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Sample records for cancer classification issues

  1. EPA`s program for risk assessment guidelines: Cancer classification issues

    Energy Technology Data Exchange (ETDEWEB)

    Wiltse, J. [Environmental Protection Agency, Washington, DC (United States)

    1990-12-31

    Issues presented are related to classification of weight of evidence in cancer risk assessments. The focus in this paper is on lines of evidence used in constructing a conclusion about potential human carcinogenicity. The paper also discusses issues that are mistakenly addressed as classification issues but are really part of the risk assessment process. 2 figs.

  2. Proteomic classification of breast cancer.

    LENUS (Irish Health Repository)

    Kamel, Dalia

    2012-11-01

    Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme-linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.

  3. Has the new TNM classification for colorectal cancer improved care?

    NARCIS (Netherlands)

    Nagtegaal, I.D.; Quirke, P.; Schmoll, H.J.

    2012-01-01

    In 2009, the Union for International Cancer Control issued the seventh edition of the well-used T (tumor), N (node), and M (metastasis) classification guidelines. There has been a continual refinement of the staging for colorectal cancer since this system for assessing tumor stage was initially adop

  4. Educational Issues in Childhood Cancer.

    Science.gov (United States)

    Armstrong, Daniel F.; Horn, Marianna

    1995-01-01

    Describes school issues for children with cancer. Presents the relationship between school performance and both the acute and long-term consequences of the type of cancer, radiation therapy, and chemotherapy. Reviews the results of the studies of the cognitive and academic effects of cranial radiation and chemotherapy, and a developmental model…

  5. Classification issues related to neuropathic trigeminal pain.

    Science.gov (United States)

    Zakrzewska, Joanna M

    2004-01-01

    The goal of a classification system of medical conditions is to facilitate accurate communication, to ensure that each condition is described uniformly and universally and that all data banks for the storage and retrieval of research and clinical data related to the conditions are consistent. Classification entails deciding which kinds of diagnostic entities should be recognized and how to order them in a meaningful way. Currently there are 3 major pain classification systems of relevance to orofacial pain: The International Association for the Study of Pain classification system, the International Headache Society classification system, and the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD). All use different methodologies, and only the RDC/TMD take into account social and psychologic factors in the classification of conditions. Classification systems need to be reliable, valid, comprehensive, generalizable, and flexible, and they need to be tested using consensus views of experts as well as the available literature. There is an urgent need for a robust classification system for neuropathic trigeminal pain.

  6. Lymphadenectomy in gastric cancer: Contentious issues

    Institute of Scientific and Technical Information of China (English)

    Pankaj Kumar Garg; Ashish Jakhetiya; Jyoti Sharma; Mukur Dipi Ray; Durgatosh Pandey

    2016-01-01

    The stomach is the sixth most common cause of cancer worldwide. Surgery is an important component of the multi-modality treatment of the gastric cancer. The extent of lymphadenectomy has been a controversial issue in the surgical management of gastric cancer. The East-Asian surgeons believe that quality-controlled extended lymphadenectomy resulting in better locoregional control leads to survival benefit in the gastric cancer; contrary to that, many western surgeons believe that extended lymphadenectomy adds to only postoperative morbidity and mortality without significantly enhancing the overall survival. We present a comprehensive review of the lymphadenectomy in the gastric cancer based on the previously published randomized controlled trials.

  7. Electronic Warfare:Issues and Challenges for Emitter Classification

    Directory of Open Access Journals (Sweden)

    Manish Gupta

    2011-04-01

    Full Text Available Electronic warfare (EW is an important capability that provides advantage to defence forces over their adversaries. Defence forces gather tactical intelligence through EW sensors, which provide the means to counter hostile actions of enemy forces. Functions of an EW system is threat detection and the area surveillance so as to determine the identity of surrounding emitters. Emitter classification system identifies possible threats by analysing intercepted signals. Problem of identifying emitters based on its intercepted signal characteristics is a challenging problem in electronic warfare studies. Major issues and challenges for emitter classification such as drifting of emitter parameters due to aging, operational characteristic of an emitter, i.e., same emitter can operate on multiple bands and multiple pulse repetition frequencies (PRFs are highlighted. A novel approach based on some well-known statistical methods, e.g., regression analysis, hypothesis testing, and discriminent analysis is proposed. The effectiveness of the proposed approach has been tested over ELINT (Electronic Intelligence data and illustrated using simulation data. The proposed approach can play a solution for wide variety of problems in emitter classification in electronic warfare studies.Defence Science Journal, 2011, 61(3, pp.228-234, DOI:http://dx.doi.org/10.14429/dsj.61.529

  8. Revised classification/nomenclature of vitiligo and related issues: the Vitiligo Global Issues Consensus Conference

    OpenAIRE

    2012-01-01

    During the 2011 International Pigment Cell Conference (IPCC), the Vitiligo European Taskforce (VETF) convened a consensus conference on issues of global importance for vitiligo clinical research. As suggested by an international panel of experts, the conference focused on four topics: classification and nomenclature; definition of stable disease; definition of Koebner’s phenomenon (KP); and ‘autoimmune vitiligo’. These topics were discussed in seven working groups representing different geogr...

  9. Registration and classification of adolescent and young adult cancer cases.

    Science.gov (United States)

    Pollock, Brad H; Birch, Jillian M

    2008-05-01

    Cancer registries are an important research resource that facilitate the study of etiology, tumor biology, patterns of delayed diagnosis and health planning needs. When outcome data are included, registries can track secular changes in survival related to improvements in early detection or treatment. The surveillance, epidemiology, and end results (SEER) registry has been used to identify major gaps in survival for older adolescent and young adult (AYA) patients compared with younger children and older adults. In order to determine the reasons for this gap, the complete registration and accurate classification of AYA malignancies is necessary. There are inconsistencies in defining the age limits for AYAs although the Adolescent and Young Adult Oncology Progress Review Group proposed a definition of ages 15 through 39 years. The central registration and classification issues for AYAs are case-finding, defining common data elements (CDE) collected across different registries and the diagnostic classification of these malignancies. Goals to achieve by 2010 include extending and validating current diagnostic classification schemes and expanding the CDE to support AYA oncology research, including the collection of tracking information to assess long-term outcomes. These efforts will advance preventive, etiologic, therapeutic, and health services-related research for this understudied age group.

  10. Novelty detection for breast cancer image classification

    Science.gov (United States)

    Cichosz, Pawel; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold

    2016-09-01

    Using classification learning algorithms for medical applications may require not only refined model creation techniques and careful unbiased model evaluation, but also detecting the risk of misclassification at the time of model application. This is addressed by novelty detection, which identifies instances for which the training set is not sufficiently representative and for which it may be safer to restrain from classification and request a human expert diagnosis. The paper investigates two techniques for isolated instance identification, based on clustering and one-class support vector machines, which represent two different approaches to multidimensional outlier detection. The prediction quality for isolated instances in breast cancer image data is evaluated using the random forest algorithm and found to be substantially inferior to the prediction quality for non-isolated instances. Each of the two techniques is then used to create a novelty detection model which can be combined with a classification model and used at the time of prediction to detect instances for which the latter cannot be reliably applied. Novelty detection is demonstrated to improve random forest prediction quality and argued to deserve further investigation in medical applications.

  11. Preprocessing for classification of thermograms in breast cancer detection

    Science.gov (United States)

    Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz

    2016-09-01

    Performance of binary classification of breast cancer suffers from high imbalance between classes. In this article we present the preprocessing module designed to negate the discrepancy in training examples. Preprocessing module is based on standardization, Synthetic Minority Oversampling Technique and undersampling. We show how each algorithm influences classification accuracy. Results indicate that described module improves overall Area Under Curve up to 10% on the tested dataset. Furthermore we propose other methods of dealing with imbalanced datasets in breast cancer classification.

  12. Revised classification/nomenclature of vitiligo and related issues: the Vitiligo Global Issues Consensus Conference.

    Science.gov (United States)

    Ezzedine, K; Lim, H W; Suzuki, T; Katayama, I; Hamzavi, I; Lan, C C E; Goh, B K; Anbar, T; Silva de Castro, C; Lee, A Y; Parsad, D; van Geel, N; Le Poole, I C; Oiso, N; Benzekri, L; Spritz, R; Gauthier, Y; Hann, S K; Picardo, M; Taieb, A

    2012-05-01

    During the 2011 International Pigment Cell Conference (IPCC), the Vitiligo European Taskforce (VETF) convened a consensus conference on issues of global importance for vitiligo clinical research. As suggested by an international panel of experts, the conference focused on four topics: classification and nomenclature; definition of stable disease; definition of Koebner's phenomenon (KP); and 'autoimmune vitiligo'. These topics were discussed in seven working groups representing different geographical regions. A consensus emerged that segmental vitiligo be classified separately from all other forms of vitiligo and that the term 'vitiligo' be used as an umbrella term for all non-segmental forms of vitiligo, including 'mixed vitiligo' in which segmental and non-segmental vitiligo are combined and which is considered a subgroup of vitiligo. Further, the conference recommends that disease stability be best assessed based on the stability of individual lesions rather than the overall stability of the disease as the latter is difficult to define precisely and reliably. The conference also endorsed the classification of KP for vitiligo as proposed by the VETF (history based, clinical observation based, or experimentally induced). Lastly, the conference agreed that 'autoimmune vitiligo' should not be used as a separate classification as published evidence indicates that the pathophysiology of all forms of vitiligo likely involves autoimmune or inflammatory mechanisms.

  13. Accurate molecular classification of cancer using simple rules

    Directory of Open Access Journals (Sweden)

    Gotoh Osamu

    2009-10-01

    Full Text Available Abstract Background One intractable problem with using microarray data analysis for cancer classification is how to reduce the extremely high-dimensionality gene feature data to remove the effects of noise. Feature selection is often used to address this problem by selecting informative genes from among thousands or tens of thousands of genes. However, most of the existing methods of microarray-based cancer classification utilize too many genes to achieve accurate classification, which often hampers the interpretability of the models. For a better understanding of the classification results, it is desirable to develop simpler rule-based models with as few marker genes as possible. Methods We screened a small number of informative single genes and gene pairs on the basis of their depended degrees proposed in rough sets. Applying the decision rules induced by the selected genes or gene pairs, we constructed cancer classifiers. We tested the efficacy of the classifiers by leave-one-out cross-validation (LOOCV of training sets and classification of independent test sets. Results We applied our methods to five cancerous gene expression datasets: leukemia (acute lymphoblastic leukemia [ALL] vs. acute myeloid leukemia [AML], lung cancer, prostate cancer, breast cancer, and leukemia (ALL vs. mixed-lineage leukemia [MLL] vs. AML. Accurate classification outcomes were obtained by utilizing just one or two genes. Some genes that correlated closely with the pathogenesis of relevant cancers were identified. In terms of both classification performance and algorithm simplicity, our approach outperformed or at least matched existing methods. Conclusion In cancerous gene expression datasets, a small number of genes, even one or two if selected correctly, is capable of achieving an ideal cancer classification effect. This finding also means that very simple rules may perform well for cancerous class prediction.

  14. SOMOTE_EASY: AN ALGORITHM TO TREAT THE CLASSIFICATION ISSUE IN REAL DATABASES

    Directory of Open Access Journals (Sweden)

    Hugo Leonardo Pereira Rufino

    2016-04-01

    Full Text Available Most classification tools assume that data distribution be balanced or with similar costs, when not properly classified. Nevertheless, in practical terms, the existence of database where unbalanced classes occur is commonplace, such as in the diagnosis of diseases, in which the confirmed cases are usually rare when compared with a healthy population. Other examples are the detection of fraudulent calls and the detection of system intruders. In these cases, the improper classification of a minority class (for instance, to diagnose a person with cancer as healthy may result in more serious consequences that incorrectly classify a majority class. Therefore, it is important to treat the database where unbalanced classes occur. This paper presents the SMOTE_Easy algorithm, which can classify data, even if there is a high level of unbalancing between different classes. In order to prove its efficiency, a comparison with the main algorithms to treat classification issues was made, where unbalanced data exist. This process was successful in nearly all tested databases

  15. Mass spectrometry cancer data classification using wavelets and genetic algorithm.

    Science.gov (United States)

    Nguyen, Thanh; Nahavandi, Saeid; Creighton, Douglas; Khosravi, Abbas

    2015-12-21

    This paper introduces a hybrid feature extraction method applied to mass spectrometry (MS) data for cancer classification. Haar wavelets are employed to transform MS data into orthogonal wavelet coefficients. The most prominent discriminant wavelets are then selected by genetic algorithm (GA) to form feature sets. The combination of wavelets and GA yields highly distinct feature sets that serve as inputs to classification algorithms. Experimental results show the robustness and significant dominance of the wavelet-GA against competitive methods. The proposed method therefore can be applied to cancer classification models that are useful as real clinical decision support systems for medical practitioners.

  16. NIM: A Node Influence Based Method for Cancer Classification

    Directory of Open Access Journals (Sweden)

    Yiwen Wang

    2014-01-01

    Full Text Available The classification of different cancer types owns great significance in the medical field. However, the great majority of existing cancer classification methods are clinical-based and have relatively weak diagnostic ability. With the rapid development of gene expression technology, it is able to classify different kinds of cancers using DNA microarray. Our main idea is to confront the problem of cancer classification using gene expression data from a graph-based view. Based on a new node influence model we proposed, this paper presents a novel high accuracy method for cancer classification, which is composed of four parts: the first is to calculate the similarity matrix of all samples, the second is to compute the node influence of training samples, the third is to obtain the similarity between every test sample and each class using weighted sum of node influence and similarity matrix, and the last is to classify each test sample based on its similarity between every class. The data sets used in our experiments are breast cancer, central nervous system, colon tumor, prostate cancer, acute lymphoblastic leukemia, and lung cancer. experimental results showed that our node influence based method (NIM is more efficient and robust than the support vector machine, K-nearest neighbor, C4.5, naive Bayes, and CART.

  17. NIM: a node influence based method for cancer classification.

    Science.gov (United States)

    Wang, Yiwen; Yao, Min; Yang, Jianhua

    2014-01-01

    The classification of different cancer types owns great significance in the medical field. However, the great majority of existing cancer classification methods are clinical-based and have relatively weak diagnostic ability. With the rapid development of gene expression technology, it is able to classify different kinds of cancers using DNA microarray. Our main idea is to confront the problem of cancer classification using gene expression data from a graph-based view. Based on a new node influence model we proposed, this paper presents a novel high accuracy method for cancer classification, which is composed of four parts: the first is to calculate the similarity matrix of all samples, the second is to compute the node influence of training samples, the third is to obtain the similarity between every test sample and each class using weighted sum of node influence and similarity matrix, and the last is to classify each test sample based on its similarity between every class. The data sets used in our experiments are breast cancer, central nervous system, colon tumor, prostate cancer, acute lymphoblastic leukemia, and lung cancer. experimental results showed that our node influence based method (NIM) is more efficient and robust than the support vector machine, K-nearest neighbor, C4.5, naive Bayes, and CART.

  18. Sparse discriminant analysis for breast cancer biomarker identification and classification

    Institute of Scientific and Technical Information of China (English)

    Yu Shi; Daoqing Dai; Chaochun Liu; Hong Yan

    2009-01-01

    Biomarker identification and cancer classification are two important procedures in microarray data analysis. We propose a novel uni-fied method to carry out both tasks. We first preselect biomarker candidates by eliminating unrelated genes through the BSS/WSS ratio filter to reduce computational cost, and then use a sparse discriminant analysis method for simultaneous biomarker identification and cancer classification. Moreover, we give a mathematical justification about automatic biomarker identification. Experimental results show that the proposed method can identify key genes that have been verified in biochemical or biomedical research and classify the breast cancer type correctly.

  19. Magnetic resonance imaging texture analysis classification of primary breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Waugh, S.A.; Lerski, R.A. [Ninewells Hospital and Medical School, Department of Medical Physics, Dundee (United Kingdom); Purdie, C.A.; Jordan, L.B. [Ninewells Hospital and Medical School, Department of Pathology, Dundee (United Kingdom); Vinnicombe, S. [University of Dundee, Division of Imaging and Technology, Ninewells Hospital and Medical School, Dundee (United Kingdom); Martin, P. [Ninewells Hospital and Medical School, Department of Clinical Radiology, Dundee (United Kingdom); Thompson, A.M. [University of Texas MD Anderson Cancer Center, Department of Surgical Oncology, Houston, TX (United States)

    2016-02-15

    Patient-tailored treatments for breast cancer are based on histological and immunohistochemical (IHC) subtypes. Magnetic Resonance Imaging (MRI) texture analysis (TA) may be useful in non-invasive lesion subtype classification. Women with newly diagnosed primary breast cancer underwent pre-treatment dynamic contrast-enhanced breast MRI. TA was performed using co-occurrence matrix (COM) features, by creating a model on retrospective training data, then prospectively applying to a test set. Analyses were blinded to breast pathology. Subtype classifications were performed using a cross-validated k-nearest-neighbour (k = 3) technique, with accuracy relative to pathology assessed and receiver operator curve (AUROC) calculated. Mann-Whitney U and Kruskal-Wallis tests were used to assess raw entropy feature values. Histological subtype classifications were similar across training (n = 148 cancers) and test sets (n = 73 lesions) using all COM features (training: 75 %, AUROC = 0.816; test: 72.5 %, AUROC = 0.823). Entropy features were significantly different between lobular and ductal cancers (p < 0.001; Mann-Whitney U). IHC classifications using COM features were also similar for training and test data (training: 57.2 %, AUROC = 0.754; test: 57.0 %, AUROC = 0.750). Hormone receptor positive and negative cancers demonstrated significantly different entropy features. Entropy features alone were unable to create a robust classification model. Textural differences on contrast-enhanced MR images may reflect underlying lesion subtypes, which merits testing against treatment response. (orig.)

  20. Multi-label classification for colon cancer using histopathological images.

    Science.gov (United States)

    Xu, Yan; Jiao, Liping; Wang, Siyu; Wei, Junsheng; Fan, Yubo; Lai, Maode; Chang, Eric I-Chao

    2013-12-01

    Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment. Our task is to build a system for colon cancer detection and classification based on slide histopathological images. Some former researches focus on single label classification. Through analyzing large amount of colon cancer images, we found that one image may contain cancer regions of multiple types. Therefore, we reformulated the task as multi-label problem. Four kinds of features (Color Histogram, Gray-Level Co-occurrence Matrix, Histogram of Oriented Gradients and Euler number) were introduced to compose our discriminative feature set, extracted from our dataset that includes six single categories and four multi-label categories. In order to evaluate the performance and make comparison with our multi-label model, three commonly used multi-classification methods were designed in our experiment including one-against-all SVM (OAA), one-against-one SVM (OAO) and multi-structure SVM. Four indicators (Precision, Recall, F-measure, and Accuracy) under 3-fold cross-validation were used to validate the performance of our approach. Experiment results show that the precision, recall and F-measure of multi-label method as 73.7%, 68.2%, and 70.8% with all features, which are higher than the other three classifiers. These results demonstrate the effectiveness and efficiency of our method on colon histopathological images analysis.

  1. Classification System for English Language Learners: Issues and Recommendations

    Science.gov (United States)

    Abedi, Jamal

    2008-01-01

    High-stakes decisions for the instruction and assessment of English language learner (ELL) students are made based on the premise that ELL classification is a valid dichotomy that distinguishes between those who are proficient in the use of the English language and those who are not. However, recent research findings draw a vague picture of the…

  2. Contour classification in thermographic images for detection of breast cancer

    Science.gov (United States)

    Okuniewski, Rafał; Nowak, Robert M.; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Oleszkiewicz, Witold

    2016-09-01

    Thermographic images of breast taken by the Braster device are uploaded into web application which uses different classification algorithms to automatically decide whether a patient should be more thoroughly examined. This article presents the approach to the task of classifying contours visible on thermographic images of breast taken by the Braster device in order to make the decision about the existence of cancerous tumors in breast. It presents the results of the researches conducted on the different classification algorithms.

  3. Classification of oral cancers using Raman spectroscopy of serum

    Science.gov (United States)

    Sahu, Aditi; Talathi, Sneha; Sawant, Sharada; Krishna, C. Murali

    2014-03-01

    Oral cancers are the sixth most common malignancy worldwide, with low 5-year disease free survival rates, attributable to late detection due to lack of reliable screening modalities. Our in vivo Raman spectroscopy studies have demonstrated classification of normal and tumor as well as cancer field effects (CFE), the earliest events in oral cancers. In view of limitations such as requirement of on-site instrumentation and stringent experimental conditions of this approach, feasibility of classification of normal and cancer using serum was explored using 532 nm excitation. In this study, strong resonance features of β-carotenes, present differentially in normal and pathological conditions, were observed. In the present study, Raman spectra of sera of 36 buccal mucosa, 33 tongue cancers and 17 healthy subjects were recorded using Raman microprobe coupled with 40X objective using 785 nm excitation, a known source of excitation for biomedical applications. To eliminate heterogeneity, average of 3 spectra recorded from each sample was subjected to PC-LDA followed by leave-one-out-cross-validation. Findings indicate average classification efficiency of ~70% for normal and cancer. Buccal mucosa and tongue cancer serum could also be classified with an efficiency of ~68%. Of the two cancers, buccal mucosa cancer and normal could be classified with a higher efficiency. Findings of the study are quite comparable to that of our earlier study, which suggest that there exist significant differences, other than β- carotenes, between normal and cancerous samples which can be exploited for the classification. Prospectively, extensive validation studies will be undertaken to confirm the findings.

  4. Posttraumatic stress disorder in early childhood: classification and diagnostic issues

    Directory of Open Access Journals (Sweden)

    Alessandra Simonelli

    2013-12-01

    Full Text Available The 0–3 diagnostic classification of infant mental health, on the basis of DSM-IV-R, describes posttraumatic stress disorder (PTSD as a pattern of symptoms that may be shown by children who have experienced a single traumatic event, a series of connected traumatic events, or chronic, enduring stress situations. This definition, related to young children, needs the consideration of several factors to understand the child's symptoms, organize the diagnostic process, and realize clinical interventions. In this sense, the clinician must appreciate the classification criteria of PTSD in early childhood in the context of the child's age, temperament, and developmental level. This report presents a review of the research in the domain of the PTSD in early childhood with particular attention to the developmental considerations to define critical diagnostic criteria, specifically organized on the child characteristics, competences, and needs. Along this line, it will describe two proposed modifications of the diagnostic classification in childhood: the Post Traumatic Stress Disorder Alternative Algorithm (PTSD-AA and the definition of developmental trauma disorder (DTD.For the abstract or full text in other languages, please see Supplementary files under Article Tools online

  5. Cancer classification based on gene expression using neural networks.

    Science.gov (United States)

    Hu, H P; Niu, Z J; Bai, Y P; Tan, X H

    2015-12-21

    Based on gene expression, we have classified 53 colon cancer patients with UICC II into two groups: relapse and no relapse. Samples were taken from each patient, and gene information was extracted. Of the 53 samples examined, 500 genes were considered proper through analyses by S-Kohonen, BP, and SVM neural networks. Classification accuracy obtained by S-Kohonen neural network reaches 91%, which was more accurate than classification by BP and SVM neural networks. The results show that S-Kohonen neural network is more plausible for classification and has a certain feasibility and validity as compared with BP and SVM neural networks.

  6. Influence of nuclei segmentation on breast cancer malignancy classification

    Science.gov (United States)

    Jelen, Lukasz; Fevens, Thomas; Krzyzak, Adam

    2009-02-01

    Breast Cancer is one of the most deadly cancers affecting middle-aged women. Accurate diagnosis and prognosis are crucial to reduce the high death rate. Nowadays there are numerous diagnostic tools for breast cancer diagnosis. In this paper we discuss a role of nuclear segmentation from fine needle aspiration biopsy (FNA) slides and its influence on malignancy classification. Classification of malignancy plays a very important role during the diagnosis process of breast cancer. Out of all cancer diagnostic tools, FNA slides provide the most valuable information about the cancer malignancy grade which helps to choose an appropriate treatment. This process involves assessing numerous nuclear features and therefore precise segmentation of nuclei is very important. In this work we compare three powerful segmentation approaches and test their impact on the classification of breast cancer malignancy. The studied approaches involve level set segmentation, fuzzy c-means segmentation and textural segmentation based on co-occurrence matrix. Segmented nuclei were used to extract nuclear features for malignancy classification. For classification purposes four different classifiers were trained and tested with previously extracted features. The compared classifiers are Multilayer Perceptron (MLP), Self-Organizing Maps (SOM), Principal Component-based Neural Network (PCA) and Support Vector Machines (SVM). The presented results show that level set segmentation yields the best results over the three compared approaches and leads to a good feature extraction with a lowest average error rate of 6.51% over four different classifiers. The best performance was recorded for multilayer perceptron with an error rate of 3.07% using fuzzy c-means segmentation.

  7. Novel approaches for the molecular classification of prostate cancer

    Institute of Scientific and Technical Information of China (English)

    Robert H. Getzenberg

    2010-01-01

    @@ Among the urologic cancers, prostate cancer is by far the most common, and it appears to have the potential to affect almost all men throughout the world as they age. A number of studies have shown that many men with prostate cancer will not die from their disease, but rather with the disease but from other causes. These men have a form of prostate cancer that is de-scribed as "very low risk" and has often been called indolent. There are however a group of men that have a form of prostate cancer that is much more aggressive and life threatening. Unlike other cancer types, we have few tools to provide for the molecular classification of prostate cancer.

  8. Nutrition and cancer: issues related to treatment and survivorship.

    Science.gov (United States)

    Witham, Gary

    2013-10-01

    This paper reviews nutritional issues related to cancer treatment and further explores nutritional needs pertinent to cancer survivorship. It examines the major problems with nutrition when patients undergo the main cancer treatment modalities of chemotherapy, radiotherapy and surgery. Particular attention is paid to long-term dietary advice in acknowledgement of the improved effectiveness of cancer treatment and the chronic nature of the condition.

  9. Weakly supervised histopathology cancer image segmentation and classification.

    Science.gov (United States)

    Xu, Yan; Zhu, Jun-Yan; Chang, Eric I-Chao; Lai, Maode; Tu, Zhuowen

    2014-04-01

    Labeling a histopathology image as having cancerous regions or not is a critical task in cancer diagnosis; it is also clinically important to segment the cancer tissues and cluster them into various classes. Existing supervised approaches for image classification and segmentation require detailed manual annotations for the cancer pixels, which are time-consuming to obtain. In this paper, we propose a new learning method, multiple clustered instance learning (MCIL) (along the line of weakly supervised learning) for histopathology image segmentation. The proposed MCIL method simultaneously performs image-level classification (cancer vs. non-cancer image), medical image segmentation (cancer vs. non-cancer tissue), and patch-level clustering (different classes). We embed the clustering concept into the multiple instance learning (MIL) setting and derive a principled solution to performing the above three tasks in an integrated framework. In addition, we introduce contextual constraints as a prior for MCIL, which further reduces the ambiguity in MIL. Experimental results on histopathology colon cancer images and cytology images demonstrate the great advantage of MCIL over the competing methods.

  10. Cancer classification using the Immunoscore: a worldwide task force.

    Science.gov (United States)

    Galon, Jérôme; Pagès, Franck; Marincola, Francesco M; Angell, Helen K; Thurin, Magdalena; Lugli, Alessandro; Zlobec, Inti; Berger, Anne; Bifulco, Carlo; Botti, Gerardo; Tatangelo, Fabiana; Britten, Cedrik M; Kreiter, Sebastian; Chouchane, Lotfi; Delrio, Paolo; Arndt, Hartmann; Asslaber, Martin; Maio, Michele; Masucci, Giuseppe V; Mihm, Martin; Vidal-Vanaclocha, Fernando; Allison, James P; Gnjatic, Sacha; Hakansson, Leif; Huber, Christoph; Singh-Jasuja, Harpreet; Ottensmeier, Christian; Zwierzina, Heinz; Laghi, Luigi; Grizzi, Fabio; Ohashi, Pamela S; Shaw, Patricia A; Clarke, Blaise A; Wouters, Bradly G; Kawakami, Yutaka; Hazama, Shoichi; Okuno, Kiyotaka; Wang, Ena; O'Donnell-Tormey, Jill; Lagorce, Christine; Pawelec, Graham; Nishimura, Michael I; Hawkins, Robert; Lapointe, Réjean; Lundqvist, Andreas; Khleif, Samir N; Ogino, Shuji; Gibbs, Peter; Waring, Paul; Sato, Noriyuki; Torigoe, Toshihiko; Itoh, Kyogo; Patel, Prabhu S; Shukla, Shilin N; Palmqvist, Richard; Nagtegaal, Iris D; Wang, Yili; D'Arrigo, Corrado; Kopetz, Scott; Sinicrope, Frank A; Trinchieri, Giorgio; Gajewski, Thomas F; Ascierto, Paolo A; Fox, Bernard A

    2012-10-03

    Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the 'Immunoscore' into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J

  11. Gender and cultural issues in psychiatric nosological classification systems.

    Science.gov (United States)

    van de Water, Tanya; Suliman, Sharain; Seedat, Soraya

    2016-08-01

    Much has changed since the two dominant mental health nosological systems, the International Classification of Diseases (ICD) and the Diagnostic and Statistical Manual of Mental Disorders (DSM), were first published in 1900 and 1952, respectively. Despite numerous modifications to stay up to date with scientific and cultural changes (eg, exclusion of homosexuality as a disorder) and to improve the cultural sensitivity of psychiatric diagnoses, the ICD and DSM have only recently renewed attempts at harmonization. Previous nosological iterations demonstrate the oscillation in the importance placed on the biological focus, highlighting the tension between a gender- and culture-free nosology (solely biological) and a contextually relevant understanding of mental illness. In light of the release of the DSM 5, future nosological systems, such as the ICD 11, scheduled for release in 2017, and the Research Development Criteria (RDoC), can learn from history and apply critiques. This article aims to critically consider gender and culture in previous editions of the ICD and DSM to inform forthcoming classifications.

  12. Sentiment Classification of Social Issues Using Contextual Valence Shifters

    Directory of Open Access Journals (Sweden)

    Prakash Kumar Singh

    2015-08-01

    Full Text Available The growth of science and technology contributes in the growth of social website and electronic media at vast scale. Due to development in field of information technology, all information about anything is globally available on internet, which is great source of data and information. Data or data sets available on internet in unstructured form. To analysis the unstructured data, we need method which convert it into structured data then analyze those data. NLP, Linguistic Computation and text mining are used to analyze/extract the opinion of people from given source data (comments, blogs, feedback and reviews. Sentiment analysis is emerged as the text analysis method, which extracts the opinion from comments, feedbacks and reviews. Sentiment Classification techniques are widely used for sentiment classification of reviews and feedbacks of customers and viewers on movie, product and services. The given feedbacks and reviews are classified into two class- positive and negative class. This paper focuses on study of negative sentences, identification of those negative sentences and calculation of sentiment score of negative sentences.

  13. MORPHOLOGICAL CLASSIFICATION OF RENAL-CANCER

    NARCIS (Netherlands)

    STORKEL, S; VANDENBERG, E

    1995-01-01

    The current classification of renal-cell adenomas (RCAs) and carcinomas (RCCs) is based on eight basic cell and tumor types (entities) with characteristic morphologic features: (1) RCCs of clear-cell type, (2) RCAs/RCCs of chromophilic-cell type, (3) RCAs/RCCs of chromophobic-cell type, (4) RCCs of

  14. Definition and classification of cancer cachexia: an international consensus.

    Science.gov (United States)

    Fearon, Kenneth; Strasser, Florian; Anker, Stefan D; Bosaeus, Ingvar; Bruera, Eduardo; Fainsinger, Robin L; Jatoi, Aminah; Loprinzi, Charles; MacDonald, Neil; Mantovani, Giovanni; Davis, Mellar; Muscaritoli, Maurizio; Ottery, Faith; Radbruch, Lukas; Ravasco, Paula; Walsh, Declan; Wilcock, Andrew; Kaasa, Stein; Baracos, Vickie E

    2011-05-01

    To develop a framework for the definition and classification of cancer cachexia a panel of experts participated in a formal consensus process, including focus groups and two Delphi rounds. Cancer cachexia was defined as a multifactorial syndrome defined by an ongoing loss of skeletal muscle mass (with or without loss of fat mass) that cannot be fully reversed by conventional nutritional support and leads to progressive functional impairment. Its pathophysiology is characterised by a negative protein and energy balance driven by a variable combination of reduced food intake and abnormal metabolism. The agreed diagnostic criterion for cachexia was weight loss greater than 5%, or weight loss greater than 2% in individuals already showing depletion according to current bodyweight and height (body-mass index [BMI] definition and classification of cancer cachexia. After validation, this should aid clinical trial design, development of practice guidelines, and, eventually, routine clinical management.

  15. Current Issues in the Classification of Psychotic Major Depression

    Science.gov (United States)

    Keller, Jennifer; Schatzberg, Alan F.; Maj, Mario

    2007-01-01

    Depression is one of the most common mental disorders worldwide. There are a number of depression subtypes, and there has been much debate about how to most accurately capture and organize the features and subtypes of major depression. We review the current state of categorizing unipolar major depression with psychotic features (psychotic major depression, PMD), including clinical, biological, and treatment aspects of the disorder. We then propose some improvements to the current unipolar major depression categorization system. Finally, we identify important issues in need of further research to help elucidate the subtype of unipolar PMD. PMID:17548842

  16. Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification.

    Science.gov (United States)

    Algamal, Zakariya Yahya; Lee, Muhammad Hisyam

    2015-12-01

    Cancer classification and gene selection in high-dimensional data have been popular research topics in genetics and molecular biology. Recently, adaptive regularized logistic regression using the elastic net regularization, which is called the adaptive elastic net, has been successfully applied in high-dimensional cancer classification to tackle both estimating the gene coefficients and performing gene selection simultaneously. The adaptive elastic net originally used elastic net estimates as the initial weight, however, using this weight may not be preferable for certain reasons: First, the elastic net estimator is biased in selecting genes. Second, it does not perform well when the pairwise correlations between variables are not high. Adjusted adaptive regularized logistic regression (AAElastic) is proposed to address these issues and encourage grouping effects simultaneously. The real data results indicate that AAElastic is significantly consistent in selecting genes compared to the other three competitor regularization methods. Additionally, the classification performance of AAElastic is comparable to the adaptive elastic net and better than other regularization methods. Thus, we can conclude that AAElastic is a reliable adaptive regularized logistic regression method in the field of high-dimensional cancer classification.

  17. Prediction of Breast Cancer using Rule Based Classification

    Directory of Open Access Journals (Sweden)

    Nagendra Kumar SINGH

    2015-12-01

    Full Text Available The current work proposes a model for prediction of breast cancer using the classification approach in data mining. The proposed model is based on various parameters, including symptoms of breast cancer, gene mutation and other risk factors causing breast cancer. Mutations have been predicted in breast cancer causing genes with the help of alignment of normal and abnormal gene sequences; then predicting the class label of breast cancer (risky or safe on the basis of IF-THEN rules, using Genetic Algorithm (GA. In this work, GA has used variable gene encoding mechanisms for chromosomes encoding, uniform population generations and selects two chromosomes by Roulette-Wheel selection technique for two-point crossover, which gives better solutions. The performance of the model is evaluated using the F score measure, Matthews Correlation Coefficient (MCC and Receiver Operating Characteristic (ROC by plotting points (Sensitivity V/s 1- Specificity.

  18. Classification of alarm processing techniques and human performance issues

    Energy Technology Data Exchange (ETDEWEB)

    Kim, I.S.; O' Hara, J.M.

    1993-01-01

    Human factors reviews indicate that conventional alarm systems based on the one sensor, one alarm approach, have many human engineering deficiencies, a paramount example being too many alarms during major disturbances. As an effort to resolve these deficiencies, various alarm processing systems have been developed using different techniques. To ensure their contribution to operational safety, the impacts of those systems on operating crew performance should be carefully evaluated. This paper briefly reviews some of the human factors research issues associated with alarm processing techniques and then discusses a framework with which to classify the techniques. The dimensions of this framework can be used to explore the effects of alarm processing systems on human performance.

  19. Classification of alarm processing techniques and human performance issues

    Energy Technology Data Exchange (ETDEWEB)

    Kim, I.S.; O`Hara, J.M.

    1993-05-01

    Human factors reviews indicate that conventional alarm systems based on the one sensor, one alarm approach, have many human engineering deficiencies, a paramount example being too many alarms during major disturbances. As an effort to resolve these deficiencies, various alarm processing systems have been developed using different techniques. To ensure their contribution to operational safety, the impacts of those systems on operating crew performance should be carefully evaluated. This paper briefly reviews some of the human factors research issues associated with alarm processing techniques and then discusses a framework with which to classify the techniques. The dimensions of this framework can be used to explore the effects of alarm processing systems on human performance.

  20. A Novel Segment Classification for Multifocal and Multicentric Breast Cancer to Facilitate Breast-Conservation Treatment.

    Science.gov (United States)

    Tan, Mona P

    2015-01-01

    Breast conservation treatment (BCT) is an appropriate alternative to mastectomy for the treatment of unifocal breast cancer. Multifocal and multicentric breast cancers (MFMCBC) challenge conventional indications for BCT and are often treated with mastectomy. Following progress in treatment strategies for unifocal tumors, there was a movement to evaluate the use of BCT for MFMCBC. Now a growing body of evidence from retrospective data has emerged, demonstrating acceptable local control and overall survival rates with BCT for MFMCBC. Prospective studies are needed to confirm these findings. One of the possible barriers to such trials is the absence of a standardized classification and nomenclature for MFMCBC at this point in time. A novel segment classification is presented in this article in an endeavor to overcome this deficiency and allow future work on this issue.

  1. Pathological Bases for a Robust Application of Cancer Molecular Classification

    Directory of Open Access Journals (Sweden)

    Salvador J. Diaz-Cano

    2015-04-01

    Full Text Available Any robust classification system depends on its purpose and must refer to accepted standards, its strength relying on predictive values and a careful consideration of known factors that can affect its reliability. In this context, a molecular classification of human cancer must refer to the current gold standard (histological classification and try to improve it with key prognosticators for metastatic potential, staging and grading. Although organ-specific examples have been published based on proteomics, transcriptomics and genomics evaluations, the most popular approach uses gene expression analysis as a direct correlate of cellular differentiation, which represents the key feature of the histological classification. RNA is a labile molecule that varies significantly according with the preservation protocol, its transcription reflect the adaptation of the tumor cells to the microenvironment, it can be passed through mechanisms of intercellular transference of genetic information (exosomes, and it is exposed to epigenetic modifications. More robust classifications should be based on stable molecules, at the genetic level represented by DNA to improve reliability, and its analysis must deal with the concept of intratumoral heterogeneity, which is at the origin of tumor progression and is the byproduct of the selection process during the clonal expansion and progression of neoplasms. The simultaneous analysis of multiple DNA targets and next generation sequencing offer the best practical approach for an analytical genomic classification of tumors.

  2. Clinicopathological classification and individualized treatment of breast cancer

    Institute of Scientific and Technical Information of China (English)

    HU Hui; LIU Yin-hua; XU Ling; ZHAO Jian-xin; DUAN Xue-ning; YE Jing-ming; LI Ting

    2013-01-01

    Background The clinicopathological classification was proposed in the St.Gallen Consensus Report 2011.We conducted a retrospective analysis of breast cancer subtypes,tumor-nodal-metastatic (TNM) staging,and histopathological grade to investigate the value of these parameters in the treatment strategies of invasive breast cancer.Methods A retrospective analysis of breast cancer subtypes,TNM staging,and histopathological grading of 213 cases has been performed by the methods recommended in the St.Gallen International Expert Consensus Report 2011.The estrogen receptor (ER),progesterone receptor (PR),human epidermal growth factor receptor-2 (HER2),and Ki-67 of 213 tumor samples have been investigated by immunohistochemistry according to methods for classifying breast cancer subtypes proposed in the St.Gallen Consensus Report 2011.Results The luminal A subtype was found in 53 patients (24.9%),the luminal B subtype was found in 112 patients (52.6%),the HER2-positive subtype was found in 22 patients (10.3%),and the triple-negative subtype was found in 26 patients (12%).Histopathological grade and TNM staging differed significantly among the four subtypes of breast cancer (P<0.001).Conclusion It is important to consider TNM staging and histopathological grading in the treatment strategies of breast cancer based on the current clinicopathological classification methods.

  3. Impact of full field digital mammography on the classification and mammographic characteristics of interval breast cancers

    Energy Technology Data Exchange (ETDEWEB)

    Knox, Mark, E-mail: marktknox@gmail.com; O’Brien, Angela, E-mail: angelaobrien@doctors.org.uk; Szabó, Endre, E-mail: endrebacsi@freemail.hu; Smith, Clare S., E-mail: csmith@mater.ie; Fenlon, Helen M., E-mail: helen.fenlon@cancerscreening.ie; McNicholas, Michelle M., E-mail: michelle.mcnicholas@cancerscreening.ie; Flanagan, Fidelma L., E-mail: fidelma.flanagan@cancerscreening.ie

    2015-06-15

    Highlights: • Digital mammography has changed the presentation of interval breast cancer. • Less interval breast cancers are associated with microcalcifications following FFDM. • Interval breast cancer audit remains a key feature of any breast screening program. - Abstract: Objective: Full field digital mammography (FFDM) is increasingly replacing screen film mammography (SFM) in breast screening programs. Interval breast cancers are an issue in all screening programs and the purpose of our study is to assess the impact of FFDM on the classification of interval breast cancers at independent blind review and to compare the mammographic features of interval cancers at FFDM and SFM. Materials and methods: This study included 138 cases of interval breast cancer, 76 following an FFDM screening examination and 62 following screening with SFM. The prior screening mammogram was assessed by each of five consultant breast radiologists who were blinded to the site of subsequent cancer. Subsequent review of the diagnostic mammogram was performed and cases were classified as missed, minimal signs, occult or true interval. Mammographic features of the interval cancer at diagnosis and any abnormality identified on the prior screening mammogram were recorded. Results: The percentages of cancers classified as missed at FFDM and SFM did not differ significantly, 10.5% (8 of 76) at FFDM and 8.1% (5 of 62) at SFM (p = .77). There were significantly less interval cancers presenting as microcalcifications (alone or in association with another abnormality) following screening with FFDM, 16% (12 of 76) than following a SFM examination, 32% (20 of 62) (p = .02). Conclusion: Interval breast cancers continue to pose a problem at FFDM. The switch to FFDM has changed the mammographic presentation of interval breast cancer, with less interval cancers presenting in association with microcalcifications.

  4. Classification of neuropathic pain in cancer patients

    DEFF Research Database (Denmark)

    Brunelli, Cinzia; Bennett, Michael I; Kaasa, Stein

    2014-01-01

    and on the relevance of patient-reported outcome (PRO) descriptors for the screening of NP in this population. An international group of 42 experts was invited to participate in a consensus process through a modified 2-round Internet-based Delphi survey. Relevant topics investigated were: peculiarities of NP...... in patients with cancer, IASP NeuPSIG diagnostic criteria adaptation and assessment, and standardized PRO assessment for NP screening. Median consensus scores (MED) and interquartile ranges (IQR) were calculated to measure expert consensus after both rounds. Twenty-nine experts answered, and good agreement...

  5. Genetic Testing for Rare Cancer: The Wider Issues.

    Science.gov (United States)

    Jacobs, Chris; Pichert, Gabriella

    2016-01-01

    Identification of a potential genetic susceptibility to cancer and confirmation of a pathogenic gene mutation raises a number of challenging issues for the patient with cancer, their relatives and the health professionals caring for them. The specific risks and management issues associated with rare cancer types have been addressed in the earlier chapters. This chapter considers the wider issues involved in genetic counselling and genetic testing for a genetic susceptibility to cancer for patients, families and health professionals. The first part of the chapter will present the issues raised by the current practice in genetic counselling and genetic testing for cancer susceptibility. The second part of the chapter will address some of the issues raised by the advances in genetic testing technology and the future opportunities provided by personalised medicine and targeted cancer therapy. Facilitating these developments requires closer integration of genomics into mainstream cancer care, challenging the existing paradigm of genetic medicine, adding additional layers of complexity to the risk assessment and management of cancer and presenting wider issues for patients, families, health professionals and clinical services.

  6. Cancer classification using the Immunoscore: a worldwide task force

    Directory of Open Access Journals (Sweden)

    Galon Jérôme

    2012-10-01

    Full Text Available Abstract Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification summarizes data on tumor burden (T, presence of cancer cells in draining and regional lymph nodes (N and evidence for metastases (M. However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the ‘Immunoscore’ into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of

  7. Classification of Cancer Recurrence with Alpha-Beta BAM

    Directory of Open Access Journals (Sweden)

    María Elena Acevedo

    2009-01-01

    Full Text Available Bidirectional Associative Memories (BAMs based on first model proposed by Kosko do not have perfect recall of training set, and their algorithm must iterate until it reaches a stable state. In this work, we use the model of Alpha-Beta BAM to classify automatically cancer recurrence in female patients with a previous breast cancer surgery. Alpha-Beta BAM presents perfect recall of all the training patterns and it has a one-shot algorithm; these advantages make to Alpha-Beta BAM a suitable tool for classification. We use data from Haberman database, and leave-one-out algorithm was applied to analyze the performance of our model as classifier. We obtain a percentage of classification of 99.98%.

  8. Classification of Rat FTIR Colon Cancer Data Using Waveletsand BPNN

    Institute of Scientific and Technical Information of China (English)

    CHENG,Cungui; XIONG,Wei; TIAN,Yumei

    2009-01-01

    A feature extracting method based on wavelets for horizontal attenuated total reflectance Fourier transform in-frared spectroscopy (HATR-FTIR) and the cancer classification using artificial neural network trained with back-propagation algorithm is presented. The FTIR data collected from 36 normal Sprague-dawley (SD) rats, 60 1,2-DMH-induced SD rats, and 44 second generation rats of those induced rats were first preprocessed. Then, 12 feature variants were extracted using continuous wavelet analysis. Based on BPNN classification, all spectra were classified into two categories: normal and abnormal ones. The accuracy values of identifying normal, dysplastic, early carcinoma, and advanced carcinoma were 100%, 94%, 97.5%, and 100%, respectively. This result indicated that FTIR with continuous wavelet transform (CWT) and the back-propagation neural network (BPNN) could ef- fectively and easily diagnose colon cancer in its early stages.

  9. Computer aided decision support system for cervical cancer classification

    Science.gov (United States)

    Rahmadwati, Rahmadwati; Naghdy, Golshah; Ros, Montserrat; Todd, Catherine

    2012-10-01

    Conventional analysis of a cervical histology image, such a pap smear or a biopsy sample, is performed by an expert pathologist manually. This involves inspecting the sample for cellular level abnormalities and determining the spread of the abnormalities. Cancer is graded based on the spread of the abnormal cells. This is a tedious, subjective and time-consuming process with considerable variations in diagnosis between the experts. This paper presents a computer aided decision support system (CADSS) tool to help the pathologists in their examination of the cervical cancer biopsies. The main aim of the proposed CADSS system is to identify abnormalities and quantify cancer grading in a systematic and repeatable manner. The paper proposes three different methods which presents and compares the results using 475 images of cervical biopsies which include normal, three stages of pre cancer, and malignant cases. This paper will explore various components of an effective CADSS; image acquisition, pre-processing, segmentation, feature extraction, classification, grading and disease identification. Cervical histological images are captured using a digital microscope. The images are captured in sufficient resolution to retain enough information for effective classification. Histology images of cervical biopsies consist of three major sections; background, stroma and squamous epithelium. Most diagnostic information are contained within the epithelium region. This paper will present two levels of segmentations; global (macro) and local (micro). At the global level the squamous epithelium is separated from the background and stroma. At the local or cellular level, the nuclei and cytoplasm are segmented for further analysis. Image features that influence the pathologists' decision during the analysis and classification of a cervical biopsy are the nuclei's shape and spread; the ratio of the areas of nuclei and cytoplasm as well as the texture and spread of the abnormalities

  10. Testicular cancer: addressing the psychosexual issues.

    LENUS (Irish Health Repository)

    Moore, Annamarie

    2012-01-31

    Testicular cancer is the most common malignancy in men aged 15-35 years and predominantly occurs at a time in a man\\'s life when important decisions about marriage, starting a family and a professional career are being made. While treatments for testicular cancer are very successful, they can have a major impact on the person\\'s sexuality and sense of self. The focus of this article is on exploring the impact of cancer treatments for testicular cancer on men\\'s sexuality and how nurses can respond to their concerns in a sensitive and informed manner.

  11. Current issues in gastric cancer epidemiology.

    Science.gov (United States)

    Patru, C L; Surlin, V; Georgescu, I; Patru, Emilia

    2013-01-01

    Gastric cancer, one of the most common malignant tumors of digestive tract continues to be a major health problem by frequency, aggressiveness and low rate of cure in symptomatic stage. Although its incidence is decreasing (especially in the West), globally the gastric cancer is ranked fourth in incidence among cancers at various sites. Despite these developments, the gastric cancer mortality, overall declining globally, is high. especially in the West where even if diagnosed fewer cases of gastric cancer, TNM stages are advanced and have a poor prognosis. In contrast, in Japan, where the incidence is still high, the percentage of cases diagnosed at the stage of "early gastric cancer" has greatly increased, thus improving prognosis. Gastric neoplasia affects more men, age range 50-70 years, disadvantaged social classes and black race. In Romania the gastric cancer incidence is increasing over recent years, presenting variations across the country being more common in men compared with women, reaching a peak of incidence around age 60. Gastric cancer mortality in the world places Romania among the countries with average mortality. Gastric cancer prognosis remains extremely reserved, in close correlation with tumor stage at diagnosis, surgical treatment being the only possibility to provide improved survival, especially in the early stages. Improvement of survival rate in recent years is due to increased gastric resectability result of an earlier diagnosis, a more complex treatment and a closer monitoring of the population at risk.

  12. [New molecular classification of colorectal cancer, pancreatic cancer and stomach cancer: Towards "à la carte" treatment?].

    Science.gov (United States)

    Dreyer, Chantal; Afchain, Pauline; Trouilloud, Isabelle; André, Thierry

    2016-01-01

    This review reports 3 of recently published molecular classifications of the 3 main gastro-intestinal cancers: gastric, pancreatic and colorectal adenocarcinoma. In colorectal adenocarcinoma, 6 independent classifications were combined to finally hold 4 molecular sub-groups, Consensus Molecular Subtypes (CMS 1-4), linked to various clinical, molecular and survival data. CMS1 (14% MSI with immune activation); CMS2 (37%: canonical with epithelial differentiation and activation of the WNT/MYC pathway); CMS3 (13% metabolic with epithelial differentiation and RAS mutation); CMS4 (23%: mesenchymal with activation of TGFβ pathway and angiogenesis with stromal invasion). In gastric adenocarcinoma, 4 groups were established: subtype "EBV" (9%, high frequency of PIK3CA mutations, hypermetylation and amplification of JAK2, PD-L1 and PD-L2), subtype "MSI" (22%, high rate of mutation), subtype "genomically stable tumor" (20%, diffuse histology type and mutations of RAS and genes encoding integrins and adhesion proteins including CDH1) and subtype "tumors with chromosomal instability" (50%, intestinal type, aneuploidy and receptor tyrosine kinase amplification). In pancreatic adenocarcinomas, a classification in four sub-groups has been proposed, stable subtype (20%, aneuploidy), locally rearranged subtype (30%, focal event on one or two chromosoms), scattered subtype (36%,200 structural variation events, defects in DNA maintenance). Although currently away from the care of patients, these classifications open the way to "à la carte" treatment depending on molecular biology.

  13. Surviving testicular cancer : sexuality & other existential issues

    NARCIS (Netherlands)

    Pool, Grietje

    2003-01-01

    The thesis deals with the psychological aspects of ‘sexuality after testicular cancer’, where my collegue, the physician dr. Van Basten formerly predominantly described the physical-biological aspects of this subject. Testicular cancer is a type of male genital cancer, usually diagnosed between abou

  14. Classification of breast cancer cytological specimen using convolutional neural network

    Science.gov (United States)

    Żejmo, Michał; Kowal, Marek; Korbicz, Józef; Monczak, Roman

    2017-01-01

    The paper presents a deep learning approach for automatic classification of breast tumors based on fine needle cytology. The main aim of the system is to distinguish benign from malignant cases based on microscopic images. Experiment was carried out on cytological samples derived from 50 patients (25 benign cases + 25 malignant cases) diagnosed in Regional Hospital in Zielona Góra. To classify microscopic images, we used convolutional neural networks (CNN) of two types: GoogLeNet and AlexNet. Due to the very large size of images of cytological specimen (on average 200000 × 100000 pixels), they were divided into smaller patches of size 256 × 256 pixels. Breast cancer classification usually is based on morphometric features of nuclei. Therefore, training and validation patches were selected using Support Vector Machine (SVM) so that suitable amount of cell material was depicted. Neural classifiers were tuned using GPU accelerated implementation of gradient descent algorithm. Training error was defined as a cross-entropy classification loss. Classification accuracy was defined as the percentage ratio of successfully classified validation patches to the total number of validation patches. The best accuracy rate of 83% was obtained by GoogLeNet model. We observed that more misclassified patches belong to malignant cases.

  15. Improved PCA + LDA Applies to Gastric Cancer Image Classification Process

    Science.gov (United States)

    Gan, Lan; Lv, Wenya; Zhang, Xu; Meng, Xiuming

    Principal component analysis (PCA) and linear discriminant analysis (LDA) are two most widely used pattern recognition methods in the field of feature extraction,while PCA + LDA is often used in image recognition.Here,we apply PCA + LDA to gastric cancer image feature classification, but the traditional PCA + LDA dimension reduction method has good effect on the training sample dimensionality and clustering, the effect on test samples dimension reduction and clustering is very poor, that is, the traditional PCA + LDA exists Generalization problem on the test samples. To solve this problem, this paper proposes an improved PCA + LDA method, which mainly considers from the LDA transform; improves the traditional PCA + LDA;increase the generalization performance of LDA on test samples and increases the classification accuracy on test samples. The experiment proves that the method can achieve good clustering.

  16. Molecular diagnosis of prostate cancer: Topical issues

    Directory of Open Access Journals (Sweden)

    E. N. Knyazev

    2014-12-01

    Full Text Available Prostate cancer (PC is the second most common cancer and the fifth highest malignancy mortality rate in men worldwide. Although PC is detectable in 15-20% of men during life, its death risk is only about 3%. This means that not all PC cases require the same management tactics. The given review analyzes the current investigations searching for molecular biological markers to predict the course of PC and to choose its treatment policy, including that in the development of resistance to androgen-deprivation therapy.

  17. Molecular Classification of Gastric Cancer: A new paradigm

    Science.gov (United States)

    Shah, Manish A.; Khanin, Raya; Tang, Laura; Janjigian, Yelena Y.; Klimstra, David S.; Gerdes, Hans; Kelsen, David P.

    2011-01-01

    Purpose Gastric cancer may be subdivided into three distinct subtypes –proximal, diffuse, and distal gastric cancer– based on histopathologic and anatomic criteria. Each subtype is associated with unique epidemiology. Our aim is to test the hypothesis that these distinct gastric cancer subtypes may also be distinguished by gene expression analysis. Experimental Design Patients with localized gastric adenocarcinoma being screened for a phase II preoperative clinical trial (NCI 5917) underwent endoscopic biopsy for fresh tumor procurement. 4–6 targeted biopsies of the primary tumor were obtained. Macrodissection was performed to ensure >80% carcinoma in the sample. HG-U133A GeneChip (Affymetrix) was used for cDNA expression analysis, and all arrays were processed and analyzed using the Bioconductor R-package. Results Between November 2003 and January 2006, 57 patients were screened to identify 36 patients with localized gastric cancer who had adequate RNA for expression analysis. Using supervised analysis, we built a classifier to distinguish the three gastric cancer subtypes, successfully classifying each into tightly grouped clusters. Leave-one-out cross validation error was 0.14, suggesting that >85% of samples were classified correctly. Gene set analysis with the False Discovery Rate set at 0.25 identified several pathways that were differentially regulated when comparing each gastric cancer subtype to adjacent normal stomach. Conclusions Subtypes of gastric cancer that have epidemiologic and histologic distinction are also distinguished by gene expression data. These preliminary data suggest a new classification of gastric cancer with implications for improving our understanding of disease biology and identification of unique molecular drivers for each gastric cancer subtype. PMID:21430069

  18. Familial pancreatic cancer: Concept, management and issues

    Science.gov (United States)

    Matsubayashi, Hiroyuki; Takaori, Kyoichi; Morizane, Chigusa; Maguchi, Hiroyuki; Mizuma, Masamichi; Takahashi, Hideaki; Wada, Keita; Hosoi, Hiroko; Yachida, Shinichi; Suzuki, Masami; Usui, Risa; Furukawa, Toru; Furuse, Junji; Sato, Takamitsu; Ueno, Makoto; Kiyozumi, Yoshimi; Hijioka, Susumu; Mizuno, Nobumasa; Terashima, Takeshi; Mizumoto, Masaki; Kodama, Yuzo; Torishima, Masako; Kawaguchi, Takahisa; Ashida, Reiko; Kitano, Masayuki; Hanada, Keiji; Furukawa, Masayuki; Kawabe, Ken; Majima, Yoshiyuki; Shimosegawa, Toru

    2017-01-01

    Familial pancreatic cancer (FPC) is broadly defined as two first-degree-relatives with pancreatic cancer (PC) and accounts for 4%-10% of PC. Several genetic syndromes, including Peutz-Jeghers syndrome, hereditary pancreatitis, hereditary breast-ovarian cancer syndrome (HBOC), Lynch syndrome, and familial adenomatous polyposis (FAP), also have increased risks of PC, but the narrowest definition of FPC excludes these known syndromes. When compared with other familial tumors, proven genetic alterations are limited to a small proportion ( Caucasian) and a younger onset are common also in FPC. In European countries, “anticipation” is reported in FPC families, as with other hereditary syndromes; a trend toward younger age and worse prognosis is recognized in the late years. The resected pancreases of FPC kindred often show multiple pancreatic intraepithelial neoplasia (PanIN) foci, with various K-ras mutations, similar to colorectal polyposis seen in the FAP patients. As with HBOC patients, a patient who is a BRCA mutation carrier with unresectable pancreatic cancer (accounting for 0%-19% of FPC patients) demonstrated better outcome following platinum and Poly (ADP-ribose) polymerase inhibitor treatment. Western countries have established FPC registries since the 1990s and several surveillance projects for high-risk individuals are now ongoing to detect early PCs. Improvement in lifestyle habits, including non-smoking, is recommended for individuals at risk. In Japan, the FPC study group was initiated in 2013 and the Japanese FPC registry was established in 2014 by the Japan Pancreas Society.

  19. Classification of Cancer-related Death Certificates using Machine Learning

    Directory of Open Access Journals (Sweden)

    Luke Butt

    2013-05-01

    Full Text Available BackgroundCancer monitoring and prevention relies on the critical aspect of timely notification of cancer cases. However, the abstraction and classification of cancer from the free-text of pathology reports and other relevant documents, such as death certificates, exist as complex and time-consuming activities.AimsIn this paper, approaches for the automatic detection of notifiable cancer cases as the cause of death from free-text death certificates supplied to Cancer Registries are investigated.Method A number of machine learning classifiers were studied. Features were extracted using natural language techniques and the Medtex toolkit. The numerous features encompassed stemmed words, bi-grams, and concepts from the SNOMED CT medical terminology. The baseline consisted of a keyword spotter using keywords extracted from the long description of ICD-10 cancer related codes.ResultsDeath certificates with notifiable cancer listed as the cause of death can be effectively identified with the methods studied in this paper. A Support Vector Machine (SVM classifier achieved best performance with an overall F-measure of 0.9866 when evaluated on a set of 5,000 free-text death certificates using the token stem feature set. The SNOMED CT concept plus token stem feature set reached the lowest variance (0.0032 and false negative rate (0.0297 while achieving an F-measure of 0.9864. The SVM classifier accounts for the first 18 of the top 40 evaluated runs, and entails the most robust classifier with a variance of 0.001141, half the variance of the other classifiers.ConclusionThe selection of features significantly produced the most influences on the performance of the classifiers, although the type of classifier employed also affects performance. In contrast, the feature weighting schema created a negligible effect on performance. Specifically, it is found that stemmed tokens with or without SNOMED CT concepts create the most effective feature when combined with

  20. Swarm Intelligence Approach Based on Adaptive ELM Classifier with ICGA Selection for Microarray Gene Expression and Cancer Classification

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    T. Karthikeyan

    2014-05-01

    Full Text Available The aim of this research study is based on efficient gene selection and classification of microarray data analysis using hybrid machine learning algorithms. The beginning of microarray technology has enabled the researchers to quickly measure the position of thousands of genes expressed in an organic/biological tissue samples in a solitary experiment. One of the important applications of this microarray technology is to classify the tissue samples using their gene expression representation, identify numerous type of cancer. Cancer is a group of diseases in which a set of cells shows uncontrolled growth, instance that interrupts upon and destroys nearby tissues and spreading to other locations in the body via lymph or blood. Cancer has becomes a one of the major important disease in current scenario. DNA microarrays turn out to be an effectual tool utilized in molecular biology and cancer diagnosis. Microarrays can be measured to establish the relative quantity of mRNAs in two or additional organic/biological tissue samples for thousands/several thousands of genes at the same time. As the superiority of this technique become exactly analysis/identifying the suitable assessment of microarray data in various open issues. In the field of medical sciences multi-category cancer classification play a major important role to classify the cancer types according to the gene expression. The need of the cancer classification has been become indispensible, because the numbers of cancer victims are increasing steadily identified by recent years. To perform this proposed a combination of Integer-Coded Genetic Algorithm (ICGA and Artificial Bee Colony algorithm (ABC, coupled with an Adaptive Extreme Learning Machine (AELM, is used for gene selection and cancer classification. ICGA is used with ABC based AELM classifier to chose an optimal set of genes which results in an efficient hybrid algorithm that can handle sparse data and sample imbalance. The

  1. Breast cancer and depression: issues in clinical care

    Directory of Open Access Journals (Sweden)

    Thingbaijam B. Singh

    2012-11-01

    Full Text Available Many of breast-cancer patients experience distress and most of them experience depression which may lead to amplification of physical symptoms, increased functional impairment, and poor treatment adherence. We did a review on available literature from PubMed about prevalence, distress magnitudes, coping styles, and treatment methods of major depression in women with breast cancer from 1978 to 2010. Diagnosis and treatment of depressive episodes in women with breast cancer is challenging because of overlapping symptoms and co-morbid conditions. Major depression is often under-recognized and undertreated among breast cancer patients. This review highlighted the issues on identifying and managing depression in breast cancer patients in clinical settings. (Med J Indones. 2012;21:240-6Keywords: Breast cancer, coping, depression, distress

  2. Vitamins and cancer prevention: issues and dilemmas.

    Science.gov (United States)

    Young, V R; Newberne, P M

    1981-03-01

    Vitamins are a class of organic compounds that are components of an adequate diet. They or their derivatives function as coenzymes, cellular antioxidants, and/or regulators of gene expression. Fourteen vitamins are recognized in human nutrition (Vitamins A, D, E, K, B1, B2, B6, B12, C, niacin, folacin, pantothenic acid, biotin, choline), with deficiencies or excesses in intake leading to changes in protein, nucleic acid, carbohydrates, fat and/or mineral metabolism. Thus, the integrity of physiological systems, including those associated with detoxification, cellular repair, immune processes, and neural and endocrine function, depends upon the nutritional and vitamin status of the host. For these reasons, it may be anticipated that the adequacy of the vitamin supply to cells and tissues would affect the development, progress, and outcome of cancers. In this review, the definition and functions of and requirements and recommended allowance for vitamins are discussed briefly before exploring the evidence, largely from studies in experimental animals, that indicates the nature of the link between vitamins and cancer. Although evidence based on studies in animal systems reveals that vitamin intake and status can modulate the outcome of experimental carcinogenesis, the findings are often conflicting and difficult to interpret. Furthermore, it is not yet possible to develop a suitable prediction of the role of the individual vitamins in tumor development. The significance of these observations for human nutrition and cancer prevention, particularly in reference to ascorbic acid (vitamin C), vitamin E, and B-complex vitamins is considered. Vitamin A and retinoid compounds are discussed elsewhere in the symposium. The many popular misconceptions and unsound advice concerning vitamins and health, including "fake" vitamins-pangamic acid ("vitamin B15") and laetrile ("vitamin B17")-are also discussed. On the basis of current evidence, it would be inappropriate to recommend

  3. Cancer screening in the United States, 2016: A review of current American Cancer Society guidelines and current issues in cancer screening.

    Science.gov (United States)

    Smith, Robert A; Andrews, Kimberly; Brooks, Durado; DeSantis, Carol E; Fedewa, Stacey A; Lortet-Tieulent, Joannie; Manassaram-Baptiste, Deana; Brawley, Otis W; Wender, Richard C

    2016-01-01

    Each year the American Cancer Society (ACS) publishes a summary of its guidelines for early cancer detection, data and trends in cancer screening rates, and select issues related to cancer screening. In this issue of the journal, we summarize current ACS cancer screening guidelines, including the update of the breast cancer screening guideline, discuss quality issues in colorectal cancer screening and new developments in lung cancer screening, and provide the latest data on utilization of cancer screening from the National Health Interview Survey.

  4. Infections in cancer patients: some controversial issues.

    Science.gov (United States)

    Schimpff, S C; Scott, D A; Wade, J C

    1994-03-01

    Despite more than two decades of clinical research into the management of infections in the neutropenic cancer patient, many patients still develop serious morbidity from infection and all too many still die. A number of controversies surround (a) the use of combination versus monotherapy for initial empiric administration; (b) the use of vancomycin as part of the initial regimen; (c) the origin of Staphylococcus epidermidis infections (i.e., mostly from vascular catheters or mostly from the alimentary canal); (d) the use of acyclovir for herpes simplex prophylaxis during remission induction for acute leukemia patients not undergoing bone marrow transplantation; (e) the use of alimentary canal microbial suppression or reverse isolation in a room with laminar air flow, or both, as infection prevention techniques. Current recommendations and observations include the following. (a) Monotherapy with ceftazidime or imipenem is effective and appropriate for patients with moderate granulocytopenia at limited risk for infection with a resistant organism. Combination therapy is recommended for patients with profound, persistent granulocytopenia who are at high risk for gram-negative bacteremia; such bacteremic patients have a better prognosis with combined-modality therapy. (b) Vancomycin need not be included in the initial regimen although some centers may choose to do so because of the high prevalence of gram-positive bacteremias. (c) Despite the ubiquitous presence of indwelling vascular catheters, most S. epidermidis infections among neutropenic patients originate from along the alimentary canal. (d) Herpes simplex infection is much more common following standard remission induction chemotherapy than previously recognized. Acyclovir will reduce these infections and concurrently probably reduce the likelihood of resultant bacterial/fungal co-infections and superinfections. (e) Selective microbial suppression is appropriate for patients expected to experience prolonged

  5. Histotype-based prognostic classification of gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Anna Maria Chiaravalli; Catherine Klersy; Alessandro Vanoli; Andrea Ferretti; Carlo Capella; Enrico Solcia

    2012-01-01

    AIM:To test the efficiency of a recently proposed histotype-based grading system in a consecutive series of gastric cancers.METHOIS:Two hundred advanced gastric cancers operated upon in 1980-1987 and followed for a median 159 mo were investigated on hematoxylin-eosinstained sections to identify low-grade [muconodular,well differentiated tubular,diffuse desmoplastic and high lymphoid response (HLR)],high-grade (anaplastic and mucinous invasive) and intermediate-grade (ordinarycohesive,diffuse and mucinous) cancers,in parallel with a previously investigated series of 292 cases.In addition,immunohistochemical analyses for CD8,CD11 and HLA-DR antigens,pancytokeratin and podoplanin,as well as immunohistochemical and molecular tests for microsatellite DNA instability and in situ hybridization for the Epstein-Barr virus (EBV) EBER1 gene were performed.Patient survival was assessed with death rates per 100 person-years and with Kaplan-Meier or Cox model estimates.RESULTS:Collectively,the four low-grade histotypes accounted for 22% and the two high-grade histotypes for 7% of the consecutive cancers investigated,while the remaining 71% of cases were intermediate-grade cancers,with highly significant,stage-independent,survival differences among the three tumor grades (P =0.004 for grade 1 vs 2 and P =0.0019 for grade 2 vs grade 3),thus confirming the results in the original series.A combined analysis of 492 cases showed an improved prognostic value of histotype-based grading compared with the Lauren classification.In addition,it allowed better characterization of rare histotypes,particularly the three subsets of prognostically different mucinous neoplasms,of which 10 ordinary mucinous cancers showed stage-inclusive survival worse than that of 20 muconodular (P =0.037) and better than that of 21 high-grade (P < 0.001) cases.Tumors with high-level microsatellite DNA instability(MSI-H) or EBV infection,together with a third subset negative for both conditions,formed the

  6. Preservation of function in genitourinary cancers: psychosexual and psychosocial issues.

    Science.gov (United States)

    Ofman, U S

    1995-01-01

    GU cancers are commonly associated with treatment-related sexual dysfunction, varying from mild to severe. For the clinical oncologist, it is important to be aware that sexual problems or sexual dysfunction may occur as a result of any aspect of cancer and cancer treatment. Sexual function is sensitive to the effects of trauma, both physical and emotional. This is particularly the case for patients whose cancer affects their genitals. Despite some commonalities of psychosocial and psychosexual issues in GU patients across diagnostic categories, GU patients do not present as one distinct, homogeneous group. GU neoplasms, with the exception of bladder cancer, affect mostly men. Men and women tend to differ in their ways of dealing with emotional distress and physical illness. While the man may typically do well using denial as a defense and may not want to discuss his feelings about his diagnosis and treatment, his partner may suffer if her way of coping is oriented toward communicating thoughts and feelings about the situation. Another important difference in this population is related to age and developmental differences. Testicular cancer typically is diagnosed in young men between the ages of 15 and 34 (46). The patients often still live with their parents or have just formed families of their own. In contrast, prostate cancer is diagnosed in older men, who are at a completely different stage in their lives when they have to deal with this challenge. Developmental stage at the time of diagnosis and treatment is an important variable in adaptation to cancer (47). Since GU malignancies and their treatments directly or indirectly affect sexual organs and sexual functioning, issues of sexual body image and identity as men or women are frequent concerns for GU patients. This is most obviously the case for men facing penectomy or orchiectomy. Similarly, women undergoing cystectomy with its simultaneous removal of uterus, ovaries, and parts of the vaginal wall face

  7. Comparing two classifications of cancer cachexia and their association with survival in patients with unresected pancreatic cancer.

    Science.gov (United States)

    Wesseltoft-Rao, Nima; Hjermstad, Marianne J; Ikdahl, Tone; Dajani, Olav; Ulven, Stine M; Iversen, Per Ole; Bye, Asta

    2015-01-01

    There is no universally accepted definition of cancer cachexia. Two classifications have been proposed; the 3-factor classification requiring ≥ 2 of 3 factors; weight loss ≥ 10%, food intake ≤ 1500 kcal/day, and C-reactive protein ≥ 10 mg/l, and the consensus classification requiring weight loss >5% the past 6 mo, or body mass index 2%. Precachexia is the initial stage of the cachexia trajectory, identified by weight loss ≤ 5%, anorexia and metabolic change. We examined the consistency between the 2 classifications, and their association with survival in a palliative cohort of 45 (25 men, median age of 72 yr, range 35-89) unresected pancreatic cancer patients. Computed tomography images were used to determine sarcopenia. Height/weight/C-reactive protein and survival were extracted from medical records. Food intake was self-reported. The agreement for cachexia and noncachexia was 78% across classifications. Survival was poorer in cachexia compared to noncachexia (3-factor classification, P = 0.0052; consensus classification, P = 0.056; when precachexia was included in the consensus classification, P = 0.027). Both classifications showed a trend toward lower median survival (P cachexia. In conclusion, the two classifications showed good overall agreement in defining cachectic pancreatic cancer patients, and cachexia was associated with poorer survival according to both.

  8. Key issues in automatic classification of defects in post-inspection review process of photomasks

    Science.gov (United States)

    Pereira, Mark; Maji, Manabendra; Pai, Ravi R.; B. V. R., Samir; Seshadri, R.; Patil, Pradeepkumar

    2012-11-01

    The mask inspection and defect classification is a crucial part of mask preparation technology and consumes a significant amount of mask preparation time. As the patterns on a mask become smaller and more complex, the need for a highly precise mask inspection system with high detection sensitivity becomes greater. However, due to the high sensitivity, in addition to the detection of smaller defects on finer geometries, the inspection machine could report large number of false defects. The total number of defects becomes significantly high and the manual classification of these defects, where the operator should review each of the defects and classify them, may take huge amount of time. Apart from false defects, many of the very small real defects may not print on the wafer and user needs to spend time on classifying them as well. Also, sometimes, manual classification done by different operators may not be consistent. So, need for an automatic, consistent and fast classification tool becomes more acute in more advanced nodes. Automatic Defect Classification tool (NxADC) which is in advanced stage of development as part of NxDAT1, can automatically classify defects accurately and consistently in very less amount of time, compared to a human operator. Amongst the prospective defects as detected by the Mask Inspection System, NxADC identifies several types of false defects such as false defects due to registration error, false defects due to problems with CCD, noise, etc. It is also able to automatically classify real defects such as, pin-dot, pin-hole, clear extension, multiple-edges opaque, missing chrome, chrome-over-MoSi, etc. We faced a large set of algorithmic challenges during the course of the development of our NxADC tool. These include selecting the appropriate image alignment algorithm to detect registration errors (especially when there are sub-pixel registration errors or misalignment in repetitive patterns such as line space), differentiating noise from

  9. Classification of Cancer Gene Selection Using Random Forest and Neural Network Based Ensemble Classifier

    Directory of Open Access Journals (Sweden)

    Jogendra Kushwah

    2013-06-01

    Full Text Available The free radical gene classification of cancer diseases is challenging job in biomedical data engineering. The improving of classification of gene selection of cancer diseases various classifier are used, but the classification of classifier are not validate. So ensemble classifier is used for cancer gene classification using neural network classifier with random forest tree. The random forest tree is ensembling technique of classifier in this technique the number of classifier ensemble of their leaf node of class of classifier. In this paper we combined neural network with random forest ensemble classifier for classification of cancer gene selection for diagnose analysis of cancer diseases. The proposed method is different from most of the methods of ensemble classifier, which follow an input output paradigm of neural network, where the members of the ensemble are selected from a set of neural network classifier. the number of classifiers is determined during the rising procedure of the forest. Furthermore, the proposed method produces an ensemble not only correct, but also assorted, ensuring the two important properties that should characterize an ensemble classifier. For empirical evaluation of our proposed method we used UCI cancer diseases data set for classification. Our experimental result shows that better result in compression of random forest tree classification.

  10. ENRICH Forum: Ethical aNd Regulatory Issues in Cancer ResearcH

    Science.gov (United States)

    ENRICH Forum: Ethical aNd Regulatory Issues in Cancer ResearcH, designed to stimulate dialogue on ethical and regulatory issues in cancer research and promote awareness of developing policies and best practices.

  11. Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts.

    Science.gov (United States)

    Dashtban, M; Balafar, Mohammadali

    2017-03-01

    Gene selection is a demanding task for microarray data analysis. The diverse complexity of different cancers makes this issue still challenging. In this study, a novel evolutionary method based on genetic algorithms and artificial intelligence is proposed to identify predictive genes for cancer classification. A filter method was first applied to reduce the dimensionality of feature space followed by employing an integer-coded genetic algorithm with dynamic-length genotype, intelligent parameter settings, and modified operators. The algorithmic behaviors including convergence trends, mutation and crossover rate changes, and running time were studied, conceptually discussed, and shown to be coherent with literature findings. Two well-known filter methods, Laplacian and Fisher score, were examined considering similarities, the quality of selected genes, and their influences on the evolutionary approach. Several statistical tests concerning choice of classifier, choice of dataset, and choice of filter method were performed, and they revealed some significant differences between the performance of different classifiers and filter methods over datasets. The proposed method was benchmarked upon five popular high-dimensional cancer datasets; for each, top explored genes were reported. Comparing the experimental results with several state-of-the-art methods revealed that the proposed method outperforms previous methods in DLBCL dataset.

  12. Identifying Cancer Biomarkers Via Node Classification within a Mapreduce Framework

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    Taysir Hassan A. Soliman

    2015-12-01

    Full Text Available Big data are giving new research challenges in the life sciences domain because of their variety, volume, veracity, velocity, and value. Predicting gene biomarkers is one of the vital research issues in bioinformatics field, where microarray gene expression and network based methods can be used. These datasets suffer from the huge data voluminous, causing main memory problems. In this paper, a Random Committee Node Classifier algorithm (RCNC is proposed for identifying cancer biomarkers, which is based on microarray gene expression data and Protein-Protein Interaction (PPI data. Data are enriched from other public databases, such as IntACT1 and UniProt2 and Gene Ontology3 (GO. Cancer Biomarkers are identified when applied to different datasets with an accuracy rate an accuracy rate 99.16%, 99.96% precision, 99.24% recall, 99.16% F1-measure and 99.6 ROC. To speed up the performance, it is run within a MapReduce framework, where RCNC MapReduce algorithm is much faster than RCNC sequential algorithm when having large datasets.

  13. Classification of skin cancer images using local binary pattern and SVM classifier

    Science.gov (United States)

    Adjed, Faouzi; Faye, Ibrahima; Ababsa, Fakhreddine; Gardezi, Syed Jamal; Dass, Sarat Chandra

    2016-11-01

    In this paper, a classification method for melanoma and non-melanoma skin cancer images has been presented using the local binary patterns (LBP). The LBP computes the local texture information from the skin cancer images, which is later used to compute some statistical features that have capability to discriminate the melanoma and non-melanoma skin tissues. Support vector machine (SVM) is applied on the feature matrix for classification into two skin image classes (malignant and benign). The method achieves good classification accuracy of 76.1% with sensitivity of 75.6% and specificity of 76.7%.

  14. Classification

    Science.gov (United States)

    Clary, Renee; Wandersee, James

    2013-01-01

    In this article, Renee Clary and James Wandersee describe the beginnings of "Classification," which lies at the very heart of science and depends upon pattern recognition. Clary and Wandersee approach patterns by first telling the story of the "Linnaean classification system," introduced by Carl Linnacus (1707-1778), who is…

  15. Nanomaterials for environmental studies: classification, reference material issues, and strategies for physico-chemical characterisation.

    Science.gov (United States)

    Stone, Vicki; Nowack, Bernd; Baun, Anders; van den Brink, Nico; Kammer, Frank von der; Dusinska, Maria; Handy, Richard; Hankin, Steven; Hassellöv, Martin; Joner, Erik; Fernandes, Teresa F

    2010-03-01

    NanoImpactNet is a European Commission Framework Programme 7 (FP7) funded project that provides a forum for the discussion of current opinions on nanomaterials in relation to human and environmental issues. In September 2008, in Zurich, a NanoImpactNet environmental workshop focused on three key questions: 1. What properties should be characterised for nanomaterials used in environmental and ecotoxicology studies? 2. What reference materials should be developed for use in environmental and ecotoxicological studies? 3. Is it possible to group different nanomaterials into categories for consideration in environmental studies? Such questions have been, at least partially, addressed by other projects/workshops especially in relation to human health effects. Such projects provide a useful basis on which this workshop was based, but in this particular case these questions were reformulated in order to focus specifically on environmental studies. The workshop participants, through a series of discussion and reflection sessions, generated the conclusions listed below. The physicochemical characterisation information identified as important for environmental studies included measures of aggregation/agglomeration/dispersability, size, dissolution (solubility), surface area, surface charge, surface chemistry/composition, with the assumption that chemical composition would already be known. There is a need to have test materials for ecotoxicology, and several substances are potentially useful, including TiO(2) nanoparticles, polystyrene beads labelled with fluorescent dyes, and silver nanoparticles. Some of these test materials could then be developed into certified reference materials over time. No clear consensus was reached regarding the classification of nanomaterials into categories to aid environmental studies, except that a chemistry-based classification system was a reasonable starting point, with some modifications. It was suggested, that additional work may be

  16. Breast Cancer Classification From Histological Images with Multiple Features and Random Subspace Classifier Ensemble

    Science.gov (United States)

    Zhang, Yungang; Zhang, Bailing; Lu, Wenjin

    2011-06-01

    Histological image is important for diagnosis of breast cancer. In this paper, we present a novel automatic breaset cancer classification scheme based on histological images. The image features are extracted using the Curvelet Transform, statistics of Gray Level Co-occurence Matrix (GLCM) and Completed Local Binary Patterns (CLBP), respectively. The three different features are combined together and used for classification. A classifier ensemble approach, called Random Subspace Ensemble (RSE), are used to select and aggregate a set of base neural network classifiers for classification. The proposed multiple features and random subspace ensemble offer the classification rate 95.22% on a publically available breast cancer image dataset, which compares favorably with the previously published result 93.4%.

  17. Methodological Aspects of Prognostic Classifications: Applications in Testicular Cancer

    NARCIS (Netherlands)

    M.R. van Dijk (Merel)

    2007-01-01

    textabstractPatients with similar characteristics can be grouped together in a prognostic classification to estimate a patient’s prognosis and guide treatment decisions. The topic of this thesis is methodological aspects of defining prognosis classifications. We specifically looked at patients wi

  18. Automated classification of histopathology images of prostate cancer using a Bag-of-Words approach

    Science.gov (United States)

    Sanghavi, Foram M.; Agaian, Sos S.

    2016-05-01

    The goals of this paper are (1) test the Computer Aided Classification of the prostate cancer histopathology images based on the Bag-of-Words (BoW) approach (2) evaluate the performance of the classification grade 3 and 4 of the proposed method using the results of the approach proposed by the authors Khurd et al. in [9] and (3) classify the different grades of cancer namely, grade 0, 3, 4, and 5 using the proposed approach. The system performance is assessed using 132 prostate cancer histopathology of different grades. The system performance of the SURF features are also analyzed by comparing the results with SIFT features using different cluster sizes. The results show 90.15% accuracy in detection of prostate cancer images using SURF features with 75 clusters for k-mean clustering. The results showed higher sensitivity for SURF based BoW classification compared to SIFT based BoW.

  19. Evolving Cancer Classification in the Era of Personalized Medicine: A Primer for Radiologists

    Science.gov (United States)

    Jagannathan, Jyothi P.; Ramaiya, Nikhil H.

    2017-01-01

    Traditionally tumors were classified based on anatomic location but now specific genetic mutations in cancers are leading to treatment of tumors with molecular targeted therapies. This has led to a paradigm shift in the classification and treatment of cancer. Tumors treated with molecular targeted therapies often show morphological changes rather than change in size and are associated with class specific and drug specific toxicities, different from those encountered with conventional chemotherapeutic agents. It is important for the radiologists to be familiar with the new cancer classification and the various treatment strategies employed, in order to effectively communicate and participate in the multi-disciplinary care. In this paper we will focus on lung cancer as a prototype of the new molecular classification.

  20. Development of Assistive Robots Using International Classification of Functioning, Disability, and Health: Concept, Applications, and Issues

    Directory of Open Access Journals (Sweden)

    Hideyuki Tanaka

    2013-01-01

    Full Text Available Many assistive robots for elderly and disabled people have been developed in the past few decades. However, very few of them became commercially available. The major cause of the problem is that the cost-benefit ratio and the risk-benefit ratio of them are not good or not known. The evaluation of them should be done in the light of the impacts of assistive technologies on users’ whole life, both in short-term and long-term. In this paper, we propose a framework of evaluation and design of assistive robots using ICF (International Classification of Functioning, Disability, and Health. The goal of the framework is the realization of the life design and the improvement of the quality of life using assistive technologies. We describe the concept of utilizing ICF in the development process of assistive robots, and demonstrate its utility by using some examples of practical application such as the analysis of daily living, the design of assistive robots and the evaluation of assistive robots. We also show the issues of using ICF for further development of the framework.

  1. Classification of Cancer Gene Selection Using Random Forest and Neural Network Based Ensemble Classifier

    Directory of Open Access Journals (Sweden)

    Jogendra Kushwah

    2013-06-01

    Full Text Available The free radical gene classification of cancerdiseasesis challenging job in biomedical dataengineering. The improving of classification of geneselection of cancer diseases various classifier areused, but the classification of classifier are notvalidate. So ensemble classifier is used for cancergene classification using neural network classifierwith random forest tree. The random forest tree isensembling technique of classifier in this techniquethe number of classifier ensemble of their leaf nodeof class of classifier. In this paper we combinedneuralnetwork with random forest ensembleclassifier for classification of cancer gene selectionfor diagnose analysis of cancer diseases.Theproposed method is different from most of themethods of ensemble classifier, which follow aninput output paradigm ofneural network, where themembers of the ensemble are selected from a set ofneural network classifier. the number of classifiersis determined during the rising procedure of theforest. Furthermore, the proposed method producesan ensemble not only correct, but also assorted,ensuring the two important properties that shouldcharacterize an ensemble classifier. For empiricalevaluation of our proposed method we used UCIcancer diseases data set for classification. Ourexperimental result shows that betterresult incompression of random forest tree classification

  2. Biology of cancer: current issues and future prospects.

    Science.gov (United States)

    Jenkins, J

    1992-02-01

    The future of cancer treatment is limited only by the rate of progress made in understanding the biology of cancer. The future will present a considerable challenge to health care professionals to learn new theories, understand new terms, and expect different toxicities. The explosion of information and technology is exciting, yet frightening. The willingness of scientists, health care professionals, and consumers to deal with the ethical, financial, and political issues generated by this progress is gratifying. Because science has created such advances, the effort to deal with the outcomes is worthwhile but still difficult. The challenge to rapidly facilitate the sharing of the scientific and clinical advances has been recognized by the nation. A legislative mandate to create a way to store and analyze the vast data related to molecular biology, biochemistry, and genetics resulted in the National Center for Biotechnology Information. The development of automated systems to analyze genetic, environmental, biological, and chemistry information can only enhance future progress in the management of cancer.

  3. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin

    DEFF Research Database (Denmark)

    Hoadley, Katherine A; Yau, Christina; Wolf, Denise M

    2014-01-01

    Recent genomic analyses of pathologically defined tumor types identify "within-a-tissue" disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform...... on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head and neck, and a subset...... of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multiplatform classification, while correlated with tissue-of-origin, provides...

  4. Mastectomy or breast conserving surgery? Factors affecting type of surgical treatment for breast cancer – a classification tree approach

    Directory of Open Access Journals (Sweden)

    O'Neill Terry

    2006-04-01

    Full Text Available Abstract Background A critical choice facing breast cancer patients is which surgical treatment – mastectomy or breast conserving surgery (BCS – is most appropriate. Several studies have investigated factors that impact the type of surgery chosen, identifying features such as place of residence, age at diagnosis, tumor size, socio-economic and racial/ethnic elements as relevant. Such assessment of "propensity" is important in understanding issues such as a reported under-utilisation of BCS among women for whom such treatment was not contraindicated. Using Western Australian (WA data, we further examine the factors associated with the type of surgical treatment for breast cancer using a classification tree approach. This approach deals naturally with complicated interactions between factors, and so allows flexible and interpretable models for treatment choice to be built that add to the current understanding of this complex decision process. Methods Data was extracted from the WA Cancer Registry on women diagnosed with breast cancer in WA from 1990 to 2000. Subjects' treatment preferences were predicted from covariates using both classification trees and logistic regression. Results Tumor size was the primary determinant of patient choice, subjects with tumors smaller than 20 mm in diameter preferring BCS. For subjects with tumors greater than 20 mm in diameter factors such as patient age, nodal status, and tumor histology become relevant as predictors of patient choice. Conclusion Classification trees perform as well as logistic regression for predicting patient choice, but are much easier to interpret for clinical use. The selected tree can inform clinicians' advice to patients.

  5. Cuckoo search optimisation for feature selection in cancer classification: a new approach.

    Science.gov (United States)

    Gunavathi, C; Premalatha, K

    2015-01-01

    Cuckoo Search (CS) optimisation algorithm is used for feature selection in cancer classification using microarray gene expression data. Since the gene expression data has thousands of genes and a small number of samples, feature selection methods can be used for the selection of informative genes to improve the classification accuracy. Initially, the genes are ranked based on T-statistics, Signal-to-Noise Ratio (SNR) and F-statistics values. The CS is used to find the informative genes from the top-m ranked genes. The classification accuracy of k-Nearest Neighbour (kNN) technique is used as the fitness function for CS. The proposed method is experimented and analysed with ten different cancer gene expression datasets. The results show that the CS gives 100% average accuracy for DLBCL Harvard, Lung Michigan, Ovarian Cancer, AML-ALL and Lung Harvard2 datasets and it outperforms the existing techniques in DLBCL outcome and prostate datasets.

  6. Time issues in multilevel interventions for cancer treatment and prevention.

    Science.gov (United States)

    Alexander, Jeffrey; Prabhu Das, Irene; Johnson, Timothy P

    2012-05-01

    The concept of time introduces important complexities in estimating intervention effects, program and evaluation design, and measurement and analysis of individual change in multilevel interventions (MLIs). Despite growing recognition that time is a critical element for assessing both individual-level outcomes and higher-level changes in organizational, community, and policy contexts, most MLI designs and evaluations have not addressed these issues. In this chapter we discuss 1) conceptualizing disease life-course and treatment theory in MLIs, 2) approaches to incorporating time in research and program design for MLIs in cancer treatment and prevention, 3) analysis of time-varying multilevel data in the context of cancer treatment and prevention, and 4) resource considerations and trade-offs of incorporating time as a dimension of MLIs and analysis. Although analytic techniques for analyzing time-related phenomena are becoming more available and powerful, there has not been corresponding progress made in the development of theory to guide the application of these techniques in program design and implementation.

  7. Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging

    Science.gov (United States)

    Chung, Hyunkoo; Lu, Guolan; Tian, Zhiqiang; Wang, Dongsheng; Chen, Zhuo Georgia; Fei, Baowei

    2016-03-01

    Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications. HSI acquires two dimensional images at various wavelengths. The combination of both spectral and spatial information provides quantitative information for cancer detection and diagnosis. This paper proposes using superpixels, principal component analysis (PCA), and support vector machine (SVM) to distinguish regions of tumor from healthy tissue. The classification method uses 2 principal components decomposed from hyperspectral images and obtains an average sensitivity of 93% and an average specificity of 85% for 11 mice. The hyperspectral imaging technology and classification method can have various applications in cancer research and management.

  8. Which is the most suitable classification for colorectal cancer, log odds, the number or the ratio of positive lymph nodes?

    Directory of Open Access Journals (Sweden)

    Yong-Xi Song

    Full Text Available OBJECTIVE: The aim of the current study was to investigate which is the most suitable classification for colorectal cancer, log odds of positive lymph nodes (LODDS classification or the classifications based on the number of positive lymph nodes (pN and positive lymph node ratio(LNR in a Chinese single institutional population. DESIGN: Clinicopathologic and prognostic data of 1297 patients with colorectal cancer were retrospectively studied. The log-rank statistics, Cox's proportional hazards model, the Nagelkerke R(2 index and a Harrell's C statistic were used. RESULTS: Univariate and three-step multivariate analyses identified that LNR was a significant prognostic factor and LNR classification was superior to both the pN and LODDS classifications. Moreover, the results of the Nagelkerke R(2 index (0.130 and a Harrell's C statistic (0.707 of LNR showed that LNR and LODDS classifications were similar and LNR was a little better than the other two classifications. Furthermore, for patients in each LNR classification, prognosis was homologous between those in different pN or LODDS classifications. However, for patients in pN1a, pN1b, LODDS2 and LODDS3 classifications, significant differences in survival were observed among patients in different LNR classifications. CONCLUSIONS: For patients with colorectal cancer, the LNR classification is more suitable than pN and LODDS classifications for prognostic assessment in a Chinese single institutional population.

  9. Classification of treatment-related mortality in children with cancer

    DEFF Research Database (Denmark)

    Alexander, Sarah; Pole, Jason D; Gibson, Paul;

    2015-01-01

    Treatment-related mortality is an important outcome in paediatric cancer clinical trials. An international group of experts in supportive care in paediatric cancer developed a consensus-based definition of treatment-related mortality and a cause-of-death attribution system. The reliability and va...

  10. Hybrid SPR algorithm to select predictive genes for effectual cancer classification

    OpenAIRE

    2012-01-01

    Designing an automated system for classifying DNA microarray data is an extremely challenging problem because of its high dimension and low amount of sample data. In this paper, a hybrid statistical pattern recognition algorithm is proposed to reduce the dimensionality and select the predictive genes for the classification of cancer. Colon cancer gene expression profiles having 62 samples of 2000 genes were used for the experiment. A gene subset of 6 highly informative genes was selecte...

  11. Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI

    Energy Technology Data Exchange (ETDEWEB)

    Dikaios, Nikolaos; Halligan, Steve; Taylor, Stuart; Atkinson, David; Punwani, Shonit [University College London, Centre for Medical Imaging, London (United Kingdom); University College London Hospital, Departments of Radiology, London (United Kingdom); Alkalbani, Jokha; Sidhu, Harbir Singh [University College London, Centre for Medical Imaging, London (United Kingdom); Abd-Alazeez, Mohamed; Ahmed, Hashim U.; Emberton, Mark [University College London, Research Department of Urology, Division of Surgery and Interventional Science, London (United Kingdom); Kirkham, Alex [University College London Hospital, Departments of Radiology, London (United Kingdom); Freeman, Alex [University College London Hospital, Department of Histopathology, London (United Kingdom)

    2015-09-15

    To assess the interchangeability of zone-specific (peripheral-zone (PZ) and transition-zone (TZ)) multiparametric-MRI (mp-MRI) logistic-regression (LR) models for classification of prostate cancer. Two hundred and thirty-one patients (70 TZ training-cohort; 76 PZ training-cohort; 85 TZ temporal validation-cohort) underwent mp-MRI and transperineal-template-prostate-mapping biopsy. PZ and TZ uni/multi-variate mp-MRI LR-models for classification of significant cancer (any cancer-core-length (CCL) with Gleason > 3 + 3 or any grade with CCL ≥ 4 mm) were derived from the respective cohorts and validated within the same zone by leave-one-out analysis. Inter-zonal performance was tested by applying TZ models to the PZ training-cohort and vice-versa. Classification performance of TZ models for TZ cancer was further assessed in the TZ validation-cohort. ROC area-under-curve (ROC-AUC) analysis was used to compare models. The univariate parameters with the best classification performance were the normalised T2 signal (T2nSI) within the TZ (ROC-AUC = 0.77) and normalized early contrast-enhanced T1 signal (DCE-nSI) within the PZ (ROC-AUC = 0.79). Performance was not significantly improved by bi-variate/tri-variate modelling. PZ models that contained DCE-nSI performed poorly in classification of TZ cancer. The TZ model based solely on maximum-enhancement poorly classified PZ cancer. LR-models dependent on DCE-MRI parameters alone are not interchangeable between prostatic zones; however, models based exclusively on T2 and/or ADC are more robust for inter-zonal application. (orig.)

  12. Cancer screening in the United States, 2013: a review of current American Cancer Society guidelines, current issues in cancer screening, and new guidance on cervical cancer screening and lung cancer screening.

    Science.gov (United States)

    Smith, Robert A; Brooks, Durado; Cokkinides, Vilma; Saslow, Debbie; Brawley, Otis W

    2013-01-01

    Each year the American Cancer Society (ACS) publishes a summary of its recommendations for early cancer detection, a report on data and trends in cancer screening rates, and select issues related to cancer screening. In this issue of the journal, current ACS cancer screening guidelines are summarized, as are updated guidelines on cervical cancer screening and lung cancer screening with low-dose helical computed tomography. The latest data on the use of cancer screening from the National Health Interview Survey also are described, as are several issues related to screening coverage under the Patient Protection and Affordable Care Act of 2010.

  13. Semi-Supervised Projective Non-Negative Matrix Factorization for Cancer Classification.

    Directory of Open Access Journals (Sweden)

    Xiang Zhang

    Full Text Available Advances in DNA microarray technologies have made gene expression profiles a significant candidate in identifying different types of cancers. Traditional learning-based cancer identification methods utilize labeled samples to train a classifier, but they are inconvenient for practical application because labels are quite expensive in the clinical cancer research community. This paper proposes a semi-supervised projective non-negative matrix factorization method (Semi-PNMF to learn an effective classifier from both labeled and unlabeled samples, thus boosting subsequent cancer classification performance. In particular, Semi-PNMF jointly learns a non-negative subspace from concatenated labeled and unlabeled samples and indicates classes by the positions of the maximum entries of their coefficients. Because Semi-PNMF incorporates statistical information from the large volume of unlabeled samples in the learned subspace, it can learn more representative subspaces and boost classification performance. We developed a multiplicative update rule (MUR to optimize Semi-PNMF and proved its convergence. The experimental results of cancer classification for two multiclass cancer gene expression profile datasets show that Semi-PNMF outperforms the representative methods.

  14. Cancer screening in the United States, 2015: a review of current American cancer society guidelines and current issues in cancer screening.

    Science.gov (United States)

    Smith, Robert A; Manassaram-Baptiste, Deana; Brooks, Durado; Doroshenk, Mary; Fedewa, Stacey; Saslow, Debbie; Brawley, Otis W; Wender, Richard

    2015-01-01

    Each year, the American Cancer Society (ACS) publishes a summary of its guidelines for early cancer detection along with a report on data and trends in cancer screening rates and select issues related to cancer screening. In this issue of the journal, we summarize current ACS cancer screening guidelines. The latest data on utilization of cancer screening from the National Health Interview Survey (NHIS) also is described, as are several issues related to screening coverage under the Affordable Care Act, including the expansion of the Medicaid program.

  15. Appraisal of progenitor markers in the context of molecular classification of breast cancers.

    Science.gov (United States)

    Haviv, Izhak

    2011-01-25

    Clinical management of breast cancer relies on case stratification, which increasingly employs molecular markers. The motivation behind delineating breast epithelial differentiation is to better target cancer cases through innate sensitivities bequeathed to the cancer from its normal progenitor state. A combination of histopathological and molecular classification of breast cancer cases suggests a role for progenitors in particular breast cancer cases. Although a remarkable fraction of the real tissue repertoire is maintained within a population of independent cell line cultures, some steps that are closer to the terminal differentiation state and that form a majority of primary human breast tissues are missing in the cell line cultures. This raises concerns about current breast cancer models.

  16. Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data

    Directory of Open Access Journals (Sweden)

    He Miao

    2009-12-01

    Full Text Available Abstract Background More studies based on gene expression data have been reported in great detail, however, one major challenge for the methodologists is the choice of classification methods. The main purpose of this research was to compare the performance of linear discriminant analysis (LDA and its modification methods for the classification of cancer based on gene expression data. Methods The classification performance of linear discriminant analysis (LDA and its modification methods was evaluated by applying these methods to six public cancer gene expression datasets. These methods included linear discriminant analysis (LDA, prediction analysis for microarrays (PAM, shrinkage centroid regularized discriminant analysis (SCRDA, shrinkage linear discriminant analysis (SLDA and shrinkage diagonal discriminant analysis (SDDA. The procedures were performed by software R 2.80. Results PAM picked out fewer feature genes than other methods from most datasets except from Brain dataset. For the two methods of shrinkage discriminant analysis, SLDA selected more genes than SDDA from most datasets except from 2-class lung cancer dataset. When comparing SLDA with SCRDA, SLDA selected more genes than SCRDA from 2-class lung cancer, SRBCT and Brain dataset, the result was opposite for the rest datasets. The average test error of LDA modification methods was lower than LDA method. Conclusions The classification performance of LDA modification methods was superior to that of traditional LDA with respect to the average error and there was no significant difference between theses modification methods.

  17. Early Detection and Classification of Melanoma Skin Cancer

    Directory of Open Access Journals (Sweden)

    Abbas Hanon. Alasadi

    2015-10-01

    Full Text Available Melanoma is a form of cancer that begins in melanocytes (cells that make the pigment melanin. It can affect the skin only, or it may spread to the organs and bones. It is less common, but more serious and aggressive than other types of skin cancer. Melanoma can be of benign or malignant. Malignant melanoma is the dangerous condition, while benign is not. In order to reduce the death rate due to malignant melanoma skin cancer, it is necessary to diagnose it at an early stage. In this paper, a detection system has been designed for diagnosing melanoma in early stages by using digital image processing techniques. The system consists of two phases: the first phase detects whether the pigmented skin lesion is malignant or benign; the second phase recognizes malignant melanoma skin cancer types. Both first and second phases have several stages. The experimental results are acceptable.

  18. High dimensional multiclass classification with applications to cancer diagnosis

    DEFF Research Database (Denmark)

    Vincent, Martin

    Probabilistic classifiers are introduced and it is shown that the only regular linear probabilistic classifier with convex risk is multinomial regression. Penalized empirical risk minimization is introduced and used to construct supervised learning methods for probabilistic classifiers. A sparse...... and a simulation based domain adaption strategy is presented. It is shown that the presented computational contamination approach drastically improves the primary tumor site classification of lever contaminated biopsies of metastases. A final classifier for identification of the primary tumor site is developed...

  19. Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes

    Directory of Open Access Journals (Sweden)

    Eils Roland

    2005-11-01

    Full Text Available Abstract Background The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer studies. Although similar questions for the same type of cancer are addressed in these different studies, a comparative analysis of their results is hampered by the use of heterogeneous microarray platforms and analysis methods. Results In contrast to a meta-analysis approach where results of different studies are combined on an interpretative level, we investigate here how to directly integrate raw microarray data from different studies for the purpose of supervised classification analysis. We use median rank scores and quantile discretization to derive numerically comparable measures of gene expression from different platforms. These transformed data are then used for training of classifiers based on support vector machines. We apply this approach to six publicly available cancer microarray gene expression data sets, which consist of three pairs of studies, each examining the same type of cancer, i.e. breast cancer, prostate cancer or acute myeloid leukemia. For each pair, one study was performed by means of cDNA microarrays and the other by means of oligonucleotide microarrays. In each pair, high classification accuracies (> 85% were achieved with training and testing on data instances randomly chosen from both data sets in a cross-validation analysis. To exemplify the potential of this cross-platform classification analysis, we use two leukemia microarray data sets to show that important genes with regard to the biology of leukemia are selected in an integrated analysis, which are missed in either single-set analysis. Conclusion Cross-platform classification of multiple cancer microarray data sets yields discriminative gene expression signatures that are found and validated on a large number of microarray samples, generated by different laboratories and

  20. A review on ultrasound-based thyroid cancer tissue characterization and automated classification.

    Science.gov (United States)

    Acharya, U R; Swapna, G; Sree, S V; Molinari, F; Gupta, S; Bardales, R H; Witkowska, A; Suri, J S

    2014-08-01

    In this paper, we review the different studies that developed Computer Aided Diagnostic (CAD) for automated classification of thyroid cancer into benign and malignant types. Specifically, we discuss the different types of features that are used to study and analyze the differences between benign and malignant thyroid nodules. These features can be broadly categorized into (a) the sonographic features from the ultrasound images, and (b) the non-clinical features extracted from the ultrasound images using statistical and data mining techniques. We also present a brief description of the commonly used classifiers in ultrasound based CAD systems. We then review the studies that used features based on the ultrasound images for thyroid nodule classification and highlight the limitations of such studies. We also discuss and review the techniques used in studies that used the non-clinical features for thyroid nodule classification and report the classification accuracies obtained in these studies.

  1. Isoflavones and Prostate Cancer: A Review of Some Critical Issues

    Institute of Scientific and Technical Information of China (English)

    Hong-Yi Zhang; Jie Cui; Ye Zhang; Zhen-Long Wang; Tie Chong; Zi-Ming Wang

    2016-01-01

    Objective: The purpose of this review is to discuss some critical issues of isoflavones protective against the development of prostate cancer (PCa).Data Sources: Data cited in this review were obtained primarily from PubMed and Embase from 1975 to 2015.Study Selection: Articles were selected with the search terms "isoflavone", "Phytoestrogen", "soy", "genistin", and "PCa".Results: Isoflavones do not play an important role on prostate-specific antigen levels reduction in PCa patients or healthy men.The effect ofisoflavones on sex hormone levels and PCa risk may be determined by equol converting bacteria in the intestine, specific polymorphic variation and concentrations of isoflavones.The intake of various types of phytoestrogens with lower concentrations in the daily diet may produce synergistic effects against PCa.Moreover, prostate tissue may concentrate isoflavones to potentially anti-carcinogenic levels.In addition, it is noteworthy that isoflavones may act as an agonist in PCa.Conclusions: Isoflavones play a protective role against the development of PCa.However, careful consideration should be given when isoflavones are used in the prevention and treatment of PCa.

  2. A Hybrid Reduction Approach for Enhancing Cancer Classification of Microarray Data

    Directory of Open Access Journals (Sweden)

    Abeer M. Mahmoud

    2014-10-01

    Full Text Available This paper presents a novel hybrid machine learning (MLreduction approach to enhance cancer classification accuracy of microarray data based on two ML gene ranking techniques (T-test and Class Separability (CS. The proposed approach is integrated with two ML classifiers; K-nearest neighbor (KNN and support vector machine (SVM; for mining microarray gene expression profiles. Four public cancer microarray databases are used for evaluating the proposed approach and successfully accomplish the mining process. These are Lymphoma, Leukemia SRBCT, and Lung Cancer. The strategy to select genes only from the training samples and totally excluding the testing samples from the classifier building process is utilized for more accurate and validated results. Also, the computational experiments are illustrated in details and comprehensively presented with literature related results. The results showed that the proposed reduction approach reached promising results of the number of genes supplemented to the classifiers as well as the classification accuracy.

  3. Children's Anxiety and Phobic Disorders in School Settings: Classification, Assessment, and Intervention Issues.

    Science.gov (United States)

    King, Neville J.; Ollendick, Thomas H.

    1989-01-01

    Basic features and methodological requirements of a cognitive-behavioral perspective on childhood anxieties and phobias and their social and academic implications are discussed. Topics addressed include disorder classification, multimethod problem solving, data collection treatment techniques, and the role of teachers. (TJH)

  4. Update on epidemiology classification, and management of thyroid cancer

    Directory of Open Access Journals (Sweden)

    Heitham Gheriani

    2006-06-01

    Full Text Available Thyroid cancer represents approximately 0.5–1% of all human malignancy1. In the UK the incidence of thyroid cancer is 2-3 per 100,000 populations 2. In geographical areas of low iodine intake and in areas exposed to nuclear disasters the incidence of thyroid cancer is higher. Benign thyroid conditions are much more common. In the UK approximately 8 % of the population have nodular thyroid disease2. Nodular thyroid disease increases with age and is also more common in females and in geographical areas of low iodine intake. Primary thyroid malignancy can be broadly divided into 2 groups. The first group, which generally have much better prognosis, are the well-differentiated thyroid carcinoma, which includes papillary carcinoma, follicular carcinoma and Hürthle cell tumours. The second group includes the poorly differentiated thyroid carcinoma like medullary thyroid carcinoma and the anaplastic thyroid carcinoma. Other rare tumours such as sarcomas, lymphomas and the extremely rare primary squamous cell carcinoma of the thyroid should be included in the second group. Secondary or metastatic thyroid cancer can be from breast, lung, colon and kidney malignancies.

  5. Breast cancer tumor classification using LASSO method selection approach

    Energy Technology Data Exchange (ETDEWEB)

    Celaya P, J. M.; Ortiz M, J. A.; Martinez B, M. R.; Solis S, L. O.; Castaneda M, R.; Garza V, I.; Martinez F, M.; Ortiz R, J. M., E-mail: morvymm@yahoo.com.mx [Universidad Autonoma de Zacatecas, Av. Ramon Lopez Velarde 801, Col. Centro, 98000 Zacatecas, Zac. (Mexico)

    2016-10-15

    Breast cancer is one of the leading causes of deaths worldwide among women. Early tumor detection is key in reducing breast cancer deaths and screening mammography is the widest available method for early detection. Mammography is the most common and effective breast cancer screening test. However, the rate of positive findings is very low, making the radiologic interpretation monotonous and biased toward errors. In an attempt to alleviate radiological workload, this work presents a computer-aided diagnosis (CAD x) method aimed to automatically classify tumor lesions into malign or benign as a means to a second opinion. The CAD x methos, extracts image features, and classifies the screening mammogram abnormality into one of two categories: subject at risk of having malignant tumor (malign), and healthy subject (benign). In this study, 143 abnormal segmentation s (57 malign and 86 benign) from the Breast Cancer Digital Repository (BCD R) public database were used to train and evaluate the CAD x system. Percentile-rank (p-rank) was used to standardize the data. Using the LASSO feature selection methodology, the model achieved a Leave-one-out-cross-validation area under the receiver operating characteristic curve (Auc) of 0.950. The proposed method has the potential to rank abnormal lesions with high probability of malignant findings aiding in the detection of potential malign cases as a second opinion to the radiologist. (Author)

  6. TNM staging and classification (familial and nonfamilial of breast cancer in Jordanian females

    Directory of Open Access Journals (Sweden)

    M F Atoum

    2010-01-01

    Full Text Available Purpose : Staging of breast tumor has important implications for treatment and prognosis. This study aims at pinpointing the frequency of each stage among familial and nonfamilial breast cancers. Materials and Methods : Ninety-nine Jordanian females diagnosed with familial and nonfamilial breast cancer between 2000 and 2002 were enrolled in this study All breast cancer cases were staged according to the TNM classification into in situ, early invasive, advanced invasive and metastatic. Results : Forty-three cases were familial breast cancer and 56 were nonfamilial. One female breast cancer was diagnosed with ductal carcinoma in situ (DCIS cancer. Fifty cases were diagnosed in early stages of invasive breast cancer, of which 31 cases were familial, 29 cases were classified as advanced invasive, where 21 cases were nonfamilial and 19 cases were metastatic stage of breast cancer, with 16 nonfamilial cases. Stage 2b was the most common stage of early invasive cases and represented 48% of the early stage of breast cancer. On the other hand, among cases diagnosed with advanced invasive breast cancer, stage 3a was the most common stage and represented 89.6% of the advanced stage. Interestingly, all cases of stage 3a belonged to TNM stages of T2N2M0 and T3N1M0. The tumor size in all cases of Jordanian females diagnosed with advanced invasive breast cancer exceeded 2 cm in size due to selection bias from symptomatic women in our study. Conclusion : The incidence of nonfamilial breast cancer was slightly higher than that of the familial type amongst studied the Jordanian females studied. The early invasive stage of breast cancer was more common in the familial while the advanced invasive and metastatic breast cancer cases were encountered more often in the nonfamilial type. Our study was based on a small sample and symptomatic women. Therefore, more research with larger population samples is needed to confirm this conclusion.

  7. From molecular classification to targeted therapeutics: the changing face of systemic therapy in metastatic gastroesophageal cancer.

    Science.gov (United States)

    Murphy, Adrian; Kelly, Ronan J

    2015-01-01

    Histological classification of adenocarcinoma or squamous cell carcinoma for esophageal cancer or using the Lauren classification for intestinal and diffuse type gastric cancer has limited clinical utility in the management of advanced disease. Germline mutations in E-cadherin (CDH1) or mismatch repair genes (Lynch syndrome) were identified many years ago but given their rarity, the identification of these molecular alterations does not substantially impact treatment in the advanced setting. Recent molecular profiling studies of upper GI tumors have added to our knowledge of the underlying biology but have not led to an alternative classification system which can guide clinician's therapeutic decisions. Recently the Cancer Genome Atlas Research Network has proposed four subtypes of gastric cancer dividing tumors into those positive for Epstein-Barr virus, microsatellite unstable tumors, genomically stable tumors, and tumors with chromosomal instability. Unfortunately to date, many phase III clinical trials involving molecularly targeted agents have failed to meet their survival endpoints due to their use in unselected populations. Future clinical trials should utilize molecular profiling of individual tumors in order to determine the optimal use of targeted therapies in preselected patients.

  8. From Molecular Classification to Targeted Therapeutics: The Changing Face of Systemic Therapy in Metastatic Gastroesophageal Cancer

    Directory of Open Access Journals (Sweden)

    Adrian Murphy

    2015-01-01

    Full Text Available Histological classification of adenocarcinoma or squamous cell carcinoma for esophageal cancer or using the Lauren classification for intestinal and diffuse type gastric cancer has limited clinical utility in the management of advanced disease. Germline mutations in E-cadherin (CDH1 or mismatch repair genes (Lynch syndrome were identified many years ago but given their rarity, the identification of these molecular alterations does not substantially impact treatment in the advanced setting. Recent molecular profiling studies of upper GI tumors have added to our knowledge of the underlying biology but have not led to an alternative classification system which can guide clinician’s therapeutic decisions. Recently the Cancer Genome Atlas Research Network has proposed four subtypes of gastric cancer dividing tumors into those positive for Epstein-Barr virus, microsatellite unstable tumors, genomically stable tumors, and tumors with chromosomal instability. Unfortunately to date, many phase III clinical trials involving molecularly targeted agents have failed to meet their survival endpoints due to their use in unselected populations. Future clinical trials should utilize molecular profiling of individual tumors in order to determine the optimal use of targeted therapies in preselected patients.

  9. Issues of hope and faith in the cancer patient.

    Science.gov (United States)

    Carni, E

    1988-12-01

    Akira Kurosawa's 1952 film about a man with a terminal gastric cancer introduces a discussion of hope and faith in the oncology patient. A psychodynamic relationship between hope and faith is explored, using Lawrence LeShan's research in cancer psychotherapy and Erik Erikson's lifespan developmental theory. LeShan describes a cancer personality characterized by hopeless despair, while Erikson formulates a psychogenetic framework for the development of hope and despair. Hope and faith are linked through the individual's earliest strivings toward basic trust in the world and his or her own self-efficacy. Accordingly, cancer psychotherapy may aim at restoring adult patients' faith in life and inner creative resources.

  10. Current perspectives and emerging issues on cancer rehabilitation.

    Science.gov (United States)

    Stubblefield, Michael D; Hubbard, Gill; Cheville, Andrea; Koch, Uwe; Schmitz, Kathryn H; Dalton, Susanne Oksbjerg

    2013-06-01

    Cancer rehabilitation is a rapidly emerging and evolving medical field in both Europe and the United States, in large part because of increases in the number of cancer survivors. Although few argue with the need to restore function and quality of life to patients affected by cancer and its treatments, differences exist between European countries with regard to the funding, accessibility, and even the definition of cancer rehabilitation services. In the United States, there is tremendous variability in the provision of rehabilitation services resulting from a variety of factors, including a lack of highly trained cancer rehabilitation physicians and therapists as well as a lack of comprehensive cancer rehabilitation programs, even at the majority of top cancer centers. Although studies evaluating the effectiveness of rehabilitation programs in the cancer setting, particularly exercise, have influenced clinical decision-making in both Europe and the United States for some time, this emerging evidence base also is now starting to influence guideline and policy making. Coordinated research efforts are essential to establish a robust framework to support future investigation and establish shared initiatives. Determining the best way forward for cancer survivors will require investment in large-scale prospective cohort studies that sufficiently describe their rehabilitation needs through the continuum of the survivorship experience.

  11. Contemporary issues in the diagnosis of prostate cancer for the radiologist

    Energy Technology Data Exchange (ETDEWEB)

    Clements, Richard [Royal Gwent Hospital, Department of Radiology, Newport, Gwent (United Kingdom)

    2006-07-15

    Prostate cancer diagnostic techniques have improved considerably in recent years, but they must yet be optimised to ensure cancer detection at a potentially curable stage. Arrangements for prostate biopsy vary throughout Europe, and prostate biopsy may be undertaken by urologists or radiologists. This review discusses current issues relevant for radiologists involved in the detection of early prostate cancer. Prostate biopsy should be based on a systematic approach involving 8-12 cores obtained with peri-prostatic infiltration of local anaesthetic. Quality issues being considered by the United Kingdom Prostate Cancer Risk Management Programme are discussed. (orig.)

  12. Gastric Cancer Risk Analysis in Unhealthy Habits Data with Classification Algorithms

    Directory of Open Access Journals (Sweden)

    Kirshners Arnis

    2015-12-01

    Full Text Available Data mining methods are applied to a medical task that seeks for the information about the influence of Helicobacter Pylori on the gastric cancer risk increase by analysing the adverse factors of individual lifestyle. In the process of data preprocessing, the data are cleared of noise and other factors, reduced in dimensionality, as well as transformed for the task and cleared of non-informative attributes. Data classification using C4.5, CN2 and k-nearest neighbour algorithms is carried out to find relationships between the analysed attributes and the descriptive class attribute – Helicobacter Pylori presence that could have influence on the cancer development risk. Experimental analysis is carried out using the data of the Latvian-based project “Interdisciplinary Research Group for Early Cancer Detection and Cancer Prevention” database.

  13. Classification of Dukes' B and C colorectal cancers using expression arrays

    DEFF Research Database (Denmark)

    Frederiksen, C.M.; Knudsen, Steen; Laurberg, S.;

    2003-01-01

    Purpose. Colorectal cancer is one of the most common malignancies. Substaging of the cancer is of importance not only to prognosis but also to treatment. Classification of substages based on DNA microarray technology is currently the most promising approach. We therefore investigated if gene...... expression microarrays could be used to classify colorectal tumors. Methods. We used the Affymetrix oligonucleotide arrays to analyze the expression of more than 5,000 genes in samples from the sigmoid and upper rectum of the left colon. Five samples were from normal mucosa and five samples from each......' A and D could not be classified correctly. A number of interesting gene clusters showed a discriminating difference between Dukes' B and C samples. These included mitochondrial genes, stromal remodeling genes, and genes related to cell adhesion. Conclusion. Molecular classification based on gene...

  14. Cancer pain: A critical review of mechanism-based classification and physical therapy management in palliative care

    Directory of Open Access Journals (Sweden)

    Senthil P Kumar

    2011-01-01

    Full Text Available Mechanism-based classification and physical therapy management of pain is essential to effectively manage painful symptoms in patients attending palliative care. The objective of this review is to provide a detailed review of mechanism-based classification and physical therapy management of patients with cancer pain. Cancer pain can be classified based upon pain symptoms, pain mechanisms and pain syndromes. Classification based upon mechanisms not only addresses the underlying pathophysiology but also provides us with an understanding behind patient′s symptoms and treatment responses. Existing evidence suggests that the five mechanisms - central sensitization, peripheral sensitization, sympathetically maintained pain, nociceptive and cognitive-affective - operate in patients with cancer pain. Summary of studies showing evidence for physical therapy treatment methods for cancer pain follows with suggested therapeutic implications. Effective palliative physical therapy care using a mechanism-based classification model should be tailored to suit each patient′s findings, using a biopsychosocial model of pain.

  15. Conformational SERS Classification of K-Ras Point Mutations for Cancer Diagnostics.

    Science.gov (United States)

    Morla-Folch, Judit; Gisbert-Quilis, Patricia; Masetti, Matteo; Garcia-Rico, Eduardo; Alvarez-Puebla, Ramon A; Guerrini, Luca

    2017-02-20

    Point mutations in Ras oncogenes are routinely screened for diagnostics and treatment of tumors (especially in colorectal cancer). Here, we develop an optical approach based on direct SERS coupled with chemometrics for the study of the specific conformations that single-point mutations impose on a relatively large fragment of the K-Ras gene (141 nucleobases). Results obtained offer the unambiguous classification of different mutations providing a potentially useful insight for diagnostics and treatment of cancer in a sensitive, fast, direct and inexpensive manner.

  16. Lung Cancer Early Diagnosis Using Some Data Mining Classification Techniques: A Survey

    Directory of Open Access Journals (Sweden)

    Thangaraju P

    2015-11-01

    Full Text Available  Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. Data mining is primarily used to this requirement thus finding its applications in diverse fields such as retail, financial, communication, marketing organizations and medicine. Data Mining plays an important role in healthcare organization because with the growth of population and dangerous deadly diseases like Cancer, SARS, Leprosy, HIV etc, Lung cancer is one of the most dangerous disease. This survey for appropriate medical image mining, Data Preprocessing, Feature Extraction, rule generation and classification, it provides basic framework for further improvement in medical diagnosis.

  17. Lung Cancer Early Diagnosis Using Some Data Mining Classification Techniques: A Survey

    Directory of Open Access Journals (Sweden)

    Thangaraju P

    2014-06-01

    Full Text Available Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. Data mining is primarily used to this requirement thus finding its applications in diverse fields such as retail, financial, communication, marketing organizations and medicine. Data Mining plays an important role in healthcare organization because with the growth of population and dangerous deadly diseases like Cancer, SARS, Leprosy, HIV etc, Lung cancer is one of the most dangerous disease. This survey for appropriate medical image mining, Data Preprocessing, Feature Extraction, rule generation and classification, it provides basic framework for further improvement in medical diagnosis.

  18. Clinical issues in the surgical treatment of colon cancer

    NARCIS (Netherlands)

    Amri, R.

    2015-01-01

    More than half of colon cancer patients will eventually die of their disease. Early detection is crucial to maximize chances of cure, as five-year survival can range from 97% to as low as 8% depending on disease stage at diagnosis. Since colon cancer is associated with both old age and obesity, near

  19. Students with Cancer: Presenting Issues and Effective Solutions

    Science.gov (United States)

    Root, Melissa M.; Bray, Melissa A.; Maykel, Cheryl; Cross, Karen; Shankar, Nilani L.; Theodore, Lea A.

    2016-01-01

    Practitioners working with children diagnosed with cancer in the school environment must consider several facets in order to effectively work with the child and family. The remission rate for children with cancer is relatively high, so one must consider whether the child is anticipating treatment, actively in treatment, or posttreatment when one…

  20. Integrated Classification of Prostate Cancer Reveals a Novel Luminal Subtype with Poor Outcome.

    Science.gov (United States)

    You, Sungyong; Knudsen, Beatrice S; Erho, Nicholas; Alshalalfa, Mohammed; Takhar, Mandeep; Al-Deen Ashab, Hussam; Davicioni, Elai; Karnes, R Jeffrey; Klein, Eric A; Den, Robert B; Ross, Ashley E; Schaeffer, Edward M; Garraway, Isla P; Kim, Jayoung; Freeman, Michael R

    2016-09-01

    Prostate cancer is a biologically heterogeneous disease with variable molecular alterations underlying cancer initiation and progression. Despite recent advances in understanding prostate cancer heterogeneity, better methods for classification of prostate cancer are still needed to improve prognostic accuracy and therapeutic outcomes. In this study, we computationally assembled a large virtual cohort (n = 1,321) of human prostate cancer transcriptome profiles from 38 distinct cohorts and, using pathway activation signatures of known relevance to prostate cancer, developed a novel classification system consisting of three distinct subtypes (named PCS1-3). We validated this subtyping scheme in 10 independent patient cohorts and 19 laboratory models of prostate cancer, including cell lines and genetically engineered mouse models. Analysis of subtype-specific gene expression patterns in independent datasets derived from luminal and basal cell models provides evidence that PCS1 and PCS2 tumors reflect luminal subtypes, while PCS3 represents a basal subtype. We show that PCS1 tumors progress more rapidly to metastatic disease in comparison with PCS2 or PCS3, including PSC1 tumors of low Gleason grade. To apply this finding clinically, we developed a 37-gene panel that accurately assigns individual tumors to one of the three PCS subtypes. This panel was also applied to circulating tumor cells (CTC) and provided evidence that PCS1 CTCs may reflect enzalutamide resistance. In summary, PCS subtyping may improve accuracy in predicting the likelihood of clinical progression and permit treatment stratification at early and late disease stages. Cancer Res; 76(17); 4948-58. ©2016 AACR.

  1. Apparent diffusion coefficient value of gastric cancer by diffusion-weighted imaging: Correlations with the histological differentiation and Lauren classification

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Song, E-mail: songliu532909756@gmail.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Guan, Wenxian, E-mail: wenxianguan123@126.com [Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Wang, Hao, E-mail: wanghao20140525@126.com [Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Pan, Liang, E-mail: panliang2014@126.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Zhou, Zhuping, E-mail: zhupingzhou@126.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Yu, Haiping, E-mail: haipingyu2012@126.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Liu, Tian, E-mail: tianliu2014@126.com [Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322 (United States); Yang, Xiaofeng, E-mail: xiaofengyang2014@126.com [Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322 (United States); He, Jian, E-mail: hjxueren@126.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Zhou, Zhengyang, E-mail: zyzhou@nju.edu.cn [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China)

    2014-12-15

    Highlights: • Gastric cancers’ ADC values were significantly lower than normal gastric wall. • Gastric adenocarcinomas with different differentiation had different ADC values. • Gastric adenocarcinomas’ ADC values correlated with histologic differentiations. • Gastric cancers’ ADC values correlated with Lauren classifications. • Mean ADC value was better than min ADC value in characterizing gastric cancers. - Abstract: Objective: The purpose of this study was to evaluate the correlations between histological differentiation and Lauren classification of gastric cancer and the apparent diffusion coefficient (ADC) value of diffusion weighted imaging (DWI). Materials and methods: Sixty-nine patients with gastric cancer lesions underwent preoperative magnetic resonance imaging (MRI) (3.0T) and surgical resection. DWI was obtained with a single-shot, echo-planar imaging sequence in the axial plane (b values: 0 and 1000 s/mm{sup 2}). Mean and minimum ADC values were obtained for each gastric cancer and normal gastric walls by two radiologists, who were blinded to the histological findings. Histological type, degree of differentiation and Lauren classification of each resected specimen were determined by one pathologist. Mean and minimum ADC values of gastric cancers with different histological types, degrees of differentiation and Lauren classifications were compared. Correlations between ADC values and histological differentiation and Lauren classification were analyzed. Results: The mean and minimum ADC values of gastric cancers, as a whole and separately, were significantly lower than those of normal gastric walls (all p values <0.001). There were significant differences in the mean and minimum ADC values among gastric cancers with different histological types, degrees of differentiation and Lauren classifications (p < 0.05). Mean and minimum ADC values correlated significantly (all p < 0.001) with histological differentiation (r = 0.564, 0.578) and

  2. Classification of breast cancer stroma as a tool for prognosis

    Science.gov (United States)

    Reis, Sara; Gazinska, Patrycja; Hipwell, John H.; Mertzanidou, Thomy; Naidoo, Kalnisha; Pinder, Sarah; Hawkes, David J.

    2016-03-01

    It has been shown that the tumour microenvironment plays a crucial role in regulating tumour progression by a number of different mechanisms, including the remodeling of collagen fibres in tumour-associated stroma. It is still unclear, however, if these stromal changes are of benefit to the host or the tumour. We hypothesise that stromal maturity is an important reflection of tumour biology, and thus can be used to predict prognosis. The aim of this study is to develop a texture analysis methodology which will automatically classify stromal regions from images of hematoxylin and eosin-stained (H and E) sections into two categories: mature and immature. Subsequently we will investigate whether stromal maturity could be used as a predictor of survival and also as a means to better understand the relationship between the radiological imaging signal and the underlying tissue microstructure. We present initial results for 118 regions-of-interest from a dataset of 39 patients diagnosed with invasive breast cancer.

  3. Classification and Clinical Management of Variants of Uncertain Significance in High Penetrance Cancer Predisposition Genes.

    Science.gov (United States)

    Moghadasi, Setareh; Eccles, Diana M; Devilee, Peter; Vreeswijk, Maaike P G; van Asperen, Christi J

    2016-04-01

    In 2008, the International Agency for Research on Cancer (IARC) proposed a system for classifying sequence variants in highly penetrant breast and colon cancer susceptibility genes, linked to clinical actions. This system uses a multifactorial likelihood model to calculate the posterior probability that an altered DNA sequence is pathogenic. Variants between 5%-94.9% (class 3) are categorized as variants of uncertain significance (VUS). This interval is wide and might include variants with a substantial difference in pathogenicity at either end of the spectrum. We think that carriers of class 3 variants would benefit from a fine-tuning of this classification. Classification of VUS to a category with a defined clinical significance is very important because for carriers of a pathogenic mutation full surveillance and risk-reducing surgery can reduce cancer incidence. Counselees who are not carriers of a pathogenic mutation can be discharged from intensive follow-up and avoid unnecessary risk-reducing surgery. By means of examples, we show how, in selected cases, additional data can lead to reclassification of some variants to a different class with different recommendations for surveillance and therapy. To improve the clinical utility of this classification system, we suggest a pragmatic adaptation to clinical practice.

  4. Mediterranean Diet and cancer risk: an open issue.

    Science.gov (United States)

    D'Alessandro, Annunziata; De Pergola, Giovanni; Silvestris, Franco

    2016-09-01

    The traditional Mediterranean Diet of the early 1960s meets the characteristics of an anticancer diet defined by the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AIRC). A diet rich of whole grains, pulses, vegetables and fruits, limited in high-calorie foods (foods high in sugar or fat), red meat and foods high in salt, without sugary drinks and processed meat is recommended by the WCRF/AIRC experts to reduce the risk of cancer. The aim of this review was to examine whether Mediterranean Diet is protective or not against cancer risk. Three meta-analyses of cohort studies reported that a high adherence to the Mediterranean Diet significantly reduces the risk of cancer incidence and/or mortality. Nevertheless, the Mediterranean dietary pattern defined in the studies' part of the meta-analyses has qualitative and/or quantitative differences compared to the Mediterranean Diet of the early 1960s. Therefore, the protective role of the Mediterranean Diet against cancer has not definitely been established. In epidemiological studies, a universal definition of the Mediterranean Diet, possibly the traditional Mediterranean Diet of the early 1960s, could be useful to understand the role of this dietary pattern in cancer prevention.

  5. Nanomaterials for environmental studies: Classification, reference material issues, and strategies for physico-chemical characterisation

    NARCIS (Netherlands)

    Stone, V.; Nowack, B.; Baun, A.; Brink, van den N.W.; Kammer, von den F.; Dusinska, M.; Handy, R.; Hankin, S.; Hassellöv, M.; Joner, E.; Fernandes, T.F.

    2010-01-01

    NanoImpactNet is a European Commission Framework Programme 7 (FP7) funded project that provides a forum for the discussion of current opinions on nanomaterials in relation to human and environmental issues. In September 2008, in Zurich, a NanoImpactNet environmental workshop focused on three key que

  6. Methodological issues in international comparison of interval breast cancers

    NARCIS (Netherlands)

    Bulliard, Jean-Luc; Sasieni, Peter; Klabunde, Carrie; De Landtsheer, Jean-Pierre; Yankaskas, Bonnie C.; Fracheboud, Jacques

    2006-01-01

    International comparisons of interval cancers (IC) are important to better understand the relationship between programmes' performance and screening practices. In this respect, differences in (i) definition, (ii) identification and (iii) quantification of IC have received little attention. To examin

  7. Improving accuracy for cancer classification with a new algorithm for genes selection

    Directory of Open Access Journals (Sweden)

    Zhang Hongyan

    2012-11-01

    Full Text Available Abstract Background Even though the classification of cancer tissue samples based on gene expression data has advanced considerably in recent years, it faces great challenges to improve accuracy. One of the challenges is to establish an effective method that can select a parsimonious set of relevant genes. So far, most methods for gene selection in literature focus on screening individual or pairs of genes without considering the possible interactions among genes. Here we introduce a new computational method named the Binary Matrix Shuffling Filter (BMSF. It not only overcomes the difficulty associated with the search schemes of traditional wrapper methods and overfitting problem in large dimensional search space but also takes potential gene interactions into account during gene selection. This method, coupled with Support Vector Machine (SVM for implementation, often selects very small number of genes for easy model interpretability. Results We applied our method to 9 two-class gene expression datasets involving human cancers. During the gene selection process, the set of genes to be kept in the model was recursively refined and repeatedly updated according to the effect of a given gene on the contributions of other genes in reference to their usefulness in cancer classification. The small number of informative genes selected from each dataset leads to significantly improved leave-one-out (LOOCV classification accuracy across all 9 datasets for multiple classifiers. Our method also exhibits broad generalization in the genes selected since multiple commonly used classifiers achieved either equivalent or much higher LOOCV accuracy than those reported in literature. Conclusions Evaluation of a gene’s contribution to binary cancer classification is better to be considered after adjusting for the joint effect of a large number of other genes. A computationally efficient search scheme was provided to perform effective search in the extensive

  8. TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection

    Directory of Open Access Journals (Sweden)

    Wang Haiyan

    2013-01-01

    Full Text Available Abstract Background One of the challenges in classification of cancer tissue samples based on gene expression data is to establish an effective method that can select a parsimonious set of informative genes. The Top Scoring Pair (TSP, k-Top Scoring Pairs (k-TSP, Support Vector Machines (SVM, and prediction analysis of microarrays (PAM are four popular classifiers that have comparable performance on multiple cancer datasets. SVM and PAM tend to use a large number of genes and TSP, k-TSP always use even number of genes. In addition, the selection of distinct gene pairs in k-TSP simply combined the pairs of top ranking genes without considering the fact that the gene set with best discrimination power may not be the combined pairs. The k-TSP algorithm also needs the user to specify an upper bound for the number of gene pairs. Here we introduce a computational algorithm to address the problems. The algorithm is named Chisquare-statistic-based Top Scoring Genes (Chi-TSG classifier simplified as TSG. Results The TSG classifier starts with the top two genes and sequentially adds additional gene into the candidate gene set to perform informative gene selection. The algorithm automatically reports the total number of informative genes selected with cross validation. We provide the algorithm for both binary and multi-class cancer classification. The algorithm was applied to 9 binary and 10 multi-class gene expression datasets involving human cancers. The TSG classifier outperforms TSP family classifiers by a big margin in most of the 19 datasets. In addition to improved accuracy, our classifier shares all the advantages of the TSP family classifiers including easy interpretation, invariant to monotone transformation, often selects a small number of informative genes allowing follow-up studies, resistant to sampling variations due to within sample operations. Conclusions Redefining the scores for gene set and the classification rules in TSP family

  9. Specific psychosocial issues of individuals undergoing genetic counseling for cancer - a literature review.

    Science.gov (United States)

    Eijzenga, Willem; Hahn, Daniela E E; Aaronson, Neil K; Kluijt, Irma; Bleiker, Eveline M A

    2014-04-01

    Approximately 25% of individuals undergoing genetic counseling for cancer experiences clinically relevant levels of distress, anxiety and/or depression. However, these general psychological outcomes that are used in many studies do not provide detailed information on the specific psychosocial problems experienced by counselees. The aim of this review was to investigate the specific psychosocial issues encountered by individuals undergoing genetic counseling for cancer, and to identify overarching themes across these issues. A literature search was performed, using four electronic databases (PubMed, PsychInfo, CINAHL and Embase). Papers published between January 2000 and January 2013 were selected using combinations, and related indexing terms of the keywords: 'genetic counseling', 'psychology' and 'cancer'. In total, 25 articles met our inclusion criteria. We identified the specific issues addressed by these papers, and used meta-ethnography to identify the following six overarching themes: coping with cancer risk, practical issues, family issues, children-related issues, living with cancer, and emotions. A large overlap in the specific issues and themes was found between these studies, suggesting that research on specific psychosocial problems within genetic counseling has reached a point of saturation. As a next step, efforts should be made to detect and monitor these problems of counselees at an early stage within the genetic counseling process.

  10. Molecular voting for glioma classification reflecting heterogeneity in the continuum of cancer progression.

    Science.gov (United States)

    Fuller, Gregory N; Mircean, Cristian; Tabus, Ioan; Taylor, Ellen; Sawaya, Raymond; Bruner, Janet M; Shmulevich, Ilya; Zhang, Wei

    2005-09-01

    Gliomas, the most common brain tumors, are generally categorized into two lineages (astrocytic and oligodendrocytic) and further classified as low-grade (astrocytoma and oligodendroglioma), mid-grade (anaplastic astrocytoma and anaplastic oligodendroglioma), and high-grade (glioblastoma multiforme) based on morphological features. A strict classification scheme has limitations because a specific glioma can be at any stage of the continuum of cancer progression and may contain mixed features. Thus, a more comprehensive classification based on molecular signatures may reflect the biological nature of specific tumors more accurately. In this study, we used microarray technology to profile the gene expression of 49 human brain tumors and applied the k-nearest neighbor algorithm for classification. We first trained the classification gene set with 19 of the most typical glioma cases and selected a set of genes that provide the lowest cross-validation classification error with k=5. We then applied this gene set to the 30 remaining cases, including several that do not belong to gliomas such as atypical meningioma. The results showed that not only does the algorithm correctly classify most of the gliomas, but the detailed voting results also provide more subtle information regarding the molecular similarities to neighboring classes. For atypical meningioma, the voting was equally split among the four classes, indicating a difficulty in placement of meningioma into the four classes of gliomas. Thus, the actual voting results, which are typically used only to decide the winning class label in k-nearest neighbor algorithms, provide a useful method for gaining deeper insight into the stage of a tumor in the continuum of cancer development.

  11. Profiling alternatively spliced mRNA isoforms for prostate cancer classification

    Directory of Open Access Journals (Sweden)

    Fan Jian-Bing

    2006-04-01

    Full Text Available Abstract Background Prostate cancer is one of the leading causes of cancer illness and death among men in the United States and world wide. There is an urgent need to discover good biomarkers for early clinical diagnosis and treatment. Previously, we developed an exon-junction microarray-based assay and profiled 1532 mRNA splice isoforms from 364 potential prostate cancer related genes in 38 prostate tissues. Here, we investigate the advantage of using splice isoforms, which couple transcriptional and splicing regulation, for cancer classification. Results As many as 464 splice isoforms from more than 200 genes are differentially regulated in tumors at a false discovery rate (FDR of 0.05. Remarkably, about 30% of genes have isoforms that are called significant but do not exhibit differential expression at the overall mRNA level. A support vector machine (SVM classifier trained on 128 signature isoforms can correctly predict 92% of the cases, which outperforms the classifier using overall mRNA abundance by about 5%. It is also observed that the classification performance can be improved using multivariate variable selection methods, which take correlation among variables into account. Conclusion These results demonstrate that profiling of splice isoforms is able to provide unique and important information which cannot be detected by conventional microarrays.

  12. A NEW FUNCTIONAL CLASSIFICATION OF STOMACH CANCER AND ITS PATHOBIOLOGICAL AND CLINICAL SIGNIFICANCE

    Institute of Scientific and Technical Information of China (English)

    辛彦; 赵风凯; 宫伟; 王艳萍; 张荫昌; 闫瑞方

    1994-01-01

    The functional differentiations of stomach cancer specimens from 121patients were investigated by enzyme-,mucin-,affinity-and immunohistochemical methods,and the stomach cancers were divided into five functionally differentiated types:1)Absorptive Function Differentiation Type (AFDT),19.8%;2)Mucin Secreting Func-tion Differentiation Type (MSFDT),24.0%;3)Absorptive and Mucin-Producing Function Differentiation Type (AMPFDT),47.1%;4)Special Function Differentiation Type (SFDT),0.8%;and 5)Non-Function Differ-entiation Type(NFDT),8.3%.The results indicate that stomach cancer tissues of the same histological type of -ten display differing functional differentiation,and these functionally differentiated types have different invasive and metastatic characteristics.In addition,the functionally differentiated types have particular organic affinities of metastasis and different clinical prognoses.This study suggests that this new functional classification may supple-ment histological classification.The mechanisms of liver and ovary metastases of stomach cancer are also dis-cussed.

  13. Correlation coefficient mapping in fluorescence spectroscopy: tissue classification for cancer detection.

    Science.gov (United States)

    Crowell, Ed; Wang, Gufeng; Cox, Jason; Platz, Charles P; Geng, Lei

    2005-03-01

    Correlation coefficient mapping has been applied to intrinsic fluorescence spectra of colonic tissue for the purpose of cancer diagnosis. Fluorescence emission spectra were collected of 57 colonic tissue sites in a range of 4 physiological conditions: normal (29), hyperplastic (2), adenomatous (5), and cancerous tissues (21). The sample-sample correlation was used to examine the ability of correlation coefficient mapping to determine tissue disease state. The correlation coefficient map indicates two main categories of samples. These categories were found to relate to disease states of the tissue. Sensitivity, selectivity, predictive value positive, and predictive value negative for differentiation between normal tissue and all other categories were all above 92%. This was found to be similar to, or higher than, tissue classification using existing methods of data reduction. Wavelength-wavelength correlation among the samples highlights areas of importance for tissue classification. The two-dimensional correlation map reveals absorption by NADH and hemoglobin in the samples as negative correlation, an effect not obvious from the one-dimensional fluorescence spectra alone. The integrity of tissue was examined in a time series of spectra of a single tissue sample taken after tissue resection. The wavelength-wavelength correlation coefficient map shows the areas of significance for each fluorophore and their relation to each other. NADH displays negative correlation to collagen and FAD, from the absorption of emission or fluorescence resonance energy transfer. The wavelength-wavelength correlation map for the decay set also clearly shows that there are only three fluorophores of importance in the samples, by the well-defined pattern of the map. The sample-sample correlation coefficient map reveals the changes over time and their impact on tissue classification. Correlation coefficient mapping proves to be an effective method for sample classification and cancer

  14. Review on Feature Selection Techniques and the Impact of SVM for Cancer Classification using Gene Expression Profile

    CERN Document Server

    George, G Victo Sudha; 10.5121/ijcses.2011.2302

    2011-01-01

    The DNA microarray technology has modernized the approach of biology research in such a way that scientists can now measure the expression levels of thousands of genes simultaneously in a single experiment. Gene expression profiles, which represent the state of a cell at a molecular level, have great potential as a medical diagnosis tool. But compared to the number of genes involved, available training data sets generally have a fairly small sample size for classification. These training data limitations constitute a challenge to certain classification methodologies. Feature selection techniques can be used to extract the marker genes which influence the classification accuracy effectively by eliminating the un wanted noisy and redundant genes This paper presents a review of feature selection techniques that have been employed in micro array data based cancer classification and also the predominant role of SVM for cancer classification.

  15. Artificial neural networks as classification and diagnostic tools for lymph node-negative breast cancers

    Energy Technology Data Exchange (ETDEWEB)

    Eswari J, Satya; Chandrakar, Neha [National Institute of Technology Raipur, Raipur (India)

    2016-04-15

    Artificial neural networks (ANNs) can be used to develop a technique to classify lymph node negative breast cancer that is prone to distant metastases based on gene expression signatures. The neural network used is a multilayered feed forward network that employs back propagation algorithm. Once trained with DNA microarraybased gene expression profiles of genes that were predictive of distant metastasis recurrence of lymph node negative breast cancer, the ANNs became capable of correctly classifying all samples and recognizing the genes most appropriate to the classification. To test the ability of the trained ANN models in recognizing lymph node negative breast cancer, we analyzed additional idle samples that were not used beforehand for the training procedure and obtained the correctly classified result in the validation set. For more substantial result, bootstrapping of training and testing dataset was performed as external validation. This study illustrates the potential application of ANN for breast tumor diagnosis and the identification of candidate targets in patients for therapy.

  16. Polyphenols: Key Issues Involved in Chemoprevention of Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Sebastiano Cimino

    2012-01-01

    Full Text Available Prostate cancer is is the most common solid neoplasm and it is now recognized as one of the most important medical problems facing the male population. Due to its long latency and its identifiable preneoplastic lesions, prostate cancer is an ideal target tumor for chemoprevention. Different compounds are available and certainly polyphenols represent those with efficacy against prostate cancer. This review take a look at activity and properties of major polyphenolic substances, such as epigallocatechin-3-gallate, curcumin, resveratrol and the flavonoids quercetin and genistein. Although the current studies are limited, mechanisms of action of polyphenols added with the lack of side effects show a a start for future strategies in prostate chemoprevention.

  17. Cancer Biochemistry and Host-Tumor Interactions: A Decimal Classification, (Categories 51.6, 51.7, and 51.8).

    Science.gov (United States)

    Schneider, John H.

    This is a hierarchical decimal classification of information related to cancer biochemistry, to host-tumor interactions (including cancer immunology), and to occurrence of cancer in special types of animals and plants. It is a working draft of categories taken from an extensive classification of many fields of biomedical information. Because the…

  18. Use of multivariate analysis to suggest a new molecular classification of colorectal cancer

    Science.gov (United States)

    Domingo, Enric; Ramamoorthy, Rajarajan; Oukrif, Dahmane; Rosmarin, Daniel; Presz, Michal; Wang, Haitao; Pulker, Hannah; Lockstone, Helen; Hveem, Tarjei; Cranston, Treena; Danielsen, Havard; Novelli, Marco; Davidson, Brian; Xu, Zheng-Zhou; Molloy, Peter; Johnstone, Elaine; Holmes, Christopher; Midgley, Rachel; Kerr, David; Sieber, Oliver; Tomlinson, Ian

    2013-01-01

    Abstract Molecular classification of colorectal cancer (CRC) is currently based on microsatellite instability (MSI), KRAS or BRAF mutation and, occasionally, chromosomal instability (CIN). Whilst useful, these categories may not fully represent the underlying molecular subgroups. We screened 906 stage II/III CRCs from the VICTOR clinical trial for somatic mutations. Multivariate analyses (logistic regression, clustering, Bayesian networks) identified the primary molecular associations. Positive associations occurred between: CIN and TP53 mutation; MSI and BRAF mutation; and KRAS and PIK3CA mutations. Negative associations occurred between: MSI and CIN; MSI and NRAS mutation; and KRAS mutation, and each of NRAS, TP53 and BRAF mutations. Some complex relationships were elucidated: KRAS and TP53 mutations had both a direct negative association and a weaker, confounding, positive association via TP53–CIN–MSI–BRAF–KRAS. Our results suggested a new molecular classification of CRCs: (1) MSI+ and/or BRAF-mutant; (2) CIN+ and/or TP53– mutant, with wild-type KRAS and PIK3CA; (3) KRAS- and/or PIK3CA-mutant, CIN+, TP53-wild-type; (4) KRAS– and/or PIK3CA-mutant, CIN–, TP53-wild-type; (5) NRAS-mutant; (6) no mutations; (7) others. As expected, group 1 cancers were mostly proximal and poorly differentiated, usually occurring in women. Unexpectedly, two different types of CIN+ CRC were found: group 2 cancers were usually distal and occurred in men, whereas group 3 showed neither of these associations but were of higher stage. CIN+ cancers have conventionally been associated with all three of these variables, because they have been tested en masse. Our classification also showed potentially improved prognostic capabilities, with group 3, and possibly group 1, independently predicting disease-free survival. Copyright © 2012 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. PMID:23165447

  19. Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study

    Science.gov (United States)

    Ghavidel, Sahar; Imani, Farhad; Khallaghi, Siavash; Gibson, Eli; Khojaste, Amir; Gaed, Mena; Moussa, Madeleine; Gomez, Jose A.; Siemens, D. Robert; Leveridge, Michael; Chang, Silvia; Fenster, Aaron; Ward, Aaron D.; Abolmaesumi, Purang; Mousavi, Parvin

    2016-03-01

    Temporal ultrasound has been shown to have high classification accuracy in differentiating cancer from benign tissue. In this paper, we extend the temporal ultrasound method to classify lower grade Prostate Cancer (PCa) from all other grades. We use a group of nine patients with mostly lower grade PCa, where cancerous regions are also limited. A critical challenge is to train a classifier with limited aggressive cancerous tissue compared to low grade cancerous tissue. To resolve the problem of imbalanced data, we use Synthetic Minority Oversampling Technique (SMOTE) to generate synthetic samples for the minority class. We calculate spectral features of temporal ultrasound data and perform feature selection using Random Forests. In leave-one-patient-out cross-validation strategy, an area under receiver operating characteristic curve (AUC) of 0.74 is achieved with overall sensitivity and specificity of 70%. Using an unsupervised learning approach prior to proposed method improves sensitivity and AUC to 80% and 0.79. This work represents promising results to classify lower and higher grade PCa with limited cancerous training samples, using temporal ultrasound.

  20. Classification of normal and cancerous lung tissues by electrical impendence tomography.

    Science.gov (United States)

    Gao, Jianling; Yue, Shihong; Chen, Jun; Wang, Huaxiang

    2014-01-01

    Biological tissue impedance spectroscopy can provide rich physiological and pathological information by measuring the variation of the complex impedance of biological tissues under various frequencies of driven current. Electrical Impedance Tomography (EIT) technique can measure the impedance spectroscopy of biological tissue in medical field. Before application, a key problem must be solved on how to generally distinguish normal tissues from the cancerous in terms of measurable EIT data. In this paper, the impedance spectroscopy characteristics of human lung tissue are studied. On the basis of the measured data of 109 lung cancer patients, Cole-Cole Circle radius (CCCR) and the complex modulus are extracted. In terms of the two characteristics, 71.6% and 66.4% samples of cancerous and normal tissues can be correctly classified, respectively. Furthermore, two characteristics of the measured EIT data of each patient consist of a two-dimensional vector and all such vectors comprise a set of vectors. When classifying the vector set, the rate of correctly partitioning normal and cancerous tissues can be raised to 78.2%. The main factors to affect the classification results on normal and cancerous tissues are generally analyzed. The proposed method will play an important role in further working out an efficient and feasible diagnostic method for potential lung cancer patients, and provide theoretical basis and reference data for electrical impedance tomography technology in monitoring pulmonary function.

  1. SELDI-TOF Serum Profiling for Prognostic and Diagnostic Classification of Breast Cancers

    Directory of Open Access Journals (Sweden)

    Christine Laronga

    2004-01-01

    Full Text Available Surface enhanced laser desorption/ionization (SELDI time-of-flight mass spectrometry has emerged as a successful tool for serum based detection and differentiation of many cancer types, including breast cancers. In this study, we have applied the SELDI technology to evaluate three potential applications that could extend the effectiveness of established procedures and biomarkers used for prognostication of breast cancers. Paired serum samples obtained from women with breast cancers prior to surgery and post-surgery (6–9 mos. were examined. In 14/16 post-treatment patients, serum protein profiles could be used to distinguish these samples from the pre-treatment cancer samples. When compared to serum samples from normal healthy women, 11 of these post-treatment samples retained global protein profiles not found in healthy women, including five low-mass proteins that remained elevated in both pre-treatment and post-treatment serum groups. In another pilot study, serum profiles were compared for a group of 30 women who were known BRCA-1 mutation carriers, half of whom subsequently developed breast cancer within three years of the sample procurement. SELDI protein profiling accurately classified 13/15 women with BRCA-1 breast cancers from the 15 non-cancer BRCA-1 carriers. Additionally, the ability of SELDI to distinguish between the serum profiles from sentinel lymph node positive and sentinel lymph node negative patients was evaluated. In sentinel lymph node positive samples, 22/27 samples were correctly classified, in comparison to the correct classification of 55/71 sentinel lymph node negative samples. These initial results indicate the utility of protein profiling approaches for developing new diagnostic and prognostic assays for breast cancers.

  2. 3D texture analysis for classification of second harmonic generation images of human ovarian cancer

    Science.gov (United States)

    Wen, Bruce; Campbell, Kirby R.; Tilbury, Karissa; Nadiarnykh, Oleg; Brewer, Molly A.; Patankar, Manish; Singh, Vikas; Eliceiri, Kevin. W.; Campagnola, Paul J.

    2016-10-01

    Remodeling of the collagen architecture in the extracellular matrix (ECM) has been implicated in ovarian cancer. To quantify these alterations we implemented a form of 3D texture analysis to delineate the fibrillar morphology observed in 3D Second Harmonic Generation (SHG) microscopy image data of normal (1) and high risk (2) ovarian stroma, benign ovarian tumors (3), low grade (4) and high grade (5) serous tumors, and endometrioid tumors (6). We developed a tailored set of 3D filters which extract textural features in the 3D image sets to build (or learn) statistical models of each tissue class. By applying k-nearest neighbor classification using these learned models, we achieved 83-91% accuracies for the six classes. The 3D method outperformed the analogous 2D classification on the same tissues, where we suggest this is due the increased information content. This classification based on ECM structural changes will complement conventional classification based on genetic profiles and can serve as an additional biomarker. Moreover, the texture analysis algorithm is quite general, as it does not rely on single morphological metrics such as fiber alignment, length, and width but their combined convolution with a customizable basis set.

  3. Molecular prostate cancer pathology: current issues and achievements.

    NARCIS (Netherlands)

    Schalken, J.A.; Bergh, A. von; Bono, A.V.; Foster, C.; Gospadarowicz, M.; Isaacs, W.B.; Rubin, M.; Schroder, F.H.; Tribukait, B.; Tsukamotot, T.; Wiklund, P.

    2005-01-01

    Recent developments in the field of molecular techniques have provided new tools that have led to the discovery of many new promising biomarkers for prostate cancer. These biomarkers may be instrumental in the development of new tests that will have a high specificity for the diagnosis and prognosis

  4. Cervical cancer, quality issues in early detection and prognostic factors

    NARCIS (Netherlands)

    Zaal, A.

    2014-01-01

    It is expected that cervical cancer incidence will reduce in The Netherlands over the next decades, as a result of hrHPV vaccination and hrHPV-based screening. Untill then, quality of care could need some improvements as suggested by the work described in this thesis. Novel tools are being indicated

  5. Atrophic Vaginitis in Breast Cancer Survivors: A Difficult Survivorship Issue

    Directory of Open Access Journals (Sweden)

    Joanne Lester

    2015-03-01

    Full Text Available Management of breast cancer includes systematic therapies including chemotherapy and endocrine therapy can lead to a variety of symptoms that can impair the quality of life of many breast cancer survivors. Atrophic vaginitis, caused by decreased levels of circulating estrogen to urinary and vaginal receptors, is commonly experienced by this group. Chemotherapy induced ovarian failure and endocrine therapies including aromatase inhibitors and selective estrogen receptor modulators can trigger the onset of atrophic vaginitis or exacerbate existing symptoms. Symptoms of atrophic vaginitis include vaginal dryness, dyspareunia, and irritation of genital skin, pruritus, burning, vaginal discharge, and soreness. The diagnosis of atrophic vaginitis is confirmed through patient-reported symptoms and gynecological examination of external structures, introitus, and vaginal mucosa. Lifestyle modifications can be helpful but are usually insufficient to significantly improve symptoms. Non-hormonal vaginal therapies may provide additional relief by increasing vaginal moisture and fluid. Systemic estrogen therapy is contraindicated in breast cancer survivors. Continued investigations of various treatments for atrophic vaginitis are necessary. Local estrogen-based therapies, DHEA, testosterone, and pH-balanced gels continue to be evaluated in ongoing studies. Definitive results are needed pertaining to the safety of topical estrogens in breast cancer survivors.

  6. Diagnostic Classification of Normal Persons and Cancer Patients by Using Neural Network Based on Trace Metal Contents in Serum Samples

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Artificial neural network with the back-propagation(BP-ANN) approach was applied to the classification of normal persons and various cancer patients based on the elemental contents in serum samples. This method was verified by the cross-validation method. The effects of the net work parameters were investigated and the related problems were discussed. The samples of 72, 42, and 52 for lung, liver, and stomach cancer patients and normal persons, respectively, were used for the classification study. About 95% of the samples can be classified correctly. There fore, the method can be used as an auxiliary means of the diagnosis of cancer.

  7. Gene selection and classification for cancer microarray data based on machine learning and similarity measures

    Directory of Open Access Journals (Sweden)

    Liu Qingzhong

    2011-12-01

    Full Text Available Abstract Background Microarray data have a high dimension of variables and a small sample size. In microarray data analyses, two important issues are how to choose genes, which provide reliable and good prediction for disease status, and how to determine the final gene set that is best for classification. Associations among genetic markers mean one can exploit information redundancy to potentially reduce classification cost in terms of time and money. Results To deal with redundant information and improve classification, we propose a gene selection method, Recursive Feature Addition, which combines supervised learning and statistical similarity measures. To determine the final optimal gene set for prediction and classification, we propose an algorithm, Lagging Prediction Peephole Optimization. By using six benchmark microarray gene expression data sets, we compared Recursive Feature Addition with recently developed gene selection methods: Support Vector Machine Recursive Feature Elimination, Leave-One-Out Calculation Sequential Forward Selection and several others. Conclusions On average, with the use of popular learning machines including Nearest Mean Scaled Classifier, Support Vector Machine, Naive Bayes Classifier and Random Forest, Recursive Feature Addition outperformed other methods. Our studies also showed that Lagging Prediction Peephole Optimization is superior to random strategy; Recursive Feature Addition with Lagging Prediction Peephole Optimization obtained better testing accuracies than the gene selection method varSelRF.

  8. Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.

    Science.gov (United States)

    Alshamlan, Hala M; Badr, Ghada H; Alohali, Yousef A

    2015-06-01

    Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selection and classification problems. Artificial Bee Colony (ABC) is a relatively new swarm intelligence method. In this paper, we propose a new hybrid gene selection method, namely Genetic Bee Colony (GBC) algorithm. The proposed algorithm combines the used of a Genetic Algorithm (GA) along with Artificial Bee Colony (ABC) algorithm. The goal is to integrate the advantages of both algorithms. The proposed algorithm is applied to a microarray gene expression profile in order to select the most predictive and informative genes for cancer classification. In order to test the accuracy performance of the proposed algorithm, extensive experiments were conducted. Three binary microarray datasets are use, which include: colon, leukemia, and lung. In addition, another three multi-class microarray datasets are used, which are: SRBCT, lymphoma, and leukemia. Results of the GBC algorithm are compared with our recently proposed technique: mRMR when combined with the Artificial Bee Colony algorithm (mRMR-ABC). We also compared the combination of mRMR with GA (mRMR-GA) and Particle Swarm Optimization (mRMR-PSO) algorithms. In addition, we compared the GBC algorithm with other related algorithms that have been recently published in the literature, using all benchmark datasets. The GBC algorithm shows superior performance as it achieved the highest classification accuracy along with the lowest average number of selected genes. This proves that the GBC algorithm is a promising approach for solving the gene selection problem in both binary and multi-class cancer classification.

  9. Contribution of multiparameter flow cytometry immunophenotyping to the diagnostic screening and classification of pediatric cancer.

    Directory of Open Access Journals (Sweden)

    Cristiane S Ferreira-Facio

    Full Text Available Pediatric cancer is a relatively rare and heterogeneous group of hematological and non-hematological malignancies which require multiple procedures for its diagnostic screening and classification. Until now, flow cytometry (FC has not been systematically applied to the diagnostic work-up of such malignancies, particularly for solid tumors. Here we evaluated a FC panel of markers for the diagnostic screening of pediatric cancer and further classification of pediatric solid tumors. The proposed strategy aims at the differential diagnosis between tumoral vs. reactive samples, and hematological vs. non-hematological malignancies, and the subclassification of solid tumors. In total, 52 samples from 40 patients suspicious of containing tumor cells were analyzed by FC in parallel to conventional diagnostic procedures. The overall concordance rate between both approaches was of 96% (50/52 diagnostic samples, with 100% agreement for all reactive/inflammatory and non-infiltrated samples as well as for those corresponding to solid tumors (n = 35, with only two false negative cases diagnosed with Hodgkin lymphoma and anaplastic lymphoma, respectively. Moreover, clear discrimination between samples infiltrated by hematopoietic vs. non-hematopoietic tumor cells was systematically achieved. Distinct subtypes of solid tumors showed different protein expression profiles, allowing for the differential diagnosis of neuroblastoma (CD56(hi/GD2(+/CD81(hi, primitive neuroectodermal tumors (CD271(hi/CD99(+, Wilms tumors (>1 cell population, rhabdomyosarcoma (nuMYOD1(+/numyogenin(+, carcinomas (CD45(-/EpCAM(+, germ cell tumors (CD56(+/CD45(-/NG2(+/CD10(+ and eventually also hemangiopericytomas (CD45(-/CD34(+. In summary, our results show that multiparameter FC provides fast and useful complementary data to routine histopathology for the diagnostic screening and classification of pediatric cancer.

  10. Molecular classification of familial non-BRCA1/BRCA2 breast cancer.

    Science.gov (United States)

    Hedenfalk, Ingrid; Ringner, Markus; Ben-Dor, Amir; Yakhini, Zohar; Chen, Yidong; Chebil, Gunilla; Ach, Robert; Loman, Niklas; Olsson, Håkan; Meltzer, Paul; Borg, Ake; Trent, Jeffrey

    2003-03-01

    In the decade since their discovery, the two major breast cancer susceptibility genes BRCA1 and BRCA2, have been shown conclusively to be involved in a significant fraction of families segregating breast and ovarian cancer. However, it has become equally clear that a large proportion of families segregating breast cancer alone are not caused by mutations in BRCA1 or BRCA2. Unfortunately, despite intensive effort, the identification of additional breast cancer predisposition genes has so far been unsuccessful, presumably because of genetic heterogeneity, low penetrance, or recessive/polygenic mechanisms. These non-BRCA1/2 breast cancer families (termed BRCAx families) comprise a histopathologically heterogeneous group, further supporting their origin from multiple genetic events. Accordingly, the identification of a method to successfully subdivide BRCAx families into recognizable groups could be of considerable value to further genetic analysis. We have previously shown that global gene expression analysis can identify unique and distinct expression profiles in breast tumors from BRCA1 and BRCA2 mutation carriers. Here we show that gene expression profiling can discover novel classes among BRCAx tumors, and differentiate them from BRCA1 and BRCA2 tumors. Moreover, microarray-based comparative genomic hybridization (CGH) to cDNA arrays revealed specific somatic genetic alterations within the BRCAx subgroups. These findings illustrate that, when gene expression-based classifications are used, BRCAx families can be grouped into homogeneous subsets, thereby potentially increasing the power of conventional genetic analysis.

  11. 乳腺癌的分子分型%Molecular classification of breast cancer

    Institute of Scientific and Technical Information of China (English)

    张百红; 岳红云

    2014-01-01

    乳腺癌是一种分子水平异质性很高的疾病,分子分型可为乳腺癌的个体化治疗提供一个新视野.在分子病理学、分子生物学和系统生物学指导下,乳腺癌经历了4类分型、70种和21种基因蛋白谱以及基因组整合分类等不同分型.这些分型将为乳腺癌的精确治疗提供指导.%Breast cancer is a group of heterogeneous diseases.Molecular portraits provide a new insight for personalized cancer management in breast cancer.According to the molecular pathology,molecular biology and system biology,breast cancer goes through different typing methods,including four subclasses,geneexpression signature and integrated genomic classification.These major subtypes of breast cancer may provide guidance for precise therapeutics.

  12. Bulk Chemical Composition of the Ningqiang Carbonaceous Chondrite:An Issue of Classification

    Institute of Scientific and Technical Information of China (English)

    WANG Guiqin; LIN Yangting

    2007-01-01

    The Ningqiang meteorite is a fall carbonaceous chondrite, containing various Ca-, Al-rich inclusions that usually escaped from secondary events such as high-temperature heating and lowtemperature alteration. However, it has not yet been classified into any known chemical group. In order to address this issue, 41 elements of the bulk Ningqiang meteorite were analyzed using inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma atom emission spectrometry (ICP-AES) in this study. The Allende (CV3) carbonaceous chondrite and the Jilin (H5)ordinary chondrite were also measured as references, and our analyses are consistent with the previous results. Rare earth and other refractory lithophile elements are depleted in Ningqiang relative to both Allende and mean CK chondrites. In addition, the REE pattern of Ningqiang is nearly flat, while that of Allende shows slight enrichment of LREE relative to HREE. Siderophile elements of Ningqiang are close to those of mean CK chondrites, but lower than those of Allende. Our new analyses indicate that Ningqiang cannot be classified into any known group of carbonaceous chondrites, consistent with previous reports.

  13. Gastric Cancer Risk Analysis in Unhealthy Habits Data with Classification Algorithms

    OpenAIRE

    2015-01-01

    Data mining methods are applied to a medical task that seeks for the information about the influence of Helicobacter Pylori on the gastric cancer risk increase by analysing the adverse factors of individual lifestyle. In the process of data pre-processing, the data are cleared of noise and other factors, reduced in dimensionality, as well as transformed for the task and cleared of non-informative attributes. Data classification using C4.5, CN2 and k-nearest neighbour algorithms is carried out...

  14. Captan: transition from 'B2' to 'not likely'. How pesticide registrants affected the EPA Cancer Classification Update.

    Science.gov (United States)

    Gordon, Elliot

    2007-01-01

    On 24 November 2004 EPA changed the cancer classification of captan from a 'probable human carcinogen' (Category B2) to 'not likely' when used according to label directions. The new cancer classification considers captan to be a potential carcinogen at prolonged high doses that cause cytotoxicity and regenerative cell hyperplasia. These high doses of captan are many orders of magnitude above those likely to be consumed in the diet, or encountered by individuals in occupational or residential settings. This revised cancer classification reflects EPA's implementation of their new cancer guidelines. The procedures involved in the reclassification effort were agreed upon with EPA and involved an Independent Transparent Review as it related to four components that formed the basis of the original 1986 B2 classification: mouse tumors; rat tumors; mutagenicity; and structural similarity to other carcinogens. A Peer Review Panel organized and administered by Toxicology Excellence for Risk Assessment (TERA) met on 2-3 September 2003. The Panel concluded that captan acted through a non-mutagenic threshold mode of action that required prolonged irritation of the duodenal villi as the initial key event. EPA's Cancer Assessment Review Committee (CARC) met on 9 June 2004 and endorsed the Peer Review findings. EPA intended to have the FIFRA Scientific Advisory Panel (SAP) consider the basis for this reclassification but found the science was robust and judged that a SAP review was not warranted. Using the revised classification, the margin of exposure is approximately 1,200,000, supporting the 'not likely' characterization.

  15. Issues and challenges in implementing cervical cancer screenings in the emergence of HPV vaccination in Thailand.

    Science.gov (United States)

    Juntasopeepun, Phanida; Davidson, Patricia M; Srisomboon, Jatupol

    2012-01-01

    The discovery of the HPV vaccine has been a major breakthrough in preventing cervical cancer and other HPV-related diseases around the globe. Cervical cancer is a significant public health problem in Thailand. Despite the long-time availability of cervical cancer screening programs in Thailand, the uptake among the target female population remains low. HPV vaccines were approved by the Food and Drug Administration of Thailand in 2007. As of March 2011, due to financial limitations, HPV vaccines have still not been included in the national immunization program under the public health benefit plans although individuals has the option to pay privately for the vaccine. This paper discusses the issues and challenges in implementing cervical cancer screening programs in the era of HPV vaccination in Thailand. Recommendations to increase the uptake of cervical cancer screening and further research to inform a policy regarding the cervical cancer screening measures are proposed.

  16. A review on biomass classification and composition, cofiring issues and pretreatment methods

    Energy Technology Data Exchange (ETDEWEB)

    Jaya Shankar Tumuluru; Shahab Sokhansanj; Christopher T. Wright; Richard D. Boardman

    2011-08-01

    Presently around the globe there is a significant interest in using biomass for power generation as power generation from coal continues to raise environmental concerns. Biomass alone can be used for generation of power which can bring lot of environmental benefits. However the constraints of using biomass alone can include high investments costs for biomass feed systems and also uncertainty in the security of the feedstock supply due to seasonal variations and in most of the countries biomass is dispersed and the infrastructure for biomass supply is not well established. Alternatively cofiring biomass along with coal offer advantages like (a) reducing the issues related to biomass quality and buffers the system when there is insufficient feedstock quantity and (b) costs of adapting the existing coal power plants will be lower than building new systems dedicated only to biomass. However with the above said advantages there exists some technical constrains including low heating and energy density values, low bulk density, lower grindability index, higher moisture and ash content to successfully cofire biomass with coal. In order to successfully cofire biomass with coal, biomass feedstock specifications need to be established to direct pretreatment options that may include increasing the energy density, bulk density, stability during storage and grindability. Impacts on particle transport systems, flame stability, pollutant formation and boiler tube fouling/corrosion must also be minimized by setting feedstock specifications including composition and blend ratios if necessary. Some of these limitations can be overcome by using pretreatment methods. This paper discusses the impact of feedstock pretreatment methods like sizing, baling, pelletizing, briquetting, washing/leaching, torrefaction, torrefaction and pelletization and steam explosion in attainment of optimum feedstock characteristics to successfully cofire biomass with coal.

  17. Critical issues on opioids in chronic non-cancer pain

    DEFF Research Database (Denmark)

    Eriksen, Jørgen; Sjøgren, Per; Bruera, Eduardo

    2006-01-01

    quality of life (SF-36), use of the health care system, functional capabilities, satisfaction with medical pain treatment and regular or continuous use of medications. Participants reporting pain were divided into opioid and non-opioid users. The analyses were adjusted for age, gender, concomitant use...... random sample of 16,684 individuals (>16 years of age), 10,066 took part in an interview and completed a self-administered questionnaire. Cancer patients were excluded. The interview and the self-administered questionnaire included questions on chronic/long-lasting pain (>6 months), health-related...

  18. Survival of patients with nonseminomatous germ cell cancer: a review of the IGCC classification by Cox regression and recursive partitioning.

    Science.gov (United States)

    van Dijk, M R; Steyerberg, E W; Stenning, S P; Dusseldorp, E; Habbema, J D F

    2004-03-22

    The International Germ Cell Consensus (IGCC) classification identifies good, intermediate and poor prognosis groups among patients with metastatic nonseminomatous germ cell tumours (NSGCT). It uses the risk factors primary site, presence of nonpulmonary visceral metastases and tumour markers alpha-fetoprotein (AFP), human chorionic gonadotrophin (HCG) and lactic dehydrogenase (LDH). The IGCC classification is easy to use and remember, but lacks flexibility. We aimed to examine the extent of any loss in discrimination within the IGCC classification in comparison with alternative modelling by formal weighing of the risk factors. We analysed survival of 3048 NSGCT patients with Cox regression and recursive partitioning for alternative classifications. Good, intermediate and poor prognosis groups were based on predicted 5-year survival. Classifications were further refined by subgrouping within the poor prognosis group. Performance was measured primarily by a bootstrap corrected c-statistic to indicate discriminative ability for future patients. The weights of the risk factors in the alternative classifications differed slightly from the implicit weights in the IGCC classification. Discriminative ability, however, did not increase clearly (IGCC classification, c=0.732; Cox classification, c=0.730; Recursive partitioning classification, c=0.709). Three subgroups could be identified within the poor prognosis groups, resulting in classifications with five prognostic groups and slightly better discriminative ability (c=0.740). In conclusion, the IGCC classification in three prognostic groups is largely supported by Cox regression and recursive partitioning. Cox regression was the most promising tool to define a more refined classification. British Journal of Cancer (2004) 90, 1176-1183. doi:10.1038/sj.bjc.6601665 www.bjcancer.com Published online 24 February 2004

  19. Geochemical assessments and classification of coal mine spoils for better understanding of potential salinity issues at closure.

    Science.gov (United States)

    Park, Jin Hee; Li, Xiaofang; Edraki, Mansour; Baumgartl, Thomas; Kirsch, Bernie

    2013-06-01

    Coal mining wastes in the form of spoils, rejects and tailings deposited on a mine lease can cause various environmental issues including contamination by toxic metals, acid mine drainage and salinity. Dissolution of salt from saline mine spoil, in particular, during rainfall events may result in local or regional dispersion of salts through leaching or in the accumulation of dissolved salts in soil pore water and inhibition of plant growth. The salinity in coal mine environments is from the geogenic salt accumulations and weathering of spoils upon surface exposure. The salts are mainly sulfates and chlorides of calcium, magnesium and sodium. The objective of the research is to investigate and assess the source and mobility of salts and trace elements in various spoil types, thereby predicting the leaching behavior of the salts and trace elements from spoils which have similar geochemical properties. X-ray diffraction analysis, total digestion, sequential extraction and column experiments were conducted to achieve the objectives. Sodium and chloride concentrations best represented salinity of the spoils, which might originate from halite. Electrical conductivity, sodium and chloride concentrations in the leachate decreased sharply with increasing leaching cycles. Leaching of trace elements was not significant in the studied area. Geochemical classification of spoil/waste defined for rehabilitation purposes was useful to predict potential salinity, which corresponded with the classification from cluster analysis based on leaching data of major elements. Certain spoil groups showed high potential salinity by releasing high sodium and chloride concentrations. Therefore, the leaching characteristics of sites having saline susceptible spoils require monitoring, and suitable remediation technologies have to be applied.

  20. Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification

    CERN Document Server

    Bouaynaya, Nidhal; Schonfeld, Dan

    2009-01-01

    We propose a new model-based computer-aided diagnosis (CAD) system for tumor detection and classification (cancerous v.s. benign) in breast images. Specifically, we show that (x-ray, ultrasound and MRI) images can be accurately modeled by two-dimensional autoregressive-moving average (ARMA) random fields. We derive a two-stage Yule-Walker Least-Squares estimates of the model parameters, which are subsequently used as the basis for statistical inference and biophysical interpretation of the breast image. We use a k-means classifier to segment the breast image into three regions: healthy tissue, benign tumor, and cancerous tumor. Our simulation results on ultrasound breast images illustrate the power of the proposed approach.

  1. Classification moléculaire du cancer du sein au Maroc

    OpenAIRE

    Fouad, Abbass; Yousra, Akasbi; Kaoutar, Znati; Omar, El Mesbahi; Afaf, Amarti; Sanae, Bennis

    2012-01-01

    Introduction La classification moléculaire des cancers du sein basée sur l'expression génique puis sur le profil protéique a permis de distinguer cinq groupes moléculaires: luminal A, luminal B, Her2/neu, basal-like et non-classées. L'objectif de cette étude réalisée au CHU Hassan II de Fès est de classer 335 cancers du sein infiltrant en groupes moléculaires, puis de les corréler avec les caractéristiques clinicopathologiques. Méthodes Etude rétrospective étalée sur 45 mois, comportant 335 p...

  2. Statistical Analysis of Tissue Images for Detection and Classification of Cervical Cancer

    CERN Document Server

    Jagtap, Jaidip; Pandey, Kiran; Agarwa, Asha; Panigrahi, Prasanta K; Pradhan, Asima

    2011-01-01

    Cervical cancer is one of the major health threats in women worldwide. The current "gold standard" for detecting cancer of the epithelial tissue is the histopathology analysis of biopsy samples. However it relies on the pathologist's judgment of the disease. We investigate the utility of statistical parameters as a potential tool for detection and discrimination of the stages of dysplasia. Digital images of the tissue slides are captured with the help of a digital camera plugged to a microscope. Statistical data analysis is performed with the help of software to evaluate parameters such as mean, maxima, full width half maxima, skewness, kurtosis etc. for the images. We believe that these parameters can help effectively to improve the diagnosis and further classify normal and abnormal tissue sections. These parameters can be used independently as well as in tandem with other parameters as features in classification algorithms that involve the use of Neural networks or Principal component analysis.

  3. Ask The Experts: Critical issues in cancer pain management.

    Science.gov (United States)

    Sabatowski, Rainer

    2012-05-01

    Rainer Sabatowski qualified as anesthesiologist in 1995 and as pain specialist in 2003. He was head of a pain clinic at the University of Cologne, Germany, from 2002 to 2007. Since 2007 he has been head of the Comprehensive Pain Center at the University Hospital "Carl Gustav Carus" at the Technical University Dresden (Germany). This is an integrated center with a focus on cancer pain management in cooperation with the Comprehensive Cancer Center (UCC) and multimodal programs for the treatment of chronic noncancer pain patients. He performed several studies on the topic of the impact of opioids on cognitive and psychomotor function and worked as an external consultant of the European Driving under the Influence of Drugs, Alcohol and Medicines (DRUID) project. Currently his team works on - among other topics - spouses' impact on the chronification processes in noncancer pain patients and on the implementation and evaluation of multimodal pain management programs for different pain populations, as well as in different clinical settings. He has spoken at many national and international pain meetings and was scientific chair of the 8th Palliative Care Congress of the German Society of Palliative Care in Dresden in 2010. He has published over 100 papers and book chapters and is on the editorial board of several pain journals. He is also a member of the advisory board of the German IASP chapter and works in several focus groups of this pain society.

  4. Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability

    Directory of Open Access Journals (Sweden)

    van de Vijver Marc J

    2008-08-01

    Full Text Available Abstract Background Michiels et al. (Lancet 2005; 365: 488–92 employed a resampling strategy to show that the genes identified as predictors of prognosis from resamplings of a single gene expression dataset are highly variable. The genes most frequently identified in the separate resamplings were put forward as a 'gold standard'. On a higher level, breast cancer datasets collected by different institutions can be considered as resamplings from the underlying breast cancer population. The limited overlap between published prognostic signatures confirms the trend of signature instability identified by the resampling strategy. Six breast cancer datasets, totaling 947 samples, all measured on the Affymetrix platform, are currently available. This provides a unique opportunity to employ a substantial dataset to investigate the effects of pooling datasets on classifier accuracy, signature stability and enrichment of functional categories. Results We show that the resampling strategy produces a suboptimal ranking of genes, which can not be considered to be a 'gold standard'. When pooling breast cancer datasets, we observed a synergetic effect on the classification performance in 73% of the cases. We also observe a significant positive correlation between the number of datasets that is pooled, the validation performance, the number of genes selected, and the enrichment of specific functional categories. In addition, we have evaluated the support for five explanations that have been postulated for the limited overlap of signatures. Conclusion The limited overlap of current signature genes can be attributed to small sample size. Pooling datasets results in more accurate classification and a convergence of signature genes. We therefore advocate the analysis of new data within the context of a compendium, rather than analysis in isolation.

  5. Classification of lung cancer tumors based on structural and physicochemical properties of proteins by bioinformatics models.

    Science.gov (United States)

    Hosseinzadeh, Faezeh; Ebrahimi, Mansour; Goliaei, Bahram; Shamabadi, Narges

    2012-01-01

    Rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important in diagnosis of this disease. Furthermore sequence-derived structural and physicochemical descriptors are very useful for machine learning prediction of protein structural and functional classes, classifying proteins and the prediction performance. Herein, in this study is the classification of lung tumors based on 1497 attributes derived from structural and physicochemical properties of protein sequences (based on genes defined by microarray analysis) investigated through a combination of attribute weighting, supervised and unsupervised clustering algorithms. Eighty percent of the weighting methods selected features such as autocorrelation, dipeptide composition and distribution of hydrophobicity as the most important protein attributes in classification of SCLC, NSCLC and COMMON classes of lung tumors. The same results were observed by most tree induction algorithms while descriptors of hydrophobicity distribution were high in protein sequences COMMON in both groups and distribution of charge in these proteins was very low; showing COMMON proteins were very hydrophobic. Furthermore, compositions of polar dipeptide in SCLC proteins were higher than NSCLC proteins. Some clustering models (alone or in combination with attribute weighting algorithms) were able to nearly classify SCLC and NSCLC proteins. Random Forest tree induction algorithm, calculated on leaves one-out and 10-fold cross validation) shows more than 86% accuracy in clustering and predicting three different lung cancer tumors. Here for the first time the application of data mining tools to effectively classify three classes of lung cancer tumors regarding the importance of dipeptide composition, autocorrelation and distribution descriptor has been reported.

  6. Classification of lung cancer tumors based on structural and physicochemical properties of proteins by bioinformatics models.

    Directory of Open Access Journals (Sweden)

    Faezeh Hosseinzadeh

    Full Text Available Rapid distinction between small cell lung cancer (SCLC and non-small cell lung cancer (NSCLC tumors is very important in diagnosis of this disease. Furthermore sequence-derived structural and physicochemical descriptors are very useful for machine learning prediction of protein structural and functional classes, classifying proteins and the prediction performance. Herein, in this study is the classification of lung tumors based on 1497 attributes derived from structural and physicochemical properties of protein sequences (based on genes defined by microarray analysis investigated through a combination of attribute weighting, supervised and unsupervised clustering algorithms. Eighty percent of the weighting methods selected features such as autocorrelation, dipeptide composition and distribution of hydrophobicity as the most important protein attributes in classification of SCLC, NSCLC and COMMON classes of lung tumors. The same results were observed by most tree induction algorithms while descriptors of hydrophobicity distribution were high in protein sequences COMMON in both groups and distribution of charge in these proteins was very low; showing COMMON proteins were very hydrophobic. Furthermore, compositions of polar dipeptide in SCLC proteins were higher than NSCLC proteins. Some clustering models (alone or in combination with attribute weighting algorithms were able to nearly classify SCLC and NSCLC proteins. Random Forest tree induction algorithm, calculated on leaves one-out and 10-fold cross validation shows more than 86% accuracy in clustering and predicting three different lung cancer tumors. Here for the first time the application of data mining tools to effectively classify three classes of lung cancer tumors regarding the importance of dipeptide composition, autocorrelation and distribution descriptor has been reported.

  7. Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Maolong Xi

    2016-01-01

    Full Text Available This paper focuses on the feature gene selection for cancer classification, which employs an optimization algorithm to select a subset of the genes. We propose a binary quantum-behaved particle swarm optimization (BQPSO for cancer feature gene selection, coupling support vector machine (SVM for cancer classification. First, the proposed BQPSO algorithm is described, which is a discretized version of original QPSO for binary 0-1 optimization problems. Then, we present the principle and procedure for cancer feature gene selection and cancer classification based on BQPSO and SVM with leave-one-out cross validation (LOOCV. Finally, the BQPSO coupling SVM (BQPSO/SVM, binary PSO coupling SVM (BPSO/SVM, and genetic algorithm coupling SVM (GA/SVM are tested for feature gene selection and cancer classification on five microarray data sets, namely, Leukemia, Prostate, Colon, Lung, and Lymphoma. The experimental results show that BQPSO/SVM has significant advantages in accuracy, robustness, and the number of feature genes selected compared with the other two algorithms.

  8. Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine.

    Science.gov (United States)

    Xi, Maolong; Sun, Jun; Liu, Li; Fan, Fangyun; Wu, Xiaojun

    2016-01-01

    This paper focuses on the feature gene selection for cancer classification, which employs an optimization algorithm to select a subset of the genes. We propose a binary quantum-behaved particle swarm optimization (BQPSO) for cancer feature gene selection, coupling support vector machine (SVM) for cancer classification. First, the proposed BQPSO algorithm is described, which is a discretized version of original QPSO for binary 0-1 optimization problems. Then, we present the principle and procedure for cancer feature gene selection and cancer classification based on BQPSO and SVM with leave-one-out cross validation (LOOCV). Finally, the BQPSO coupling SVM (BQPSO/SVM), binary PSO coupling SVM (BPSO/SVM), and genetic algorithm coupling SVM (GA/SVM) are tested for feature gene selection and cancer classification on five microarray data sets, namely, Leukemia, Prostate, Colon, Lung, and Lymphoma. The experimental results show that BQPSO/SVM has significant advantages in accuracy, robustness, and the number of feature genes selected compared with the other two algorithms.

  9. An overview of pregnancy and fertility issues in breast cancer patients.

    Science.gov (United States)

    Dabrosin, Charlotta

    2015-01-01

    Breast cancer is one of the most common malignancies of women in the reproductive years. In the Western world there is a trend towards delaying pregnancy to later in life, and in combination with an increased incidence of breast cancer an increased number of women are diagnosed with breast cancer before they have completed their reproductive plans. In addition, breast cancer during pregnancy may affect an increased number of women as the childbearing years are delayed. The survival rate after breast cancer has improved during the last decades, and many young breast cancer survivors will consider a pregnancy subsequent to the completion of adjuvant breast cancer therapy. Traditionally, many women are advised against a pregnancy due to a fear of increased risk of recurrence, especially women with estrogen receptor-positive breast cancer. Due to feasibility issues, evidence from large prospective randomized trials is missing regarding the safety of pregnancy after breast cancer. Today guidelines are based on cohort studies and population-based registry evidence with its limitations. Overall, data suggest that pregnancy after breast cancer therapy is safe, and the current evidence is summarized in this overview.

  10. Accurate and reliable cancer classification based on probabilistic inference of pathway activity.

    Directory of Open Access Journals (Sweden)

    Junjie Su

    Full Text Available With the advent of high-throughput technologies for measuring genome-wide expression profiles, a large number of methods have been proposed for discovering diagnostic markers that can accurately discriminate between different classes of a disease. However, factors such as the small sample size of typical clinical data, the inherent noise in high-throughput measurements, and the heterogeneity across different samples, often make it difficult to find reliable gene markers. To overcome this problem, several studies have proposed the use of pathway-based markers, instead of individual gene markers, for building the classifier. Given a set of known pathways, these methods estimate the activity level of each pathway by summarizing the expression values of its member genes, and use the pathway activities for classification. It has been shown that pathway-based classifiers typically yield more reliable results compared to traditional gene-based classifiers. In this paper, we propose a new classification method based on probabilistic inference of pathway activities. For a given sample, we compute the log-likelihood ratio between different disease phenotypes based on the expression level of each gene. The activity of a given pathway is then inferred by combining the log-likelihood ratios of the constituent genes. We apply the proposed method to the classification of breast cancer metastasis, and show that it achieves higher accuracy and identifies more reproducible pathway markers compared to several existing pathway activity inference methods.

  11. Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.

    Directory of Open Access Journals (Sweden)

    Laetitia Marisa

    Full Text Available BACKGROUND: Colon cancer (CC pathological staging fails to accurately predict recurrence, and to date, no gene expression signature has proven reliable for prognosis stratification in clinical practice, perhaps because CC is a heterogeneous disease. The aim of this study was to establish a comprehensive molecular classification of CC based on mRNA expression profile analyses. METHODS AND FINDINGS: Fresh-frozen primary tumor samples from a large multicenter cohort of 750 patients with stage I to IV CC who underwent surgery between 1987 and 2007 in seven centers were characterized for common DNA alterations, including BRAF, KRAS, and TP53 mutations, CpG island methylator phenotype, mismatch repair status, and chromosomal instability status, and were screened with whole genome and transcriptome arrays. 566 samples fulfilled RNA quality requirements. Unsupervised consensus hierarchical clustering applied to gene expression data from a discovery subset of 443 CC samples identified six molecular subtypes. These subtypes were associated with distinct clinicopathological characteristics, molecular alterations, specific enrichments of supervised gene expression signatures (stem cell phenotype-like, normal-like, serrated CC phenotype-like, and deregulated signaling pathways. Based on their main biological characteristics, we distinguished a deficient mismatch repair subtype, a KRAS mutant subtype, a cancer stem cell subtype, and three chromosomal instability subtypes, including one associated with down-regulated immune pathways, one with up-regulation of the Wnt pathway, and one displaying a normal-like gene expression profile. The classification was validated in the remaining 123 samples plus an independent set of 1,058 CC samples, including eight public datasets. Furthermore, prognosis was analyzed in the subset of stage II-III CC samples. The subtypes C4 and C6, but not the subtypes C1, C2, C3, and C5, were independently associated with shorter relapse

  12. A Novel Prostate Cancer Classification Technique Using Intermediate Memory Tabu Search

    Directory of Open Access Journals (Sweden)

    Tahir Muhammad Atif

    2005-01-01

    Full Text Available The introduction of multispectral imaging in pathology problems such as the identification of prostatic cancer is recent. Unlike conventional RGB color space, it allows the acquisition of a large number of spectral bands within the visible spectrum. This results in a feature vector of size greater than 100. For such a high dimensionality, pattern recognition techniques suffer from the well-known curse of dimensionality problem. The two well-known techniques to solve this problem are feature extraction and feature selection. In this paper, a novel feature selection technique using tabu search with an intermediate-term memory is proposed. The cost of a feature subset is measured by leave-one-out correct-classification rate of a nearest-neighbor (1-NN classifier. The experiments have been carried out on the prostate cancer textured multispectral images and the results have been compared with a reported classical feature extraction technique. The results have indicated a significant boost in the performance both in terms of minimizing features and maximizing classification accuracy.

  13. The Evaluation of Microcarcinoma in Differentiated Thyroid Cancers According to Old and New TNM Classification

    Directory of Open Access Journals (Sweden)

    Zekiye Hasbek

    2011-12-01

    Full Text Available Objective: In this study, we aimed to evaluate the tumor size for proximal and distant metastases when the new and old TNM clas¬sification is taken into account in differentiated thyroid cancers. Material and Methods: Two hundred sixty eight patients diagnosed with thyroid carcinoma, undergoing bilateral total or subto¬tal thyroidectomy treated with high doses of I-131 were examined retrospectively. The data of these patients were compared after classification, according to tumor size 1 cm. In the same group, according to the revised TNM classification, in 149 of 207 patients (72% the tumor size was 2 cm. Of 187 patients with negative lymph nodes, 15 (8% showed abnormal activity accumulation in the first post I-131 treatment whole-body scan and 10 (40% of 25 patients positive lymph node (p<0.05 involvement. Conclusion: Since the treatment of patients with microcarcinoma is controversial, tumor size should not be the only factor consid¬ered in patients with differentiated thyroid cancer Tissue tumor invasion, age, gender and multifocality should also be taken into account. (MIRT2011;20:94-99

  14. [Postoperative results under the new stage classification of lung cancer: the additional reports for those of JACS in 1996].

    Science.gov (United States)

    Shirakusa, T

    2000-10-01

    This time, in 3008 lung cancer patients, the postoperative results were analyzed under the new stage grouping of TNM classification. All of those patients underwent the operation in 1989, and the 5 year-survival rates had beeb surveyed in 1996 by JACS (The Japanese Association for Chest Surgery). Under the new TNM classification established in 1996 worldwidey, T3N0M0 was transferred from IIIA to IIB. This report is the additional one in the focus of the results accompanied with the change of TNM classification.

  15. Identification of area-level influences on regions of high cancer incidence in Queensland, Australia: a classification tree approach

    Directory of Open Access Journals (Sweden)

    Mengersen Kerrie L

    2011-07-01

    Full Text Available Abstract Background Strategies for cancer reduction and management are targeted at both individual and area levels. Area-level strategies require careful understanding of geographic differences in cancer incidence, in particular the association with factors such as socioeconomic status, ethnicity and accessibility. This study aimed to identify the complex interplay of area-level factors associated with high area-specific incidence of Australian priority cancers using a classification and regression tree (CART approach. Methods Area-specific smoothed standardised incidence ratios were estimated for priority-area cancers across 478 statistical local areas in Queensland, Australia (1998-2007, n = 186,075. For those cancers with significant spatial variation, CART models were used to identify whether area-level accessibility, socioeconomic status and ethnicity were associated with high area-specific incidence. Results The accessibility of a person's residence had the most consistent association with the risk of cancer diagnosis across the specific cancers. Many cancers were likely to have high incidence in more urban areas, although male lung cancer and cervical cancer tended to have high incidence in more remote areas. The impact of socioeconomic status and ethnicity on these associations differed by type of cancer. Conclusions These results highlight the complex interactions between accessibility, socioeconomic status and ethnicity in determining cancer incidence risk.

  16. Gene Expression Profiles for Predicting Metastasis in Breast Cancer: A Cross-Study Comparison of Classification Methods

    Directory of Open Access Journals (Sweden)

    Mark Burton

    2012-01-01

    Full Text Available Machine learning has increasingly been used with microarray gene expression data and for the development of classifiers using a variety of methods. However, method comparisons in cross-study datasets are very scarce. This study compares the performance of seven classification methods and the effect of voting for predicting metastasis outcome in breast cancer patients, in three situations: within the same dataset or across datasets on similar or dissimilar microarray platforms. Combining classification results from seven classifiers into one voting decision performed significantly better during internal validation as well as external validation in similar microarray platforms than the underlying classification methods. When validating between different microarray platforms, random forest, another voting-based method, proved to be the best performing method. We conclude that voting based classifiers provided an advantage with respect to classifying metastasis outcome in breast cancer patients.

  17. [WHO classification 2016 and first S3 guidelines on renal cell cancer: What is important for the practice?].

    Science.gov (United States)

    Moch, H

    2016-03-01

    The first S3 guidelines on renal cell cancer cover the practical aspects of imaging, diagnostics and therapy as well as the clinical relevance of pathology reporting. This review summarizes the changes in renal tumor classification and the new recommendations for reporting renal cell tumors. The S3 guidelines recommend the 2016 World Health Organization (WHO) classification of renal cell tumors. Novel renal cell tumor entities and provisional or emerging renal cell tumor entities of the 2016 WHO classification of renal tumors are discussed. The S3 guidelines for renal cell cancer also recommend the use of the WHO/International Society of Urologic Pathology (ISUP) grading system for clear cell and for papillary renal cell carcinomas, which replaces the previously used Fuhrman grading system.

  18. Finding Combination of Features from Promoter Regions for Ovarian Cancer-related Gene Group Classification

    KAUST Repository

    Olayan, Rawan S.

    2012-12-01

    In classification problems, it is always important to use the suitable combination of features that will be employed by classifiers. Generating the right combination of features usually results in good classifiers. In the situation when the problem is not well understood, data items are usually described by many features in the hope that some of these may be the relevant or most relevant ones. In this study, we focus on one such problem related to genes implicated in ovarian cancer (OC). We try to recognize two important OC-related gene groups: oncogenes, which support the development and progression of OC, and oncosuppressors, which oppose such tendencies. For this, we use the properties of promoters of these genes. We identified potential “regulatory features” that characterize OC-related oncogenes and oncosuppressors promoters. In our study, we used 211 oncogenes and 39 oncosuppressors. For these, we identified 538 characteristic sequence motifs from their promoters. Promoters are annotated by these motifs and derived feature vectors used to develop classification models. We made a comparison of a number of classification models in their ability to distinguish oncogenes from oncosuppressors. Based on 10-fold cross-validation, the resultant model was able to separate the two classes with sensitivity of 96% and specificity of 100% with the complete set of features. Moreover, we developed another recognition model where we attempted to distinguish oncogenes and oncosuppressors as one group from other OC-related genes. That model achieved accuracy of 82%. We believe that the results of this study will help in discovering other OC-related oncogenes and oncosuppressors not identified as yet.

  19. Reliable classification of two-class cancer data using evolutionary algorithms.

    Science.gov (United States)

    Deb, Kalyanmoy; Raji Reddy, A

    2003-11-01

    In the area of bioinformatics, the identification of gene subsets responsible for classifying available disease samples to two or more of its variants is an important task. Such problems have been solved in the past by means of unsupervised learning methods (hierarchical clustering, self-organizing maps, k-mean clustering, etc.) and supervised learning methods (weighted voting approach, k-nearest neighbor method, support vector machine method, etc.). Such problems can also be posed as optimization problems of minimizing gene subset size to achieve reliable and accurate classification. The main difficulties in solving the resulting optimization problem are the availability of only a few samples compared to the number of genes in the samples and the exorbitantly large search space of solutions. Although there exist a few applications of evolutionary algorithms (EAs) for this task, here we treat the problem as a multiobjective optimization problem of minimizing the gene subset size and minimizing the number of misclassified samples. Moreover, for a more reliable classification, we consider multiple training sets in evaluating a classifier. Contrary to the past studies, the use of a multiobjective EA (NSGA-II) has enabled us to discover a smaller gene subset size (such as four or five) to correctly classify 100% or near 100% samples for three cancer samples (Leukemia, Lymphoma, and Colon). We have also extended the NSGA-II to obtain multiple non-dominated solutions discovering as much as 352 different three-gene combinations providing a 100% correct classification to the Leukemia data. In order to have further confidence in the identification task, we have also introduced a prediction strength threshold for determining a sample's belonging to one class or the other. All simulation results show consistent gene subset identifications on three disease samples and exhibit the flexibilities and efficacies in using a multiobjective EA for the gene subset identification task.

  20. Long-term Prostate-specific Antigen Velocity in Improved Classification of Prostate Cancer Risk and Mortality

    DEFF Research Database (Denmark)

    Ørsted, David Dynnes; Bojesen, Stig E; Kamstrup, Pia R;

    2013-01-01

    BACKGROUND: It remains unclear whether adding long-term prostate-specific antigen velocity (PSAV) to baseline PSA values improves classification of prostate cancer (PCa) risk and mortality in the general population. OBJECTIVE: To determine whether long-term PSAV improves classification of PCa risk...... classification was assessed using the net reclassification index (NRI). RESULTS: Age-adjusted hazard ratios for PCa risk and mortality were 2.7-5.3 and 2.3-3.4, respectively, for long-term PSAV when added to models already including baseline PSA values. For PCa risk and mortality, adding long-term PSAV to models....... Correspondingly, inappropriately reclassified were 49 of 10 000 men with PCa and 1658 of 10 000 men with no PCa. CONCLUSIONS: Long-term PSAV in addition to baseline PSA value improves classification of PCa risk and mortality. Applying long-term PSAV nationwide, the ratio of appropriately to inappropriately...

  1. A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

    Directory of Open Access Journals (Sweden)

    Wang Lily

    2008-07-01

    Full Text Available Abstract Background Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular signatures on their way toward clinical deployment. Use of the most accurate classification algorithms available for microarray gene expression data is a critical ingredient in order to develop the best possible molecular signatures for patient care. As suggested by a large body of literature to date, support vector machines can be considered "best of class" algorithms for classification of such data. Recent work, however, suggests that random forest classifiers may outperform support vector machines in this domain. Results In the present paper we identify methodological biases of prior work comparing random forests and support vector machines and conduct a new rigorous evaluation of the two algorithms that corrects these limitations. Our experiments use 22 diagnostic and prognostic datasets and show that support vector machines outperform random forests, often by a large margin. Our data also underlines the importance of sound research design in benchmarking and comparison of bioinformatics algorithms. Conclusion We found that both on average and in the majority of microarray datasets, random forests are outperformed by support vector machines both in the settings when no gene selection is performed and when several popular gene selection methods are used.

  2. Barriers and facilitators for oncology nurses discussing sexual issues with men diagnosed with testicular cancer.

    LENUS (Irish Health Repository)

    Moore, Annamarie

    2013-01-02

    PURPOSE: Testicular cancer occurs at a time in a man\\'s life when major social life changes are occurring and when body image, fertility, sexual desire and performance can be central issues. Oncology nurses, as members of the multidisciplinary team, are in an ideal position to address men\\'s concerns. The aim of this study was to investigate oncology nurses\\' self-perceived knowledge and comfort in relation to discussing sexuality concerns with men diagnosed with testicular cancer and to identify the barriers and facilitators to such discussions. METHODS: This study employed a self-completion, anonymous survey design with a sample of registered nurses working in five, randomly chosen, oncology centres in Ireland. RESULTS: In total, 89 questionnaires (45% response rate) were included for analysis. Findings suggest that although nurses were open to addressing concerns, few informed patients they were available to discuss sexual concerns. Nurses reported lacking knowledge of, and discomfort in, discussing the more intimate aspects of sexuality, including: ejaculatory difficulties, erectile dysfunction, impotence, prosthesis options and testicular self examination. CONCLUSIONS: Findings reinforce the need for more comprehensive education on sexuality issues and testicular cancer. Nurses need to take a more proactive approach to sexuality care, as opposed to the \\'passive waiting stance\\' that permeates the current culture of care. Education programmes need to include specific information on sexual issues associated with testicular cancer, and oncology nurses must subsume sexuality as an essential aspect of their role through changes in policies and nursing care planning.

  3. Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices.

    Science.gov (United States)

    Munteanu, Cristian Robert; Magalhães, Alexandre L; Uriarte, Eugenio; González-Díaz, Humberto

    2009-03-21

    The cancer diagnostic is a complex process and, sometimes, the specific markers can interfere or produce negative results. Thus, new simple and fast theoretical models are required. One option is the complex network graphs theory that permits us to describe any real system, from the small molecules to the complex genetic, neural or social networks by transforming real properties in topological indices. This work converts the protein primary structure data in specific Randic's star networks topological indices using the new sequence to star networks (S2SNet) application. A set of 1054 proteins were selected from previous works and contains proteins related or not with two types of cancer, human breast cancer (HBC) and human colon cancer (HCC). The general discriminant analysis method generates an input-coded multi-target classification model with the training/predicting set accuracies of 90.0% for the forward stepwise model type. In addition, a protein subset was modified by single amino acid mutations with higher log-odds PAM250 values and tested with the new classification if can be related with HBC or HCC. In conclusion, we shown that, using simple input data such is the primary protein sequence and the simples linear analysis, it is possible to obtain accurate classification models that can predict if a new protein related with two types of cancer. These results promote the use of the S2SNet in clinical proteomics.

  4. Self-organizing maps classification of epidemiological data and toenail selenium content monitored on cancer and healthy patients from Poland.

    Science.gov (United States)

    Tsakovski, Stefan L; Zukowska, Joanna; Bode, Peter; Bizuk, Marek K; Kowalczyk, Anna

    2010-01-01

    This paper deals with epidemiological multivariate statistical analysis of cancer and health patients from Pomeranian and Lubuskie Voivodships, Poland. The anthropometric and epidemiologic data include 8 parameters: toenail selenium concentration, sex, age, body mass index (BMI), smoking status, taking of Se supplements, health state, and family history of cancer. The self-organizing maps (SOM) are used for simultaneous classification of parameters and patients with relation to cancer diagnosis. Three different patterns (groups) of patients with cancer diagnosis are outlined: (i) older, smoking men with low toenail selenium concentration; (ii) older smoking women with family relation to cancer and toenail selenium deficiency; (iii) middle, aged nonsmokers with high level of selenium toenail concentration. The simultaneous classification of parameters and patients makes it possible to determine discriminating parameters for each pattern and relations between parameters. The relation of each parameter to cancer disease is discussed as special attention is paid to toenail selenium deficiency. More than 80% of patients with cancer diagnosis possess toenail selenium deficiency, accompanied by old age and smoking.

  5. Patient-reported symptom distress, and most bothersome issues, before and during cancer treatment

    Directory of Open Access Journals (Sweden)

    Hong F

    2016-09-01

    Full Text Available Fangxin Hong,1,2 Traci M Blonquist,1 Barbara Halpenny,3 Donna L Berry,3,4 1Department of Biostatistics and Computational Biology, Dana‑Farber Cancer Institute, Boston, MA, USA;2Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA; 3Department of Nursing and Patient Care Services, The Phyllis F. Cantor Center, Dana-Farber Cancer Institute, Boston, MA, USA; 4Department of Medicine, Harvard Medical School, Boston, MA, USA Introduction: Frequently reported symptoms and treatment side effects may not be the most bothersome issues to patients with cancer. The purpose of this study was to investigate patient-reported symptom distress and bothersome issues among participants with cancer. Methods: Participants completed the Symptom Distress Scale-15 before treatment (T1 and during cancer treatment (T2 and reported up to two most bothersome issues among symptoms rated with moderate-to-severe distress. We compared symptom ratings and perceived bother and explored two approaches predicting patients’ most bothersome issues: worst absolute symptom score or worst change from pretreatment. Results: Significantly, (P≤0.0002 more patients reported moderate-to-severe distress at T2 for eight of 13 symptoms. At T1, 81% of patients reported one and 56% reported multiple symptoms with moderate-to-severe distress, while at T2, 89% reported one and 69% reported multiple symptoms with moderate-to-severe distress. Impact on sexual activity/interest, pain, fatigue, and insomnia were the most prevalent symptoms with moderate-to-severe distress. Fatigue, pain, and insomnia were perceived most often as bothersome. When one symptom was rated moderate-to-severe, predictive accuracy of the absolute score was 46% and 48% (T1 & T2 and 38% with the change score (T2–T1. When two or more symptoms were rated moderate-to-severe, predictive accuracy of the absolute score was 76% and 79% (T1 & T2 and 70% with the change score (T2–T1. Conclusion: More

  6. Automatic Classification of Normal and Cancer Lung CT Images Using Multiscale AM-FM Features.

    Science.gov (United States)

    Magdy, Eman; Zayed, Nourhan; Fakhr, Mahmoud

    2015-01-01

    Computer-aided diagnostic (CAD) systems provide fast and reliable diagnosis for medical images. In this paper, CAD system is proposed to analyze and automatically segment the lungs and classify each lung into normal or cancer. Using 70 different patients' lung CT dataset, Wiener filtering on the original CT images is applied firstly as a preprocessing step. Secondly, we combine histogram analysis with thresholding and morphological operations to segment the lung regions and extract each lung separately. Amplitude-Modulation Frequency-Modulation (AM-FM) method thirdly, has been used to extract features for ROIs. Then, the significant AM-FM features have been selected using Partial Least Squares Regression (PLSR) for classification step. Finally, K-nearest neighbour (KNN), support vector machine (SVM), naïve Bayes, and linear classifiers have been used with the selected AM-FM features. The performance of each classifier in terms of accuracy, sensitivity, and specificity is evaluated. The results indicate that our proposed CAD system succeeded to differentiate between normal and cancer lungs and achieved 95% accuracy in case of the linear classifier.

  7. Classification of samples into two or more ordered populations with application to a cancer trial.

    Science.gov (United States)

    Conde, D; Fernández, M A; Rueda, C; Salvador, B

    2012-12-10

    In many applications, especially in cancer treatment and diagnosis, investigators are interested in classifying patients into various diagnosis groups on the basis of molecular data such as gene expression or proteomic data. Often, some of the diagnosis groups are known to be related to higher or lower values of some of the predictors. The standard methods of classifying patients into various groups do not take into account the underlying order. This could potentially result in high misclassification rates, especially when the number of groups is larger than two. In this article, we develop classification procedures that exploit the underlying order among the mean values of the predictor variables and the diagnostic groups by using ideas from order-restricted inference. We generalize the existing methodology on discrimination under restrictions and provide empirical evidence to demonstrate that the proposed methodology improves over the existing unrestricted methodology. The proposed methodology is applied to a bladder cancer data set where the researchers are interested in classifying patients into various groups.

  8. Clinical classification of cancer cachexia: phenotypic correlates in human skeletal muscle.

    Directory of Open Access Journals (Sweden)

    Neil Johns

    Full Text Available BACKGROUND: Cachexia affects the majority of patients with advanced cancer and is associated with a reduction in treatment tolerance, response to therapy, and duration of survival. One impediment towards the effective treatment of cachexia is a validated classification system. METHODS: 41 patients with resectable upper gastrointestinal (GI or pancreatic cancer underwent characterisation for cachexia based on weight-loss (WL and/or low muscularity (LM. Four diagnostic criteria were used >5%WL, >10%WL, LM, and LM+>2%WL. All patients underwent biopsy of the rectus muscle. Analysis included immunohistochemistry for fibre size and type, protein and nucleic acid concentration, Western blots for markers of autophagy, SMAD signalling, and inflammation. FINDINGS: Compared with non-cachectic cancer patients, patients with LM or LM+>2%WL, mean muscle fibre diameter was reduced by about 25% (p = 0.02 and p = 0.001 respectively. No significant difference in fibre diameter was observed if patients had WL alone. Regardless of classification, there was no difference in fibre number or proportion of fibre type across all myosin heavy chain isoforms. Mean muscle protein content was reduced and the ratio of RNA/DNA decreased in patients with either >5%WL or LM+>2%WL. Compared with non-cachectic patients, SMAD3 protein levels were increased in patients with >5%WL (p = 0.022 and with >10%WL, beclin (p = 0.05 and ATG5 (p = 0.01 protein levels were increased. There were no differences in phospho-NFkB or phospho-STAT3 levels across any of the groups. CONCLUSION: Muscle fibre size, biochemical composition and pathway phenotype can vary according to whether the diagnostic criteria for cachexia are based on weight loss alone, a measure of low muscularity alone or a combination of the two. For intervention trials where the primary end-point is a change in muscle mass or function, use of combined diagnostic criteria may allow identification of a more

  9. Breast cancer surgery and diagnosis-related groups (DRGs): patient classification and hospital reimbursement in 11 European countries.

    Science.gov (United States)

    Scheller-Kreinsen, David; Quentin, Wilm; Geissler, Alexander; Busse, Reinhard

    2013-10-01

    Researchers from eleven countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Spain, and Sweden) compared how their DRG systems deal with breast cancer surgery patients. DRG algorithms and indicators of resource consumption were assessed for those DRGs that individually contain at least 1% of all breast cancer surgery patients. Six standardised case vignettes were defined and quasi prices according to national DRG-based hospital payment systems were ascertained. European DRG systems classify breast cancer surgery patients according to different sets of classification variables into three to seven DRGs. Quasi prices for an index case treated with partial mastectomy range from €577 in Poland to €5780 in the Netherlands. Countries award their highest payments for very different kinds of patients. Breast cancer specialists and national DRG authorities should consider how other countries' DRG systems classify breast cancer patients in order to identify potential scope for improvement and to ensure fair and appropriate reimbursement.

  10. Molecular phylogenetic perspectives for character classification and convergence: Framing some issues with nematode vulval appendages and telotylenchid tail termini

    Science.gov (United States)

    Characters flagged as convergent based on newer molecular phylogenetic trees inform both practical identification and more esoteric classification. Nematode morphological characters such as lateral lines, bullae and laciniae are quite independent structures from those similarly named in other organi...

  11. Editorial and introduction to Asian Journal of Andrology Prostate Cancer special issue

    Institute of Scientific and Technical Information of China (English)

    Roger Kirby; Shu-Jie Xia

    2009-01-01

    @@ This is a very special issue of the Asian Journal of Andrology (AJA),which has recently become a part of the Nature Publishing Group's stable.Prostate cancer is unquestionably the most controversial of all the solid malignancies,and we were both proud to be asked to serve as guest editors for this one-off publication.Accordingly,we have commissioned reviews from some of the best researchers and most experienced clinicians and combined these with state-of-the-art research papers.Prostate cancer is best regarded as a continuum,from the earliest microfoci of malignancy to hormone-relapsed disease,and in this special issue we have tried to cover as many aspects as possible of this progressive disease.

  12. Novel round-robin tabu search algorithm for prostate cancer classification and diagnosis using multispectral imagery.

    Science.gov (United States)

    Tahir, Muhammad Atif; Bouridane, Ahmed

    2006-10-01

    Quantitative cell imagery in cancer pathology has progressed greatly in the last 25 years. The application areas are mainly those in which the diagnosis is still critically reliant upon the analysis of biopsy samples, which remains the only conclusive method for making an accurate diagnosis of the disease. Biopsies are usually analyzed by a trained pathologist who, by analyzing the biopsies under a microscope, assesses the normality or malignancy of the samples submitted. Different grades of malignancy correspond to different structural patterns as well as to apparent textures. In the case of prostate cancer, four major groups have to be recognized: stroma, benign prostatic hyperplasia, prostatic intraepithelial neoplasia, and prostatic carcinoma. Recently, multispectral imagery has been used to solve this multiclass problem. Unlike conventional RGB color space, multispectral images allow the acquisition of a large number of spectral bands within the visible spectrum, resulting in a large feature vector size. For such a high dimensionality, pattern recognition techniques suffer from the well-known "curse-of-dimensionality" problem. This paper proposes a novel round-robin tabu search (RR-TS) algorithm to address the curse-of-dimensionality for this multiclass problem. The experiments have been carried out on a number of prostate cancer textured multispectral images, and the results obtained have been assessed and compared with previously reported works. The system achieved 98%-100% classification accuracy when testing on two datasets. It outperformed principal component/linear discriminant classifier (PCA-LDA), tabu search/nearest neighbor classifier (TS-1NN), and bagging/boosting with decision tree (C4.5) classifier.

  13. Collaborative multidisciplinary team approach to fertility issues among adolescent and young adult cancer patients.

    Science.gov (United States)

    Nagel, Kim; Cassano, Jane; Wizowski, Lindsay; Neal, Michael S

    2009-08-01

    Cancer treatment and the field of reproductive technology have each made impressive advancements in the last decade. Improved cancer treatment and survival rates have increased the number of cancer survivors, who might benefit from an array of fertility preservation strategies provided by emerging and advanced assisted conception technology. The challenge becomes bridging the gap between these two separate disciplines to ultimately improve the quality of life for cancer survivors. This paper discusses the issues and process involved with bringing these two teams of health-care professionals together. This model provides a framework for coordinating efforts in providing fertility preservation options to patients undergoing treatment for cancer. Effective multidisciplinary teams that include: oncologists, nurses in the specialties of oncology and infertility, social workers, reproductive endocrinology and infertility specialists, andrologists, and embryologists are required to work together in order to achieve success. The result of this unique team approach is not only a cancer survivor, but one whose quality of life might be enhanced by being able to have a child of his or her own in the future.

  14. Are breast cancer stem cells the key to resolving clinical issues in breast cancer therapy?

    Science.gov (United States)

    Shima, Hidetaka; Ishikawa, Takashi; Endo, Itaru

    2017-01-01

    Despite the dramatic advances in breast cancer treatment over the past two decades, it is still the most common malignancies in women. One of the reasons patients succumb to breast cancer is treatment resistance leading to metastasis and recurrence. Recently, cancer stem cells (CSCs) have been suggested as a cause of metastasis and recurrence in several cancers because of their unique characteristics, including self-renewal, pluripotency, and high proliferative ability. Increasing evidence has implicated breast cancer stem cells (BCSCs) as essential for tumor development, progression, recurrence, and treatment resistance. BCSCs exhibit resistance to treatment owing to several inter-related factors, including overexpression of ATP-binding cassette (ABC) transporters and increased aldehyde dehydrogenase (ALDH) activity, DNA repair, and reactive oxygen species (ROS) scavenging. In addition, the Notch, Hedgehog, and Wnt signaling pathways have been suggested as the major pathways involved in the self-renewal and differentiation of BCSCs. Despite growing evidence suggesting the importance of BCSCs in progression and metastasis, clear criteria for the identification of BCSCs in clinical practice have yet to be established. Several potential markers have been suggested, including CD44+/CD24−/low, ALDH1, EpCAM/ESA, and nestin; however, there is no standard method to detect BCSCs. Triple-negative breast cancer, which shows initial chemosensitivity, demonstrates worsened prognosis due to therapy resistance, which might be related to the presence of BCSCs. Several clinical trials aimed at the identification of BCSCs or the development of BCSC-targeted therapy are in progress. Determining the clinical relevance of BCSCs may provide clues for overcoming therapy resistance in breast cancer. PMID:28210556

  15. Full Intelligent Cancer Classification of Thermal Breast Images to Assist Physician in Clinical Diagnostic Applications.

    Science.gov (United States)

    Lashkari, AmirEhsan; Pak, Fatemeh; Firouzmand, Mohammad

    2016-01-01

    Breast cancer is the most common type of cancer among women. The important key to treat the breast cancer is early detection of it because according to many pathological studies more than 75% - 80% of all abnormalities are still benign at primary stages; so in recent years, many studies and extensive research done to early detection of breast cancer with higher precision and accuracy. Infra-red breast thermography is an imaging technique based on recording temperature distribution patterns of breast tissue. Compared with breast mammography technique, thermography is more suitable technique because it is noninvasive, non-contact, passive and free ionizing radiation. In this paper, a full automatic high accuracy technique for classification of suspicious areas in thermogram images with the aim of assisting physicians in early detection of breast cancer has been presented. Proposed algorithm consists of four main steps: pre-processing & segmentation, feature extraction, feature selection and classification. At the first step, using full automatic operation, region of interest (ROI) determined and the quality of image improved. Using thresholding and edge detection techniques, both right and left breasts separated from each other. Then relative suspected areas become segmented and image matrix normalized due to the uniqueness of each person's body temperature. At feature extraction stage, 23 features, including statistical, morphological, frequency domain, histogram and Gray Level Co-occurrence Matrix (GLCM) based features are extracted from segmented right and left breast obtained from step 1. To achieve the best features, feature selection methods such as minimum Redundancy and Maximum Relevance (mRMR), Sequential Forward Selection (SFS), Sequential Backward Selection (SBS), Sequential Floating Forward Selection (SFFS), Sequential Floating Backward Selection (SFBS) and Genetic Algorithm (GA) have been used at step 3. Finally to classify and TH labeling procedures

  16. Linear classifier and textural analysis of optical scattering images for tumor classification during breast cancer extraction

    Science.gov (United States)

    Eguizabal, Alma; Laughney, Ashley M.; Garcia Allende, Pilar Beatriz; Krishnaswamy, Venkataramanan; Wells, Wendy A.; Paulsen, Keith D.; Pogue, Brian W.; López-Higuera, José M.; Conde, Olga M.

    2013-02-01

    Texture analysis of light scattering in tissue is proposed to obtain diagnostic information from breast cancer specimens. Light scattering measurements are minimally invasive, and allow the estimation of tissue morphology to guide the surgeon in resection surgeries. The usability of scatter signatures acquired with a micro-sampling reflectance spectral imaging system was improved utilizing an empirical approximation to the Mie theory to estimate the scattering power on a per-pixel basis. Co-occurrence analysis is then applied to the scattering power images to extract the textural features. A statistical analysis of the features demonstrated the suitability of the autocorrelation for the classification of notmalignant (normal epithelia and stroma, benign epithelia and stroma, inflammation), malignant (DCIS, IDC, ILC) and adipose tissue, since it reveals morphological information of tissue. Non-malignant tissue shows higher autocorrelation values while adipose tissue presents a very low autocorrelation on its scatter texture, being malignant the middle ground. Consequently, a fast linear classifier based on the consideration of just one straightforward feature is enough for providing relevant diagnostic information. A leave-one-out validation of the linear classifier on 29 samples with 48 regions of interest showed classification accuracies of 98.74% on adipose tissue, 82.67% on non-malignant tissue and 72.37% on malignant tissue, in comparison with the biopsy H and E gold standard. This demonstrates that autocorrelation analysis of scatter signatures is a very computationally efficient and automated approach to provide pathological information in real-time to guide surgeon during tissue resection.

  17. Laser Raman detection for oral cancer based on a Gaussian process classification method

    Science.gov (United States)

    Du, Zhanwei; Yang, Yongjian; Bai, Yuan; Wang, Lijun; Zhang, Chijun; Chen, He; Luo, Yusheng; Su, Le; Chen, Yong; Li, Xianchang; Zhou, Xiaodong; Jia, Jun; Shen, Aiguo; Hu, Jiming

    2013-06-01

    Oral squamous cell carcinoma is the most common neoplasm of the oral cavity. The incidence rate accounts for 80% of total oral cancer and shows an upward trend in recent years. It has a high degree of malignancy and is difficult to detect in terms of differential diagnosis, as a consequence of which the timing of treatment is always delayed. In this work, Raman spectroscopy was adopted to differentially diagnose oral squamous cell carcinoma and oral gland carcinoma. In total, 852 entries of raw spectral data which consisted of 631 items from 36 oral squamous cell carcinoma patients, 87 items from four oral gland carcinoma patients and 134 items from five normal people were collected by utilizing an optical method on oral tissues. The probability distribution of the datasets corresponding to the spectral peaks of the oral squamous cell carcinoma tissue was analyzed and the experimental result showed that the data obeyed a normal distribution. Moreover, the distribution characteristic of the noise was also in compliance with a Gaussian distribution. A Gaussian process (GP) classification method was utilized to distinguish the normal people and the oral gland carcinoma patients from the oral squamous cell carcinoma patients. The experimental results showed that all the normal people could be recognized. 83.33% of the oral squamous cell carcinoma patients could be correctly diagnosed and the remaining ones would be diagnosed as having oral gland carcinoma. For the classification process of oral gland carcinoma and oral squamous cell carcinoma, the correct ratio was 66.67% and the erroneously diagnosed percentage was 33.33%. The total sensitivity was 80% and the specificity was 100% with the Matthews correlation coefficient (MCC) set to 0.447 213 595. Considering the numerical results above, the application prospects and clinical value of this technique are significantly impressive.

  18. Beyond treatment – Psychosocial and behavioural issues in cancer survivorship research and practice

    Directory of Open Access Journals (Sweden)

    Neil K. Aaronson

    2014-06-01

    Full Text Available The population of cancer survivors has grown steadily over the past several decades. Surviving cancer, however, is not synonymous with a life free of problems related to the disease and its treatment. In this paper we provide a brief overview of selected physical and psychosocial health problems prevalent among cancer survivors, namely pain, fatigue, psychological distress and work participation. We also address issues surrounding self-management and e-Health interventions for cancer survivors, and programmes to encourage survivors to adopt healthier lifestyles. Finally, we discuss approaches to assessing health-related quality of life in cancer survivors, and the use of cancer registries in conducting psychosocial survivorship research. We highlight research and practice priorities in each of these areas. While the priorities vary per topic, common themes that emerged included: (1 Symptoms should not be viewed in isolation, but rather as part of a cluster of interrelated symptoms. This has implications for both understanding the aetiology of symptoms and for their treatment; (2 Psychosocial interventions need to be evidence-based, and where possible should be tailored to the needs of the individual cancer survivor. Relatively low cost interventions with self-management and e-Health elements may be appropriate for the majority of survivors, with resource intensive interventions being reserved for those most in need; (3 More effort should be devoted to disseminating and implementing interventions in practice, and to evaluating their cost-effectiveness; and (4 Greater attention should be paid to the needs of vulnerable and high-risk populations of survivors, including the socioeconomically disadvantaged and the elderly.

  19. Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology

    Science.gov (United States)

    Sharma, Harshita; Zerbe, Norman; Heim, Daniel; Wienert, Stephan; Lohmann, Sebastian; Hellwich, Olaf; Hufnagl, Peter

    2016-03-01

    This paper describes a novel graph-based method for efficient representation and subsequent classification in histological whole slide images of gastric cancer. Her2/neu immunohistochemically stained and haematoxylin and eosin stained histological sections of gastric carcinoma are digitized. Immunohistochemical staining is used in practice by pathologists to determine extent of malignancy, however, it is laborious to visually discriminate the corresponding malignancy levels in the more commonly used haematoxylin and eosin stain, and this study attempts to solve this problem using a computer-based method. Cell nuclei are first isolated at high magnification using an automatic cell nuclei segmentation strategy, followed by construction of cell nuclei attributed relational graphs of the tissue regions. These graphs represent tissue architecture comprehensively, as they contain information about cell nuclei morphology as vertex attributes, along with knowledge of neighborhood in the form of edge linking and edge attributes. Global graph characteristics are derived and ensemble learning is used to discriminate between three types of malignancy levels, namely, non-tumor, Her2/neu positive tumor and Her2/neu negative tumor. Performance is compared with state of the art methods including four texture feature groups (Haralick, Gabor, Local Binary Patterns and Varma Zisserman features), color and intensity features, and Voronoi diagram and Delaunay triangulation. Texture, color and intensity information is also combined with graph-based knowledge, followed by correlation analysis. Quantitative assessment is performed using two cross validation strategies. On investigating the experimental results, it can be concluded that the proposed method provides a promising way for computer-based analysis of histopathological images of gastric cancer.

  20. Classification of Laser Induced Fluorescence Spectra from Normal and Malignant bladder tissues using Learning Vector Quantization Neural Network in Bladder Cancer Diagnosis

    DEFF Research Database (Denmark)

    Karemore, Gopal Raghunath; Mascarenhas, Kim Komal; Patil, Choudhary

    2008-01-01

    the classification accuracy of LVQ with other classifiers (eg. SVM and Multi Layer Perceptron) for the same data set. Good agreement has been obtained between LVQ based classification of spectroscopy data and histopathology results which demonstrate the use of LVQ classifier in bladder cancer diagnosis....

  1. Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System

    Directory of Open Access Journals (Sweden)

    Jie Su

    2016-01-01

    Full Text Available We proposed a method for automatic detection of cervical cancer cells in images captured from thin liquid based cytology slides. We selected 20,000 cells in images derived from 120 different thin liquid based cytology slides, which include 5000 epithelial cells (normal 2500, abnormal 2500, lymphoid cells, neutrophils, and junk cells. We first proposed 28 features, including 20 morphologic features and 8 texture features, based on the characteristics of each cell type. We then used a two-level cascade integration system of two classifiers to classify the cervical cells into normal and abnormal epithelial cells. The results showed that the recognition rates for abnormal cervical epithelial cells were 92.7% and 93.2%, respectively, when C4.5 classifier or LR (LR: logical regression classifier was used individually; while the recognition rate was significantly higher (95.642% when our two-level cascade integrated classifier system was used. The false negative rate and false positive rate (both 1.44% of the proposed automatic two-level cascade classification system are also much lower than those of traditional Pap smear review.

  2. Genetic Fuzzy System (GFS based wavelet co-occurrence feature selection in mammogram classification for breast cancer diagnosis

    Directory of Open Access Journals (Sweden)

    Meenakshi M. Pawar

    2016-09-01

    Full Text Available Breast cancer is significant health problem diagnosed mostly in women worldwide. Therefore, early detection of breast cancer is performed with the help of digital mammography, which can reduce mortality rate. This paper presents wrapper based feature selection approach for wavelet co-occurrence feature (WCF using Genetic Fuzzy System (GFS in mammogram classification problem. The performance of GFS algorithm is explained using mini-MIAS database. WCF features are obtained from detail wavelet coefficients at each level of decomposition of mammogram image. At first level of decomposition, 18 features are applied to GFS algorithm, which selects 5 features with an average classification success rate of 39.64%. Subsequently, at second level it selects 9 features from 36 features and the classification success rate is improved to 56.75%. For third level, 16 features are selected from 54 features and average success rate is improved to 64.98%. Lastly, at fourth level 72 features are applied to GFS, which selects 16 features and thereby increasing average success rate to 89.47%. Hence, GFS algorithm is the effective way of obtaining optimal set of feature in breast cancer diagnosis.

  3. Highlights from the 14th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement to personalize the treatment of patients with early breast cancer

    Science.gov (United States)

    Esposito, Angela; Criscitiello, Carmen; Curigliano, Giuseppe

    2015-01-01

    The refinement of the classification, the risk of relapse and the prediction of response to multidisciplinary treatment for early breast cancer has been the major theme of the 14th St Gallen International Breast Cancer Consensus Conference 2015. The meeting, held in Vienna, assembled 3500–4000 participants from 134 countries worldwide. It culminated, on the final day, with the International Consensus Session, delivered by 40–50 of the world’s most experienced opinion leaders in the field of breast cancer treatment. The panelist addressed the “semantic” classification of breast cancer subtypes by pathology-based biomarkers (e.g. estrogen receptor, progesterone receptor and HER2) vs genomic classifiers. They also refined the biomarker prognostication dissecting the impact of the various gene signatures and pathologic variables in predicting the outcome of patients with early breast cancer in terms of early and late relapse. Finally they addressed the challenges stemming from the intra- and inter-observer variability in the assessment of pathologic variables and the role of gene signatures for the prediction of response to specific therapeutic approach such as endocrine therapy and chemotherapy and for personalizing local treatment of patients with early breast cancer. The vast majority of the questions asked during the consensus were about controversial issues. The opinion of the panel members has been used to implement guidance for treatment choice. This is the unique feature of the St. Gallen Consensus, ensuring that the resulting recommendations will take due cognizance of the variable resource limitations in different countries. Information derived from evidence based medicine and large meta-analyses is of obvious and enormous value. The weakness of this approach is that it gives particular weight to older trials (which have accumulated more event endpoints) and is frequently unable to collect sufficient detail on the patients and tumors in the trials

  4. Highlights from the 14(th) St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement to personalize the treatment of patients with early breast cancer.

    Science.gov (United States)

    Esposito, Angela; Criscitiello, Carmen; Curigliano, Giuseppe

    2015-01-01

    The refinement of the classification, the risk of relapse and the prediction of response to multidisciplinary treatment for early breast cancer has been the major theme of the 14(th) St Gallen International Breast Cancer Consensus Conference 2015. The meeting, held in Vienna, assembled 3500-4000 participants from 134 countries worldwide. It culminated, on the final day, with the International Consensus Session, delivered by 40-50 of the world's most experienced opinion leaders in the field of breast cancer treatment. The panelist addressed the "semantic" classification of breast cancer subtypes by pathology-based biomarkers (e.g. estrogen receptor, progesterone receptor and HER2) vs genomic classifiers. They also refined the biomarker prognostication dissecting the impact of the various gene signatures and pathologic variables in predicting the outcome of patients with early breast cancer in terms of early and late relapse. Finally they addressed the challenges stemming from the intra- and inter-observer variability in the assessment of pathologic variables and the role of gene signatures for the prediction of response to specific therapeutic approach such as endocrine therapy and chemotherapy and for personalizing local treatment of patients with early breast cancer. The vast majority of the questions asked during the consensus were about controversial issues. The opinion of the panel members has been used to implement guidance for treatment choice. This is the unique feature of the St. Gallen Consensus, ensuring that the resulting recommendations will take due cognizance of the variable resource limitations in different countries. Information derived from evidence based medicine and large meta-analyses is of obvious and enormous value. The weakness of this approach is that it gives particular weight to older trials (which have accumulated more event endpoints) and is frequently unable to collect sufficient detail on the patients and tumors in the trials to allow

  5. Disclosing the truth to terminal cancer patients: a discussion of ethical and cultural issues.

    Science.gov (United States)

    Kazdaglis, G A; Arnaoutoglou, C; Karypidis, D; Memekidou, G; Spanos, G; Papadopoulos, O

    2010-04-01

    One of the most difficult ethical dilemmas facing health care professionals working in oncology is whether, when, how and how much to tell terminal cancer patients about their diagnosis and prognosis. The aim of this article is to review the trends in this issue worldwide. While a majority of physicians in both developed and developing countries tell the truth more often today than in the past, the assumption that truth-telling is always beneficial to patients can be questioned. The issue of truth-telling is still approached differently in different countries and cultures and there is a need for an increased awareness of cultural differences to truth-telling among patients from ethnic minorities.

  6. In this issue--engineering the immune system to fight cancer and infections.

    Science.gov (United States)

    Bot, Adrian

    2011-01-01

    As the immune system essentially evolved to fight off or keep at bay life-threatening infectious agents rather than cancer, the question remains as to how to best redeploy it for the treatment of a broader range of diseases. This is reflected by an unprecedented diversification of platform technologies in development, facilitated by rapid progress in biotechnology. In this issue, we host several contributions outlining major efforts in developing novel immune interventions spanning antigen-specific vaccination, non-antigen-targeted immune intervention, genetically engineered lymphocytes, and ultraspecific antigen-targeted ligands. In addition, the journal is hosting in this issue, two reviews discussing the complex matter and dynamic balance between immunity and viral infections, as the concept of fine modulation of that balance still carries the promise of yielding novel therapies.

  7. The study of a patient's immune system may prove to be a useful noninvasive tool for stage classification in colon cancer.

    Science.gov (United States)

    Pellegrini, Patrizia; Berghella, Anna Maria; Contasta, Ida; Del Beato, Tiziana; Adorno, Domenico

    2006-10-01

    Therapy, and, therefore, prognosis, is strictly related to cancer stage, and hence, screening tests that can contribute to the early classification of disease stage represent a step forward in treatment. Unfortunately, few prognostic indices are available, especially noninvasive ones. Our study of the physiological network of the immune response, however, leads us to believe that it may well be possible to define immunological indices for the classification of cancer stage using blood parameters. In this paper, we show how the study of a patient's immune system can be used as a noninvasive tool for early-stage classification.

  8. Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.

    Science.gov (United States)

    Pak, Fatemeh; Kanan, Hamidreza Rashidy; Alikhassi, Afsaneh

    2015-11-01

    Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast cancer. In this paper, a new algorithm is proposed for breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution (SR). The presented algorithm includes three main parts including pre-processing, feature extraction and classification. In the pre-processing stage, after determining the region of interest (ROI) by an automatic technique, the quality of image is improved using NSCT and SR algorithm. In the feature extraction part, several features of the image components are extracted and skewness of each feature is calculated. Finally, AdaBoost algorithm is used to classify and determine the probability of benign and malign disease. The obtained results on Mammographic Image Analysis Society (MIAS) database indicate the significant performance and superiority of the proposed method in comparison with the state of the art approaches. According to the obtained results, the proposed technique achieves 91.43% and 6.42% as a mean accuracy and FPR, respectively.

  9. Effect of World Health Organization (WHO) Histological Classification on Predicting Lymph Node Metastasis and Recurrence in Early Gastric Cancer

    Science.gov (United States)

    Lai, Ji Fu; Xu, Wen Na; Noh, Sung Hoon; Lu, Wei Qin

    2016-01-01

    Background The World Health Organization (WHO) histological classification for gastric cancer is widely accepted and used. However, its impact on predicting lymph node metastasis and recurrence in early gastric cancer (EGC) is not well studied. Material/Methods From 1987 to 2005, 2873 EGC patients with known WHO histological type who had undergone curative resection were enrolled in this study. In all, 637 well-differentiated adenocarcinomas (WD), 802 moderately-differentiated adenocarcinomas (MD), 689 poorly-differentiated adenocarcinomas (PD), and 745 signet-ring cell adenocarcinomas (SRC) were identified. Results The distribution of demographic and clinical features in early gastric cancer among WD, MD, PD, and SRC were significantly different. Lymph node metastasis was observed in 317 patients (11.0%), with the lymph node metastasis rate being 5.3%, 14.8%, 17.0%, and 6.3% in WD, MD, PD, and SRC, respectively. Univariate and multivariate analyses indicated that gender, tumor size, gross appearance, depth of invasion, and WHO classification were significantly associated with lymph node metastasis. Recurrence was observed in 83 patients (2.9%), with the recurrence rate being 2.2%, 4.5%, 3.0%, and 1.6% in WD, MD, PD, and SRC, respectively. Multivariate analysis confirmed that MD, elevated gross type, and lymph node metastasis were independent risk factors for recurrence in EGC. MD patients showed worse disease-free survival than non-MD patients (P=0.001). Conclusions WHO classification is useful and necessary to evaluate during the perioperative management of EGC. Treatment strategies for EGC should be made prudently according to WHO classification, especially for MD patients. PMID:27595490

  10. International Classification of Functioning, Disability, and Health in women with breast cancer: a proposal for measurement instruments.

    Science.gov (United States)

    Carvalho, Flávia Nascimento de; Koifman, Rosalina Jorge; Bergmann, Anke

    2013-06-01

    The International Classification of Functioning, Disability, and Health (ICF) aims at standardization, but its applicability requires consistent instruments. In Brazil, invasive therapeutic approaches are frequent, leading to functional alterations. The current study thus aimed to identify and discuss instruments capable of measuring ICF core set codes for breast cancer. The review included ICF studies in women with breast cancer diagnosis and studies with the objective of translating and validating instruments for the Brazilian population, and consistent with the codes. Review studies, systematic or not, were excluded. Eight instruments were selected, and the WHOQOL-Bref was the most comprehensive. The use of various instruments showed 19 coinciding codes, and the instruments as a whole covered 58 of the total of 81 codes. The use of multiple instruments is time-consuming, so new studies are needed to propose parsimonious tools capable of measuring functioning in women treated for breast cancer.

  11. Ethical Issues in the End of Life Care for Cancer Patients in Iran

    Directory of Open Access Journals (Sweden)

    Mina Mobasher

    2013-02-01

    Full Text Available Background: In the recent years, advances in medical technologies for end stage cancer patients’ care have affected the end-of-life decision-making in clinical practice and exposed oncologists to serious ethical dilemmas. But little is known about oncologists' viewpoints in our country regarding their ethical problems in this mention. We aimed to clarify the ethical dilemmas which Iranian oncologists may face in our health care setting and to determine factors influencing decision-making process.Methods: In this qualitative study, a phenomenological approach was used. We interviewed 8 cancer specialists in teaching hospitals in Iran and used content analysis to identify codes and categorize themes in the data.Results: During the process of analysis, three main themes emerged about ethical dilemmas in end of life care for advanced cancer patients: illness factors, socio-cultural context and patient-physician relationship. Cancer specialists identified ethical problems on several main issues, the most important of which were telling the truth in Iranian cultural context, uncertainty in end stage definition, multidisciplinary team working and cost consideration in Iranian health care system.Conclusion: Health care and insurance system in Iran face to end of life care challenges; therefore, health care providers and policy makers need to allocate appropriate resources and programs to improve quality of care in terminal stages. Appropriate physicians’ communication skills training, multidisciplinary team working and supplementary insurance services that provide essential health care can improve the quality of care of patients with end stages of cancer. The findings of this study can help us to provide ethical policies for decision-making in end-of-life care.

  12. Towards optimised information about clinical trials; identification and validation of key issues in collaboration with cancer patient advocates

    DEFF Research Database (Denmark)

    Dellson, P; Nilbert, M; Bendahl, P-O;

    2011-01-01

    the possibility to discontinue treatment were perceived as the most important issues. Patients' views of the information in clinical trials provide new insights and identify key issues to consider in optimising future written information and may improve recruitment to clinical cancer trials.......Clinical trials are crucial to improve cancer treatment but recruitment is difficult. Optimised patient information has been recognised as a key issue. In line with the increasing focus on patients' perspectives in health care, we aimed to study patients' opinions about the written information used...... in three clinical trials for breast cancer. Primary data collection was done in focus group interviews with breast cancer patient advocates. Content analysis identified three major themes: comprehensibility, emotions and associations, and decision making. Based on the advocates' suggestions...

  13. Classification moléculaire du cancer du sein au Maroc

    Science.gov (United States)

    Fouad, Abbass; Yousra, Akasbi; Kaoutar, Znati; Omar, El Mesbahi; Afaf, Amarti; Sanae, Bennis

    2012-01-01

    Introduction La classification moléculaire des cancers du sein basée sur l'expression génique puis sur le profil protéique a permis de distinguer cinq groupes moléculaires: luminal A, luminal B, Her2/neu, basal-like et non-classées. L'objectif de cette étude réalisée au CHU Hassan II de Fès est de classer 335 cancers du sein infiltrant en groupes moléculaires, puis de les corréler avec les caractéristiques clinicopathologiques. Méthodes Etude rétrospective étalée sur 45 mois, comportant 335 patientes colligées au CHU pour le diagnostic et le suivi. Les tumeurs sont analysées histologiquement et classées après une étude immunohistochimique en groupes: luminal A, luminal B, Her2+, basal-like et non-classées. Résultats 54.3% des tumeurs sont du groupe luminal A, 16% luminal B, 11.3% Her2+, 11.3% basal-like et 7% non-classées. Le groupe luminal A renferme le plus faible taux de grade III, d'emboles vasculaires ainsi que de métastases; alors que le groupe des non-classées et basal-like représentent un taux élevé de grade III, une faible proportion d'emboles vasculaires et d'envahissement ganglionnaire. Ces facteurs sont significativement élevés dans les groupes luminal B et Her2+ avec un taux de survie globale de 78% et 76% respectivement. Dans le groupe luminal A, la survie globale des patientes est élevée (87%) alors qu'elle n'est que de 49% dans le groupe des triples négatifs (basal-like et non-classés). Conclusion Le groupe luminal B est différent du luminal A et il est de pronostic péjoratif vis à vis du groupe Her2+. Les caractéristiques clinicopathologiques concordent avec le profil moléculaire donc devraient être pris en considération comme facteurs pronostiques. PMID:23396646

  14. Clinicopathological significance of altered metallothionein 2A expression in gastric cancer according to Lauren's classification

    Institute of Scientific and Technical Information of China (English)

    PAN Yuan-ming; XING Rui; CUI Jian-tao; LI Wen-mei; L(U) You-yong

    2013-01-01

    Background Dysregulated metallothionein 2A (MT2A) has been implicated in carcinogenesis.The purpose of this study was to investigate the expression of MT2A in gastric cancer (GC) and its correlation with prognosis.Methods Reverse transcription-polymerase chain reaction and real-time polymerase chain reaction were used to detect the mRNA expression of MT2A in 12 GC cell lines,normal gastric epithelial GES-1 cells,and 36 GC and adjacent normal tissues.MT2A protein expression was determined in 258 GC tissues and 171 adjacent normal tissues by immunohistochemistry.Results MT2A mRNA expression was lower in GC cells and primary tumors than in GES-1 cells and adjacent normal tissues,respectively.High protein expression of MT2A was present in 130 of 171 normal tissues (76.0%) and in 56 of 258 GC tissues (21.7%; P <0.001).MT2A protein expression was higher in well/moderately differentiated GC (22/54;40.7%) than in poorly differentiated GC (34/204; 16.7%; P <0.001).Moreover,the protein expression of MT2A was lower in diffuse-type GC (6/82; 7.3%) than in intestinal-type GC (50/176; 28.4%; P=0.0001).Importantly,MT2A expression was an independent prognostic factor for GC,and decreased MT2A expression was associated with poor clinical outcome (P <0.001).The expression status of MT2A could predict prognosis in intestinal and diffuse-type GCs.Conclusion Expression status of MT2A might be a useful prognostic biomarker for GC,especially when used in combination with Lauren's classification.

  15. Fourier-transform infrared spectroscopy coupled with a classification machine for the analysis of blood plasma or serum: a novel diagnostic approach for ovarian cancer.

    Science.gov (United States)

    Gajjar, Ketan; Trevisan, Júlio; Owens, Gemma; Keating, Patrick J; Wood, Nicholas J; Stringfellow, Helen F; Martin-Hirsch, Pierre L; Martin, Francis L

    2013-07-21

    Currently available screening tests do not deliver the required sensitivity and specificity for accurate diagnosis of ovarian or endometrial cancer. Infrared (IR) spectroscopy of blood plasma or serum is a rapid, versatile, and relatively non-invasive approach which could characterize biomolecular alterations due to cancer and has potential to be utilized as a screening or diagnostic tool. In the past, no such approach has been investigated for its applicability in screening and/or diagnosis of gynaecological cancers. We set out to determine whether attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy coupled with a proposed classification machine could be applied to IR spectra obtained from plasma and serum for accurate class prediction (cancer vs. normal). Plasma and serum samples were obtained from ovarian cancer cases (n = 30), endometrial cancer cases (n = 30) and non-cancer controls (n = 30), and subjected to ATR-FTIR spectroscopy. Four derived datasets were processed to estimate the real-world diagnosis of ovarian and endometrial cancer. Classification results for ovarian cancer were remarkable (up to 96.7%), whereas endometrial cancer was classified with a relatively high accuracy (up to 81.7%). The results from different combinations of feature extraction and classification methods, and also classifier ensembles, were compared. No single classification system performed best for all different datasets. This demonstrates the need for a framework that can accommodate a diverse set of analytical methods in order to be adaptable to different datasets. This pilot study suggests that ATR-FTIR spectroscopy of blood is a robust tool for accurate diagnosis, and carries the potential to be utilized as a screening test for ovarian cancer in primary care settings. The proposed classification machine is a powerful tool which could be applied to classify the vibrational spectroscopy data of different biological systems (e.g., tissue, urine, saliva

  16. Urologic cancer in Japan: role of Japan at the frontier of issues in Asia.

    Science.gov (United States)

    Akaza, Hideyuki

    2016-01-01

    The characteristics of urological cancer in Japan can be summarized in the following points. (i) As the onset of this type of cancer is typically seen in elderly patients, it is becoming a major social issue in Japan that has already become an aging society. (ii) Many diverse treatment methods are available and a response is required that prioritizes quality of life. (iii) Although vigorous research and development efforts into new drugs are being carried out on a global level, resulting in beneficial medical agents becoming more readily available, unless concepts relating to cost vs. effectiveness are further developed and there is a real risk that medical systems and structures in their current form will become unsustainable. (iv) Although at the current point there are no original large-scale clinical trials being conducted in Asia, Japan has a wealth of experience of participating in many international joint clinical trials and it is therefore an urgent and pressing challenge to organize joint clinical trials in Asia and amass a body of knowledge that is unique to Asia. In view of this current situation and given Japan's position at the frontier of issues, it is important for Japan to take the initiative in Asia in cooperating with other Asian nations in efforts to resolve and overcome various challenges.

  17. Toward automated classification of consumers' cancer-related questions with a new taxonomy of expected answer types.

    Science.gov (United States)

    McRoy, Susan; Jones, Sean; Kurmally, Adam

    2016-09-01

    This article examines methods for automated question classification applied to cancer-related questions that people have asked on the web. This work is part of a broader effort to provide automated question answering for health education. We created a new corpus of consumer-health questions related to cancer and a new taxonomy for those questions. We then compared the effectiveness of different statistical methods for developing classifiers, including weighted classification and resampling. Basic methods for building classifiers were limited by the high variability in the natural distribution of questions and typical refinement approaches of feature selection and merging categories achieved only small improvements to classifier accuracy. Best performance was achieved using weighted classification and resampling methods, the latter yielding an accuracy of F1 = 0.963. Thus, it would appear that statistical classifiers can be trained on natural data, but only if natural distributions of classes are smoothed. Such classifiers would be useful for automated question answering, for enriching web-based content, or assisting clinical professionals to answer questions.

  18. Male coping with cancer-fertility issues: putting the 'social' into biopsychosocial approaches.

    Science.gov (United States)

    Crawshaw, Marilyn

    2013-09-01

    Biopsychosocial approaches in infertility and cancer services and research pay limited attention to 'social dimensions'. Additionally, existing cancer-related male infertility research is dominated by sperm banking studies even though fertility-related social concerns in the long term are reported to have an adverse effect on wellbeing. This paper considers whether social influences affected the fertility-related experiences of 28 men interviewed as part of a mixed-gender qualitative study of 'South Asian' and 'White' cancer survivors and their professional carers. Findings are reported under: managing stigma; sexuality and virility; ambiguity in fertile status; relationship to sperm; and meaning of fatherhood. Gender and other social influences were ambiguous, fluid and subtle--yet powerful. Combinations were neither standard nor static, indicating the dangers of practitioners stereotyping, and/or assuming homogeneity of, (in)fertile men and being unaware of their own socialized expectations. Social structures and attitudes towards valued male social roles as well as the men's psychological capacity and bodily state appear to affect experience. Men may more readily be engaged if practitioners proactively attend to the impact of social concerns, including employment and financial matters, on their perceived capacity to be fathers as a route into raising issues of sexuality and fertility.

  19. Interval-value Based Particle Swarm Optimization algorithm for cancer-type specific gene selection and sample classification

    Directory of Open Access Journals (Sweden)

    D. Ramyachitra

    2015-09-01

    Full Text Available Microarray technology allows simultaneous measurement of the expression levels of thousands of genes within a biological tissue sample. The fundamental power of microarrays lies within the ability to conduct parallel surveys of gene expression using microarray data. The classification of tissue samples based on gene expression data is an important problem in medical diagnosis of diseases such as cancer. In gene expression data, the number of genes is usually very high compared to the number of data samples. Thus the difficulty that lies with data are of high dimensionality and the sample size is small. This research work addresses the problem by classifying resultant dataset using the existing algorithms such as Support Vector Machine (SVM, K-nearest neighbor (KNN, Interval Valued Classification (IVC and the improvised Interval Value based Particle Swarm Optimization (IVPSO algorithm. Thus the results show that the IVPSO algorithm outperformed compared with other algorithms under several performance evaluation functions.

  20. Developing a novel nodal grading system to standardize nodal classification in gastric cancer patients with limited lymph node resection

    Institute of Scientific and Technical Information of China (English)

    2015-01-01

    Objective:To develop an easy applicable novel nodal grading system to improve the standardization of nodal classification in patients with limited lymphadenectomy. Methods: We formulated a new approach of nodal classification to classify this category of patients. Log-rank test was used for univariate analysis and Cox proportional hazards model was used for univariate and multivariate analysis. We used linear trendχ2 tests, likelihood ratioχ2 test and Akaike information criterion (AIC) value to assess the homogeneity, discriminatory ability and monotonicity of gradients of the two nodal staging systems.Results:Statistical analysis supported that both the hypothesized N’ stage and hypothesized TN’M stage outperforms the present AJCC/UICC staging system.Conclusion:We developed an easy applicable and reproducible novel nodal grading system that has a greater predicting value than the current AJCC/UICC staging system to classify gastric cancer patients with limited lymphadenectomy.

  1. Interval-value Based Particle Swarm Optimization algorithm for cancer-type specific gene selection and sample classification.

    Science.gov (United States)

    Ramyachitra, D; Sofia, M; Manikandan, P

    2015-09-01

    Microarray technology allows simultaneous measurement of the expression levels of thousands of genes within a biological tissue sample. The fundamental power of microarrays lies within the ability to conduct parallel surveys of gene expression using microarray data. The classification of tissue samples based on gene expression data is an important problem in medical diagnosis of diseases such as cancer. In gene expression data, the number of genes is usually very high compared to the number of data samples. Thus the difficulty that lies with data are of high dimensionality and the sample size is small. This research work addresses the problem by classifying resultant dataset using the existing algorithms such as Support Vector Machine (SVM), K-nearest neighbor (KNN), Interval Valued Classification (IVC) and the improvised Interval Value based Particle Swarm Optimization (IVPSO) algorithm. Thus the results show that the IVPSO algorithm outperformed compared with other algorithms under several performance evaluation functions.

  2. A neglected issue on sexual well-being following breast cancer diagnosis and treatment among Chinese women.

    Directory of Open Access Journals (Sweden)

    Fengliang Wang

    Full Text Available BACKGROUND: Changes to sexual well-being can be one of the most problematic quality of life issues following the diagnosis and treatment of breast cancer. The objectives of the present study were to evaluate changes to sexual well-being following breast cancer, to expand upon the existing body of knowledge pertaining to breast cancer and sexuality, and to provide the necessary information for implementing future interventions that may help improve the quality of life in breast cancer patients. METHODS: This study was mixed with qualitative and quantitative designs. Twenty patients with breast cancer were recruited for in-depth interviews. The central questions covered a patient's cancer experience and perceptions of sexual activities following breast cancer. According to the findings of the qualitative study, we performed a quantitative study using a structured questionnaire to collect data on patient's experience and attitude to sexual well-being following breast cancer diagnosis and treatment. RESULTS: Based on the qualitative analysis, seven main themes emerged: (1 Decrease in sexual frequency; (2 Lack of sexual interest; (3 Menopausal symptoms; (4 Body image changes; (5 Effects on marital relationship; (6 Misconceptions about sex; (7 The need for professional consultation. Results from the quantitative study further supported the findings from the qualitative analysis, where changes to sexual well-being were common following cancer diagnosis and treatment and it was a neglected issue among Chinese women. CONCLUSIONS: The present study highlights the significant changes to sexual well-being following breast cancer, in addition to the lack of knowledge and misconceptions of sexual activity among patients. Addressing these problems will help improve a patient's quality of life. The findings of this study could help healthcare professionals recognize the sexual issues faced by women with breast cancer and ultimately promote a healthy life.

  3. Ethical issues in autologous stem cell transplantation (ASCT in advanced breast cancer: A systematic literature review

    Directory of Open Access Journals (Sweden)

    Scheibler Fueloep

    2011-04-01

    Full Text Available Abstract Background An effectiveness assessment on ASCT in locally advanced and metastatic breast cancer identified serious ethical issues associated with this intervention. Our objective was to systematically review these aspects by means of a literature analysis. Methods We chose the reflexive Socratic approach as the review method using Hofmann's question list, conducted a comprehensive literature search in biomedical, psychological and ethics bibliographic databases and screened the resulting hits in a 2-step selection process. Relevant arguments were assembled from the included articles, and were assessed and assigned to the question list. Hofmann's questions were addressed by synthesizing these arguments. Results Of the identified 879 documents 102 included arguments related to one or more questions from Hofmann's question list. The most important ethical issues were the implementation of ASCT in clinical practice on the basis of phase-II trials in the 1990s and the publication of falsified data in the first randomized controlled trials (Bezwoda fraud, which caused significant negative effects on recruiting patients for further clinical trials and the doctor-patient relationship. Recent meta-analyses report a marginal effect in prolonging disease-free survival, accompanied by severe harms, including death. ASCT in breast cancer remains a stigmatized technology. Reported health-related-quality-of-life data are often at high risk of bias in favor of the survivors. Furthermore little attention has been paid to those patients who were dying. Conclusions The questions were addressed in different degrees of completeness. All arguments were assignable to the questions. The central ethical dimensions of ASCT could be discussed by reviewing the published literature.

  4. Iranian Breast Cancer Bio-Bank: the activity and challenging issues.

    Science.gov (United States)

    Majidzadeh-A, Keivan; Kaviani, Ahmad; Esmaeili, Rezvan; Farahmand, Leila; Shojamoradi, Mohammad Hossein; Zare, Ali Akbar; Eini, Leila; Abbasvandi, Fereshteh; Olfatbakhsh, Asieh; Moazen, Hadi

    2013-03-01

    The information gained from the Human Genome Project has facilitated molecular as well as cellular studies not only to find the origins of Breast Cancer (BC), but also to create novel, and effective treatments. In order to provide an infrastructure for local and international research in this area, Iranian Center for Breast Cancer (ICBC) has established a Bio-Bank (BB) for BC. This article describes the aim, structure, and activities in general, and the challenging issues confronting the bank as a model for the establishment of Bio-Banks in developing countries in particular. The methods employed by the Bank could be explained in the following categories: Blood and Tissue sampling, Preparation and Banking of collected Samples, Clinical and Histopathology data collection, Collaboration Protocol, Challenging issues, and the programs to confront the problems. During the five-year activity of the bank, 110 families were enrolled for genetic counseling, from whom 600 biologic samples were obtained, including 387 blood samples and 213 tissue samples. Of 387 blood samples, 317 (82%) were found to belong to the BC patients and the remaining 70 (18%) belonged to their available relatives. The number of samples increased over the study period partly as a result of the programs designed to confront the problems. During the study period, there were some finished research studies using the samples of BB, and many other studies which are still ongoing. ICBC-BB is a model of biologic sample banking which provides a significant number of biological samples for local and international collaborative research projects regarding molecular and cellular aspects of BC. In establishing the ICBC-BB we have experienced problems and challenges, some general and some local. Some were expected and others not, but we have identified solutions.

  5. Reflections on the New Classification of Tumors by the WHO and Changes in Esophageal Cancer in a High-risk Area

    Institute of Scientific and Technical Information of China (English)

    Zhifeng Chen

    2006-01-01

    In year 2000, a book entitled the Pathology and Genetics of Tumors of the Digestive System was published by the WHO, presenting some new diagnostic criteria and treatment principles. I have analyzed the epidemiologic change of tumors in over 30 years in the high-risk area with esophageal cancer. The following phenomenon was found: accompanied by the sharp decrease in the incidence and mortality of esophageal cancer, there was an increase in the incidence and death rate of stomach cancer involving cardiac cancer. This fact should be considered when analyzing the sharp decrease in esophageal cancer incidence and mortality rate. More attention was given to diagnosis of cardiac cancer; at the same time it is more practical to improve the early screening of cancers. To observe the development of high and lowgrade intraepithelial neoplasms will be an urgent task for esophageal cancer research in the high risk area, according to WHO's new classification.

  6. IDM-PhyChm-Ens: intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids.

    Science.gov (United States)

    Ali, Safdar; Majid, Abdul; Khan, Asifullah

    2014-04-01

    Development of an accurate and reliable intelligent decision-making method for the construction of cancer diagnosis system is one of the fast growing research areas of health sciences. Such decision-making system can provide adequate information for cancer diagnosis and drug discovery. Descriptors derived from physicochemical properties of protein sequences are very useful for classifying cancerous proteins. Recently, several interesting research studies have been reported on breast cancer classification. To this end, we propose the exploitation of the physicochemical properties of amino acids in protein primary sequences such as hydrophobicity (Hd) and hydrophilicity (Hb) for breast cancer classification. Hd and Hb properties of amino acids, in recent literature, are reported to be quite effective in characterizing the constituent amino acids and are used to study protein foldings, interactions, structures, and sequence-order effects. Especially, using these physicochemical properties, we observed that proline, serine, tyrosine, cysteine, arginine, and asparagine amino acids offer high discrimination between cancerous and healthy proteins. In addition, unlike traditional ensemble classification approaches, the proposed 'IDM-PhyChm-Ens' method was developed by combining the decision spaces of a specific classifier trained on different feature spaces. The different feature spaces used were amino acid composition, split amino acid composition, and pseudo amino acid composition. Consequently, we have exploited different feature spaces using Hd and Hb properties of amino acids to develop an accurate method for classification of cancerous protein sequences. We developed ensemble classifiers using diverse learning algorithms such as random forest (RF), support vector machines (SVM), and K-nearest neighbor (KNN) trained on different feature spaces. We observed that ensemble-RF, in case of cancer classification, performed better than ensemble-SVM and ensemble-KNN. Our

  7. Interactive Naive Bayesian network: A new approach of constructing gene-gene interaction network for cancer classification.

    Science.gov (United States)

    Tian, Xue W; Lim, Joon S

    2015-01-01

    Naive Bayesian (NB) network classifier is a simple and well-known type of classifier, which can be easily induced from a DNA microarray data set. However, a strong conditional independence assumption of NB network sometimes can lead to weak classification performance. In this paper, we propose a new approach of interactive naive Bayesian (INB) network to weaken the conditional independence of NB network and classify cancers using DNA microarray data set. We selected the differently expressed genes (DEGs) to reduce the dimension of the microarray data set. Then, an interactive parent which has the biggest influence among all DEGs is searched for each DEG. And then we calculate a weight to represent the interactive relationship between a DEG and its parent. Finally, the gene-gene interaction network is constructed. We experimentally test the INB network in terms of classification accuracy using leukemia and colon DNA microarray data sets, then we compare it with the NB network. The INB network can get higher classification accuracies than NB network. And INB network can show the gene-gene interactions visually.

  8. Mechanism-based classification and physical therapy management of persons with cancer pain: A prospective case series

    Directory of Open Access Journals (Sweden)

    Senthil P Kumar

    2013-01-01

    Full Text Available Context: Mechanism-based classification (MBC was established with current evidence and physical therapy (PT management methods for both cancer and for noncancer pain. Aims: This study aims to describe the efficacy of MBC-based PT in persons with primary complaints of cancer pain. Settings and Design: A prospective case series of patients who attended the physiotherapy department of a multispecialty university-affiliated teaching hospital. Material and Methods: A total of 24 adults (18 female, 6 male aged 47.5 ± 10.6 years, with primary diagnosis of heterogeneous group of cancer, chief complaints of chronic disabling pain were included in the study on their consent for participation The patients were evaluated and classified on the basis of five predominant mechanisms for pain. Physical therapy interventions were recommended based on mechanisms identified and home program was prescribed with a patient log to ensure compliance. Treatments were given in five consecutive weekly sessions for five weeks each of 30 min duration. Statistical Analysis Used: Pre-post comparisons for pain severity (PS and pain interference (PI subscales of Brief pain inventory-Cancer pain (BPI-CP and, European organization for research and treatment in cancer-quality of life questionnaire (EORTC-QLQ-C30 were done using Wilcoxon signed-rank test at 95% confidence interval using SPSS for Windows version 16.0 (SPSS Inc, Chicago, IL. Results: There were statistically significant ( P < 0.05 reduction in pain severity, pain interference and total BPI-CP scores, and the EORTC-QLQ-C30. Conclusion: MBC-PT was effective for improving BPI-CP and EORTC-QLQ-C30 scores in people with cancer pain.

  9. Breast Cancer Survival Defined by the ER/PR/HER2 Subtypes and a Surrogate Classification according to Tumor Grade and Immunohistochemical Biomarkers

    Directory of Open Access Journals (Sweden)

    Carol A. Parise

    2014-01-01

    Full Text Available Introduction. ER, PR, and HER2 are routinely available in breast cancer specimens. The purpose of this study is to contrast breast cancer-specific survival for the eight ER/PR/HER2 subtypes with survival of an immunohistochemical surrogate for the molecular subtype based on the ER/PR/HER2 subtypes and tumor grade. Methods. We identified 123,780 cases of stages 1–3 primary female invasive breast cancer from California Cancer Registry. The surrogate classification was derived using ER/PR/HER2 and tumor grade. Kaplan-Meier survival analysis and Cox proportional hazards modeling were used to assess differences in survival and risk of mortality for the ER/PR/HER2 subtypes and surrogate classification within each stage. Results. The luminal B/HER2− surrogate classification had a higher risk of mortality than the luminal B/HER2+ for all stages of disease. There was no difference in risk of mortality between the ER+/PR+/HER2− and ER+/PR+/HER2+ in stage 3. With one exception in stage 3, the ER-negative subtypes all had an increased risk of mortality when compared with the ER-positive subtypes. Conclusions. Assessment of survival using ER/PR/HER2 illustrates the heterogeneity of HER2+ subtypes. The surrogate classification provides clear separation in survival and adjusted mortality but underestimates the wide variability within the subtypes that make up the classification.

  10. Automated breast cancer detection and classification using ultrasound images: A survey

    OpenAIRE

    2010-01-01

    Breast cancer is the second leading cause of death for women all over the world. Since the cause of the disease remains unknown,early detection and diagnos is is the key for breast cancer control,and it can increase the success of treatment,save lives and reduce cost.

  11. Classification and Diagnostic Output Prediction of Cancer Using Gene Expression Profiling and Supervised Machine Learning Algorithms

    DEFF Research Database (Denmark)

    Yoo, C.; Gernaey, Krist

    2008-01-01

    In this paper, a new supervised clustering and classification method is proposed. First, the application of discriminant partial least squares (DPLS) for the selection of a minimum number of key genes is applied on a gene expression microarray data set. Second, supervised hierarchical clustering ...

  12. Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data

    DEFF Research Database (Denmark)

    List, Markus; Hauschild, Anne-Christin; Tan, Qihua;

    2014-01-01

    on the transcriptomic, but also on an epigenetic level. We compared so-called random forest derived classification models based on gene expression and methylation data alone, to a model based on the combined features and to a model based on the gold standard PAM50. We obtained bootstrap errors of 10...

  13. Classification of follicular cell-derived thyroid cancer by global RNA profiling

    DEFF Research Database (Denmark)

    Rossing, Maria

    2013-01-01

    The incidence of thyroid cancer is increasing worldwide and thyroid nodules are a frequent clinical finding. Diagnosing follicular cell-derived cancers is, however, challenging both histopathologically and especially cytopathologically. The advent of high-throughput molecular technologies has...... profiling of follicular cell-derived thyroid cancers....... prompted many researchers to explore the transcriptome and, in recent years, also the miRNome in order to generate new molecular classifiers capable of classifying thyroid tumours more accurately than by conventional cytopathological and histopathological methods. This has led to a number of molecular...

  14. A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability

    NARCIS (Netherlands)

    H.M.J. Sontrop; P.D. Moerland; R. van den Ham; M.J.T. Reinders; W.F.J. Verhaegh

    2009-01-01

    Background: Large discrepancies in signature composition and outcome concordance have been observed between different microarray breast cancer expression profiling studies. This is often ascribed to differences in array platform as well as biological variability. We conjecture that other reasons for

  15. Classification of Epstein-Barr virus-positive gastric cancers by definition of DNA methylation epigenotypes.

    Science.gov (United States)

    Matsusaka, Keisuke; Kaneda, Atsushi; Nagae, Genta; Ushiku, Tetsuo; Kikuchi, Yasuko; Hino, Rumi; Uozaki, Hiroshi; Seto, Yasuyuki; Takada, Kenzo; Aburatani, Hiroyuki; Fukayama, Masashi

    2011-12-01

    Epstein-Barr virus (EBV) is associated with Burkitt lymphoma, nasopharyngeal carcinoma, opportunistic lymphomas in immunocompromised hosts, and a fraction of gastric cancers. Aberrant promoter methylation accompanies human gastric carcinogenesis, though the contribution of EBV to such somatic methylation changes has not been fully clarified. We analyzed promoter methylation in gastric cancer cases with Illumina's Infinium BeadArray and used hierarchical clustering analysis to classify gastric cancers into 3 subgroups: EBV(-)/low methylation, EBV(-)/high methylation, and EBV(+)/high methylation. The 3 epigenotypes were characterized by 3 groups of genes: genes methylated specifically in the EBV(+) tumors (e.g., CXXC4, TIMP2, and PLXND1), genes methylated both in EBV(+) and EBV(-)/high tumors (e.g., COL9A2, EYA1, and ZNF365), and genes methylated in all of the gastric cancers (e.g., AMPH, SORCS3, and AJAP1). Polycomb repressive complex (PRC) target genes in embryonic stem cells were significantly enriched among EBV(-)/high-methylation genes and commonly methylated gastric cancer genes (P = 2 × 10(-15) and 2 × 10(-34), respectively), but not among EBV(+) tumor-specific methylation genes (P = 0.2), suggesting a different cause for EBV(+)-associated de novo methylation. When recombinant EBV was introduced into the EBV(-)/low-methylation epigenotype gastric cancer cell, MKN7, 3 independently established subclones displayed increases in DNA methylation. The promoters targeted by methylation were mostly shared among the 3 subclones, and the new methylation changes caused gene repression. In summary, DNA methylation profiling classified gastric cancer into 3 epigenotypes, and EBV(+) gastric cancers showed distinct methylation patterns likely attributable to EBV infection.

  16. Classification of bladder cancer cell lines using Raman spectroscopy: a comparison of excitation wavelength, sample substrate and statistical algorithms

    Science.gov (United States)

    Kerr, Laura T.; Adams, Aine; O'Dea, Shirley; Domijan, Katarina; Cullen, Ivor; Hennelly, Bryan M.

    2014-05-01

    Raman microspectroscopy can be applied to the urinary bladder for highly accurate classification and diagnosis of bladder cancer. This technique can be applied in vitro to bladder epithelial cells obtained from urine cytology or in vivo as an optical biopsy" to provide results in real-time with higher sensitivity and specificity than current clinical methods. However, there exists a high degree of variability across experimental parameters which need to be standardised before this technique can be utilized in an everyday clinical environment. In this study, we investigate different laser wavelengths (473 nm and 532 nm), sample substrates (glass, fused silica and calcium fluoride) and multivariate statistical methods in order to gain insight into how these various experimental parameters impact on the sensitivity and specificity of Raman cytology.

  17. Nasal metastases from renal cell carcinoma are associated with Memorial Sloan-Kettering Cancer Center poor-prognosis classification

    Institute of Scientific and Technical Information of China (English)

    Caroline Victoria Choong; Tiffany Tang; Wen Yee Chay; Christopher Goh; Miah Hiang Tay; Nor Azhari Mohd Zam; Puay Hoon Tan; Min-Han Tan

    2011-01-01

    Unusual sites of metastases are recognized in patients with renai cell carcinoma (RCC). However, the prognostic implications of these sites are not well understood. We used the Memorial Sloan-Kettering Cancer Center (MSKCC) risk classification for metastatic RCC to evaluate 912 consecutive patients with RCC managed at the Singapore General Hospital between 1990 and 2009. Among these patients, 301 had metastases either at diagnosis or during the course of illness. Nasal metastases, all arising from clear cell RCC, were identified histologically in 4 patients (1.3% of those with metastasis). All 4 patients were classified as MSKCC poor prognosis by current risk criteria. Nasal metastases were significantly associated with lung and bone metastases. The frequency of nasal metastases in patients with metastatic RCC is about 1%, occurring predominantly in patients with clear cell RCC. Nasal metastases are associated with poor prognosis as estimated by the MSKCC risk classification, with attendant implications for selection of targeted therapy, and are usually associated with multi-organ dissemination, including concurrent lung and bone involvement.

  18. Side effects of cancer therapies. International classification and documentation systems; Nebenwirkungen in der Onkologie. Internationale Systematik und Dokumentation

    Energy Technology Data Exchange (ETDEWEB)

    Seegenschmiedt, M.H. [Erlangen-Nuernberg Univ., Erlangen (Germany). Klinik und Poliklinik fuer Strahlentherapie

    1998-11-01

    The publication presents and explains verified, international classification and documentation systems for side effects induced by cancer treatments, applicable in general and clinical practice and clinical research, and covers in a clearly arranged manner the whole range of treatments, including acute and chronic side effects of chemotherapy and radiotherapy, surgery, or combined therapies. The book fills a long-felt need in tumor documentation and is a major contribution to quality assurance in clinical oncology in German-speaking countries. As most parts of the book are bilingual, presenting German and English texts and terminology, it satisfies the principles of interdisciplinarity and internationality. The tabulated form chosen for presentation of classification systems and criteria facilitate the user`s approach as well as application in daily work. (orig./CB) [Deutsch] International abgesicherte Klassifikationen von Nebenwirkungen in der Onkologie - anwendbar in Praxis, Klinik und klinischer Forschung - stehen im Mittelpunkt dieses Werkes. Dies bezieht akute und chronische Nebenwirkungen nach Chemo- und Radiotherapie, Chirurgie oder kombinierten Therapieverfahren mit ein. Das Buch schliesst eine grosse Luecke in der Tumordokumentation und traegt somit wesentlich zur Qualitaetssicherung in der klinischen Onkologie im deutschsprachigen Raum bei. Durch die meist zweisprachige Ausfuehrung in Englisch und Deutsch erfuellt es das Prinzip der Interdisziplinaritaet sowie das Prinzip der Internationalitaet. Die tabellarische Darstellung erleichtert die praktische Arbeit, und die vorgeschlagenen Formblaetter unterstuetzen die praktische Umsetzung im Alltag. (orig.)

  19. Classification of dynamic contrast enhanced MR images of cervical cancers using texture analysis and support vector machines.

    Science.gov (United States)

    Torheim, Turid; Malinen, Eirik; Kvaal, Knut; Lyng, Heidi; Indahl, Ulf G; Andersen, Erlend K F; Futsaether, Cecilia M

    2014-08-01

    Dynamic contrast enhanced MRI (DCE-MRI) provides insight into the vascular properties of tissue. Pharmacokinetic models may be fitted to DCE-MRI uptake patterns, enabling biologically relevant interpretations. The aim of our study was to determine whether treatment outcome for 81 patients with locally advanced cervical cancer could be predicted from parameters of the Brix pharmacokinetic model derived from pre-chemoradiotherapy DCE-MRI. First-order statistical features of the Brix parameters were used. In addition, texture analysis of Brix parameter maps was done by constructing gray level co-occurrence matrices (GLCM) from the maps. Clinical factors and first- and second-order features were used as explanatory variables for support vector machine (SVM) classification, with treatment outcome as response. Classification models were validated using leave-one-out cross-model validation. A random value permutation test was used to evaluate model significance. Features derived from first-order statistics could not discriminate between cured and relapsed patients (specificity 0%-20%, p-values close to unity). However, second-order GLCM features could significantly predict treatment outcome with accuracies (~70%) similar to the clinical factors tumor volume and stage (69%). The results indicate that the spatial relations within the tumor, quantified by texture features, were more suitable for outcome prediction than first-order features.

  20. Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: texture-based classification of tissue morphologies

    Science.gov (United States)

    Turkki, Riku; Linder, Nina; Kovanen, Panu E.; Pellinen, Teijo; Lundin, Johan

    2016-03-01

    The characteristics of immune cells in the tumor microenvironment of breast cancer capture clinically important information. Despite the heterogeneity of tumor-infiltrating immune cells, it has been shown that the degree of infiltration assessed by visual evaluation of hematoxylin-eosin (H and E) stained samples has prognostic and possibly predictive value. However, quantification of the infiltration in H and E-stained tissue samples is currently dependent on visual scoring by an expert. Computer vision enables automated characterization of the components of the tumor microenvironment, and texture-based methods have successfully been used to discriminate between different tissue morphologies and cell phenotypes. In this study, we evaluate whether local binary pattern texture features with superpixel segmentation and classification with support vector machine can be utilized to identify immune cell infiltration in H and E-stained breast cancer samples. Guided with the pan-leukocyte CD45 marker, we annotated training and test sets from 20 primary breast cancer samples. In the training set of arbitrary sized image regions (n=1,116) a 3-fold cross-validation resulted in 98% accuracy and an area under the receiver-operating characteristic curve (AUC) of 0.98 to discriminate between immune cell -rich and - poor areas. In the test set (n=204), we achieved an accuracy of 96% and AUC of 0.99 to label cropped tissue regions correctly into immune cell -rich and -poor categories. The obtained results demonstrate strong discrimination between immune cell -rich and -poor tissue morphologies. The proposed method can provide a quantitative measurement of the degree of immune cell infiltration and applied to digitally scanned H and E-stained breast cancer samples for diagnostic purposes.

  1. Study on image feature extraction and classification for human colorectal cancer using optical coherence tomography

    Science.gov (United States)

    Huang, Shu-Wei; Yang, Shan-Yi; Huang, Wei-Cheng; Chiu, Han-Mo; Lu, Chih-Wei

    2011-06-01

    Most of the colorectal cancer has grown from the adenomatous polyp. Adenomatous lesions have a well-documented relationship to colorectal cancer in previous studies. Thus, to detect the morphological changes between polyp and tumor can allow early diagnosis of colorectal cancer and simultaneous removal of lesions. OCT (Optical coherence tomography) has been several advantages including high resolution and non-invasive cross-sectional image in vivo. In this study, we investigated the relationship between the B-scan OCT image features and histology of malignant human colorectal tissues, also en-face OCT image and the endoscopic image pattern. The in-vitro experiments were performed by a swept-source optical coherence tomography (SS-OCT) system; the swept source has a center wavelength at 1310 nm and 160nm in wavelength scanning range which produced 6 um axial resolution. In the study, the en-face images were reconstructed by integrating the axial values in 3D OCT images. The reconstructed en-face images show the same roundish or gyrus-like pattern with endoscopy images. The pattern of en-face images relate to the stages of colon cancer. Endoscopic OCT technique would provide three-dimensional imaging and rapidly reconstruct en-face images which can increase the speed of colon cancer diagnosis. Our results indicate a great potential for early detection of colorectal adenomas by using the OCT imaging.

  2. 6 Common Cancers - Lung Cancer

    Science.gov (United States)

    ... Bar Home Current Issue Past Issues 6 Common Cancers - Lung Cancer Past Issues / Spring 2007 Table of Contents For ... Desperate Housewives. (Photo ©2005 Kathy Hutchins / Hutchins) Lung Cancer Lung cancer causes more deaths than the next ...

  3. 6 Common Cancers - Skin Cancer

    Science.gov (United States)

    ... Bar Home Current Issue Past Issues 6 Common Cancers - Skin Cancer Past Issues / Spring 2007 Table of Contents For ... AP Photo/Herald-Mail, Kevin G. Gilbert Skin Cancer Skin cancer is the most common form of ...

  4. A 30-year perspective on psychosocial issues in lung cancer: how lung cancer "Came out of the Closet".

    Science.gov (United States)

    Weiss, Talia; Weinberger, Mark; Schwerd, Arielle M; Holland, Jimmie

    2012-11-01

    Psychological responses to lung cancer have changed over the past 30 years as perceptions of the disease have changed. Previously seen as a fatal diagnosis, it is now regarded as a cancer whose treatment is increasingly effective as the science of the disease advances. The stigma of smoking is diminishing as more is learned about genetic factors and as more nonsmokers are diagnosed. Support groups are now widely available. The increasing social support and greater knowledge of lung cancer provide a more supportive environment in which patients cope with lung cancer today compared with 30 years ago.

  5. Classification of a palliative care population in a comprehensive cancer centre

    DEFF Research Database (Denmark)

    Benthien, K.S; Nordly, M.; Videbæk, K.;

    2016-01-01

    and receiving specialist palliative care (SPC). METHODS: This is a cross-sectional screening study of patients with cancer in the Department of Oncology, Rigshospitalet, Copenhagen University Hospital for 6 months. Patients were assessed to be included in the DOMUS study: a randomised controlled trial...... of accelerated transition to SPC at home (NCT01885637). The PCP was classified as patients with incurable cancer and limited or no antineoplastic treatment options. Patients with performance status 2-4 were further classified as the essential palliative care population (EPCP). RESULTS: During the study period......, 3717 patients with cancer were assessed. The PCP comprised 513 patients yielding a prevalence of 14 %. The EPCP comprised 256 patients (7 %). The EPCP was older, more likely inpatients, had a higher comorbidity burden and 38 % received SPC. Women, patients without caregivers and patients with breast...

  6. Study on Biopharmaceutics Classification and Oral Bioavailability of a Novel Multikinase Inhibitor NCE for Cancer Therapy

    Science.gov (United States)

    Yang, Yang; Fan, Chun-Mei; He, Xuan; Ren, Ke; Zhang, Jin-Kun; He, Ying-Ju; Yu, Luo-Ting; Zhao, Ying-Lan; Gong, Chang-Yang; Zheng, Yu; Song, Xiang-Rong; Zeng, Jun

    2014-01-01

    Specific biopharmaceutics classification investigation and study on phamacokinetic profile of a novel drug candidate (2-methylcarbamoyl-4-{4-[3- (trifluoromethyl) benzamido] phenoxy} pyridinium 4-methylbenzenesulfonate monohydrate, NCE) were carried out. Equilibrium solubility and intrinsic dissolution rate (IDR) of NCE were estimated in different phosphate buffers. Effective intestinal permeability (Peff) of NCE was determined using single-pass intestinal perfusion technique in rat duodenum, jejunum and ileum at three concentrations. Theophylline (high permeability) and ranitidine (low permeability) were also applied to access the permeability of NCE as reference compounds. The bioavailability after intragastrical and intravenous administration was measured in beagle dogs. The solubility of NCE in tested phosphate buffers was quite low with the maximum solubility of 81.73 μg/mL at pH 1.0. The intrinsic dissolution ratio of NCE was 1 × 10−4 mg·min−1·cm−2. The Peff value of NCE in all intestinal segments was more proximate to the high-permeability reference theophylline. Therefore, NCE was classified as class II drug according to Biopharmaceutics Classification System due to its low solubility and high intestinal permeability. In addition, concentration-dependent permeability was not observed in all the segments, indicating that there might be passive transportation for NCE. The absolute oral bioavailability of NCE in beagle dogs was 26.75%. Therefore, dissolution promotion will be crucial for oral formulation development and intravenous administration route will also be suggested for further NCE formulation development. All the data would provide a reference for biopharmaceutics classification research of other novel drug candidates. PMID:24776763

  7. Study on Biopharmaceutics Classification and Oral Bioavailability of a Novel Multikinase Inhibitor NCE for Cancer Therapy

    Directory of Open Access Journals (Sweden)

    Yang Yang

    2014-04-01

    Full Text Available Specific biopharmaceutics classification investigation and study on phamacokinetic profile of a novel drug candidate (2-methylcarbamoyl-4-{4-[3- (trifluoromethyl benzamido] phenoxy} pyridinium 4-methylbenzenesulfonate monohydrate, NCE were carried out. Equilibrium solubility and intrinsic dissolution rate (IDR of NCE were estimated in different phosphate buffers. Effective intestinal permeability (Peff of NCE was determined using single-pass intestinal perfusion technique in rat duodenum, jejunum and ileum at three concentrations. Theophylline (high permeability and ranitidine (low permeability were also applied to access the permeability of NCE as reference compounds. The bioavailability after intragastrical and intravenous administration was measured in beagle dogs. The solubility of NCE in tested phosphate buffers was quite low with the maximum solubility of 81.73 μg/mL at pH 1.0. The intrinsic dissolution ratio of NCE was 1 × 10−4 mg·min−1·cm−2. The Peff value of NCE in all intestinal segments was more proximate to the high-permeability reference theophylline. Therefore, NCE was classified as class II drug according to Biopharmaceutics Classification System due to its low solubility and high intestinal permeability. In addition, concentration-dependent permeability was not observed in all the segments, indicating that there might be passive transportation for NCE. The absolute oral bioavailability of NCE in beagle dogs was 26.75%. Therefore, dissolution promotion will be crucial for oral formulation development and intravenous administration route will also be suggested for further NCE formulation development. All the data would provide a reference for biopharmaceutics classification research of other novel drug candidates.

  8. Study on biopharmaceutics classification and oral bioavailability of a novel multikinase inhibitor NCE for cancer therapy.

    Science.gov (United States)

    Yang, Yang; Fan, Chun-Mei; He, Xuan; Ren, Ke; Zhang, Jin-Kun; He, Ying-Ju; Yu, Luo-Ting; Zhao, Ying-Lan; Gong, Chang-Yang; Zheng, Yu; Song, Xiang-Rong; Zeng, Jun

    2014-04-25

    Specific biopharmaceutics classification investigation and study on phamacokinetic profile of a novel drug candidate (2-methylcarbamoyl-4-{4-[3- (trifluoromethyl) benzamido] phenoxy} pyridinium 4-methylbenzenesulfonate monohydrate, NCE) were carried out. Equilibrium solubility and intrinsic dissolution rate (IDR) of NCE were estimated in different phosphate buffers. Effective intestinal permeability (P(eff)) of NCE was determined using single-pass intestinal perfusion technique in rat duodenum, jejunum and ileum at three concentrations. Theophylline (high permeability) and ranitidine (low permeability) were also applied to access the permeability of NCE as reference compounds. The bioavailability after intragastrical and intravenous administration was measured in beagle dogs. The solubility of NCE in tested phosphate buffers was quite low with the maximum solubility of 81.73 μg/mL at pH 1.0. The intrinsic dissolution ratio of NCE was 1 × 10⁻⁴ mg·min⁻¹·cm⁻². The P(eff) value of NCE in all intestinal segments was more proximate to the high-permeability reference theophylline. Therefore, NCE was classified as class II drug according to Biopharmaceutics Classification System due to its low solubility and high intestinal permeability. In addition, concentration-dependent permeability was not observed in all the segments, indicating that there might be passive transportation for NCE. The absolute oral bioavailability of NCE in beagle dogs was 26.75%. Therefore, dissolution promotion will be crucial for oral formulation development and intravenous administration route will also be suggested for further NCE formulation development. All the data would provide a reference for biopharmaceutics classification research of other novel drug candidates.

  9. Statistical Redundancy Testing for Improved Gene Selection in Cancer Classification Using Microarray Data

    Directory of Open Access Journals (Sweden)

    J. Sunil Rao

    2007-01-01

    Full Text Available In gene selection for cancer classifi cation using microarray data, we define an eigenvalue-ratio statistic to measure a gene’s contribution to the joint discriminability when this gene is included into a set of genes. Based on this eigenvalueratio statistic, we define a novel hypothesis testing for gene statistical redundancy and propose two gene selection methods. Simulation studies illustrate the agreement between statistical redundancy testing and gene selection methods. Real data examples show the proposed gene selection methods can select a compact gene subset which can not only be used to build high quality cancer classifiers but also show biological relevance.

  10. Application of SVM classifier in thermographic image classification for early detection of breast cancer

    Science.gov (United States)

    Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał

    2016-09-01

    This article presents the application of machine learning algorithms for early detection of breast cancer on the basis of thermographic images. Supervised learning model: Support vector machine (SVM) and Sequential Minimal Optimization algorithm (SMO) for the training of SVM classifier were implemented. The SVM classifier was included in a client-server application which enables to create a training set of examinations and to apply classifiers (including SVM) for the diagnosis and early detection of the breast cancer. The sensitivity and specificity of SVM classifier were calculated based on the thermographic images from studies. Furthermore, the heuristic method for SVM's parameters tuning was proposed.

  11. Network-constrained group lasso for high-dimensional multinomial classification with application to cancer subtype prediction.

    Science.gov (United States)

    Tian, Xinyu; Wang, Xuefeng; Chen, Jun

    2014-01-01

    Classic multinomial logit model, commonly used in multiclass regression problem, is restricted to few predictors and does not take into account the relationship among variables. It has limited use for genomic data, where the number of genomic features far exceeds the sample size. Genomic features such as gene expressions are usually related by an underlying biological network. Efficient use of the network information is important to improve classification performance as well as the biological interpretability. We proposed a multinomial logit model that is capable of addressing both the high dimensionality of predictors and the underlying network information. Group lasso was used to induce model sparsity, and a network-constraint was imposed to induce the smoothness of the coefficients with respect to the underlying network structure. To deal with the non-smoothness of the objective function in optimization, we developed a proximal gradient algorithm for efficient computation. The proposed model was compared to models with no prior structure information in both simulations and a problem of cancer subtype prediction with real TCGA (the cancer genome atlas) gene expression data. The network-constrained mode outperformed the traditional ones in both cases.

  12. Improved Classification of Epithelial Ovarian Cancer: Results of 3 Danish Cohorts

    DEFF Research Database (Denmark)

    Steffensen, Karina Dahl; Waldstrom, Marianne; Grove, Anni

    2011-01-01

    An increasing body of evidence has suggested that epithelial ovarian cancer (EOC) patients can broadly be divided into 2 groups on the basis of histopathologic parameters and molecular profiles. Type 1 tumors are slow-growing tumors with inherent mutations such as KRAS or BRAF mutations, whereas...

  13. Obesity, metabolic dysregulation, and cancer: a growing concern and an inflammatory (and microenvironmental) issue.

    Science.gov (United States)

    Hursting, Stephen D; Dunlap, Sarah M

    2012-10-01

    Obesity is an established risk and progression factor for many cancers. In the United States more than one-third of adults, and nearly one in five children, are currently obese. Thus, a better understanding of the mechanistic links between obesity and cancer is urgently needed to identify intervention targets and strategies to offset the procancer effects of obesity. This review synthesizes the evidence on key biological mechanisms underlying the obesity-cancer association, with particular emphasis on obesity-associated enhancements in growth factor signaling, inflammation, and perturbations in the tumor microenvironment. These interrelated pathways and processes represent mechanistic targets for disrupting the obesity-cancer link.

  14. Influence of trihalomethanes according to Koppën climatological classification and Lang's index, on mortality associated with stomach and bladder cancer by geographic areas in Spain

    Directory of Open Access Journals (Sweden)

    Patricia Jiménez Restrepo

    2011-12-01

    Full Text Available The present study aims to determine the levels of trihalomethanes (THMs in drinking water from different Spanish cities, and assess whether the temperature and rainfall influence them. Also assess the possible association of THM to mortality from stomach cancer and bladder. For this we took water samples from 49 cities in 2002, 2005 and 2006, which were analyzed by gas chromatography coupled with mass spectrometry obtaining THM levels. Climatic classifications were made according Koppën Lang and index the data of temperature and precipitation, and finally death rates from cancer of the stomach and bladder were standardized by sex and age. We found a decrease in the levels of THMs in Spain over time, managing to be below the limits established by Royal Decree 140/2003, but three cities studied. The results indicate that climatic classifications most of the Spanish territory has a temperate climate type - Wet. However it was found that different climatic zones exhibit an influence on the levels of THMs. Nor was significant correlation of the levels of THM with cancer of stomach and bladder, but is significant between stomach cancer and Köppen climate classification. It should continue with studies that include other variables allow clarifying and / or strengthening these results.

  15. Comparative Analysis of Feature Extraction Methods for the Classification of Prostate Cancer from TRUS Medical Images

    Directory of Open Access Journals (Sweden)

    Manavalan Radhakrishnan

    2012-01-01

    Full Text Available Diagnosing Prostate cancer is a challenging task for Urologists, Radiologists, and Oncologists. Ultrasound imaging is one of the hopeful techniques used for early detection of prostate cancer. The Region of interest (ROI is identified by different methods after preprocessing. In this paper, DBSCAN clustering with morphological operators is used to extort the prostate region. The evaluation of texture features is important for several image processing applications. The performance of the features extracted from the various texture methods such as histogram, Gray Level Cooccurrence Matrix (GLCM, Gray-Level Run-Length Matrix (GRLM, are analyzed separately. In this paper, it is proposed to combine histogram, GLRLM and GLCM in order to study the performance. The Support Vector Machine (SVM is adopted to classify the extracted features into benign or malignant. The performance of texture methods are evaluated using various statistical parameters such as sensitivity, specificity and accuracy. The comparative analysis has been performed over 5500 digitized TRUS images of prostate.

  16. Feature selection and definition for contours classification of thermograms in breast cancer detection

    Science.gov (United States)

    Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał; Oleszkiewicz, Witold; Cichosz, Paweł

    2016-09-01

    This contribution introduces the method of cancer pathologies detection on breast skin temperature distribution images. The use of thermosensitive foils applied to the breasts skin allows to create thermograms, which displays the amount of infrared energy emitted by all breast cells. The significant foci of hyperthermia or inflammation are typical for cancer cells. That foci can be recognized on thermograms as a contours, which are the areas of higher temperature. Every contour can be converted to a feature set that describe it, using the raw, central, Hu, outline, Fourier and colour moments of image pixels processing. This paper defines also the new way of describing a set of contours through theirs neighbourhood relations. Contribution introduces moreover the way of ranking and selecting most relevant features. Authors used Neural Network with Gevrey`s concept and recursive feature elimination, to estimate feature importance.

  17. Next-Generation Sequencing in Oncology: Genetic Diagnosis, Risk Prediction and Cancer Classification

    Directory of Open Access Journals (Sweden)

    Rick Kamps

    2017-01-01

    Full Text Available Next-generation sequencing (NGS technology has expanded in the last decades with significant improvements in the reliability, sequencing chemistry, pipeline analyses, data interpretation and costs. Such advances make the use of NGS feasible in clinical practice today. This review describes the recent technological developments in NGS applied to the field of oncology. A number of clinical applications are reviewed, i.e., mutation detection in inherited cancer syndromes based on DNA-sequencing, detection of spliceogenic variants based on RNA-sequencing, DNA-sequencing to identify risk modifiers and application for pre-implantation genetic diagnosis, cancer somatic mutation analysis, pharmacogenetics and liquid biopsy. Conclusive remarks, clinical limitations, implications and ethical considerations that relate to the different applications are provided.

  18. Towards a molecular classification of colorectal cancer: The role of MGMT

    Directory of Open Access Journals (Sweden)

    Parham eMinoo

    2013-10-01

    Full Text Available O6-methylguanine DNA methyltransferase (MGMT is a DNA repair enzyme with the ability to protect cells from DNA mutations by removing alkyl groups from the O6 position of guanine. Colon mucosa is exposed to the direct effects of environmental carcinogens and therefore maintaining a proficient DNA repair system is very important to stay protected against DNA mutagenesis. Loss of MGMT expression is almost exclusively associated with methylation of CpG islands in the MGMT gene promoter region which is found in approximately 40% of colorectal cancers. The role of MGMT loss in colorectal tumorigenesis is complex but numerous studies have documented methylation of this gene even in the normal appearing mucosa as well as in aberrant crypt foci, suggesting that MGMT methylation can be regarded as an early event or field defect in colon cancer neoplasia. The focus of this perspective is the role of MGMT in different pathways of colorectal carcinogenesis as well as the implication of this molecule in treatment decisions in colorectal cancer patients.

  19. Carcinoma de mama: novos conceitos na classificação Breast cancer: new concepts in classification

    Directory of Open Access Journals (Sweden)

    Daniella Serafin Couto Vieira

    2008-01-01

    and the basis for and improved breast cancer molecular taxonomy. Another important implication is that genetic profiling may lead to the identification of new target for therapy and better predictive markers are needed to guide difficult treatment decisions. Additionally, the current pathology classification system is suboptimal, since patients with identical tumor types and stage of disease present different responses to therapy and different overall outcomes. Basal breast tumor represents one of the most intriguing subtypes and is frequently associated with poor prognosis and absence of putative therapeutic targets. Then, the purpose of this review was to resume the most recent knowledge about the breast carcinoma classification and characterization.

  20. The causality between smoking and lung cancer among groups and individuals: addressing issues in tobacco litigation in South Korea

    Science.gov (United States)

    Khang, Young-Ho

    2015-01-01

    This article discusses issues on the causality between smoking and lung cancer, which have been raised during the tobacco litigation in South Korea. It should be recognized that the explanatory ability of risk factor(s) for inter-individual variations in disease occurrence is different from the causal contribution of the risk factor(s) to disease occurrence. The affected subjects of the tobacco litigation in South Korea are lung cancer patients with a history of cigarette smoking. Thus, the attributable fraction of the exposed rather than the population attributable fraction should be used in the tobacco litigation regarding the causal contribution of smoking to lung cancer. Scientific evidence for the causal relationship between smoking and lung cancer is based on studies of individuals and groups, studies in animals and humans, studies that are observational or experimental, studies in laboratories and communities, and studies in both underdeveloped and developed countries. The scientific evidence collected is applicable to both groups and individuals. The probability of causation, which is calculated based on the attributable fraction for the association between smoking and lung cancer, could be utilized as evidence to prove causality in individuals. PMID:26137845

  1. Taxonomies in L1 and L2 Reading Strategies: A Critical Review of Issues Surrounding Strategy-Use Definitions and Classifications in Previous Think-Aloud Research

    Science.gov (United States)

    Alkhaleefah, Tarek A.

    2016-01-01

    Considering the various classifications of L1 and L2 reading strategies in previous think-aloud studies, the present review aims to provide a comprehensive look into those various taxonomies reported in major L1 and L2 reading studies. The rationale for this review is not only to offer a comprehensive overview of the different classifications in…

  2. Is cardiac toxicity a relevant issue in the radiation treatment of esophageal cancer?

    NARCIS (Netherlands)

    Beukema, Jannet C; van Luijk, Peter; Widder, Joachim; Langendijk, Johannes A; Muijs, Christina T

    2015-01-01

    Purpose: In recent years several papers have been published on radiation-induced cardiac toxicity, especially in breast cancer patients. However, in esophageal cancer patients the radiation dose to the heart is usually markedly higher. To determine whether radiation-induced cardiac toxicity is also

  3. Cancer and Intellectual Disability: A Review of Some Key Contextual Issues

    Science.gov (United States)

    Hogg, James; Tuffrey-Wijne, Irene

    2008-01-01

    Research into the health of people with intellectual disabilities has increasingly focused on the occurrence of cancer in this population. Information on the incidence and prevalence of cancer is reviewed in both institutional and community settings. Examples of environmental causation are considered including "Helicobacter pylori."…

  4. Clinical utility of reverse phase protein array for molecular classification of breast cancer.

    Science.gov (United States)

    Negm, Ola H; Muftah, Abir A; Aleskandarany, Mohammed A; Hamed, Mohamed R; Ahmad, Dena A J; Nolan, Christopher C; Diez-Rodriguez, Maria; Tighe, Patrick J; Ellis, Ian O; Rakha, Emad A; Green, Andrew R

    2016-01-01

    Reverse Phase Protein Array (RPPA) represents a sensitive and high-throughput technique allowing simultaneous quantitation of protein expression levels in biological samples. This study aimed to confirm the ability of RPPA to classify archival formalin-fixed paraffin-embedded (FFPE) breast cancer tissues into molecular classes used in the Nottingham prognostic index plus (NPI+) determined by immunohistochemistry (IHC). Proteins were extracted from FFPE breast cancer tissues using three extraction protocols: the Q-proteome FFPE Tissue Kit (Qiagen, Hilden, Germany) and two in-house methods using Laemmli buffer with either incubation for 20 min or 2 h at 105 °C. Two preparation methods, full-face sections and macrodissection, were used to assess the yield and quality of protein extracts. Ten biomarkers used for the NPI+ (ER, PgR, HER2, Cytokeratins 5/6 and 7/8, EGFR, HER3, HER4, p53 and Mucin 1) were quantified using RPPA and compared to results determined by IHC. The Q-proteome FFPE Tissue Kit produced significantly higher protein concentration and signal intensities. The intra- and inter-array reproducibility assessment indicated that RPPA using FFPE lysates was a highly reproducible and robust technique. Expression of the biomarkers individually and in combination using RPPA was highly consistent with IHC results. Macrodissection of the invasive tumour component gave more reliable results with the majority of biomarkers determined by IHC, (80 % concordance) compared with full-face sections (60 % concordance). Our results provide evidence for the technical feasibility of RPPA for high-throughput protein expression profiling of FFPE breast cancer tissues. The sensitivity of the technique is related to the quality of extracted protein and purity of tumour tissue. RPPA could provide a quantitative technique alternative to IHC for the biomarkers used in the NPI+.

  5. Cancer

    Science.gov (United States)

    ... cancer Non-Hodgkin lymphoma Ovarian cancer Pancreatic cancer Testicular cancer Thyroid cancer Uterine cancer Symptoms Symptoms of cancer ... tumor Obesity Pancreatic cancer Prostate cancer Stomach cancer Testicular cancer Throat or larynx cancer Thyroid cancer Patient Instructions ...

  6. Clinical study of quantitative diagnosis of early cervical cancer based on the classification of acetowhitening kinetics

    Science.gov (United States)

    Wu, Tao; Cheung, Tak-Hong; Yim, So-Fan; Qu, Jianan Y.

    2010-03-01

    A quantitative colposcopic imaging system for the diagnosis of early cervical cancer is evaluated in a clinical study. This imaging technology based on 3-D active stereo vision and motion tracking extracts diagnostic information from the kinetics of acetowhitening process measured from the cervix of human subjects in vivo. Acetowhitening kinetics measured from 137 cervical sites of 57 subjects are analyzed and classified using multivariate statistical algorithms. Cross-validation methods are used to evaluate the performance of the diagnostic algorithms. The results show that an algorithm for screening precancer produced 95% sensitivity (SE) and 96% specificity (SP) for discriminating normal and human papillomavirus (HPV)-infected tissues from cervical intraepithelial neoplasia (CIN) lesions. For a diagnostic algorithm, 91% SE and 90% SP are achieved for discriminating normal tissue, HPV infected tissue, and low-grade CIN lesions from high-grade CIN lesions. The results demonstrate that the quantitative colposcopic imaging system could provide objective screening and diagnostic information for early detection of cervical cancer.

  7. Coregistered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studies

    Science.gov (United States)

    Salehi, Hassan S.; Li, Hai; Merkulov, Alex; Kumavor, Patrick D.; Vavadi, Hamed; Sanders, Melinda; Kueck, Angela; Brewer, Molly A.; Zhu, Quing

    2016-04-01

    Most ovarian cancers are diagnosed at advanced stages due to the lack of efficacious screening techniques. Photoacoustic tomography (PAT) has a potential to image tumor angiogenesis and detect early neovascular changes of the ovary. We have developed a coregistered PAT and ultrasound (US) prototype system for real-time assessment of ovarian masses. Features extracted from PAT and US angular beams, envelopes, and images were input to a logistic classifier and a support vector machine (SVM) classifier to diagnose ovaries as benign or malignant. A total of 25 excised ovaries of 15 patients were studied and the logistic and SVM classifiers achieved sensitivities of 70.4 and 87.7%, and specificities of 95.6 and 97.9%, respectively. Furthermore, the ovaries of two patients were noninvasively imaged using the PAT/US system before surgical excision. By using five significant features and the logistic classifier, 12 out of 14 images (86% sensitivity) from a malignant ovarian mass and all 17 images (100% specificity) from a benign mass were accurately classified; the SVM correctly classified 10 out of 14 malignant images (71% sensitivity) and all 17 benign images (100% specificity). These initial results demonstrate the clinical potential of the PAT/US technique for ovarian cancer diagnosis.

  8. A colorectal cancer classification system that associates cellular phenotype and responses to therapy.

    Science.gov (United States)

    Sadanandam, Anguraj; Lyssiotis, Costas A; Homicsko, Krisztian; Collisson, Eric A; Gibb, William J; Wullschleger, Stephan; Ostos, Liliane C Gonzalez; Lannon, William A; Grotzinger, Carsten; Del Rio, Maguy; Lhermitte, Benoit; Olshen, Adam B; Wiedenmann, Bertram; Cantley, Lewis C; Gray, Joe W; Hanahan, Douglas

    2013-05-01

    Colorectal cancer (CRC) is a major cause of cancer mortality. Whereas some patients respond well to therapy, others do not, and thus more precise, individualized treatment strategies are needed. To that end, we analyzed gene expression profiles from 1,290 CRC tumors using consensus-based unsupervised clustering. The resultant clusters were then associated with therapeutic response data to the epidermal growth factor receptor-targeted drug cetuximab in 80 patients. The results of these studies define six clinically relevant CRC subtypes. Each subtype shares similarities to distinct cell types within the normal colon crypt and shows differing degrees of 'stemness' and Wnt signaling. Subtype-specific gene signatures are proposed to identify these subtypes. Three subtypes have markedly better disease-free survival (DFS) after surgical resection, suggesting these patients might be spared from the adverse effects of chemotherapy when they have localized disease. One of these three subtypes, identified by filamin A expression, does not respond to cetuximab but may respond to cMET receptor tyrosine kinase inhibitors in the metastatic setting. Two other subtypes, with poor and intermediate DFS, associate with improved response to the chemotherapy regimen FOLFIRI in adjuvant or metastatic settings. Development of clinically deployable assays for these subtypes and of subtype-specific therapies may contribute to more effective management of this challenging disease.

  9. Inflammation, Adenoma and Cancer: Objective Classification of Colon Biopsy Specimens with Gene Expression Signature

    Directory of Open Access Journals (Sweden)

    Orsolya Galamb

    2008-01-01

    Full Text Available Gene expression analysis of colon biopsies using high-density oligonucleotide microarrays can contribute to the understanding of local pathophysiological alterations and to functional classification of adenoma (15 samples, colorectal carcinomas (CRC (15 and inflammatory bowel diseases (IBD (14. Total RNA was extracted, amplified and biotinylated from frozen colonic biopsies. Genome-wide gene expression profile was evaluated by HGU133plus2 microarrays and verified by RT-PCR. We applied two independent methods for data normalization and used PAM for feature selection. Leave one-out stepwise discriminant analysis was performed. Top validated genes included collagenIVα1, lipocalin-2, calumenin, aquaporin-8 genes in CRC; CD44, met proto-oncogene, chemokine ligand-12, ADAM-like decysin-1 and ATP-binding casette-A8 genes in adenoma; and lipocalin-2, ubiquitin D and IFITM2 genes in IBD. Best differentiating markers between Ulcerative colitis and Crohn's disease were cyclin-G2; tripartite motif-containing-31; TNFR shedding aminopeptidase regulator-1 and AMICA. The discriminant analysis was able to classify the samples in overall 96.2% using 7 discriminatory genes (indoleamine-pyrrole-2,3-dioxygenase, ectodermal-neural cortex, TIMP3, fucosyltransferase-8, collectin sub-family member 12, carboxypeptidase D, and transglutaminase-2. Using routine biopsy samples we successfully performed whole genomic microarray analysis to identify discriminative signatures. Our results provide further insight into the pathophysiological background of colonic diseases. The results set up data warehouse which can be mined further.

  10. Clinical audit on "Evaluation of special issues in adolescents with cancer treated in an adult cancer setting": An Indian experience

    Directory of Open Access Journals (Sweden)

    Naveen S Salins

    2012-01-01

    Results: Pain was the most common physical symptom seen in all 10 patients. 3 out of 10 patients were involved in decision making, 3 out of 10 patients had identity issues and 4 out of 10 patients had peer group isolation issues. Only 3 were aware of diagnosis and none were aware of treatment outcomes and mortality. 4 out of 10 had anxiety and depression and 3 out of 10 had body image issues. Sexuality, spiritual and existential issues were not explored in any of the patients studied. Conclusion: The outcomes of the study were in an adult oncology setting there was a poor recognition of key adolescent issues such as sexuality, body image, identity and peer group isolation. The psychosocial supports to these adolescents were minimal and spiritual and existential issues were not explored. The inferences drawn from this study suggested a need for multidisciplinary team approach oriented in handling adolescent care needs and preferably to have a dedicated space that will help the peer group to interact, bond and cope better with the illness.

  11. Progress on the Syndrome Differentiation and Classification of Colon Cancer%大肠癌中医辨正分型研究进展

    Institute of Scientific and Technical Information of China (English)

    刘曼曼; 余涛; 陈曼; 侯风刚

    2012-01-01

    The paper reviewed the etiological factor and pathogenesis of colon cancer and its syndrome differentiation and classification. The study thought it was necessary to unify pattern of syndrome and its standard, especially reinforcing objective studies of four diagnostic on colon cancer.%回顾了近年来大肠癌中医病因病机及辩证分型方面的研究进展,应统一中医证型及其标准,加强对大肠癌四诊客观化的相关研究尤为重要.

  12. Clinical application of a microfluidic chip for immunocapture and quantification of circulating exosomes to assist breast cancer diagnosis and molecular classification

    Science.gov (United States)

    Fang, Shimeng; Tian, Hongzhu; Li, Xiancheng; Jin, Dong; Li, Xiaojie; Kong, Jing; Yang, Chun; Yang, Xuesong; Lu, Yao; Luo, Yong; Lin, Bingcheng; Niu, Weidong

    2017-01-01

    Increasing attention has been attracted by exosomes in blood-based diagnosis because cancer cells release more exosomes in serum than normal cells and these exosomes overexpress a certain number of cancer-related biomarkers. However, capture and biomarker analysis of exosomes for clinical application are technically challenging. In this study, we developed a microfluidic chip for immunocapture and quantification of circulating exosomes from small sample volume and applied this device in clinical study. Circulating EpCAM-positive exosomes were measured in 6 cases breast cancer patients and 3 healthy controls to assist diagnosis. A significant increase in the EpCAM-positive exosome level in these patients was detected, compared to healthy controls. Furthermore, we quantified circulating HER2-positive exosomes in 19 cases of breast cancer patients for molecular classification. We demonstrated that the exosomal HER2 expression levels were almost consistent with that in tumor tissues assessed by immunohistochemical staining. The microfluidic chip might provide a new platform to assist breast cancer diagnosis and molecular classification. PMID:28369094

  13. Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer

    Science.gov (United States)

    Chappelow, Jonathan; Viswanath, Satish; Monaco, James; Rosen, Mark; Tomaszewski, John; Feldman, Michael; Madabhushi, Anant

    2008-03-01

    Computer-aided diagnosis (CAD) systems for the detection of cancer in medical images require precise labeling of training data. For magnetic resonance (MR) imaging (MRI) of the prostate, training labels define the spatial extent of prostate cancer (CaP); the most common source for these labels is expert segmentations. When ancillary data such as whole mount histology (WMH) sections, which provide the gold standard for cancer ground truth, are available, the manual labeling of CaP can be improved by referencing WMH. However, manual segmentation is error prone, time consuming and not reproducible. Therefore, we present the use of multimodal image registration to automatically and accurately transcribe CaP from histology onto MRI following alignment of the two modalities, in order to improve the quality of training data and hence classifier performance. We quantitatively demonstrate the superiority of this registration-based methodology by comparing its results to the manual CaP annotation of expert radiologists. Five supervised CAD classifiers were trained using the labels for CaP extent on MRI obtained by the expert and 4 different registration techniques. Two of the registration methods were affi;ne schemes; one based on maximization of mutual information (MI) and the other method that we previously developed, Combined Feature Ensemble Mutual Information (COFEMI), which incorporates high-order statistical features for robust multimodal registration. Two non-rigid schemes were obtained by succeeding the two affine registration methods with an elastic deformation step using thin-plate splines (TPS). In the absence of definitive ground truth for CaP extent on MRI, classifier accuracy was evaluated against 7 ground truth surrogates obtained by different combinations of the expert and registration segmentations. For 26 multimodal MRI-WMH image pairs, all four registration methods produced a higher area under the receiver operating characteristic curve compared to that

  14. Cardiotoxicity of cancer therapeutics: current issues in screening, prevention and therapy

    Directory of Open Access Journals (Sweden)

    Richard Joseph Sheppard

    2013-03-01

    Full Text Available In the context of modern cancer chemotherapeutics, cancer survivors are living longer and being exposed to potential comorbidities related to non-cancer side effects of such treatments. With close monitoring of cancer patients receiving potentially cardiotoxic medical therapies, oncologists and cardiologists alike are identifying patients in both clinical and subclinical phases of cardiovascular disease related to such chemotherapies. Specifically, cardiotoxicity at the level of the myocardium and potential for the development of heart failure are becoming a growing concern with increasing survival of cancer patients.Traditional chemotherapeutic agents used commonly in the treatment of breast cancer and hematologic malignancies, such as anthracyclines and HER-2 antagonists, are well known to be associated with cardiovascular sequelae. Patients often present without symptoms and an abnormal cardiac imaging study performed as part of routine evaluation of patients receiving cardiotoxic therapies. Additionally, patients can present with signs and symptoms of cardiovascular disease months to years after receiving the chemotherapies. As the understanding of the physiology underlying the various cancers has grown, therapies have been developed that target specific molecules that represent key aspects of physiologic pathways responsible for cancer growth. Inhibition of these pathways, such as those involving tyrosine kinases, has lead to the potential for cardiotoxicity as well. In view of the potential cardiotoxicity of specific chemotherapies, there is a growing interest in identifying patients who are at risk of cardiotoxicity prior to becoming symptomatic or developing cardiotoxicity that may limit the use of potentially life-saving chemotherapy agents. Serological markers and novel cardiac imaging techniques have become the source of many investigations with the goal of screening patients for pre-clinical cardiotoxicity. Additionally, studies have

  15. Cancer as robust intrinsic state shaped by evolution: a key issues review

    Science.gov (United States)

    Yuan, Ruoshi; Zhu, Xiaomei; Wang, Gaowei; Li, Site; Ao, Ping

    2017-04-01

    Cancer is a complex disease: its pathology cannot be properly understood in terms of independent players—genes, proteins, molecular pathways, or their simple combinations. This is similar to many-body physics of a condensed phase that many important properties are not determined by a single atom or molecule. The rapidly accumulating large ‘omics’ data also require a new mechanistic and global underpinning to organize for rationalizing cancer complexity. A unifying and quantitative theory was proposed by some of the present authors that cancer is a robust state formed by the endogenous molecular–cellular network, which is evolutionarily built for the developmental processes and physiological functions. Cancer state is not optimized for the whole organism. The discovery of crucial players in cancer, together with their developmental and physiological roles, in turn, suggests the existence of a hierarchical structure within molecular biology systems. Such a structure enables a decision network to be constructed from experimental knowledge. By examining the nonlinear stochastic dynamics of the network, robust states corresponding to normal physiological and abnormal pathological phenotypes, including cancer, emerge naturally. The nonlinear dynamical model of the network leads to a more encompassing understanding than the prevailing linear-additive thinking in cancer research. So far, this theory has been applied to prostate, hepatocellular, gastric cancers and acute promyelocytic leukemia with initial success. It may offer an example of carrying physics inquiring spirit beyond its traditional domain: while quantitative approaches can address individual cases, however there must be general rules/laws to be discovered in biology and medicine.

  16. Is cancer a disease that can be cured? An answer based on a new classification of diseases

    CERN Document Server

    Richmond, Peter

    2016-01-01

    Is cancer a disease that can be cured or a degenerative disease which comes predominantly with old age? We give an answer based on a two-dimensional representation of diseases. These two dimensions are defined as follows. In mortality curves there is an age, namely a_c = 10 years, which plays a crucial role in the sense that the mortality rate decreases in the interval I1=(aa_c). The respective trends in I1 and I2 are the two parameters used in our classification of diseases. Within the framework of reliability analysis, I1 and I2 would be referred to as the "burn-in" and "wear-out" phases. This leads to define three broad groups of diseases. (AS1) Asymmetry with prevalence of I1. (AS2) Asymmetry with prevalence of I2. (S) Symmetry, with I1 and I2 both playing roles of comparable importance. Not surprisingly, among AS1-cases one finds all diseases due to congenital malformations. In the AS2-class one finds degenerative diseases, e.g. Alzheimer's disease. Among S-cases one finds most diseases due to external p...

  17. Constructing Support Vector Machine Ensembles for Cancer Classification Based on Proteomic Profiling

    Institute of Scientific and Technical Information of China (English)

    Yong Mao; Xiao-Bo Zhou; Dao-Ying Pi; You-Xian Sun

    2005-01-01

    In this study, we present a constructive algorithm for training cooperative support vector machine ensembles (CSVMEs). CSVME combines ensemble architecture design with cooperative training for individual SVMs in ensembles. Unlike most previous studies on training ensembles, CSVME puts emphasis on both accuracy and collaboration among individual SVMs in an ensemble. A group of SVMs selected on the basis of recursive classifier elimination is used in CSVME, and the number of the individual SVMs selected to construct CSVME is determined by 10-fold cross-validation. This kind of SVME has been tested on two ovarian cancer datasets previously obtained by proteomic mass spectrometry. By combining several individual SVMs, the proposed method achieves better performance than the SVME of all base SVMs.

  18. Regularization strategies for hyperplane classifiers: application to cancer classification with gene expression data.

    Science.gov (United States)

    Andries, Erik; Hagstrom, Thomas; Atlas, Susan R; Willman, Cheryl

    2007-02-01

    Linear discrimination, from the point of view of numerical linear algebra, can be treated as solving an ill-posed system of linear equations. In order to generate a solution that is robust in the presence of noise, these problems require regularization. Here, we examine the ill-posedness involved in the linear discrimination of cancer gene expression data with respect to outcome and tumor subclasses. We show that a filter factor representation, based upon Singular Value Decomposition, yields insight into the numerical ill-posedness of the hyperplane-based separation when applied to gene expression data. We also show that this representation yields useful diagnostic tools for guiding the selection of classifier parameters, thus leading to improved performance.

  19. 15 CFR 2008.9 - Classification guides.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Classification guides. 2008.9 Section... REPRESENTATIVE Derivative Classification § 2008.9 Classification guides. Classification guides shall be issued by... direct derivative classification, shall identify the information to be protected in specific and...

  20. 32 CFR 2400.15 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2400.15 Section 2400.15... Derivative Classification § 2400.15 Classification guides. (a) OSTP shall issue and maintain classification guides to facilitate the proper and uniform derivative classification of information. These guides...

  1. Texture Classification using Artificial Neural Network for Diagnosis of Skin Cancer

    Directory of Open Access Journals (Sweden)

    Dalia N. Abdul-Wadood

    2014-07-01

    Full Text Available This paper attempts to improve the efficiency of the system that proposed in [1] to determine whether a given skin lesion microscopic image is malignant or benign; in case of malignancy, the system can specify its type; whether it is squamous cell carcinoma or basal cell carcinoma (the two leading skin cancer types. The testing of this system was conducted using 80 microscopic images of skin tissues of the types normal, benign and the two types of skin cancer (squamous and basal; the images have been collected from different hospital pathology departments as part of the research work. Some of the collected samples have been used as training and others as testing materials. The proposed system consists of 3 main steps. First, extraction of a set of textural descriptors to localize the abnormal visual attributes which may appear in the tested skin tissue images. Second, selection of the best discriminating texture features. Third, identify the type of skin tissue images using artificial neural network (ANN. In the training phase, the system was trained using 50 skin tissue images, the textural features extracted from training samples were analyzed and their discrimination powers were evaluated in order to get a list of the most suitable features for auto recognition task. When ANN is trained on co-occurrence features the attained allocation accuracy rates was (%97.71 and the diagnosis accuracy rate was (%98.75. While when using ANN with combinations of different types of textural features; the allocation accuracy rate reached to (%97.90 while the diagnosis accuracy rate became (%98.75

  2. Bilateral image subtraction features for multivariate automated classification of breast cancer risk

    Science.gov (United States)

    Celaya-Padilla, Jose M.; Rodriguez-Rojas, Juan; Galván-Tejada, Jorge I.; Martínez-Torteya, Antonio; Treviño, Victor; Tamez-Peña, José G.

    2014-03-01

    Early tumor detection is key in reducing breast cancer deaths and screening mammography is the most widely available method for early detection. However, mammogram interpretation is based on human radiologist, whose radiological skills, experience and workload makes radiological interpretation inconsistent. In an attempt to make mammographic interpretation more consistent, computer aided diagnosis (CADx) systems has been introduced. This paper presents an CADx system aimed to automatically triage normal mammograms form suspicious mammograms. The CADx system co-reregister the left and breast images, then extracts image features from the co-registered mammographic bilateral sets. Finally, an optimal logistic multivariate model is generated by means of an evolutionary search engine. In this study, 440 subjects form the DDSM public data sets were used: 44 normal mammograms, 201 malignant mass mammograms, and 195 mammograms with malignant calci cations. The results showed a cross validation accuracy of 0.88 and an area under receiver operating characteristic (AUC) of 0.89 for the calci cations vs. normal mammograms. The optimal mass vs. normal mammograms model obtained an accuracy of 0.85 and an AUC of 0.88.

  3. Technical issues and new devices of ESD of early gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Wan Sik Lee; Jin Woong Cho; Young Dae Kim; Kyu Jong Kim; Byung Ik Jang

    2011-01-01

    Endoscopic submucosal dissection (ESD) is a highly refined technique compared to conventional endoscopic mucosal resection. It enables complete resection of early gastric cancer (EGC) which has no possibility of lymph node metastasis. Indication for ESD of EGC generally entails early gastric cancer confined to the mucosa with well differentiated histology, though there are clinically suitable expanded criteria. As ESD requires specific skill and expertise, endoscopists need to be familiarized with basic methods and the use of special devices. The essence of the technique is to dissect the submucosal layer with direct vision and maintain the cutting plane above the underlying proper muscle layer. Although there are some differences in the detailed technical aspect, the cardinal method of ESD is now well established and standardized. Furthermore, research and development of new ESD devices that render more efficient, safe ESD are still in progress to improve the overall result of ESD on early gastric cancer.

  4. Emerging issues in smoking among adolescent and adult cancer survivors: a comprehensive review.

    Science.gov (United States)

    Klosky, James L; Tyc, Vida L; Garces-Webb, Danette M; Buscemi, Joanna; Klesges, Robert C; Hudson, Melissa M

    2007-12-01

    The number of cancer survivors is significantly increasing, thereby prioritizing the importance of identifying and preventing adverse health outcomes within this high-risk population. Cigarette smoking is of particular salience as it places both adolescents and adults with a cancer history at risk for various health problems, including second malignancies. The purpose of this article is to provide a comprehensive review of the smoking literature as it relates to adolescents and adults on-treatment and surviving cancer. In particular, the article reviews the prevalence, risk factors, and health outcomes associated with smoking, in addition to the prevention and smoking cessation interventions available to adolescent and adult oncology patients. Furthermore, efficacious cessation strategies have recently emerged from the smoking literature in healthy populations, and their application to oncology populations is discussed.

  5. Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research.

    Science.gov (United States)

    Peterson, Leif E; Coleman, Matthew A

    2008-01-01

    Receiver operating characteristic (ROC) curves were generated to obtain classification area under the curve (AUC) as a function of feature standardization, fuzzification, and sample size from nine large sets of cancer-related DNA microarrays. Classifiers used included k nearest neighbor (kNN), näive Bayes classifier (NBC), linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), learning vector quantization (LVQ1), logistic regression (LOG), polytomous logistic regression (PLOG), artificial neural networks (ANN), particle swarm optimization (PSO), constricted particle swarm optimization (CPSO), kernel regression (RBF), radial basis function networks (RBFN), gradient descent support vector machines (SVMGD), and least squares support vector machines (SVMLS). For each data set, AUC was determined for a number of combinations of sample size, total sum[-log(p)] of feature t-tests, with and without feature standardization and with (fuzzy) and without (crisp) fuzzification of features. Altogether, a total of 2,123,530 classification runs were made. At the greatest level of sample size, ANN resulted in a fitted AUC of 90%, while PSO resulted in the lowest fitted AUC of 72.1%. AUC values derived from 4NN were the most dependent on sample size, while PSO was the least. ANN depended the most on total statistical significance of features used based on sum[-log(p)], whereas PSO was the least dependent. Standardization of features increased AUC by 8.1% for PSO and -0.2% for QDA, while fuzzification increased AUC by 9.4% for PSO and reduced AUC by 3.8% for QDA. AUC determination in planned microarray experiments without standardization and fuzzification of features will benefit the most if CPSO is used for lower levels of feature significance (i.e., sum[-log(p)] ~ 50) and ANN is used for greater levels of significance (i.e., sum[-log(p)] ~ 500). When only standardization of features is performed, studies are likely to benefit most by using CPSO for low levels

  6. Psychosocial and Quality of Life Issues in Prostate and Ovarian Cancer

    NARCIS (Netherlands)

    J.B. Madalinska

    2007-01-01

    textabstractProstate and ovarian cancers are among the leading causes of death in Western countries. Applied preventive health strategies, including screening and early medical treatments either with prophylactic or curative intention, may substantially affect patients’ quality of life (QOL). This t

  7. Specific psychosocial issues of individuals undergoing genetic counseling for cancer - a literature review

    NARCIS (Netherlands)

    Eijzenga, W.; Hahn, D.E.E.; Aaronson, N.K.; Kluijt, I.; Bleiker, E.M.A.

    2014-01-01

    Approximately 25 % of individuals undergoing genetic counseling for cancer experiences clinically relevant levels of distress, anxiety and/or depression. However, these general psychological outcomes that are used in many studies do not provide detailed information on the specific psychosocial probl

  8. Lymph node-positive prostate cancer: current issues, emerging technology and impact on clinical outcome.

    Science.gov (United States)

    Adams, Julia; Cheng, Liang

    2011-09-01

    Lymph node metastasis in patients with prostate cancer indicates a poorer prognosis compared with patients without lymph node metastasis; however, some patients with node-positive disease have long-term survival. Many studies have attempted to discern what characteristics of lymph node metastasis are prognostically significant. These characteristics include nodal tumor volume, number of positive lymph nodes, lymph node density, extranodal extension, lymphovascular invasion and tumor dedifferentiation. Favorable characteristics of regional lymph node involvement included a smaller tumor size and smaller tumor volume. However, the current staging system for prostate cancer does not provide different subclassifications for patients with node-positive prostate cancer. In recent years numerous advanced technologies for the detection of lymph node metastasis have been developed, including molecular imaging techniques and the CellSearch Circulating Tumor Cell System. With the increased detection of patients with prostate cancer, emergence of new technology to identify lymph node metastasis and the number of radical prostatectomies being performed on the rise, subclassifying patients with lymph node-positive disease is imperative. Subclassification would provide a better picture of patient prognosis and allow for a better understanding of targeted therapies to treat patients with lymph node metastasis.

  9. Specific psychosocial issues of individuals undergoing genetic counseling for cancer - a literature review

    NARCIS (Netherlands)

    W. Eijzenga; D.E.E. Hahn; N.K. Aaronson; I. Kluijt; E.M.A. Bleiker

    2013-01-01

    Approximately 25 % of individuals undergoing genetic counseling for cancer experiences clinically relevant levels of distress, anxiety and/or depression. However, these general psychological outcomes that are used in many studies do not provide detailed information on the specific psychosocial probl

  10. Regional radiotherapy in high-risk breast cancer: is the issue solved?

    DEFF Research Database (Denmark)

    Krause, M; Petersen, C; Offersen, B V;

    2015-01-01

    Adjuvant radiotherapy is the treatment standard for breast cancer with lymph node metastases after breast-conserving surgery or mastectomy. The inclusion of regional lymph nodes into the treatment volumes has been a question in recent clinical trials. Their impact on treatment standards and open...

  11. HPV-associated Head and Neck Cancer: A Virus-related Cancer Epidemic – A Review of Epidemiology, Biology, Virus Detection and Issues in Management

    Science.gov (United States)

    Marur, Shanthi; D’Souza, Gypsyamber; Westra, William H.; Forastiere, Arlene A.

    2017-01-01

    Summary A rise in the annual incidence of oropharynx squamous cell cancer, specifically the lingual and palatine tonsils, in white men under the age of 50, non-smokers and non-alcoholics, has been observed over the past decade. This entity is associated with human papilloma virus-16 infection and the risk factors include an increased number of oral and vaginal sex partners at a younger age. The biology of HPV-related oropharynx cancer is distinct with p53 degradation, Rb pathway inactivation, and p16 upregulation. This is in contrast to tobacco related oropharynx cancer which is characterized by p53 mutation and downregulation of p16. The optimal method to detect virus in tumor is controversial and both in situ hybridization and PCR are commonly used; p16 immunohistochemistry may serve as a potential surrogate marker. HPV-related oropharynx cancer appears to be more responsive to chemotherapy and radiation than HPV negative orpharynx cancer. HPV-16 is a prognostic marker for improved overall survival and disease-free survival but has not yet been shown to be a predictive marker. Investigators continue to explore unanswered questions regarding the natural history of oral HPV infection, why the increase dominates in men, the potential of HPV vaccines for primary prevention, developing a commercially available accurate method to detect the virus in tumor, and treatment strategies that reduce toxicity without compromising survival. The goal of this review is to highlight our current understanding of the epidemiology, biology, detection, as well as current management and unresolved issues of HPV-related oropharyngeal HNSCC. PMID:20451455

  12. Methodological challenges in quality of life research among Turkish and Moroccan ethnic minority cancer patients: translation, recruitment and ethical issues.

    Science.gov (United States)

    Hoopman, Rianne; Terwee, Caroline B; Muller, Martin J; Ory, Ferko G; Aaronson, Neil K

    2009-06-01

    The large population of first generation Turkish and Moroccan immigrants who moved to Western Europe in the 1960s and 1970s is now reaching an age at which the incidence of chronic diseases, including cancer, rises sharply. To date, little attention has been paid to the health-related quality of life (HRQOL) of these ethnic minority groups, primarily due to the paucity of well translated and validated measures, but also because of a range of methodological and logistical barriers. The primary objective of this paper is to describe the methodological challenges in conducting HRQOL research among these patient populations, based on experience gained in a project in which four widely used HRQOL questionnaires were translated into Turkish, Moroccan-Arabic and Tarifit, and administered to a sample of 90 Turkish and 79 Moroccan cancer patients in the Netherlands. Problems encountered in translating and administering the questionnaires included achieving semantic equivalence (use of loanwords), use of numerical rating scales, lengthy questions and response scales, and culturally sensitive and/or inappropriate questions. Privacy laws that prohibit hospitals from registering the ethnicity of patients hampered efficient identification of eligible patients. Recruiting patients to studies is often difficult due to low literacy levels, lack of familiarity with and distrust of research, concerns about immigration status, and inaccurate or missing contact information. This can lead to lower response rates than is the case with the population of Dutch cancer patients. Additional ethical issues that arise in such studies concern patients' problems with communicating with their health care providers, their lack of understanding of their diagnosis, treatment and prognosis, and the potential role conflict experienced by bilingual research assistants who may wish or be asked to intervene on the patients' behalf. Practical approaches to resolving these issues are presented.

  13. Immune Monitoring in Cancer Vaccine Clinical Trials: Critical Issues of Functional Flow Cytometry-Based Assays

    OpenAIRE

    Iole Macchia; Francesca Urbani; Enrico Proietti

    2013-01-01

    The development of immune monitoring assays is essential to determine the immune responses against tumor-specific antigens (TSAs) and tumor-associated antigens (TAAs) and their possible correlation with clinical outcome in cancer patients receiving immunotherapies. Despite the wide range of techniques used, to date these assays have not shown consistent results among clinical trials and failed to define surrogate markers of clinical efficacy to antitumor vaccines. Multiparameter flow cytometr...

  14. Significant issues raised by meta-analyses of cancer mortality and dioxin exposure.

    OpenAIRE

    Starr, Thomas B.

    2003-01-01

    Consistent with results from an earlier U.S. Environmental Protection Agency meta-analysis of three occupational cohorts, Crump et al. [Environ Health Perspect 111:681-687 (2003)] recently concluded that "dioxin TEQ [toxic equivalent] exposures within roughly 3-fold of current background levels may be carcinogenic" to humans. In contrast, my meta-analysis using an intercept-only model implied zero additional human cancer deaths from all exposures to dioxin-like compounds, including those aris...

  15. The Significance of Molecular Classification in Breast Cancer for Prognosis%乳腺癌分子分型对乳腺癌预后的意义

    Institute of Scientific and Technical Information of China (English)

    王会东

    2013-01-01

    Objective To investigate the molecular classification and prognosis of breast cancer and the relationship between . Methods Retrospective analysis of 316 cases of female primary breast cancer patients with the clinical pathological ,average age 54.5 years.According to estrogen receptor (ER),pregnancy hormone receptor (PR) and human epidermal growth factor receptor 2(HER2) immu-nohistochemical findings,breast cancer types as type Luminal A ,type Luminal B,triple-negative and HER2 positive type,differences in mo-lecular classification of breast cancer prognosis were observed ,various types of patients with postoperative disease -free survival were com-pared.Results The patients were followed up for 5~124 months,a median follow-up time of 58 months,32 patients had recurrence of metas-tasis or death,the single factor analysis showed that the breast cancer disease free survival and molecular types had relation .Conclusion The molecular classification of breast cancer accurately reflects the prognosis of breast cancer .Type Luminal has the best prognosis ,while triple-negative has the worst prognosis .%  目的 探讨乳腺癌分子分型与预后之间的关系。方法 回顾性分析316例原发性乳腺癌患者的临床病理资料,患者均为女性,平均年龄54.5岁。根据雌激素受体(ER)、孕激素受体(PR)及人类表皮生长因子受体2(HER2)的免疫组织化学结果,乳腺癌分型为Luminal A型、Luminal B型、三阴型及 HER2阳性型,观察不同分子分型乳腺癌的预后,比较各型患者术后的无病生存期。结果 随访5~124个月,中位随访时间58个月,32例患者复发转移或死亡,单因素分析示乳腺癌无病生存期与分子分型有关。结论 乳腺癌的分子分型能够准确反映乳腺癌的预后,Luminal型预后最好,而三阴型预后最差。

  16. Chronic arsenic poisoning: a global health issue -- a report of multiple primary cancers.

    Science.gov (United States)

    Walvekar, R R; Kane, S V; Nadkarni, M S; Bagwan, I N; Chaukar, D A; D'Cruz, A K

    2007-02-01

    Chronic arsenic (As) poisoning is a worldwide public health problem. Effects of prolonged exposure to high levels of As in drinking water have been observed and documented in various epidemiological studies from all over the world. The non-malignant cutaneous effects of chronic exposure to inorganic As are well known. A case presenting with multiple cutaneous cancers as well as an internal lung primary in a patient exposed to toxic levels of As in the drinking water is discussed along with a review of literature.

  17. Heterogeneous methodology of racial/ethnic classification may be responsible for the different risk assessments for prostate cancer between Black and White men in Brazil

    Directory of Open Access Journals (Sweden)

    Frederico R. Romero

    2015-04-01

    Full Text Available Objectives To evaluate if the different results of prostate cancer risk between black and white Brazilian men may be associated with the varying methodology used to define participants as either Blacks or Whites. Patients and Methods We evaluated median PSA values, rate of PSA level ≥4.0 ng/mL, indications for prostate biopsy, prostate cancer detection rate, biopsy/cancer rate, cancer/biopsy rate, and the relative risk of cancer between blacks versus whites, blacks versus non-blacks (browns and whites, non-whites (browns and blacks versus whites, African versus non-African descendants, and African descendants or blacks versus non-African descendants and non-blacks. Results From 1544 participants, there were 51.4% whites, 37.2% browns, 11.4% blacks, and 5.4% African descendants. Median PSA level was 0.9 ng/mL in whites, browns, and non-African descendants, compared to 1.2 ng/mL in blacks, and African descendants or blacks, and 1.3 ng/mL in African descendants. Indications for prostate biopsy were present in 16.9% for African descendants, 15.9% of black, 12.3% of white, 11.4% for non-African descendants, and 9.9% of brown participants. Prostate cancer was diagnosed in 30.3% of performed biopsies: 6.2% of African descendants, 5.1% of blacks, 3.3% of whites, 3.0% of non-African descendants, and 2.6% of browns. Conclusions Median PSA values were higher for Blacks versus Whites in all classification systems, except for non-white versus white men. The rate of prostate biopsy, prostate cancer detection rate, and relative risk for cancer was increased in African descendants, and African descendants or blacks, compared to non-African descendants, and non-African descendants and non-blacks, respectively.

  18. Reverse phase protein array based tumor profiling identifies a biomarker signature for risk classification of hormone receptor-positive breast cancer

    Directory of Open Access Journals (Sweden)

    Johanna Sonntag

    2014-03-01

    Full Text Available A robust subclassification of luminal breast cancer, the most common molecular subtype of human breast cancer, is crucial for therapy decisions. While a part of patients is at higher risk of recurrence and requires chemo-endocrine treatment, the other part is at lower risk and also poorly responds to chemotherapeutic regimens. To approximate the risk of cancer recurrence, clinical guidelines recommend determining histologic grading and abundance of a cell proliferation marker in tumor specimens. However, this approach assigns an intermediate risk to a substantial number of patients and in addition suffers from a high interobserver variability. Therefore, the aim of our study was to identify a quantitative protein biomarker signature to facilitate risk classification. Reverse phase protein arrays (RPPA were used to obtain quantitative expression data for 128 breast cancer relevant proteins in a set of hormone receptor-positive tumors (n = 109. Proteomic data for the subset of histologic G1 (n = 14 and G3 (n = 22 samples were used for biomarker discovery serving as surrogates of low and high recurrence risk, respectively. A novel biomarker selection workflow based on combining three different classification methods identified caveolin-1, NDKA, RPS6, and Ki-67 as top candidates. NDKA, RPS6, and Ki-67 were expressed at elevated levels in high risk tumors whereas caveolin-1 was observed as downregulated. The identified biomarker signature was subsequently analyzed using an independent test set (AUC = 0.78. Further evaluation of the identified biomarker panel by Western blot and mRNA profiling confirmed the proteomic signature obtained by RPPA. In conclusion, the biomarker signature introduced supports RPPA as a tool for cancer biomarker discovery.

  19. Immune Monitoring in Cancer Vaccine Clinical Trials: Critical Issues of Functional Flow Cytometry-Based Assays

    Directory of Open Access Journals (Sweden)

    Iole Macchia

    2013-01-01

    Full Text Available The development of immune monitoring assays is essential to determine the immune responses against tumor-specific antigens (TSAs and tumor-associated antigens (TAAs and their possible correlation with clinical outcome in cancer patients receiving immunotherapies. Despite the wide range of techniques used, to date these assays have not shown consistent results among clinical trials and failed to define surrogate markers of clinical efficacy to antitumor vaccines. Multiparameter flow cytometry- (FCM- based assays combining different phenotypic and functional markers have been developed in the past decade for informative and longitudinal analysis of polyfunctional T-cells. These technologies were designed to address the complexity and functional heterogeneity of cancer biology and cellular immunity and to define biomarkers predicting clinical response to anticancer treatment. So far, there is still a lack of standardization of some of these immunological tests. The aim of this review is to overview the latest technologies for immune monitoring and to highlight critical steps involved in some of the FCM-based cellular immune assays. In particular, our laboratory is focused on melanoma vaccine research and thus our main goal was the validation of a functional multiparameter test (FMT combining different functional and lineage markers to be applied in clinical trials involving patients with melanoma.

  20. Survival of patients with nonseminomatous germ cell cancer: A review of the IGCC classification by Cox regression and recursive partitioning

    NARCIS (Netherlands)

    M.R. van Dijk (Merel); E.W. Steyerberg (Ewout); S.P. Stenning; E. Dusseldorp (Elise); J.D.F. Habbema (Dik)

    2004-01-01

    textabstractThe International Germ Cell Consensus (IGCC) classification identifies good, intermediate and poor prognosis groups among patients with metastatic nonseminomatous germ cell tumours (NSGCT). It uses the risk factors primary site, presence of nonpulmonary visceral metastases and tumour mar

  1. 32 CFR 2700.22 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2700.22 Section 2700.22... SECURITY INFORMATION REGULATIONS Derivative Classification § 2700.22 Classification guides. OMSN shall issue classification guides pursuant to section 2-2 of E.O. 12065. These guides, which shall be used...

  2. Differential survival and recurrence patterns of patients operated for breast cancer according to the new immunohistochemical classification: analytical survey from 1997 to 2012.

    Science.gov (United States)

    García Fernández, Antonio; Chabrera, Carol; García Font, Marc; Fraile, Manel; Gónzalez, Sonia; Barco, Israel; González, Clarisa; Cirera, Lluís; Veloso, Enrique; Lain, José María; Pessarrodona, Antoni; Giménez, Nuria

    2013-08-01

    Breast cancer can no longer be considered only one condition. It should be regarded rather as a heterogeneous group of diseases with different molecular outlines. The aim of this study is to establish a correlation between immunohistochemical tumor sub-typing and surgical treatment, local recurrence rates, distant metastases, and cancer-specific mortality at 5 and 10 years. At least, four tumor sub-types have been described, which were associated with variable risk factors, different natural clinical course, and different response to both local and systemic therapies. For Luminal A: ER + and/or PR + HER2- Ki67 breast tumors were included. Disease-free survival, overall mortality, and breast cancer-specific mortality at 5 and 10 years were calculated. Distant metastases prevalence ranged from 8 to 28 % across sub-types, increasing stepwise from Luminal A, Luminal B, and pure HER2 through triple negative. Conversely, larger tumors with significant axillary burden were more likely to belong to HER2 or triple negative groups. Luminal A sub-type patients showed significantly lower mortality rates both overall and specific at 5 and 10 years, as compared to the rest. Luminal B patients showed lower mortality rates only when compared with triple negative patients. Simple classification of breast cancer patients based on immunohistochemistry and other risk factors is quite useful to establish groups with bad or even worse prognosis. Although results from immunohistochemical classification were not taken into account for surgical procedure decision-making, we found that pure HER2 and triple negative patients received nevertheless higher rates of radical treatment.

  3. Significant issues raised by meta-analyses of cancer mortality and dioxin exposure.

    Science.gov (United States)

    Starr, Thomas B

    2003-09-01

    Consistent with results from an earlier U.S. Environmental Protection Agency meta-analysis of three occupational cohorts, Crump et al. [Environ Health Perspect 111:681-687 (2003)] recently concluded that "dioxin TEQ [toxic equivalent] exposures within roughly 3-fold of current background levels may be carcinogenic" to humans. In contrast, my meta-analysis using an intercept-only model implied zero additional human cancer deaths from all exposures to dioxin-like compounds, including those arising via dietary intake. How can different investigators reach such markedly different conclusions from similar analyses of essentially the same data? The answer lies in different selections for a dose metric, different assumptions regarding the elimination half-life for 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) in humans, different assumptions regarding the importance of the most recent 15 years of exposure, and extrapolations from potential effects of TCDD exposure to potential effects of TEQ exposures. Resolution of the ongoing debate regarding the potential human carcinogenicity of dioxin will require detailed information on exposure to TCDD and on direct-acting carcinogens in the workplace, as well as a dose-response model that adequately reflects TCDD's characteristics as a promoter.

  4. Classification based on CART algorithm for microarray data of lung cancer%基于CART算法的肺癌微阵列数据的分类

    Institute of Scientific and Technical Information of China (English)

    陈磊; 刘毅慧

    2011-01-01

    基因芯片技术是基因组学中的重要研究工具.而基因芯片数据(微阵列数据)往往是高维的,使得降维成为微阵列数据分析中的一个必要步骤.本文对美国哈佛医学院G.J.Gordon等人提供的肺癌微阵列数据进行分析.通过t-test,Wilcox-on秩和检测分别提取微阵列数据特征属性,后根据CART(Classification and Regression Tree)算法,以Gini差异性指标作为误差函数,用提取的特征属性广延的构造分类树;再进行剪枝找到最优规模的树,目的是提高树的泛化性能使得能很好适应新的预测数据.实验证明:该方法对肺癌微阵列数据分类识别率达到96%以上,且很稳定;并可以得到人们容易理解的分类规则和分类关键基因.%The gene chip technology is a significant tool in the genomics research. But the gene chip data ( microar-ray data) is often high -dimensional, make the dimensionality reduction a necessary step. In this paper, the mi-croarray data of lung cancer we analyze that provided by Gavin J. Gordon ect. From the Harvard Medical School. Firstly, t - test, Wilcoxon rank - sum test methods are used for feature selection to reduce the dimensionality of mi-croarray data; then according to CART (Classification and Regression Tree) algorithm, take Gini index as the error function, with the feature attributes fitting an extension to the classification tree, find the optimal size of the tree by pruning, improve the generalization performance of the tree to perfectly adapt to the new samples. Experimental results show; the recognition rate can be up to over 96% for lung cancer microarray data classification using our method, and is very stable; also discovery of significant rules which can be understand easily and key genes information for classification.

  5. Patterns of nucleolar organizer region in urinary bladder cancer in view of 2004 WHO classification of urothelial neoplasms

    Directory of Open Access Journals (Sweden)

    Priti Soin

    2012-01-01

    Full Text Available Context: The last decade has seen a tremendous upheaval since introduction of WHO-1998 classification (modified in 2004 of bladder carcinoma, which only recently seems to have settled down. We compare both old (WHO-1973 and new (2004 classifications with argyrophilic nucleolar organizer region (AgNOR score. Aims: To compare WHO/ISUP (World Health Organization/International Society of Urologic Pathologists consensus classification-2004 and WHO-1973 classification of bladder carcinoma and to establish correlation between AgNOR scores and various grades of carcinoma bladder. Materials and Methods: Sixty H and E (Hematoxylin and Eosin stained sections of transitional cell carcinoma bladder were graded according to WHO/ISUP (2004 and WHO (1973 classification systems and the results were compared. This was then followed by AgNOR staining of the paraffin-embedded sections and subsequent AgNOR scores were calculated and given as total score, extranucleolar score, intranucleolar score, and nucleolar score. These were correlated with the grade of the tumor. Statistical Analysis Used: ANOVA test. Results: It was observed that the two grading systems, WHO/ISUP (2004 and WHO (1973 correlated with each other. Also it was observed that the total AgNOR score and extranucleolar AgNOR score increased with the grade of the tumor and thus increasing scores carry significance in assessment of the grade of the tumor. However, intranucleolar and nucleolar scores showed variable degree of overlap in various grades of the bladder tumors. Conclusions: WHO/ISUP (2004 classification correlated well with the WHO (1973 classification. The total AgNOR score was found to be helpful in assessment of the grade of the tumor but the distribution of the AgNOR carried little significance.

  6. Asbestos: current issues related to cancer and to uses in developing countries

    Directory of Open Access Journals (Sweden)

    Eduardo Algranti

    1998-01-01

    Full Text Available Asbestos is one of the main occupational carcinogens recognized and studied in the literature. Its uses have undergone major changes in recent decades, with severe restrictions on commercial amphiboles according to different patterns: in developed countries asbestos is strictly controlled or banned, except in Japan, while in developing countries consumption has leveled off or increased. As an example, Brazil is one the seven world leaders in asbestos production and consumption. Although there is a clear excess of mesotheliomas linked to amphibole exposure, mainly to crocidolite, there is no evidences that chrysotile is harmless to the pleura. Also, the relationship between fibrogenesis and carcinogenesis is not sufficiently understood to defend the concept that there are protective exposure limits to both diseases. "Controlled use" policy may be effective at the occupational level in a select group of companies, representing only a fraction of the exposed population. In developing countries subject to economic pressures, these issues merit proper discussion to avoid unnecessary disease and death.

  7. Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer.

    Science.gov (United States)

    Aguiar-Pulido, Vanessa; Munteanu, Cristian R; Seoane, José A; Fernández-Blanco, Enrique; Pérez-Montoto, Lázaro G; González-Díaz, Humberto; Dorado, Julián

    2012-06-01

    Fast cancer diagnosis represents a real necessity in applied medicine due to the importance of this disease. Thus, theoretical models can help as prediction tools. Graph theory representation is one option because it permits us to numerically describe any real system such as the protein macromolecules by transforming real properties into molecular graph topological indices. This study proposes a new classification model for proteins linked with human colon cancer by using spiral graph topological indices of protein amino acid sequences. The best quantitative structure-disease relationship model is based on eleven Shannon entropy indices. It was obtained with the Naïve Bayes method and shows excellent predictive ability (90.92%) for new proteins linked with this type of cancer. The statistical analysis confirms that this model allows diagnosing the absence of human colon cancer obtaining an area under receiver operating characteristic of 0.91. The methodology presented can be used for any type of sequential information such as any protein and nucleic acid sequence.

  8. Revision, uptake and coding issues related to the open access Orchard Sports Injury Classification System (OSICS versions 8, 9 and 10.1

    Directory of Open Access Journals (Sweden)

    John Orchard

    2010-10-01

    Full Text Available John Orchard1, Katherine Rae1, John Brooks2, Martin Hägglund3, Lluis Til4, David Wales5, Tim Wood61Sports Medicine at Sydney University, Sydney NSW Australia; 2Rugby Football Union, Twickenham, England, UK; 3Department of Medical and Health Sciences, Linköping University, Linköping, Sweden; 4FC Barcelona, Barcelona, Catalonia, Spain; 5Arsenal FC, Highbury, England, UK; 6Tennis Australia, Melbourne, Vic, AustraliaAbstract: The Orchard Sports Injury Classification System (OSICS is one of the world’s most commonly used systems for coding injury diagnoses in sports injury surveillance systems. Its major strengths are that it has wide usage, has codes specific to sports medicine and that it is free to use. Literature searches and stakeholder consultations were made to assess the uptake of OSICS and to develop new versions. OSICS was commonly used in the sports of football (soccer, Australian football, rugby union, cricket and tennis. It is referenced in international papers in three sports and used in four commercially available computerised injury management systems. Suggested injury categories for the major sports are presented. New versions OSICS 9 (three digit codes and OSICS 10.1 (four digit codes are presented. OSICS is a potentially helpful component of a comprehensive sports injury surveillance system, but many other components are required. Choices made in developing these components should ideally be agreed upon by groups of researchers in consensus statements.Keywords: sports injury classification, epidemiology, surveillance, coding

  9. Usefulness of two independent histopathological classifications of tumor regression in patients with rectal cancer submitted to hyperfractionated pre-operative radiotherapy

    Institute of Scientific and Technical Information of China (English)

    (L)ukasz Liszka; Ewa Zieli(n)ska-Paj(a)k; Jacek Paj(a)k; Dariusz Go(l)ka; Jacek Starzewski; Zbigniew Lorenc

    2007-01-01

    AIM: To assess the usefulness of two independent histopathological classifications of rectal cancer regression following neo-adjuvant therapy.METHODS: Forty patients at the initial stage cT3NxMO submitted to preoperative radiotherapy (42 Gy during 18 d) and then to radical surgical treatment. The relationship between "T-downstaging" versus regressive changes expressed by tumor regression grade (TRG 1-5)and Nasierowska-Guttmejer classification (NG 1-3) was studied as well as the relationship between TRG and NG versus local tumor stage ypT and lymph nodes status,ypN.RESULTS: Complete regression (ypTO, TRG 1) was found in one patient. "T-downstaging" was observed in 11 (27.5%) patients. There was a weak statistical significance of the relationship between "T-downstaging"and TRG staging and NG stage. Patients with ypT1 were diagnosed as TRG 2-3 while those with ypT3 as TRG5.No lymph node metastases were found in patients with TRG 1-2. None of the patients without lymph node metastases were diagnosed as TRG 5. Patients in the ypT1 stage were NG 1-2. No lymph node metastases were found in NG 1. There was a significant correlation between TRG and NG.CONCLUSION: Histopathological classifications may be useful in the monitoring of the effects of hyperfractionated preoperative radiotherapy in patients with rectal cancer at the stage of cT3NxMO. There is no unequivocal relationship between "T-downstaging"and TRG and NG. There is some concordance in the assessment of lymph node status with ypT, TRG and NG.TRG and NG are of limited value for the risk assessment of the lymph node involvement.

  10. 160例乳腺癌术后血行转移患者中医辨证分型的研究%Study of 160 breast cancer patients with distant metastasis after operation by way of TCM syndromes classification

    Institute of Scientific and Technical Information of China (English)

    Wenping Lu; Hongsheng Lin

    2007-01-01

    Objective: To discuss the relationship between the postoperative breast cancer with distant metastasis and the TCM syndromes classification. Methods: 160 postoperative 5-year breast cancer patients from 1995 to 2000 were tracked,summed up and analysized TCM syndromes as stagnation of hepatic qi, deficiency of spleen and pathogenic phlegm retention, blood stasis and toxin stagnation, deficiencies of both blood and qi. Results: (1) For blood stasis and toxin stagnation TCM syndrome, the metastatic rate raised to 45% during 5 years. However, the metastatic rates of other three TCM syndromes are 15%, 17.5% and 22.5% respectively. The general distant metastasis rate was 27.5% (P<0.01). (2) Lymph node metastasis, tumor size, Her-2 and its receptor have no obvious relation with TCM syndromes classification (P>0.05). Conclusion: (1) TCM syndrome classification has close relation with breast cancer distant metastasis. Distant metastasis have close relationship with blood stasis and toxin stagnation syndrome. (2) Lymph node metastasis, tumor size, Her-2 and its receptor have no obvious relation with TCM syndromes classification, which suggested that metastatic ability has been programmed in the early stage of carcinoma initiation. (3) Significantly enlightening for predict the prognosis under the guide of TCM syndrome classification and take right therapeutic strategy: attack pathogen and activate blood circulation against cancer.

  11. Static micro-array isolation, dynamic time series classification, capture and enumeration of spiked breast cancer cells in blood: the nanotube-CTC chip

    Science.gov (United States)

    Khosravi, Farhad; Trainor, Patrick J.; Lambert, Christopher; Kloecker, Goetz; Wickstrom, Eric; Rai, Shesh N.; Panchapakesan, Balaji

    2016-11-01

    We demonstrate the rapid and label-free capture of breast cancer cells spiked in blood using nanotube-antibody micro-arrays. 76-element single wall carbon nanotube arrays were manufactured using photo-lithography, metal deposition, and etching techniques. Anti-epithelial cell adhesion molecule (anti-EpCAM), Anti-human epithelial growth factor receptor 2 (anti-Her2) and non-specific IgG antibodies were functionalized to the surface of the nanotube devices using 1-pyrene-butanoic acid succinimidyl ester. Following device functionalization, blood spiked with SKBR3, MCF7 and MCF10A cells (100/1000 cells per 5 μl per device, 170 elements totaling 0.85 ml of whole blood) were adsorbed on to the nanotube device arrays. Electrical signatures were recorded from each device to screen the samples for differences in interaction (specific or non-specific) between samples and devices. A zone classification scheme enabled the classification of all 170 elements in a single map. A kernel-based statistical classifier for the ‘liquid biopsy’ was developed to create a predictive model based on dynamic time warping series to classify device electrical signals that corresponded to plain blood (control) or SKBR3 spiked blood (case) on anti-Her2 functionalized devices with ˜90% sensitivity, and 90% specificity in capture of 1000 SKBR3 breast cancer cells in blood using anti-Her2 functionalized devices. Screened devices that gave positive electrical signatures were confirmed using optical/confocal microscopy to hold spiked cancer cells. Confocal microscopic analysis of devices that were classified to hold spiked blood based on their electrical signatures confirmed the presence of cancer cells through staining for DAPI (nuclei), cytokeratin (cancer cells) and CD45 (hematologic cells) with single cell sensitivity. We report 55%-100% cancer cell capture yield depending on the active device area for blood adsorption with mean of 62% (˜12 500 captured off 20 000 spiked cells in 0.1 ml

  12. Analysis of classifiers performance for classification of potential microcalcification

    Science.gov (United States)

    M. N., Arun K.; Sheshadri, H. S.

    2013-07-01

    Breast cancer is a significant public health problem in the world. According to the literature early detection improve breast cancer prognosis. Mammography is a screening tool used for early detection of breast cancer. About 10-30% cases are missed during the routine check as it is difficult for the radiologists to make accurate analysis due to large amount of data. The Microcalcifications (MCs) are considered to be important signs of breast cancer. It has been reported in literature that 30% - 50% of breast cancer detected radio graphically show MCs on mammograms. Histologic examinations report 62% to 79% of breast carcinomas reveals MCs. MC are tiny, vary in size, shape, and distribution, and MC may be closely connected to surrounding tissues. There is a major challenge using the traditional classifiers in the classification of individual potential MCs as the processing of mammograms in appropriate stage generates data sets with an unequal amount of information for both classes (i.e., MC, and Not-MC). Most of the existing state-of-the-art classification approaches are well developed by assuming the underlying training set is evenly distributed. However, they are faced with a severe bias problem when the training set is highly imbalanced in distribution. This paper addresses this issue by using classifiers which handle the imbalanced data sets. In this paper, we also compare the performance of classifiers which are used in the classification of potential MC.

  13. Body image issues after bilateral prophylactic mastectomy with breast reconstruction in healthy women at risk for hereditary breast cancer.

    Science.gov (United States)

    Gopie, Jessica P; Mureau, Marc A M; Seynaeve, Caroline; Ter Kuile, Moniek M; Menke-Pluymers, Marian B E; Timman, Reinier; Tibben, Aad

    2013-09-01

    The outcome of bilateral prophylactic mastectomy with breast reconstruction (BPM-IBR) in healthy BRCA1/2 mutation carriers can be potentially burdensome for body image and the intimate relationship. Therefore, in the current analysis the impact on body image, sexual and partner relationship satisfaction was prospectively investigated in women opting for BPM-IBR as well as cancer distress and general quality of life. Healthy women undergoing BPM-IBR completed questionnaires preoperatively (T0, n = 48), at 6 months (T1, n = 44) and after finishing breast reconstruction (median 21 months, range 12-35) (T2, n = 36). With multi-level regression analyses the course of outcome variables was investigated and a statistically significant change in body image and/or sexual and partner relationship satisfaction was predicted by baseline covariates. Body image significantly decreased at T1. At T2 sexual relationship satisfaction and body image tended to be lower compared to baseline. The overall partner relationship satisfaction did not significantly change. At T2, 37 % of the women reported that their breasts felt unpleasantly, 29 % was not satisfied with their breast appearance and 21 % felt embarrassed for their naked body. Most body image issues remained unchanged in 30 % of the women. A negative body image was predicted by high preoperative cancer distress. BPM-IBR was associated with adverse impact on body image in a substantial subgroup, but satisfaction with the overall sexual and partner relationship did not significantly change in time. The psychosocial impact of BPM-IBR in unaffected women should not be underestimated. Psychological support should ideally be integrated both before and after BPM-IBR.

  14. Noninvasive diagnosis of hepatocellular carcinoma: Elaboration on Korean liver cancer study group-National Cancer Center Korea Practice Guidelines compared with other guidelines and remaining issues

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Jeong Hee; Lee, Jeong Min [Dept. of Radiology, Seoul National University Hospital, Seoul (Korea, Republic of); Park, Joong Won [Center for Liver Cancer, National Cancer Center, Goyang (Korea, Republic of)

    2016-02-15

    Hepatocellular carcinoma (HCC) can be diagnosed based on characteristic findings of arterial-phase enhancement and portal/delayed 'washout' in cirrhotic patients. Several countries and major academic societies have proposed varying specific diagnostic criteria for HCC, largely reflecting the variable HCC prevalence in different regions and ethnic groups, as well as different practice patterns. In 2014, a new version of Korean practice guidelines for management of HCC was released by the Korean Liver Cancer Study Group (KLCSG) and the National Cancer Center (NCC). According to the KLCSG-NCC Korea practice guidelines, if the typical hallmark of HCC (i.e., hypervascularity in the arterial phase with washout in the portal or 3 min-delayed phases) is identified in a nodule ≥ 1 cm in diameter on either dynamic CT, dynamic MRI, or MRI using hepatocyte-specific contrast agent in high-risk groups, a diagnosis of HCC is established. In addition, the KLCSG-NCC Korea practice guidelines provide criteria to diagnose HCC for subcentimeter hepatic nodules according to imaging findings and tumor marker, which has not been addressed in other guidelines such as Association for the Study of Liver Diseases and European Association for the Study of the Liver. In this review, we briefly review the new HCC diagnostic criteria endorsed by the 2014 KLCSG-NCC Korea practice guidelines, in comparison with other recent guidelines; we furthermore address several remaining issues in noninvasive diagnosis of HCC, including prerequisite of sonographic demonstration of nodules, discrepancy between transitional phase and delayed phase, and implementation of ancillary features for HCC diagnosis.

  15. Noninvasive Diagnosis of Hepatocellular Carcinoma: Elaboration on Korean Liver Cancer Study Group-National Cancer Center Korea Practice Guidelines Compared with Other Guidelines and Remaining Issues.

    Science.gov (United States)

    Yoon, Jeong Hee; Park, Joong-Won; Lee, Jeong Min

    2016-01-01

    Hepatocellular carcinoma (HCC) can be diagnosed based on characteristic findings of arterial-phase enhancement and portal/delayed "washout" in cirrhotic patients. Several countries and major academic societies have proposed varying specific diagnostic criteria for HCC, largely reflecting the variable HCC prevalence in different regions and ethnic groups, as well as different practice patterns. In 2014, a new version of Korean practice guidelines for management of HCC was released by the Korean Liver Cancer Study Group (KLCSG) and the National Cancer Center (NCC). According to the KLCSG-NCC Korea practice guidelines, if the typical hallmark of HCC (i.e., hypervascularity in the arterial phase with washout in the portal or 3 min-delayed phases) is identified in a nodule ≥ 1 cm in diameter on either dynamic CT, dynamic MRI, or MRI using hepatocyte-specific contrast agent in high-risk groups, a diagnosis of HCC is established. In addition, the KLCSG-NCC Korea practice guidelines provide criteria to diagnose HCC for subcentimeter hepatic nodules according to imaging findings and tumor marker, which has not been addressed in other guidelines such as Association for the Study of Liver Diseases and European Association for the Study of the Liver. In this review, we briefly review the new HCC diagnostic criteria endorsed by the 2014 KLCSG-NCC Korea practice guidelines, in comparison with other recent guidelines; we furthermore address several remaining issues in noninvasive diagnosis of HCC, including prerequisite of sonographic demonstration of nodules, discrepancy between transitional phase and delayed phase, and implementation of ancillary features for HCC diagnosis.

  16. Locus-Specific Databases and Recommendations to Strengthen Their Contribution to the Classification of Variants in Cancer Susceptibility Genes

    NARCIS (Netherlands)

    Greenblatt, Marc S.; Brody, Lawrence C.; Foulkes, William D.; Genuardi, Maurizio; Hofstra, Robert M. W.; Olivier, Magali; Plon, Sharon E.; Sijmons, Rolf H.; Sinilnikova, Olga; Spurdle, Amanda B.

    2008-01-01

    Locus-specific databases (LSDBs) are curated collections of sequence variants in genes associated with disease. LSDBs of cancer-related genes often serve as a critical resource to researchers, diagnostic laboratories, clinicians, and others in the cancer genetics community. LSDBs are poised to play

  17. Innovative patient-centered skills training addressing challenging issues in cancer communications: Using patient's stories that teach.

    Science.gov (United States)

    Bishop, Thomas W; Gorniewicz, James; Floyd, Michael; Tudiver, Fred; Odom, Amy; Zoppi, Kathy

    2016-05-01

    This workshop demonstrated the utility of a patient-centered web-based/digital Breaking Bad News communication training module designed to educate learners of various levels and disciplines. This training module is designed for independent, self-directed learning as well as group instruction. These interactive educational interventions are based upon video-recorded patient stories. Curriculum development was the result of an interdisciplinary, collaborative effort involving faculty from the East Tennessee State University (ETSU) Graduate Storytelling Program and the departments of Family and Internal Medicine at the James H. Quillen College of Medicine. The specific goals of the BBN training module are to assist learners in: (1) understanding a five-step patient-centered model that is based upon needs, preferences, and expectations of patients with cancer and (2) individualizing communication that is consistent with patient preferences in discussing emotions, informational detail, prognosis and timeline, and whether or not to discuss end-of-life issues. The pedagogical approach to the training module is to cycle through Emotional Engagement, Data, Modeled Practices, Adaptation Opportunities, and Feedback. The communication skills addressed are rooted in concepts found within the Reaching Common Ground communication training. A randomized control study investigating the effectiveness of the Breaking Bad News module found that medical students as well as resident physicians improved their communication skills as measured by an Objective Structured Clinical Examination. Four other similarly designed modules were also created: Living Through Treatment, Transitions: From Curable to Treatable/From Treatable to End-of-Life, Spirituality, and Family.

  18. Actualización de la estadificación de cáncer de cuello uterino Classification and staging of cervical cancer: an update

    Directory of Open Access Journals (Sweden)

    Claudia Álvarez

    2012-06-01

    Full Text Available A pesar de los avances en la detección y prevención del cáncer de cuello uterino, éste continúa siendo una gran amenaza para la salud de las mujeres a nivel mundial. Una correcta evaluación de los factores pronósticos es crucial para la elección y planificación de un tratamiento adecuado. La estadificación del cáncer de cuello uterino ha sufrido modificaciones en la 7° edición del TNM, reflejando la nueva clasificación adoptada por la Federación Internacional de Ginecología y Obstetricia (FIGO. En este artículo presentamos el sistema actualizado y unificado de estadificación para cáncer de cuello uterino.Despite advances in screening and prevention, cervical cancer remains a major threat to women's health worldwide. A correct evaluation of prognostic factors is crucial for choosing and planning the most appropriate treatment. Cervical cancer staging has undergone modifications in the 7th edition of TNM, reflecting the new classification adopted by the International Federation of Gynecology and Obstetrics (FIGO. In this paper we present the updated and consolidated system of cervical cancer staging.

  19. The future of general classification

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2013-01-01

    Discusses problems related to accessing multiple collections using a single retrieval language. Surveys the concepts of interoperability and switching language. Finds that mapping between more indexing languages always will be an approximation. Surveys the issues related to general classification...... and contrasts that to special classifications. Argues for the use of general classifications to provide access to collections nationally and internationally. © 2003 by The Haworth Press, Inc. All rights reserved....

  20. A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification

    Directory of Open Access Journals (Sweden)

    Esra Pamukçu

    2015-01-01

    Full Text Available Gene expression data typically are large, complex, and highly noisy. Their dimension is high with several thousand genes (i.e., features but with only a limited number of observations (i.e., samples. Although the classical principal component analysis (PCA method is widely used as a first standard step in dimension reduction and in supervised and unsupervised classification, it suffers from several shortcomings in the case of data sets involving undersized samples, since the sample covariance matrix degenerates and becomes singular. In this paper we address these limitations within the context of probabilistic PCA (PPCA by introducing and developing a new and novel approach using maximum entropy covariance matrix and its hybridized smoothed covariance estimators. To reduce the dimensionality of the data and to choose the number of probabilistic PCs (PPCs to be retained, we further introduce and develop celebrated Akaike’s information criterion (AIC, consistent Akaike’s information criterion (CAIC, and the information theoretic measure of complexity (ICOMP criterion of Bozdogan. Six publicly available undersized benchmark data sets were analyzed to show the utility, flexibility, and versatility of our approach with hybridized smoothed covariance matrix estimators, which do not degenerate to perform the PPCA to reduce the dimension and to carry out supervised classification of cancer groups in high dimensions.

  1. Automated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network Classification

    Directory of Open Access Journals (Sweden)

    Abderrahim Sebri

    2007-01-01

    Full Text Available Breast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis at the step of mammographic diagnosis, some others treated the problem at the step of cytological diagnosis. In this work, we describes the current state of the ongoing the BC automated diagnosis research program. It is a software system that provides expert diagnosis of breast cancer based on three step of cytological image analysis. The first step is based on segmentation using an active contour for cell tracking and isolating of the nucleus in the studied image. Then from this nucleus, have been extracted some textural features using the wavelet transforms to characterize image using its texture, so that malign texture can be differentiated from benign on the assumption that tumoral texture is different from the texture of other kinds of tissues. Finally, the obtained features will be introduced as the input vector of a Multi-Layer Perceptron (MLP, to classify the images into malign and benign ones.

  2. Profiling cancer

    DEFF Research Database (Denmark)

    Ciro, Marco; Bracken, Adrian P; Helin, Kristian

    2003-01-01

    In the past couple of years, several very exciting studies have demonstrated the enormous power of gene-expression profiling for cancer classification and prediction of patient survival. In addition to promising a more accurate classification of cancer and therefore better treatment of patients......, gene-expression profiling can result in the identification of novel potential targets for cancer therapy and a better understanding of the molecular mechanisms leading to cancer....

  3. The IASLC Lung Cancer Staging Project: Proposals for Coding T Categories for Subsolid Nodules and Assessment of Tumor Size in Part-Solid Tumors in the Forthcoming Eighth Edition of the TNM Classification of Lung Cancer.

    Science.gov (United States)

    Travis, William D; Asamura, Hisao; Bankier, Alexander A; Beasley, Mary Beth; Detterbeck, Frank; Flieder, Douglas B; Goo, Jin Mo; MacMahon, Heber; Naidich, David; Nicholson, Andrew G; Powell, Charles A; Prokop, Mathias; Rami-Porta, Ramón; Rusch, Valerie; van Schil, Paul; Yatabe, Yasushi

    2016-08-01

    This article proposes codes for the primary tumor categories of adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) and a uniform way to measure tumor size in part-solid tumors for the eighth edition of the tumor, node, and metastasis classification of lung cancer. In 2011, new entities of AIS, MIA, and lepidic predominant adenocarcinoma were defined, and they were later incorporated into the 2015 World Health Organization classification of lung cancer. To fit these entities into the T component of the staging system, the Tis category is proposed for AIS, with Tis (AIS) specified if it is to be distinguished from squamous cell carcinoma in situ (SCIS), which is to be designated Tis (SCIS). We also propose that MIA be classified as T1mi. Furthermore, the use of the invasive size for T descriptor size follows a recommendation made in three editions of the Union for International Cancer Control tumor, node, and metastasis supplement since 2003. For tumor size, the greatest dimension should be reported both clinically and pathologically. In nonmucinous lung adenocarcinomas, the computed tomography (CT) findings of ground glass versus solid opacities tend to correspond respectively to lepidic versus invasive patterns seen pathologically. However, this correlation is not absolute; so when CT features suggest nonmucinous AIS, MIA, and lepidic predominant adenocarcinoma, the suspected diagnosis and clinical staging should be regarded as a preliminary assessment that is subject to revision after pathologic evaluation of resected specimens. The ability to predict invasive versus noninvasive size on the basis of solid versus ground glass components is not applicable to mucinous AIS, MIA, or invasive mucinous adenocarcinomas because they generally show solid nodules or consolidation on CT.

  4. Development of a two-stage gene selection method that incorporates a novel hybrid approach using the cuckoo optimization algorithm and harmony search for cancer classification.

    Science.gov (United States)

    Elyasigomari, V; Lee, D A; Screen, H R C; Shaheed, M H

    2017-03-01

    For each cancer type, only a few genes are informative. Due to the so-called 'curse of dimensionality' problem, the gene selection task remains a challenge. To overcome this problem, we propose a two-stage gene selection method called MRMR-COA-HS. In the first stage, the minimum redundancy and maximum relevance (MRMR) feature selection is used to select a subset of relevant genes. The selected genes are then fed into a wrapper setup that combines a new algorithm, COA-HS, using the support vector machine as a classifier. The method was applied to four microarray datasets, and the performance was assessed by the leave one out cross-validation method. Comparative performance assessment of the proposed method with other evolutionary algorithms suggested that the proposed algorithm significantly outperforms other methods in selecting a fewer number of genes while maintaining the highest classification accuracy. The functions of the selected genes were further investigated, and it was confirmed that the selected genes are biologically relevant to each cancer type.

  5. The classification of secondary colorectal liver cancer in human biopsy samples using angular dispersive x-ray diffraction and multivariate analysis

    Energy Technology Data Exchange (ETDEWEB)

    Theodorakou, Chrysoula; Farquharson, Michael J [Department of Radiography, City Community and Health Sciences, City University, Northampton Square, EC1V 0HB, London (United Kingdom)], E-mail: christie.theodorakou@physics.cr.man.ac.uk

    2009-08-21

    The motivation behind this study is to assess whether angular dispersive x-ray diffraction (ADXRD) data, processed using multivariate analysis techniques, can be used for classifying secondary colorectal liver cancer tissue and normal surrounding liver tissue in human liver biopsy samples. The ADXRD profiles from a total of 60 samples of normal liver tissue and colorectal liver metastases were measured using a synchrotron radiation source. The data were analysed for 56 samples using nonlinear peak-fitting software. Four peaks were fitted to all of the ADXRD profiles, and the amplitude, area, amplitude and area ratios for three of the four peaks were calculated and used for the statistical and multivariate analysis. The statistical analysis showed that there are significant differences between all the peak-fitting parameters and ratios between the normal and the diseased tissue groups. The technique of soft independent modelling of class analogy (SIMCA) was used to classify normal liver tissue and colorectal liver metastases resulting in 67% of the normal tissue samples and 60% of the secondary colorectal liver tissue samples being classified correctly. This study has shown that the ADXRD data of normal and secondary colorectal liver cancer are statistically different and x-ray diffraction data analysed using multivariate analysis have the potential to be used as a method of tissue classification.

  6. Communication in cancer care: psycho-social, interactional, and cultural issues. A general overview and the example of India.

    Science.gov (United States)

    Chaturvedi, Santosh K; Strohschein, Fay J; Saraf, Gayatri; Loiselle, Carmen G

    2014-01-01

    Communication is a core aspect of psycho-oncology care. This article examines key psychosocial, cultural, and technological factors that affect this communication. Drawing from advances in clinical work and accumulating bodies of empirical evidence, the authors identify determining factors for high quality, efficient, and sensitive communication and support for those affected by cancer. Cancer care in India is highlighted as a salient example. Cultural factors affecting cancer communication in India include beliefs about health and illness, societal values, integration of spiritual care, family roles, and expectations concerning disclosure of cancer information, and rituals around death and dying. The rapidly emerging area of e-health significantly impacts cancer communication and support globally. In view of current globalization, understanding these multidimensional psychosocial, and cultural factors that shape communication are essential for providing comprehensive, appropriate, and sensitive cancer care.

  7. Communication in cancer care: Psycho social, interactional, and cultural issues. A general overview and the example of India

    Directory of Open Access Journals (Sweden)

    SANTOSH K CHATURVEDI

    2014-11-01

    Full Text Available Communication is a core aspect of psycho-oncology care. This article examines key psychosocial, cultural, and technological factors that affect this communication. Drawing from advances in clinical work and accumulating bodies of empirical evidence, the authors identify determining factors for high quality, efficient, and sensitive communication and support for those affected by cancer. Cancer care in India is highlighted as a salient example. Cultural factors affecting cancer communication in India include beliefs about health and illness, societal values, integration of spiritual care, family roles, and expectations concerning disclosure of cancer information, and rituals around death and dying. The rapidly emerging area of e-health significantly impacts cancer communication and support globally. In view of current globalization, understanding these multidimensional psychosocial, and cultural factors that shape communication are essential for providing comprehensive, appropriate and sensitive cancer care.

  8. Diagnosis of breast cancer using diffuse optical spectroscopy from 500 to 1600 nm: comparison of classification methods

    Science.gov (United States)

    Nachabé, Rami; Evers, Daniel J.; Hendriks, Benno H. W.; Lucassen, Gerald W.; van der Voort, Marjolein; Rutgers, Emiel J.; Peeters, Marie-Jeanne Vrancken; van der Hage, Jos A.; Oldenburg, Hester S.; Wesseling, Jelle; Ruers, Theo J. M.

    2011-08-01

    We report on the use of diffuse optical spectroscopy analysis of breast spectra acquired in the wavelength range from 500 to 1600 nm with a fiber optic probe. A total of 102 ex vivo samples of five different breast tissue types, namely adipose, glandular, fibroadenoma, invasive carcinoma, and ductal carcinoma in situ from 52 patients were measured. A model deriving from the diffusion theory was applied to the measured spectra in order to extract clinically relevant parameters such as blood, water, lipid, and collagen volume fractions, β-carotene concentration, average vessels radius, reduced scattering amplitude, Mie slope, and Mie-to-total scattering fraction. Based on a classification and regression tree algorithm applied to the derived parameters, a sensitivity-specificity of 98%-99%, 84%-95%, 81%-98%, 91%-95%, and 83%-99% were obtained for discrimination of adipose, glandular, fibroadenoma, invasive carcinoma, and ductal carcinoma in situ, respectively; and a multiple classes overall diagnostic performance of 94%. Sensitivity-specificity values obtained for discriminating malignant from nonmalignant tissue were compared to existing reported studies by applying the different classification methods that were used in each of these studies. Furthermore, in these reported studies, either lipid or β-carotene was considered as adipose tissue precursors. We estimate both chromophore concentrations and demonstrate that lipid is a better discriminator for adipose tissue than β-carotene.

  9. Diagnostic Classification of Normal Persons and Cancer Patients by Using Neural Network Based on Trace Metal Contents in Serum Samples

    Institute of Scientific and Technical Information of China (English)

    ZHANG; Zhuo-yong

    2001-01-01

    [1]Miatto, O. , Casaril, M. , Gabriell, G. B. , et al. , Cancer, 55, 774(1985)[2]Margalioth, E. J., Udassin, R., Maor, J. , et al. , Cancer, 56, 856(1986)[3]Xu, B., Chinese Journal of Tumor, 12, 512(1990)[4]Jayadeep, A. , Raveendran, P. K. , Kannan, S. , et al. , J. Exp. Clin. Cancer Res. , 16, 295 (1997)[5]Sattar, N. , Scott, H. R. , McMillan, D. C. , et al. , Nutr. Cancer, 28, 308(1997)[6]Koksoy, C. , Kavas, G. O. , Akcil, E. , et al. , Breast Cancer Res. Treat. , 45, 1(1997)[7]Leung,P. L. , Huang, H. M. , Biol. Trace Elem. Res. , 57, 19(1997)[8]Antila, E. , Mussalo-Rauhamaa, H. , Kantola, M. , et al. , Sci. Total Environ. , 186, 251(1996)[9]Tariq, M. A. , Qama-un-Nisa, Fatima, A. , Sci. Total Environ. , 175, 43(1995)[10]Martin-Lagos, F. , Navarro-Alarcon, M. , Terres-Martos, C. , et al. , Sci. Total Environ. , 204, 27(1997)[11]Poo, J. L. , Romero, R. R. , Robles, J. A. , et al. , Arch. Med. Res. , 28, 259(1997)[12]Magalova, T., Bella, V. , Brtkova, A. , et al. , Neoplasma, 46, 100(1999)[13]Ferrigno, D. , Buccheri, G. , Camilla, T. , et al. , Archives for Chest Disease, 54, 204(1999)[14]Huang, Y. L. , Sheu, J. Y. , Lin, T. H. , Clinical Biochem. , 32, 131(1999)[15]Songchitsomboon, S. , Komindr, S. , Komindr, A. , et al. , J. Med. Assoc. Thai, 82, 701(1999)[16]Mason, R. P. , Cancer, 85, 2 093(1999)[17]Wargovith, M. J. , Ed. Moon T. E. , Micozz M. S. , Calcium, Vitamin D and the Prevention of Gastrointestinal Cancer, in Nutrition and Cancer Prevention, Marcel Dekker Inc. , New York, 1989:291[18]Leung, P. L. , Li, X. L. , Li, Z. X. , et al. , Biol. Trace Elem. Res. , 42, 1(1994)[19]Jing, X. ,Han, C., Cancer Research on Prevention and Treatment, 25, 186(1998)[20]Huang, Y. , Li, J. , Carcinogenesis, Teratogenesis and Mutagenesis, 10, 123(1998)[21]Wang, X. , Zhu, E. ,Yan, X. , et al. , Acta Chimica Sinica, 51, 1 094(1993)[22]Wan, T. , Qin, S. , Zhuang, S. , et al. , Rock and Mineral

  10. Staging of prostate cancer.

    Science.gov (United States)

    Cheng, Liang; Montironi, Rodolfo; Bostwick, David G; Lopez-Beltran, Antonio; Berney, Daniel M

    2012-01-01

    Prostatic carcinoma (PCa) is a significant cause of cancer morbidity and mortality worldwide. Accurate staging is critical for prognosis assessment and treatment planning for PCa. Despite the large volume of clinical activity and research, the challenge to define the most appropriate and clinically relevant staging system remains. The pathologically complex and uncertain clinical course of prostate cancer further complicates the design of staging classification and a substaging system suitable for individualized care. This review will focus on recent progress and controversial issues related to prostate cancer staging. The 2010 revision of the American Joint Committee on Cancer/Union Internationale Contre le Cancer (AJCC/UICC) tumour, node and metastasis (TNM) system is the most widely used staging system at this time. Despite general acceptance of the system as a whole, there is controversy and uncertainty about its application, particularly for T2 subclassification. The three-tiered T2 classification system for organ-confined prostate cancer is superfluous, considering the biology and anatomy of PCa. A tumour size-based substaging system may be considered in the future TNM subclassification of pT2 cancer. Lymph node status is one of the most important prognostic factors for prostate cancer. Nevertheless, clinical outcomes in patients with positive lymph nodes are variable. Identification of patients at the greatest risk of systemic progression helps in the selection of appropriate therapy. The data suggest that the inherent aggressiveness of metastatic prostate cancer is closely linked to the tumour volume of lymph node metastasis. We recommend that a future TNM staging system should consider subclassification of node-positive cancer on the basis of nodal cancer volume, using the diameter of the largest nodal metastasis and/or the number of positive nodes.

  11. Body issues, sexual satisfaction, and relationship status satisfaction in long-term childhood cancer survivors and healthy controls

    NARCIS (Netherlands)

    Lehmann, Vicky; Hagedoorn, Mariet; Gerhardt, Cynthia A.; Fults, Marci; Olshefski, Randal S.; Sanderman, Robbert; Tuinman, Marrit A.

    2016-01-01

    ObjectiveResearch on body image and sexual satisfaction after adult onset cancer has shown significant and lasting impairments regarding survivors' sexuality and romantic relationships. However, knowledge about these topics and their associations in adult survivors of childhood cancer is largely lac

  12. Classification problem in CBIR

    OpenAIRE

    Tatiana Jaworska

    2013-01-01

    At present a great deal of research is being done in different aspects of Content-Based Im-age Retrieval (CBIR). Image classification is one of the most important tasks in image re-trieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results ...

  13. Classification of 27 Tumor-Associated Antigens by Histochemical Analysis of 36 Freshly Resected Lung Cancer Tissues

    Directory of Open Access Journals (Sweden)

    Gene Kurosawa

    2016-11-01

    Full Text Available In previous studies, we identified 29 tumor-associated antigens (TAAs and isolated 488 human monoclonal antibodies (mAbs that specifically bind to one of the 29 TAAs. In the present study, we performed histochemical analysis of 36 freshly resected lung cancer tissues by using 60 mAbs against 27 TAAs. Comparison of the staining patterns of tumor cells, bronchial epithelial cells, and normal pulmonary alveolus cells and interalveolar septum allowed us to determine the type and location of cells that express target molecules, as well as the degree of expression. The patterns were classified into 7 categories. While multiple Abs were used against certain TAAs, the differences observed among them should be derived from differences in the binding activity and/or the epitope. Thus, such data indicate the versatility of respective clones as anti-cancer drugs. Although the information obtained was limited to the lung and bronchial tube, bronchial epithelial cells represent normal growing cells, and therefore, the data are informative. The results indicate that 9 of the 27 TAAs are suitable targets for therapeutic Abs. These 9 Ags include EGFR, HER2, TfR, and integrin α6β4. Based on our findings, a pharmaceutical company has started to develop anti-cancer drugs by using Abs to TfR and integrin α6β4. HGFR, PTP-LAR, CD147, CDCP1, and integrin αvβ3 are also appropriate targets for therapeutic purposes.

  14. Classification of 27 Tumor-Associated Antigens by Histochemical Analysis of 36 Freshly Resected Lung Cancer Tissues

    Science.gov (United States)

    Kurosawa, Gene; Sugiura, Mototaka; Hattori, Yoshinobu; Tsuda, Hiroyuki; Kurosawa, Yoshikazu

    2016-01-01

    In previous studies, we identified 29 tumor-associated antigens (TAAs) and isolated 488 human monoclonal antibodies (mAbs) that specifically bind to one of the 29 TAAs. In the present study, we performed histochemical analysis of 36 freshly resected lung cancer tissues by using 60 mAbs against 27 TAAs. Comparison of the staining patterns of tumor cells, bronchial epithelial cells, and normal pulmonary alveolus cells and interalveolar septum allowed us to determine the type and location of cells that express target molecules, as well as the degree of expression. The patterns were classified into 7 categories. While multiple Abs were used against certain TAAs, the differences observed among them should be derived from differences in the binding activity and/or the epitope. Thus, such data indicate the versatility of respective clones as anti-cancer drugs. Although the information obtained was limited to the lung and bronchial tube, bronchial epithelial cells represent normal growing cells, and therefore, the data are informative. The results indicate that 9 of the 27 TAAs are suitable targets for therapeutic Abs. These 9 Ags include EGFR, HER2, TfR, and integrin α6β4. Based on our findings, a pharmaceutical company has started to develop anti-cancer drugs by using Abs to TfR and integrin α6β4. HGFR, PTP-LAR, CD147, CDCP1, and integrin αvβ3 are also appropriate targets for therapeutic purposes. PMID:27834817

  15. EBM-based Clinical Guidelines for Pancreatic Cancer (2013) issued by the Japan Pancreas Society: a synopsis.

    Science.gov (United States)

    Yamaguchi, Koji; Okusaka, Takuji; Shimizu, Kyoko; Furuse, Junji; Ito, Yoshinori; Hanada, Keiji; Shimosegawa, Tooru

    2014-10-01

    Clinical practice guidelines for pancreatic cancer based on evidence-based medicine (2006) were published by the Japan Pancreas Society (Committee for revision of clinical guidelines for pancreatic cancer) in March 2009 in Japanese, revised to Clinical Practice Guidelines for Pancreatic Cancer based on evidence-based medicine (2009) in July 2009 in Japanese and further revised to Clinical Practice Guidelines for Pancreatic Cancer (2013) in October 2013 in Japanese. These guidelines were established according to evidence-based medicine. A total of 629 papers were collected from among 4612 reports concerning pancreatic cancer listed in PubMed and Igakuchuo Zasshi between May 2007 and January 2011. This new set of guidelines was written by members of the Committee for the Revision of Clinical Practice Guidelines for Pancreatic Cancer in the Japan Pancreas Society. The guidelines provide an algorithm for the diagnosis (Fig. 1) and treatment (Fig. 2) of pancreatic cancer and address six subjects (Diagnosis, Surgery, Adjuvant therapy, Radiation therapy, Chemotherapy and stent therapy), with 35 clinical questions and 57 recommendations.

  16. Classification problem in CBIR

    Directory of Open Access Journals (Sweden)

    Tatiana Jaworska

    2013-04-01

    Full Text Available At present a great deal of research is being done in different aspects of Content-Based Im-age Retrieval (CBIR. Image classification is one of the most important tasks in image re-trieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results of fuzzy rule-based classification in our CBIR. Further-more, these results are used to construct a search engine taking into account data mining.

  17. Classification of Non-Small Cell Lung Cancer Using Significance Analysis of Microarray-Gene Set Reduction Algorithm

    Directory of Open Access Journals (Sweden)

    Lei Zhang

    2016-01-01

    Full Text Available Among non-small cell lung cancer (NSCLC, adenocarcinoma (AC, and squamous cell carcinoma (SCC are two major histology subtypes, accounting for roughly 40% and 30% of all lung cancer cases, respectively. Since AC and SCC differ in their cell of origin, location within the lung, and growth pattern, they are considered as distinct diseases. Gene expression signatures have been demonstrated to be an effective tool for distinguishing AC and SCC. Gene set analysis is regarded as irrelevant to the identification of gene expression signatures. Nevertheless, we found that one specific gene set analysis method, significance analysis of microarray-gene set reduction (SAMGSR, can be adopted directly to select relevant features and to construct gene expression signatures. In this study, we applied SAMGSR to a NSCLC gene expression dataset. When compared with several novel feature selection algorithms, for example, LASSO, SAMGSR has equivalent or better performance in terms of predictive ability and model parsimony. Therefore, SAMGSR is a feature selection algorithm, indeed. Additionally, we applied SAMGSR to AC and SCC subtypes separately to discriminate their respective stages, that is, stage II versus stage I. Few overlaps between these two resulting gene signatures illustrate that AC and SCC are technically distinct diseases. Therefore, stratified analyses on subtypes are recommended when diagnostic or prognostic signatures of these two NSCLC subtypes are constructed.

  18. Is standard breast-conserving therapy (BCT in elderly breast cancer patients justified? A prospective measurement of acute toxicity according CTC-classification

    Directory of Open Access Journals (Sweden)

    Eilf Kirsten

    2010-11-01

    Full Text Available Abstract Background Breast conserving therapy (BCT is an accepted treatment for early-stage breast cancer. This study aimed to measure prospectively acute radiation-related toxicity and to create a comprehensive data base for long-term temporal analyses of 3D conformal adjuvant radiotherapy. The specific aspect of age has been neglected by traditional research. Therefore, the impact of age on acute BCT toxicity should be also specifically adressed. Methods Toxicity was measured in 109 patients at initiation (t1, during radiotherapy (t2-t7, and 6 weeks after treatment completion (t8 using a new topographic module. Organ systems were recorded in 15 scales and scored according to symptom intensity (grade 0-5 based on CTC (Common Toxicity Criteria -classification. Radiotherapy was virtually CT-based planned and applied with 6-MeV-photons. Mean total dose was 60.1 Gy. Patients were stratified by age in 3 Groups: 60 years. Results Registered toxicity was generally low. Mean overall-grade climbed from 0.29-0.40 (t1-t7, and dropped to 0.23 (t8. Univariate analyses revealed slightly higher toxicity in older (> 60 years versus young patients ( 60 years patients (p = 0.039. Toxicity differences in all other scales were not significant. Between older (> 60 years and midaged patients (50-60 years no significant differences in toxicity were found. This was also true for the comparison between young ( Conclusion The treatment concept of BCT for breast cancer is generally well tolerated. The toxicity-measurement with the new topographic module is feasible. Not modified standard treatment for BC should be performed in elderly women.

  19. Progestagen component in combined hormone replacement therapy in postmenopausal women and breast cancer risk: a debated clinical issue.

    Science.gov (United States)

    Gadducci, Angiolo; Biglia, Nicoletta; Cosio, Stefania; Sismondi, Piero; Genazzani, Andrea Riccardo

    2009-12-01

    The relevance of the progestagen component in combined hormone replacement therapy (HRT) for breast cancer risk has been long debated. In vitro studies have shown that progestins exert both genomic transcriptional and non-genomic effects that can enhance the proliferation, invasiveness and spread of breast cancer cells. According to a novel hypothesis, progestins can still activate cancer stem cells in patients with pre-existing, clinically undetected breast cancer. However, some experimental and clinical data suggest that different progestins may have a different impact on the pathophysiology of malignant breast cells. In vitro studies on estrogen receptor (ER)+ breast cancer cells have shown that the addition of medroxyprogesterone acetate (MPA) to estradiol (E(2)) produces a significantly higher increase of the mRNA levels and activities of estrogen-activating enzymes aromatase, 17beta hydroxysteroid dehydrogenase type-1 and sulfatase when compared with progesterone plus E(2). In randomised trial performed on ovariectomised adult female monkeys, oral E(2) plus MPA have resulted in a significantly greater proliferation of breast lobular and ductal epithelium when compared with placebo, whereas E(2) plus micronised progesterone have not. In the same experimental model, oral E(2) plus MPA have been found to induce the expression of genes encoding epidermal growth factor receptor (EGFR) ligands and downstream targets, whereas E(2) alone or E(2) plus micronised progesterone had no or modest effects on EGFR-related genes. In last years, some clinical studies on HRT users have shown that androgenic progestin- or MPA-based formulations are associated with an increased breast cancer incidence, whereas micronised progesterone- or dydrogesterone-based formulations are not. Further basic and clinical investigations on this topic are strongly warranted to elucidate whether the choice of the progestagen component in combined HRT could be of clinical relevance as for breast

  20. Network-Based Logistic Classification with an Enhanced L1/2 Solver Reveals Biomarker and Subnetwork Signatures for Diagnosing Lung Cancer

    Directory of Open Access Journals (Sweden)

    Hai-Hui Huang

    2015-01-01

    Full Text Available Identifying biomarker and signaling pathway is a critical step in genomic studies, in which the regularization method is a widely used feature extraction approach. However, most of the regularizers are based on L1-norm and their results are not good enough for sparsity and interpretation and are asymptotically biased, especially in genomic research. Recently, we gained a large amount of molecular interaction information about the disease-related biological processes and gathered them through various databases, which focused on many aspects of biological systems. In this paper, we use an enhanced L1/2 penalized solver to penalize network-constrained logistic regression model called an enhanced L1/2 net, where the predictors are based on gene-expression data with biologic network knowledge. Extensive simulation studies showed that our proposed approach outperforms L1 regularization, the old L1/2 penalized solver, and the Elastic net approaches in terms of classification accuracy and stability. Furthermore, we applied our method for lung cancer data analysis and found that our method achieves higher predictive accuracy than L1 regularization, the old L1/2 penalized solver, and the Elastic net approaches, while fewer but informative biomarkers and pathways are selected.

  1. Classification of Focal Prostatic Lesions on Transrectal Ultrasound (TRUS) and the Accuracy of TRUS to Diagnose Prostate Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Ho Yun [Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul (Korea, Republic of); Lee, Hak Jong; Byun, Seok Soo; Lee, Sang Eun; Hong, Sung Kyu [Seoul National University Bundang Hospital, Seongnam (Korea, Republic of); Kim, Seung Hyup [Seoul National University Hospital, Seoul (Korea, Republic of)

    2009-06-15

    To improve the diagnostic efficacy of transrectal ultrasound (TRUS)-guided targeted prostatic biopsies, we have suggested the use of a new scoring system for the prediction of malignancies regarding the characteristics of focal suspicious lesions as depicted on TRUS. A total of 350 consecutive patients with or without prostate cancer who underwent targeted biopsies for 358 lesions were included in the study. The data obtained from participants were randomized into two groups; the training set (n = 240) and the test set (n = 118). The characteristics of focal suspicious lesions were evaluated for the training set and the correlation between TRUS findings and the presence of a malignancy was analyzed. Multiple logistic regression analysis was used to identify variables capable of predicting prostatic cancer. A scoring system that used a 5-point scale for better malignancy prediction was determined from the training set. Positive predictive values for malignancy prediction and the diagnostic accuracy of the scored components with the use of receiver operating characteristic curve analysis were evaluated by test set analyses. Subsequent multiple logistic regression analysis determined that shape, margin irregularity, and vascularity were factors significantly and independently associated with the presence of a malignancy. Based on the use of the scoring system for malignancy prediction derived from the significant TRUS findings and the interactions of characteristics, a positive predictive value of 80% was achieved for a score of 4 when applied to the test set. The area under the receiver operating characteristic curve (AUC) for the overall lesion score was 0.81. We have demonstrated that a scoring system for malignancy prediction developed for the characteristics of focal suspicious lesions as depicted on TRUS can help predict the outcome of TRUS-guided biopsies.

  2. Delay in diagnosis of cancer as a patient safety issue - a root cause analysis based on a representative case report

    Directory of Open Access Journals (Sweden)

    Mansour Paul

    2011-07-01

    Full Text Available Abstract Background It is well known in the literature that imaging has almost no value for diagnosis of superficial bladder cancer. However, wide gap exists between knowledge on diagnosis of bladder cancer and actual clinical practice. Case presentation Delay in diagnosis of bladder cancer in a male person with tetraplegia occurred because of reliance on negative flexible cystoscopy and single biopsy, negative ultrasound examination of urinary bladder, and computerised tomography of pelvis. Difficulties in scheduling cystoscopy also contributed to a delay of nearly ten months between the onset of haematuria and establishing a histological diagnosis of vesical malignancy in this patient. The time interval between transurethral resection and cystectomy was 42 days. This delay was mainly due to scheduling of surgery. Conclusion We learn from this case that doctors should be aware of the limitations of negative flexible cystoscopy and single biopsy, cytology of urine, ultrasound examination of urinary bladder, and computed tomography of pelvis for diagnosis of bladder cancer in spinal cord injury patients. Random bladder biopsies must be considered under general anaesthesia when there is high suspicion of bladder cancer. Spinal cord injury patients with lesions above T-6 may develop autonomic dysreflexia; therefore, one should be extremely well prepared to prevent or manage autonomic dysreflexia when performing cystoscopy and bladder biopsy. Spinal cord injury patients, who pass blood in urine, should be accorded top priority in scheduling of investigations and surgical procedures.

  3. Breast Cancer Research Update

    Science.gov (United States)

    ... JavaScript on. Feature: Breast Cancer Breast Cancer Research Update Winter 2017 Table of Contents National Cancer Institute ... Addressing Breast Cancer's Unequal Burden / Breast Cancer Research Update Winter 2017 Issue: Volume 11 Number 4 Page ...

  4. Media coverage of women's health issues: is there a bias in the reporting of an association between hormone replacement therapy and breast cancer?

    Science.gov (United States)

    Whiteman, M K; Cui, Y; Flaws, J A; Langenberg, P; Bush, T L

    2001-01-01

    Media coverage of scientific research plays a major role in shaping public opinion and influencing medical practice. When an association is controversial, such as with hormone replacement therapy (HRT) and breast cancer, it is important that a balanced picture of the scientific literature be reported. The objective of this study was to assess whether scientific publications that do and do not support an HRT/breast cancer association were cited in the media in proportions similar to those with which they appear in the scientific literature. Scientific publications reporting on the HRT/breast cancer association published from January 1, 1995, to June 30, 2000, were identified through a systematic Medline search. Media reports from newspapers, magazines, television, and radio that reported on HRT and breast cancer were retrieved from an online database. Investigators independently recorded characteristics of the scientific publications and media reports. A total of 32 scientific publications were identified: 20 (62.5%) concluded there was an increased risk of breast cancer associated with HRT (positive publications), and 12 (37.5%) concluded there was no evidence for an association (null publications). Nearly half (47%) of the scientific publications were not cited by the media. There were 203 media citations of scientific publications: 82% were of positive publications and 18% were of null publications, representing a significant excess of citations of positive publications (p Media coverage of this controversial issue is based on a limited sample of the scientific publications. Moreover, the excess of media citations for positive scientific publications suggests a bias against null scientific publications.

  5. A new classification of glaucomas

    Directory of Open Access Journals (Sweden)

    Bordeianu CD

    2014-09-01

    Full Text Available Constantin-Dan Bordeianu Private Practice, Ploiesti, Prahova, Romania Purpose: To suggest a new glaucoma classification that is pathogenic, etiologic, and clinical.Methods: After discussing the logical pathway used in criteria selection, the paper presents the new classification and compares it with the classification currently in use, that is, the one issued by the European Glaucoma Society in 2008.Results: The paper proves that the new classification is clear (being based on a coherent and consistently followed set of criteria, is comprehensive (framing all forms of glaucoma, and helps in understanding the sickness understanding (in that it uses a logical framing system. The great advantage is that it facilitates therapeutic decision making in that it offers direct therapeutic suggestions and avoids errors leading to disasters. Moreover, the scheme remains open to any new development.Conclusion: The suggested classification is a pathogenic, etiologic, and clinical classification that fulfills the conditions of an ideal classification. The suggested classification is the first classification in which the main criterion is consistently used for the first 5 to 7 crossings until its differentiation capabilities are exhausted. Then, secondary criteria (etiologic and clinical pick up the relay until each form finds its logical place in the scheme. In order to avoid unclear aspects, the genetic criterion is no longer used, being replaced by age, one of the clinical criteria. The suggested classification brings only benefits to all categories of ophthalmologists: the beginners will have a tool to better understand the sickness and to ease their decision making, whereas the experienced doctors will have their practice simplified. For all doctors, errors leading to therapeutic disasters will be less likely to happen. Finally, researchers will have the object of their work gathered in the group of glaucoma with unknown or uncertain pathogenesis, whereas

  6. Methodological challenges in quality of life research among Turkish and Moroccan ethnic minority cancer patients: translation, recruitment and ethical issues

    NARCIS (Netherlands)

    Hoopman, R.; Terwee, C.B.; Muller, M.T.; Ory, F.; Aaronson, N.K.

    2009-01-01

    The large population of first generation Turkish and Moroccan immigrants who moved to Western Europe in the 1960s and 1970s is now reaching an age at which the incidence of chronic diseases, including cancer, rises sharply. To date, little attention has been paid to the health-related quality of lif

  7. Classification and Regression Tree Analysis of Clinical Patterns to Predict the Survival of Patients with Advanced Non-small Cell Lung Cancer Treated with Erlotinib

    Directory of Open Access Journals (Sweden)

    Yutao LIU

    2011-10-01

    Full Text Available Background and objective Erlotinib is a targeted therapy drug for non-small cell lung cancer (NSCLC. It has been proven that, there was evidence of various survival benefits derived from erlotinib in patients with different clinical features, but the results are conflicting. The aim of this study is to identify novel predictive factors and explore the interactions between clinical variables as well as their impact on the survival of Chinese patients with advanced NSCLC heavily treated with erlotinib. Methods The clinical and follow-up data of 105 Chinese NSCLC patients referred to the Cancer Hospital and Institute, Chinese Academy of Medical Sciences from September 2006 to September 2009 were analyzed. Multivariate analysis of progressive-free survival (PFS was performed using recursive partitioning referred to as the classification and regression tree (CART analysis. Results The median PFS of 105 eligible consecutive Chinese NSCLC patients was 5.0 months (95%CI: 2.9-7.1. CART analysis was performed for the initial, second, and third split in the lymph node involvement, the time of erlotinib administration, and smoking history. Four terminal subgroups were formed. The longer values for the median PFS were 11.0 months (95%CI: 8.9-13.1 for the subgroup with no lymph node metastasis and 10.0 months (95%CI: 7.9-12.1 for the subgroup with lymph node involvement, but not over the second-line erlotinib treatment with a smoking history ≤35 packs per year. The shorter values for the median PFS were 2.3 months (95%CI: 1.6-3.0 for the subgroup with lymph node metastasis and over the second-line erlotinib treatment, and 1.3 months (95%CI: 0.5-2.1 for the subgroup with lymph node metastasis, but not over the second-line erlotinib treatment with a smoking history >35 packs per year. Conclusion Lymph node metastasis, the time of erlotinib administration, and smoking history are closely correlated with the survival of advanced NSCLC patients with first- to

  8. Survival Analyses for Patients With Surgically Resected Pancreatic Neuroendocrine Tumors by World Health Organization 2010 Grading Classifications and American Joint Committee on Cancer 2010 Staging Systems.

    Science.gov (United States)

    Yang, Min; Ke, Neng-wen; Zeng, Lin; Zhang, Yi; Tan, Chun-lu; Zhang, Hao; Mai, Gang; Tian, Bo-le; Liu, Xu-bao

    2015-12-01

    In 2010, World Health Organization (WHO) reclassified pancreatic neuroendocrine tumors (p-NETs) into 4 main groups: neuroendocrine tumor G1 (NET G1), neuroendocrine tumor G2 (NET G2), neuroendocrine carcinoma G3 (NEC G3), mixed adeno and neuroendocrine carcinoma (MANEC). Clinical value of these newly updated WHO grading criteria has not been rigorously validated. The authors aimed to evaluate the clinical consistency of the new 2010 grading classifications by WHO and the 2010 tumor-node metastasis staging systems by American Joint Committee on Cancer (AJCC) on survivals for patients with surgically resected p-NETs. Moreover, the authors would validate the prognostic value of both criteria for p-NETs.The authors retrospectively collected the clinicopathologic data of 120 eligible patients who were all surgically treated and histopathologically diagnosed as p-NETs from January 2004 to February 2014 in our single institution. The new WHO criteria were assigned to 4 stratified groups with a respective distribution of 62, 35, 17, and 6 patients. Patients with NET G1 or NET G2 obtained a statistically better survival compared with those with NEC G3 or MANEC (P systems were respectively defined in 61, 36, 12, and 11 patients for each stage. Differences of survivals of stage I with stage III and IV were significant (P systems were both significant in univariate and multivariate analysis (P systems could consistently reflect the clinical outcome of patients with surgically resected p-NETs. Meanwhile, both criteria could be independent predictors for survival analysis of p-NETs.

  9. Tissue Classification

    DEFF Research Database (Denmark)

    Van Leemput, Koen; Puonti, Oula

    2015-01-01

    Computational methods for automatically segmenting magnetic resonance images of the brain have seen tremendous advances in recent years. So-called tissue classification techniques, aimed at extracting the three main brain tissue classes (white matter, gray matter, and cerebrospinal fluid), are now...... well established. In their simplest form, these methods classify voxels independently based on their intensity alone, although much more sophisticated models are typically used in practice. This article aims to give an overview of often-used computational techniques for brain tissue classification...

  10. A Qualitative Investigation of Health Care Professionals', Patients' and Partners' Views on Psychosocial Issues and Related Interventions for Couples Coping with Cancer.

    Directory of Open Access Journals (Sweden)

    Tim Regan

    Full Text Available There is growing evidence that cancer affects couples as an interdependent system and that couple-based psychosocial interventions are efficacious in reducing distress and improving coping skills. However, adoption of a couples-focused approach into cancer care is limited. Previous research has shown that patients and partners hold differing views from health care professionals (HCPs regarding their psychosocial needs, and HCPs from different disciplines also hold divergent views regarding couples' psychosocial needs. This study aimed to explore the perspectives of HCPs and couples on the provision of couple-focused psychosocial care in routine cancer services.A qualitative study using semi-structured interviews was undertaken with 20 HCPs (medical oncologists, nurses, psycho-oncology professionals and 20 couples where one member had been diagnosed with cancer (breast, prostate, head/neck, bowel, multiple myeloma. Interviews were analysed using the framework approach.Three core themes were identified: "How Do Couples Cope with Cancer?" emphasised the positive and negative coping strategies used by couples, and highlighted that partners perceived a lack of engagement by HCPs. "What Is Couple-focused Psychosocial Care for People with Cancer?" described varying perspectives regarding the value of couple-focused psychosocial care and variation in the types of support couples need among HCPs and couples. Whereas most couples did not perceive a need for specialist couple-focused support and interventions, most HCPs felt couple-focused psychosocial care was necessary. "How Can Couple-Focused Psychosocial Care be Improved?" described couples' view of a need for better provision of information, and the importance of their relationship with oncology clinicians. HCPs identified a lack of confidence in responding to the emotional needs of couples, and barriers to providing psychosocial care, including challenges identifying distress (through screening and

  11. Interobserver variations in diagnosing asbestosis according to the ILO classification.

    Science.gov (United States)

    Perić, Irena; Novak, Katarina; Barisić, Igor; Mise, Kornelija; Vucković, Maja; Janković, Stipan; Tocilj, Jadranka

    2009-06-01

    Inhalation of asbestos fibres leads to asbestosis of the pleura and the lung, with possible progression to lung cancer and malignant pleural or peritoneal mesothelioma. Asbestosis remains difficult to diagnose, especially in its early stages. The most important role in its diagnosis is that of chest radiographs. The aim of this cross-sectional study was to address interobserver variations in interpreting chest radiographs in asbestos workers, which remain to be an issue, despite improvements in the International Labour Office (ILO) classification system. In our ten-year study, we investigated 318 workers occupationally exposed to asbestos, and in 210 workers with diagnosed asbestos-related changes we compared interpretations of chest radiographs according to ILO by two independent radiologists. The apparent degree of interobserver variation in classifying lung fibrosis was 26.66% for the diameter of changes and 42.2% for the profusion of the changes. In cases with diffuse pleural thickening, the interobserver variation using ILO procedures was 34.93%. This investigation raises the issue of standardisation and objectivity of interpretation of asbestosis according to the ILO classification system. This study has revealed a significant disagreement in the estimated degree of pleural and parenchymal asbestos pulmonary disease. This is why we believe high-resolution computed tomography (HRCT) should also be used as a part of international classification.

  12. Transporter Classification Database (TCDB)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Transporter Classification Database details a comprehensive classification system for membrane transport proteins known as the Transporter Classification (TC)...

  13. 3-Bromopyruvate (3BP) a fast acting, promising, powerful, specific, and effective "small molecule" anti-cancer agent taken from labside to bedside: introduction to a special issue.

    Science.gov (United States)

    Pedersen, Peter L

    2012-02-01

    . Significantly, in subsequent experiments with rodents (19 animals with advanced cancer) Ko led a project in which 3BP was shown in a short treatment period to eradicate all (100%). Ko's and co-author's findings once published attracted global attention leading world-wide to many other studies and publications related to 3BP and its potent anti-cancer effect. This Issue of the Journal of Bioenergetics and Biomembranes (JOBB 44-1) captures only a sampling of research conducted to date on 3BP as an anticancer agent, and includes also a Case Report on the first human patient known to the author to be treated with specially formulated 3BP. Suffice it to say in this bottom line, "3BP, a small molecule, results in a remarkable therapeutic effect when it comes to treating cancers exhibiting a "Warburg effect". This includes most cancer types.

  14. Cancer in Māori: lessons from prostate, colorectal and gastric cancer and progress in hereditary stomach cancer in New Zealand.

    Science.gov (United States)

    Blair, Vanessa; Kahokehr, Arman; Sammour, Tarik

    2013-01-01

    Persisting ethnic disparities in cancer incidence and outcomes exist between Māori and non-Māori in Aotearoa/New Zealand. It is difficult to disentangle the complex interplay of environmental and genetic factors that contribute to the variation in cancer statistics between these two groups. In Māori, the sites of highest cancer incidence are the prostate in men, breast in women and lung in both - the next most common cancers in Māori are colorectal and stomach cancer. This paper discusses colorectal, prostate and stomach cancer in Māori to illustrate selected issues that impact on cancer care. Colorectal cancer is discussed to illustrate the importance of accurate cancer statistics to focus management strategies. Prostate cancer in Māori is reviewed - an area where cultural factors impact on care delivery. Sporadic stomach cancer in New Zealand is used to show how sub-classification of different types of cancer can be important and illustrate the breadth of putative causal factors. Then follows an overview of developments in hereditary gastric cancer in New Zealand in the last 15 years, showing how successful clinical and research partnerships can improve patient outcomes. One example is the Kimi Hauora Clinic, which provides support to cancer patients, mutation carriers and their families, helping them navigate the interface with the many health-care professionals involved in the multidisciplinary care of cancer patients in the 21st century.

  15. Classification in Medical Imaging

    DEFF Research Database (Denmark)

    Chen, Chen

    Classification is extensively used in the context of medical image analysis for the purpose of diagnosis or prognosis. In order to classify image content correctly, one needs to extract efficient features with discriminative properties and build classifiers based on these features. In addition...... to segment breast tissue and pectoral muscle area from the background in mammogram. The second focus is the choices of metric and its influence to the feasibility of a classifier, especially on k-nearest neighbors (k-NN) algorithm, with medical applications on breast cancer prediction and calcification...

  16. Therapeutic considerations in Dukes C colon cancer

    OpenAIRE

    2001-01-01

    Colon cancer is one of the main health issues in the western world. In the Netherlands more than 7000 patients are diagnosed yearly with this disease and half of them will die from it. Prognosis largely depends on tumor stage, which is estimated by radiological, clinical and histological characteristics. After histological research; tumor depth, surgical resection margins and lymph node involvement is assessed. These histo-pathological variables are used in classification systems to estimate ...

  17. [Landscape classification: research progress and development trend].

    Science.gov (United States)

    Liang, Fa-Chao; Liu, Li-Ming

    2011-06-01

    Landscape classification is the basis of the researches on landscape structure, process, and function, and also, the prerequisite for landscape evaluation, planning, protection, and management, directly affecting the precision and practicability of landscape research. This paper reviewed the research progress on the landscape classification system, theory, and methodology, and summarized the key problems and deficiencies of current researches. Some major landscape classification systems, e. g. , LANMAP and MUFIC, were introduced and discussed. It was suggested that a qualitative and quantitative comprehensive classification based on the ideology of functional structure shape and on the integral consideration of landscape classification utility, landscape function, landscape structure, physiogeographical factors, and human disturbance intensity should be the major research directions in the future. The integration of mapping, 3S technology, quantitative mathematics modeling, computer artificial intelligence, and professional knowledge to enhance the precision of landscape classification would be the key issues and the development trend in the researches of landscape classification.

  18. (18)F-FDG PET/CT quantification in head and neck squamous cell cancer: principles, technical issues and clinical applications.

    Science.gov (United States)

    Manca, Gianpiero; Vanzi, Eleonora; Rubello, Domenico; Giammarile, Francesco; Grassetto, Gaia; Wong, Ka Kit; Perkins, Alan C; Colletti, Patrick M; Volterrani, Duccio

    2016-07-01

    (18)F-FDG PET/CT plays a crucial role in the diagnosis and management of patients with head and neck squamous cell cancer (HNSCC). The major clinical applications of this method include diagnosing an unknown primary tumour, identifying regional lymph node involvement and distant metastases, and providing prognostic information. (18)F-FDG PET/CT is also used for precise delineation of the tumour volume for radiation therapy planning and dose painting, and for treatment response monitoring, by detecting residual or recurrent disease. Most of these applications would benefit from a quantitative approach to the disease, but the quantitative capability of (18)F-FDG PET/CT is still underused in HNSCC. Innovations in PET/CT technology promise to overcome the issues that until now have hindered the employment of dynamic procedures in clinical practice and have limited "quantification" to the evaluation of standardized uptake values (SUV), de facto a semiquantitative parameter, the limits of which are well known to the nuclear medicine community. In this paper the principles of quantitative imaging and the related technical issues are reviewed so that professionals involved in HNSCC management can reflect on the advantages of "true" quantification. A discussion is then presented on how semiquantitative information is currently used in clinical (18)F-FDG PET/CT applications in HNSCC, by discussing the improvements that could be obtained with more advanced and "personalized" quantification techniques.

  19. Pediatric Thyroid Cancer

    Science.gov (United States)

    ... Marketplace Find an ENT Doctor Near You Pediatric Thyroid Cancer Pediatric Thyroid Cancer Patient Health Information News media ... and neck issues, should be consulted. Types of thyroid cancer in children: Papillary : This form of thyroid cancer ...

  20. Attitudes toward Palliative Care and End of Life Issues: A Prospective Survey in Patients with Metastatic Cancer

    LENUS (Irish Health Repository)

    Docherty, C

    2016-05-01

    Palliative care (PC) positively impacts patient outcomes, decreases hospital admissions and improves quality of life. Despite evidence, PC resources are reported as under-utilised. Few studies have explored patient attitudes towards PC. This study evaluated patient attitudes towards PC. It was a prospective study conducted in oncology outpatient clinics. A 26-item questionnaire was distributed to those with metastatic cancer (N = 44). Sixty percent believed PC can make people ‘feel better’, 63.4% believed PC is offered when nothing more can be done. Most were unsure or disagreed that opioids are addictive. Eighty percent reported symptom control is more important than prolonging life. Sixty-one percent strongly agreed or agreed that ‘losing hope makes people die sooner’. Although PC was deemed beneficial, a significant relationship exists between familiarity with PC and thinking it’s offered when ‘nothing more can be done’. Lack of knowledge about opioids, preference for symptom control over life prolonging measures and the importance of hope were also emphasised.

  1. Classification of Meteorological Drought

    Institute of Scientific and Technical Information of China (English)

    Zhang Qiang; Zou Xukai; Xiao Fengjin; Lu Houquan; Liu Haibo; Zhu Changhan; An Shunqing

    2011-01-01

    Background The national standard of the Classification of Meteorological Drought (GB/T 20481-2006) was developed by the National Climate Center in cooperation with Chinese Academy of Meteorological Sciences,National Meteorological Centre and Department of Forecasting and Disaster Mitigation under the China Meteorological Administration (CMA),and was formally released and implemented in November 2006.In 2008,this Standard won the second prize of the China Standard Innovation and Contribution Awards issued by SAC.Developed through independent innovation,it is the first national standard published to monitor meteorological drought disaster and the first standard in China and around the world specifying the classification of drought.Since its release in 2006,the national standard of Classification of Meteorological Drought has been used by CMA as the operational index to monitor and drought assess,and gradually used by provincial meteorological sureaus,and applied to the drought early warning release standard in the Methods of Release and Propagation of Meteorological Disaster Early Warning Signal.

  2. Prostate Cancer

    OpenAIRE

    Eggener, Scott

    2011-01-01

    Prostate cancer continues to be a significant public health issue worldwide, particularly in countries where men have life expectancies long enough to clinically manifest the disease. In many countries, it remains one of the leading causes of cancer-related morbidity and mortality.Although significant progress has been made over the past few decades, many elements regarding the diagnosis and management of patients with prostate cancer remain enigmatic. In this Prostate Cancer special issue, o...

  3. Cancer

    Science.gov (United States)

    Cancer begins in your cells, which are the building blocks of your body. Normally, your body forms ... be benign or malignant. Benign tumors aren't cancer while malignant ones are. Cells from malignant tumors ...

  4. {sup 18}F-FDG PET/CT quantification in head and neck squamous cell cancer: principles, technical issues and clinical applications

    Energy Technology Data Exchange (ETDEWEB)

    Manca, Gianpiero; Volterrani, Duccio [University Hospital of Pisa, Regional Center of Nuclear Medicine, Pisa (Italy); Vanzi, Eleonora [University Hospital of Siena, Service of Medical Physics, Siena (Italy); Rubello, Domenico; Grassetto, Gaia [Santa Maria della Misericordia Rovigo Hospital, Department of Nuclear Medicine, Rovigo (Italy); Giammarile, Francesco [Faculte Charles Merieux, Medecine Nucleaire, Centre Hospitalier and Biophysique, Lyon (France); Wong, Ka Kit [University of Michigan Hospital, Nuclear Medicine/Radiology Department, Ann Arbor, MI (United States); Nuclear Medicine Service, Department of Veterans Affairs Health System, Ann Arbor, MI (United States); Perkins, Alan C. [University of Nottingham, Department of Radiological Sciences, School of Medicine, Nottingham (United Kingdom); Colletti, Patrick M. [Southern University of California, Department of Radiology, Los Angeles, CA (United States)

    2016-07-15

    {sup 18}F-FDG PET/CT plays a crucial role in the diagnosis and management of patients with head and neck squamous cell cancer (HNSCC). The major clinical applications of this method include diagnosing an unknown primary tumour, identifying regional lymph node involvement and distant metastases, and providing prognostic information. {sup 18}F-FDG PET/CT is also used for precise delineation of the tumour volume for radiation therapy planning and dose painting, and for treatment response monitoring, by detecting residual or recurrent disease. Most of these applications would benefit from a quantitative approach to the disease, but the quantitative capability of {sup 18}F-FDG PET/CT is still underused in HNSCC. Innovations in PET/CT technology promise to overcome the issues that until now have hindered the employment of dynamic procedures in clinical practice and have limited ''quantification'' to the evaluation of standardized uptake values (SUV), de facto a semiquantitative parameter, the limits of which are well known to the nuclear medicine community. In this paper the principles of quantitative imaging and the related technical issues are reviewed so that professionals involved in HNSCC management can reflect on the advantages of ''true'' quantification. A discussion is then presented on how semiquantitative information is currently used in clinical {sup 18}F-FDG PET/CT applications in HNSCC, by discussing the improvements that could be obtained with more advanced and ''personalized'' quantification techniques. (orig.)

  5. No evident dose-response relationship between cellular ROS level and its cytotoxicity – a paradoxical issue in ROS-based cancer therapy

    OpenAIRE

    Chunpeng Zhu; Wei Hu; Hao Wu; Xun Hu

    2014-01-01

    Targeting cancer via ROS-based mechanism has been proposed as a radical therapeutic approach. Cancer cells exhibit higher endogenous oxidative stress than normal cells and pharmacological ROS insults via either enhancing ROS production or inhibiting ROS-scavenging activity can selectively kill cancer cells. In this study, we randomly chose 4 cancer cell lines and primary colon or rectal cancer cells from 4 patients to test the hypothesis and obtained following paradoxical results: while piper...

  6. Classification in context

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper surveys classification research literature, discusses various classification theories, and shows that the focus has traditionally been on establishing a scientific foundation for classification research. This paper argues that a shift has taken place, and suggests that contemporary...... classification research focus on contextual information as the guide for the design and construction of classification schemes....

  7. Survival of non-seminomatous germ cell cancer patients according to the IGCC classification: An update based on meta-analysis.

    Science.gov (United States)

    van Dijk, Merel R; Steyerberg, Ewout W; Habbema, J Dik F

    2006-05-01

    The International Germ Cell Consensus (IGCC) Classification distinguishes patients with non-seminomatous germ cell tumours (NSGCT) with a good, intermediate or poor prognosis, with a reported 5-year overall survival of 92%, 80% and 48%, respectively. Since the IGCC classification was based on patients treated between 1975 and 1990, we aimed to investigate whether survival has improved for more recently treated patients. We did a systematic search of the literature and included studies on survival of patients with NSGCT, treated after 1989 and classified according to the IGCC classification. Survival estimates of selected studies were pooled using meta-analytic techniques. We included 10 papers, describing 1775 patients with NSGCT with good (n = 1087), intermediate (n = 232), or poor (n = 456) prognosis. Pooled 5-year survival estimates were 94%, 83% and 71%, respectively. Since the publication of the IGCC classification, there was a small increase in survival for good and intermediate prognosis patients, and a large increase in survival for patients with a poor prognosis. This increase is most likely due to both more effective treatment strategies and more experience in treating NSGCT patients.

  8. 转录抑制因子Snail表达与胃癌Lauren分型的关系研究%Association of transcriptional repressor Snail with Lauren classification of gastric cancer

    Institute of Scientific and Technical Information of China (English)

    贺宏勇; 汪学非; 沈振斌; 陈伟东; 孙益红

    2012-01-01

    目的 探讨转录抑制因子Snail表达与胃癌Lauren分型的关系.方法 Western印迹检测肠型胃癌细胞系(N87)和弥漫型胃癌细胞系(AGS)中Snail和上皮型E钙黏蛋白(E-cadherin)的表达.将糖原合酶激酶-3β(GSK-3β)质粒转染胃癌细胞系,检测Snail和E-cadherin的表达变化.收集2000年2月至2005年12月间在复旦大学附属中山医院行胃癌根治术的77例术后组织标本,采用免疫组织化学染色检测Snail在胃癌组织中表达,并分析其与胃癌Lauren分型之间的关系.结果 Snail在N87中低表达,在AGS中高表达;E-cadherin表达与Snail相反.转染GSK-3β后,胃癌细胞Snail表达显著下调,E-cadherin表达显著上调(P<0.01).使用不同浓度的GSK-3β抑制剂氯化锂处理后,胃癌细胞Snail表达显著上调,且具有明显浓度依赖性(P<0.01).21例肠型胃癌中Snail低表达16例,高表达5例;56例弥漫型胃癌中Snail低表达21例,高表达35例;肠型胃癌中Snail表达明显弱于弥漫型,差异有统计学意义(P<0.01).结论 Snail的表达与胃癌Lauren分型有关,是一种潜在的确定胃癌分型的分子标志物.%Objective To explore the association of Snail expression and Lauren classification of gastric cancer.Methods The protein levels of Snail and E-cadherin were detected by Western blot in N87(intestinal-type gastric cancer cell line) and AGS(diffuse-type gastric cancer cell line) cell lines and those after transfection of GSK-3β plasmid.The study included a total of 77 patients with primary gastric cancer who underwent curative gastrectomy in the Zhongshan Hospital from February 2000 to December 2005 without any chemotherapy or radiation therapy before surgery.Tissues of gastric cancer specimens were stained using immunohistochemistry to determine Snail expression.Results Snail expression was low in N78 and high in AGS.E-cadherin expression showed reverse expression pattern.After transfection with GSK-3β,the expression of Snail was

  9. Children Procedures and Treatment (Fertility Issues)

    Medline Plus

    Full Text Available ... good support resources for parents, patients, and their families? What can a girl's cancer doctor do to ... the concerns of people with cancer and their families? What are the legal issues for young boys ...

  10. Validity of the recorded International Classification of Diseases, 10th edition diagnoses codes of bone metastases and skeletal-related events in breast and prostate cancer patients in the Danish National Registry of Patients

    Directory of Open Access Journals (Sweden)

    Annette Østergaard Jensen

    2009-07-01

    Full Text Available Annette Østergaard Jensen1, Mette Nørgaard1, Mellissa Yong2, Jon P Fryzek2, Henrik Toft Sørensen11Department of Clinical Epidemiology, Aarhus University hospital, Århus, Denmark; 2Global Epidemiology, Amgen inc., Thousands Oaks, CA, USAObjective: The clinical history of bone metastases and skeletal-related events (SREs secondary to cancers is not well understood. In support of studies of the natural history of bone metastases and SREs in Danish prostate and breast cancer patients, we estimated the sensitivity and specificity of hospital diagnoses for bone metastases and SREs (ie, radiation therapy to the bone, pathological or osteoporotic fractures, spinal cord compression and surgery to the bone in a nationwide medical registry in Denmark.Study design and setting: In North Jutland County, Denmark, we randomly sampled 100 patients with primary prostate cancer and 100 patients with primary breast cancer diagnoses from the National Registry of Patients (NRP, during the period January 1st, 2000 to December 31st, 2000 and followed them for up to five years after their cancer diagnosis. We used information from medical chart reviews as the reference for estimating sensitivity, and specificity of the NRP International Classification of Diseases, 10th edition (ICD-10 coding for bone metastases and SRE diagnoses. Results: For prostate cancer, the overall sensitivity of bone metastases or SRE coding in the NRP was 0.54 (95% confidence interval [CI]: 0.39–0.69, and the specificity was 0.96 (95% CI: 0.87–1.00. For breast cancer, the overall sensitivity of bone metastases or SRE coding in the NRP was 0.58 (95% CI: 0.34–0.80, and the specificity was 0.95 (95% CI: 0.88–0.99. Conclusion: We measured the validity of ICD-10 coding in the Danish NRP for bone metastases and SREs in prostate and breast cancer patients and found it has adequate sensitivity and high specificity. The NRP remains a valuable tool for clinical epidemiological studies of bone

  11. Is classification necessary after Google?

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2012-01-01

    believe that the activity of “classification” is not worth the effort, as search engines can be improved without the heavy cost of providing metadata. Design/methodology/approach – The basic issue in classification is seen as providing criteria for deciding whether A should be classified as X......Purpose – The purpose of this paper is to examine challenges facing bibliographic classification at both the practical and theoretical levels. At the practical level, libraries are increasingly dispensing with classifying books. At the theoretical level, many researchers, managers, and users....... Such decisions are considered to be dependent on the purpose and values inherent in the specific classification process. These decisions are not independent of theories and values in the document being classified, but are dependent on an interpretation of the discourses within those documents. Findings...

  12. Subtype prediction in pediatric acute myeloid leukemia: Classification using differential network rank conservation revisited

    NARCIS (Netherlands)

    A. Obulkasim (Askar); M.W.J. Fornerod (Maarten); C.M. Zwaan (Christian Michel); D. Reinhardt (Dirk); M.M. van den Heuvel-Eibrink (Marry)

    2015-01-01

    textabstractBackground: One of the most important application spectrums of transcriptomic data is cancer phenotype classification. Many characteristics of transcriptomic data, such as redundant features and technical artifacts, make over-fitting commonplace. Promising classification results often fa

  13. A novel multiplex assay combining autoantibodies plus PSA has potential implications for classification of prostate cancer from non-malignant cases

    Directory of Open Access Journals (Sweden)

    Pantuck Allan J

    2011-04-01

    Full Text Available Abstract Background The lack of sufficient specificity and sensitivity among conventional cancer biomarkers, such as prostate specific antigen (PSA for prostate cancer has been widely recognized after several decades of clinical implications. Autoantibodies (autoAb among others are being extensively investigated as potential substitute markers, but remain elusive. One major obstacle is the lack of a sensitive and multiplex approach for quantifying autoAb against a large panel of clinically relevant tumor-associated antigens (TAA. Methods To circumvent preparation of phage lysates and purification of recombinant proteins, we identified B cell epitopes from a number of previously defined prostate cancer-associated antigens (PCAA. Peptide epitopes from cancer/testis antigen NY-ESO-1, XAGE-1b, SSX-2,4, as well as prostate cancer overexpressed antigen AMACR, p90 autoantigen, and LEDGF were then conjugated with seroMAP microspheres to allow multiplex measurement of autoAb present in serum samples. Moreover, simultaneous quantification of autoAb plus total PSA was achieved in one reaction, and termed the "A+PSA" assay. Results Peptide epitopes from the above 6 PCAA were identified and confirmed that autoAb against these peptide epitopes reacted specifically with the full-length protein. A pilot study was conducted with the A+PSA assay using pre-surgery sera from 131 biopsy-confirmed prostate cancer patients and 121 benign prostatic hyperplasia and/or prostatitis patients. A logistic regression-based A+PSA index was found to enhance sensitivities and specificities over PSA alone in distinguishing prostate cancer from nonmalignant cases. The A+PSA index also reduced false positive rate and improved the area under a receiver operating characteristic curve. Conclusions The A+PSA assay represents a novel platform that integrates autoAb signatures with a conventional cancer biomarker, which may aid in the diagnosis and prognosis of prostate cancer and others.

  14. Preventing Breast Cancer: Making Progress

    Science.gov (United States)

    ... Navigation Bar Home Current Issue Past Issues Preventing Breast Cancer: Making Progress Past Issues / Fall 2006 Table of ... 000 women will have been diagnosed with invasive breast cancer, and nearly 41,000 women will die from ...

  15. Profiling of microRNAs in tumor interstitial fluid of breast tumors – a novel resource to identify biomarkers for prognostic classification and detection of cancer

    DEFF Research Database (Denmark)

    Halvorsen, Ann Rita; Helland, Åslaug; Gromov, Pavel

    2017-01-01

    and to elucidate the cross-talk that exists among cells in a tumor microenvironment. Matched tumor interstitial fluid samples (TIF, n = 60), normal interstitial fluid samples (NIF, n = 51), corresponding tumor tissue specimens (n = 54), and serum samples (n = 27) were collected from patients with breast cancer......, and detectable microRNAs were analyzed and compared. In addition, serum data from 32 patients with breast cancer and 22 healthy controls were obtained for a validation study. To identify potential serum biomarkers of breast cancer, first the microRNA profiles of TIF and NIF samples were compared. A total of 266...

  16. Profiling of microRNAs in tumor interstitial fluid of breast tumors – a novel resource to identify biomarkers for prognostic classification and detection of cancer

    DEFF Research Database (Denmark)

    Halvorsen, Ann Rita; Helland, Åslaug; Gromov, Pavel;

    2016-01-01

    and to elucidate the cross-talk that exists among cells in a tumor microenvironment. Matched tumor interstitial fluid samples (TIF, n = 60), normal interstitial fluid samples (NIF, n = 51), corresponding tumor tissue specimens (n = 54), and serum samples (n = 27) were collected from patients with breast cancer......, and detectable microRNAs were analyzed and compared. In addition, serum data from 32 patients with breast cancer and 22 healthy controls were obtained for a validation study. To identify potential serum biomarkers of breast cancer, first the microRNA profiles of TIF and NIF samples were compared. A total of 266...

  17. 结肠癌患者贫血与肿瘤大体分型及临床病理分期的关系%Relationship between Anemia in Colon Cancer and General Classification and Clinico-pathological Staging of Colon Cancer

    Institute of Scientific and Technical Information of China (English)

    黄国定

    2015-01-01

    Objective To study the relationship between anemia in colon cancer and general classification and clinico-pathological staging of colon cancer.Methods 160 cases of colon cancer were divided into anemic group and non-anemic group. Tumor size,gross type,clinical staging and other general situation of the 2 groups were compared;Blood routine and iron metabo-lism indexes in different general classification and clinicopathological staging were compared.Results The tumor diameter >4 cm,general type of invasion,cliniopathological stage C,D ratio in anemia group was significantly higher than that of non-anemic group,P4 cm、大体分型为浸润型、临床病理分期C、D期者比例显著高于非贫血组,P<0.05. 浸润型红细胞、血红蛋白、血清铁和铁蛋白水平均显著低于非浸润型,P<0.01. C、D期红细胞、血红蛋白、血清铁和铁蛋白水平均显著低于A、B期,P<0.01. 结论 结肠癌患者贫血与肿瘤大体分型及临床病理分期有一定相关性.

  18. Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes

    Directory of Open Access Journals (Sweden)

    Valérie Bourdès

    2010-01-01

    Full Text Available The aim of this study was to compare multilayer perceptron neural networks (NNs with standard logistic regression (LR to identify key covariates impacting on mortality from cancer causes, disease-free survival (DFS, and disease recurrence using Area Under Receiver-Operating Characteristics (AUROC in breast cancer patients. From 1996 to 2004, 2,535 patients diagnosed with primary breast cancer entered into the study at a single French centre, where they received standard treatment. For specific mortality as well as DFS analysis, the ROC curves were greater with the NN models compared to LR model with better sensitivity and specificity. Four predictive factors were retained by both approaches for mortality: clinical size stage, Scarff Bloom Richardson grade, number of invaded nodes, and progesterone receptor. The results enhanced the relevance of the use of NN models in predictive analysis in oncology, which appeared to be more accurate in prediction in this French breast cancer cohort.

  19. Group classification based on high-dimensional data: application to differential scanning calorimetry plasma thermogram analysis of cervical cancer and control samples

    OpenAIRE

    Rai, Shesh; Pan,, Y.B.; Cambon,; Chaires,; Garbett,

    2013-01-01

    Shesh N Rai,1,2 Jianmin Pan,1 Alex Cambon,2 Jonathan B Chaires,3–5 Nichola C Garbett3,4 1Biostatistics Shared Facility, James Graham Brown Cancer Center, University of Louisville, 2Department of Bioinformatics and Biostatistics, University of Louisville, 3Biophysical Core Facility, James Graham Brown Cancer Center, University of Louisville, 4Department of Medicine, University of Louisville, 5Department of Biochemistry and Molecular Biology, University of Louisville, Louisville, KY, ...

  20. 肺癌细胞病理学样本组织学分类及分子病理学检测%Histological classification and molecular pathology of lung cancer cytopathology sample

    Institute of Scientific and Technical Information of China (English)

    徐海苗; 程晔; 孙文勇

    2013-01-01

    Objective To study histological classification and molecular detection solutions of cytopathology samples in lung cancer.Methods 120 cases of lung cancer cytopathology samples have made qualitative diagnosis in conventional smear,and have made the histological classification in part,and then carried out 8 immunohistochemical staining of thyroid transcription factor 1 (TIF-1),p63,E-calcium mucins (E-CAD),creatine kinase 5/6 (CK5/6),epithelial membrane antigen (EMA),synaptic element (Syn),neural cell adhesion molecule 56 (CD56),chromogranin A (CgA) and Calretinin (CR) combined with cell block section,classification again and comparative study both;Part cases of adenocarcinoma have made epidermal growth factor receptor (EGFR) mutation detection.Results Overall parting rate of conventional smear lung cancer histologic and parting rate of non-small cell carcinoma were significantly lower than that in parting rate basis on cell block combined with immunohistochemical stains (39.2% vs.88.3% ;29.7% vs.85.1%,x2 =60.359,72.098,P <0.01),EGFR mutation detection 94.7% (36/38) success.Conclusion Lung cancer cell biology sample should be conducted conventional smear,cell blocksection and combined with immunohistochemical staining,and then make histologic classification;Cell blockprovides a effective platform for cytopathology samples detection.%目的 探讨肺癌在细胞病理学样本组织学分类及分子学检测解决方案.方法 120例肺癌细胞学样本在常规涂片做出定性诊断并部分予以组织学分类后,结合细胞蜡块切片进行甲状腺转录因子-1(TTF-1)、p63、E-钙黏蛋白(E-cad)、细胞角蛋白(CK5/6)、上皮膜抗原(EMA)、突触素(Syn)、神经细胞黏附分子(CD56)、嗜铬素A(CgA)、视网膜钙蛋白(CR)等8项的免疫组织化学染色后再分类并对两者进行比较;部分腺癌病例进行表皮生长因子受体(EGFR)突变检测.结果 常规涂片肺癌组织学总体分型率及非小细胞癌的分

  1. Transient Detection and Classification

    CERN Document Server

    Becker, Andrew C

    2008-01-01

    I provide an incomplete inventory of the astronomical variability that will be found by next-generation time-domain astronomical surveys. These phenomena span the distance range from near-Earth satellites to the farthest Gamma Ray Bursts. The surveys that detect these transients will issue alerts to the greater astronomical community; this decision process must be extremely robust to avoid a slew of ``false'' alerts, and to maintain the community's trust in the surveys. I review the functionality required of both the surveys and the telescope networks that will be following them up, and the role of VOEvents in this process. Finally, I offer some ideas about object and event classification, which will be explored more thoroughly by other articles in these proceedings.

  2. Research on the Gastric Cancer Clinical Medical Data Mining Research Based on SPRINT Classification Algorithm%基于SPRINT算法的胃癌临床医疗数据挖掘研究

    Institute of Scientific and Technical Information of China (English)

    郑丹青

    2012-01-01

    To supply the data mining demand,a decision-tree based model is proposed for gastric cancer clinical medical information analysis and application.The model is developed from the existing operational database or data warehouse,from which the factors related to gastric cancer recurrence are extracted to form a decision tree training data set.Using the SPRINT classification algorithm,the model is capable of analyzing the risk factors for gastric cancer recurrence.Based on the analysis of all the potential factors affecting clinical diagnosis,treatment and prognosis,the model confirmed that the primary risk factor for gastric cancer recurrence was hereditary.%为了满足数据挖掘的需要,本文提出了一个基于决策树的胃癌临床医疗信息分析应用研究模型.该模型是从业务数据库或数据仓库中抽取与胃癌术后复发因素有关的数据,形成决策树的训练数据集.运用SPRINT算法,构建胃癌术后复发的危险因素分析模型.通过对模型分析,寻找疾病的临床诊断、治疗和预后的关系,证实胃癌术后复发首要危险因素是家族遗传.

  3. Characteristics of Differently Located Colorectal Cancers Support Proximal and Distal Classification: A Population-Based Study of 57,847 Patients

    Science.gov (United States)

    Yang, Jiao; Du, Xiang lin; Li, Shu ting; Wang, Bi yuan; Wu, Yin ying; Chen, Zhe ling; Lv, Meng; Shen, Yan wei; Wang, Xin; Dong, Dan feng; Li, Dan; Wang, Fan; Li, En xiao; Yi, Min

    2016-01-01

    Background It has been suggested that colorectal cancer be regarded as several subgroups defined according to tumor location rather than as a single entity. The current study aimed to identify the most useful method for grouping colorectal cancer by tumor location according to both baseline and survival characteristics. Methods Cases of pathologically confirmed colorectal adenocarcinoma diagnosed from 2000 to 2012 were identified from the Surveillance, Epidemiology, and End Results database and categorized into three groups: right colon cancer (RCC), left colon cancer (LCC), and rectal cancer (ReC). Adjusted hazard ratios for known predictors of disease-specific survival (DSS) in colorectal cancer were obtained using a Cox proportional hazards regression model. Results The study included 57847 patients: 43.5% with RCC, 37.7% with LCC, and 18.8% with ReC. Compared with LCC and ReC, RCC was more likely to affect old patients and women, and to be at advanced stage, poorly differentiated or un-differentiated, and mucinous. Patients with LCC or ReC had better DSS than those with RCC in subgroups including stage III or IV disease, age ≤70 years and non-mucinous adenocarcinoma. Conversely, patients with LCC or ReC had worse DSS than those with RCC in subgroups including age ˃70 years and mucinous adenocarcinoma. Conclusions RCC differed from both LCC and ReC in several clinicopathologic characteristics and in DSS. It seems reasonable to group colorectal cancer into right-sided (i.e., proximal) and left-sided (i.e., distal) ones. PMID:27936129

  4. Classification of the web

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper discusses the challenges faced by investigations into the classification of the Web and outlines inquiries that are needed to use principles for bibliographic classification to construct classifications of the Web. This paper suggests that the classification of the Web meets challenges...

  5. Cluster Based Text Classification Model

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock

    2011-01-01

    We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases...

  6. APT-KNN:一种面向分类问题的高效缺失值填充算法%APT-KNN : AN EFFICIENT MISSING VALUE IMPUTATION METHOD ORIENTED TOWARD CLASSIFICATION ISSUE

    Institute of Scientific and Technical Information of China (English)

    徐宇明; 陈诚; 熊赟; 朱扬勇

    2011-01-01

    分类是一种常见的数据挖掘方法,而属性值缺失是分类过程中常见的一类数据质量问题,缺失值填充可以减少属性值缺失造成的分类错误.缺失值填充首先要求准确率高,在许多实际应用当中,缺失值填充还必须保证较高的计算效率.提出了一种填充缺失属性值算法APT-KNN,APT-KNN算法利用属性与属性之间的相互关系,根据与目标最相似的几个实例属性值来估计缺失值,以保证填充结果具有更高的准确性,同时设计了一种优化的AntiPole树索引结构,提高了缺失属性值的填充效率.实验表明,APT-KNN方法与现有的几种缺失属性填充方法相比,具有更高的准确率和填充效率.%Classification is one of the common data mining methods. However,one common data quality problem in classification process is attribute value missing,and missing data imputation can reduce the effect on the classification errors caused by the attribute value missing.Missing data imputation requires high accuracy first, and it shall ensure higher computation efficiency in many practical applications as well. In this paper,we present a new imputation method for missed attribute value - APT-KNN ,it makes use of the relations among the attributes and estimates the missing value according to a couple of instance attribute values which are most similar to the object,so as to guarantee higher accuracy of the imputed results. At the same time,an optimised AntiPole-Tree index structure is designed, which improves the efficiency of missed attribute values imputation. Experiments show that APT-KNN outperforms several current methods of missed attribute imputation on efficiency and accuracy.

  7. Sports Type Classification using Signature Heatmaps

    DEFF Research Database (Denmark)

    Gade, Rikke; Moeslund, Thomas B.

    2013-01-01

    Automatic classification of activities in a sports arena is important in order to analyse and optimise the use of the arenas. In this work we classify five sports types based only on occupancy heatmaps produced from position data. Due to privacy issues we use thermal imaging for detecting people...... and then calculate their positions on the court us- ing homography. Heatmaps are produced by summarising Gaussian distributions respresenting people over 10-minute periods. Before classification the heatmaps are projected to a low-dimensional discriminative space using the principle of Fisherfaces. Our result using...... two weeks of video are very promising with a correct classification of 90.76 %....

  8. WHO-EORTC classification for cutaneous lymphomas.

    Science.gov (United States)

    Willemze, Rein; Jaffe, Elaine S; Burg, Günter; Cerroni, Lorenzo; Berti, Emilio; Swerdlow, Steven H; Ralfkiaer, Elisabeth; Chimenti, Sergio; Diaz-Perez, José L; Duncan, Lyn M; Grange, Florent; Harris, Nancy Lee; Kempf, Werner; Kerl, Helmut; Kurrer, Michael; Knobler, Robert; Pimpinelli, Nicola; Sander, Christian; Santucci, Marco; Sterry, Wolfram; Vermeer, Maarten H; Wechsler, Janine; Whittaker, Sean; Meijer, Chris J L M

    2005-05-15

    Primary cutaneous lymphomas are currently classified by the European Organization for Research and Treatment of Cancer (EORTC) classification or the World Health Organization (WHO) classification, but both systems have shortcomings. In particular, differences in the classification of cutaneous T-cell lymphomas other than mycosis fungoides, Sezary syndrome, and the group of primary cutaneous CD30+ lymphoproliferative disorders and the classification and terminology of different types of cutaneous B-cell lymphomas have resulted in considerable debate and confusion. During recent consensus meetings representatives of both systems reached agreement on a new classification, which is now called the WHO-EORTC classification. In this paper we describe the characteristic features of the different primary cutaneous lymphomas and other hematologic neoplasms frequently presenting in the skin, and discuss differences with the previous classification schemes. In addition, the relative frequency and survival data of 1905 patients with primary cutaneous lymphomas derived from Dutch and Austrian registries for primary cutaneous lymphomas are presented to illustrate the clinical significance of this new classification.

  9. Cancer

    Science.gov (United States)

    ... uses a surgical tool to remove the tumor.Mohs' surgery. Layers of cancer cells are removed one ... usually have not been approved by the U.S. Food and Drug Administration (FDA). The medicine may have ...

  10. Devising and external validation of a prognostic classification of metastatic involvement risk to pelvic lymph nodes in patients with newly diagnosed prostate cancer

    Directory of Open Access Journals (Sweden)

    E. A. Leusik

    2015-01-01

    Full Text Available Objective – assessing the predictive significance of clinical, histologic and biochemical factors for prediction of metastases in pelvic lymph nodes (MPLN, devising and validating of prognostic classification.Materials and methods. The study enrolled 1140 patients subjected to radical prostatectomy (RPE with standard pelvic lymphadenectomy for prostate adenocarcinoma: 865 of them at the classification devising stage and 275 in the course of validation.Results. According to the findings of multivariate logistic regression analysis, PSA level, the tumor cT stage and Gleason score are independent predictors of MPLN detection after RPE (p < 0.05. The prognostic factors were stratified by score for assessing the detection of regional metastases after RPE, depending on the combination of predictors. In the group of patients with a score estimate of prognostic factors < 10, the MPLN detection rate was significantly lower than in the group of with a score estimate > 15, accounting for 3.5 % and 23.7 % respectively (р < 0.0001. In the course of validating the obtained findings in clinic, metastatic involvement of pelvic lymph nodes found in the result of RPE was diagnosed in 40.0 % of the patients with a score estimate > 15 and only in 1.3 % of those with a total estimate of prognostic factors < 10 (р < 0.0001.

  11. The correlation between calcification breast cancer of X-ray manifestations and its pathologic classification and grading%乳腺癌钙化的X线表现与病理学分型分级的相关性

    Institute of Scientific and Technical Information of China (English)

    张曦; 汪湍; 蔡斌; 李莉; 冯成堂; 文智

    2013-01-01

    目的 探讨乳腺癌钙化的X线表现与病理组织学分型分级的关系.方法 收集行数字化乳腺X线摄影检查,并经手术病理证实的166例乳腺癌,对病变钙化的形态、分布、数目以及钙化和肿块关系、钙化伴有情况与病理学分型分级之间的相关性进行分析.结果 导管原位癌:低级别成簇分布占71.4% (5/7);钙化合并肿块占57.1%(4/7);中级别钙化伴致密影占40.0% (2/5);高级别钙化数目>35个占77.8%(21/27).浸润性导管癌:Ⅰ级钙化数目>35个占50.0%(4/8);钙化伴致密影占37.5%(3/8); Ⅱ级钙化数目<15个占36.8%(28/76);钙化合并肿块占72.4% (55/76);钙化在肿块内占44.7%(34/76);Ⅲ级钙化成簇分布占75.0% (15/20).结论乳腺癌不同病理分型影像学表现各有不同,根据乳腺癌钙化X线表现对其进行分型分级研究,为指导临床提供帮助.%Objective To explore the correlation between calcification of breast cancer of X-ray manifestations and pathologic-his-tological classification and grading. Methods 166 cases of surgical pathologically confirmed breast cancer that were underwent digital breast radiography examination were enrolled in this study. The lesions' calcification form, distribution, number, the relationship between calcification and mass, as well as the correlation between calcification and pathology classification and grading. Results Duc-tal carcinoma in situ: low grade tumor with clustering calcification accounted for 71. 4% (5/7) ; calcification with mass accounted for 57. 1 % (4/7) ; middle grade tumor with calcification and high density accounted for 10. 0% (2/5) ; there were more than 35 calcification foci at high grade tumors (77. 8%, 21/27). Infiltrating ductal carcinoma: Ⅰ level calcification number more than 35 accounted for 50. 0% (4/8) ; calcification with high density accounted for 37.0% (3/8) ; Ⅱ level calcification number less than 15 accounted for 36. 8% (28/76); calcification with mass

  12. Application value of ultrasonic BI-RADS classification in breast cancer screening%超声BI-RADS分级在社区乳腺癌筛查中的价值

    Institute of Scientific and Technical Information of China (English)

    王竞宇; 张恩荣; 何莲; 文强; 彭利; 罗雪; 陈艳

    2013-01-01

    Objective To study the application value of ultrasonic Breast Imaging Reporting and Data System (BI-RADS) classification in breast cancer screening.Methods 8760 cases of breast cancer patients treated with BI-RADS classification were analyzed.Results Level 1 of 3 cases accounted for 0.19% (3/1588).Level 2 accounted for 42.82% (680/1588).Level 3 accounted for 47.10% (748/1588).Level 4 accounted for 8.31% (132/1588).Level 5 cases accounted for 1.57% (25/1588).Among them,111 cases were surgeries,71 cases were benign breast masses and 40 cases are malignant tumors.Conclusion Ultrasonic BI-RADS classification to screening for breast cancer in community not only improves the specificity of diagnosis,and but also increases the susceptibility to breast cancer of malignant tumors.%目的 探讨乳腺超声影像报告和数据系统(Breast Imaging Reporting and Data System,BI-RADS)在乳腺癌筛查中的应用价值.方法 对2011年1月1日~2013年4月30日在我院门诊、体检中心及社区作乳腺检查的1588例女性作了BI-RADS分级,并对其中111例经手术病理证实的患者结果与BI-RADS分级进行相关分析.结果 1588例女性中,BI-RADS分级:1级3例(0.19%);2级680例(42.82%);3级748例(47.10%);4级132例(8.31%);5级25例(1.57%).手术的111例患者中良性肿块71例,恶性肿块40例,与超声BI-RADS分级密切相关,尤其分级为4级、5级的患者,超声诊断与手术病理结果的符合率分别达到76%与96%.结论 超声BI-RADS分级在社区乳腺癌筛查中,不但能提高诊断的特异性,而且还可提高对乳腺恶性肿瘤诊断的敏感性,具有重要的推广应用价值.

  13. The ISUP system of staging, grading and classification of renal cell neoplasia

    Directory of Open Access Journals (Sweden)

    Hemamali Samaratunga

    2014-07-01

    Full Text Available There have been significant changes in the staging, classification and grading of renal cell neoplasia in recent times. Major changes have occurred in our understanding of extra-renal extension by renal cell cancer and how gross specimens must be handled to optimally display extra-renal spread. Since the 1981 World Health Organization (WHO classification of renal tumors, in which only a handful of different entities were reported, many new morphological types have been described in the literature, resulting in 50 different entities reported in the 2004 WHO classification. Since 2004, further new entities have been recognized and reported necessitating an update of the renal tumor classification. There have also been numerous grading systems for renal cell carcinoma with Fuhrman grading, the most widely used system. In recent times, the prognostic value and the applicability of the Fuhrman grading system in practice has been shown to be, at best, suboptimal. To address these issues and to recommend reporting guidelines, the International Society of Urological Pathology (ISUP undertook a review of adult renal neoplasia through an international consensus conference in Vancouver in 2012. The conduct of the conference was based upon evidence from the literature and the current practice amongst recognized experts in the field. Working groups selected to deal with key topics evaluated current data and identified points of controversy. A pre-meeting survey of the ISUP membership was followed by the consensus conference at which a formal ballot was taken on each key issue. A 65% majority vote was taken as consensus. This review summarizes the outcome and recommendations of this conference with regards to staging, classification and grading of renal cell neoplasia.

  14. A CAD System for Identification and Classification of Breast Cancer Tumors in DCE-MR Images Based on Hierarchical Convolutional Neural Networks

    Directory of Open Access Journals (Sweden)

    Reza Rastiboroujeni

    2015-06-01

    Full Text Available In this paper, we propose a computer aided diagnosis (CAD system based on hierarchical convolutional neural networks (HCNNs to discriminate between malignant and benign tumors in breast DCE-MRIs. A HCNN is a hierarchical neural network that operates on two-dimensional images. A HCNN integrates feature extraction and classification processes into one single and fully adaptive structure. It can extract two-dimensional key features automatically, and it is relatively tolerant to geometric and local distortions in input images. We evaluate CNN implementation learning and testing processes based on gradient descent (GD and resilient back-propagation (RPROP approaches. We show that, proposed HCNN with RPROP learning approach provide an effective and robust neural structure to design a CAD base system for breast MRI, and has potential as a mechanism for the evaluation of different types of abnormalities in medical images.

  15. 乳腺癌分子分型的研究进展%The research progress of molecular classification of breast cancer

    Institute of Scientific and Technical Information of China (English)

    康宇娟; 刘思; 宋健; 张东伟

    2016-01-01

    Breast cancer is a highly heterogeneous disease,according to the immunohistochemical estrogen receptor (ER),progesterone receptor (PR),its human epidermal growth factor receptor (Her-2) the expression level of breast cancer can be divided into Luminal A,Luminal B,Her-2 positive type,basal cell type (Basal homininslike) four main subtypes.With the development of the tumor clinical individual therapy and the in-depth study of breast cancer gene expression profile,its application is more and more widely in clinical.%乳腺癌是一种高度异质性疾病,根据免疫组化雌激素受体(ER)、孕激素受体(PR)、人类表皮生长因子受体-2(Her-2)的表达水平可以将乳腺癌分为Luminal A型、Luminal B型、Her-2阳性型、基底细胞样(Basal-like)型4个主要亚型.随着肿瘤临床个体化治疗的开展以及乳腺癌基因表达谱的深入研究,其在临床中的应用越来越广泛.

  16. Generating Interpretable Fuzzy Systems for Classification Problems

    Directory of Open Access Journals (Sweden)

    Juan A. Contreras-Montes

    2009-12-01

    Full Text Available This paper presents a new method to generate interpretable fuzzy systems from training data to deal with classification problems. The antecedent partition uses triangular sets with 0.5 interpolations avoiding the presence of complex overlapping that happens in another method. Singleton consequents are generated form the projection of the modal values of each triangular membership function into the output space. Least square method is used to adjust the consequents. The proposed method gets a higher average classification accuracy rate than the existing methods with a reduced number of rules andparameters and without sacrificing the fuzzy system interpretability. The proposed approach is applied to two classical classification problems: Iris data and the Wisconsin Breast Cancer classification problem.

  17. 少数民族人权:权利分类与对应性保护%Minority Human Rights——the Corresponding Issues of Rights Classifications and Law Protections

    Institute of Scientific and Technical Information of China (English)

    李剑

    2012-01-01

    The legal protection of minority human rights should be based on detailed analysis of the rights system.The purpose of parsing is a way to achieve the legal protection corresponding to the type and property of the rights,and the spatial and temporal effect of the law should adapt to the demands of rights.According to a different classification criterion,the article divides the minority human rights with multiple meanings.Combined with the international legislative texts,we introduce the basic of legitimacy,the basic content and methods of protection of different rights.Finally,the paper analyzed the problems in the current national legislation and the process of rights protection,and then made a preliminary recommendations for system improvement.%少数民族民事习惯法治化既是中国法治建设的重要组成部分,也是地方法治建设的重要工程,关系着中国整体法治建设事业能否最终取得成功。因此,论文从立法和司法两个法治化的中心环节上对民事习惯的立法化、司法化路径进行了深入的探析,以期尽快实现少数民族民事习惯与国家民事法制的无缝对接与融合,加快民族地区国家统一法治建设进程。

  18. Classification of cultivated plants.

    NARCIS (Netherlands)

    Brandenburg, W.A.

    1986-01-01

    Agricultural practice demands principles for classification, starting from the basal entity in cultivated plants: the cultivar. In establishing biosystematic relationships between wild, weedy and cultivated plants, the species concept needs re-examination. Combining of botanic classification, based

  19. Palliative patients’ and significant others’ experiences of transitions concerning organizational, psychosocial and existential issues during the course of incurable cancer: A systematic review protocol

    DEFF Research Database (Denmark)

    Madsen, Rikke; Uhrenfeldt, Lisbeth

    2014-01-01

    ABSTRACT Review question/objective The objective of this review is to identify, appraise and synthesize the best available evidence exploring palliative patients’ or their significant others’ experiences of transitions during the course of incurable cancer. In this review, transitions are concept...... exploring euthanasia will be excluded because euthanasia is not included in the WHO definition of palliation. KEYWORDS Lived experience; incurable cancer; patient; significant other; transition; organizational; psychosocial; existential...

  20. Profiling of microRNAs in tumor interstitial fluid of breast tumors – a novel resource to identify biomarkers for prognostic classification and detection of cancer

    OpenAIRE

    Halvorsen, Ann Rita; Helland, Åslaug; Gromov, Pavel; Wielenga, Vera Timmermans; Talman, Maj-Lis Møller; Brünner, Nils; Sandhu, Vandana; Børresen-Dale, Anne-Lise; Gromova, Irina; Haakensen, Vilde D

    2017-01-01

    It has been hypothesized based on accumulated data that a class of small noncoding RNAs, termed microRNAs, are key factors in intercellular communication. Here, microRNAs present in interstitial breast tumor fluids have been analyzed to identify relevant markers for a diagnosis of breast cancer and to elucidate the cross-talk that exists among cells in a tumor microenvironment. Matched tumor interstitial fluid samples (TIF, n = 60), normal interstitial fluid samples (NIF, n = 51), correspondi...

  1. Bond Issues.

    Science.gov (United States)

    Pollack, Rachel H.

    2000-01-01

    Notes trends toward increased borrowing by colleges and universities and offers guidelines for institutions that are considering issuing bonds to raise money for capital projects. Discussion covers advantages of using bond financing, how use of bonds impacts on traditional fund raising, other cautions and concerns, and some troubling aspects of…

  2. 癌症识别中一种基于组合GCM和CCM的分类算法%Classification Algorithm Combined GCM with CCM in Cancer Recognition

    Institute of Scientific and Technical Information of China (English)

    卢新国; 林亚平; 骆嘉伟; 李丹

    2010-01-01

    根据基因表达谱数据的特点,提出了全局分量模型(global component model,简称GCM)和癌症组分量模型(cancer component model,简称CCM)两种癌症识别模型.结合GCM模型和CCM模型的互补性,利用基于权值的投票组合策略提出一种基于组合GCM和CCM的癌症分类算法(ensemble algorithm based on GCM and CCM for cancer recognition,简称EAGC).在Leukemia,Breast,Prostate,DLBCL,Colon,Ovarian这6个数据集上进行了独立测试实验和交叉测试实验.实验结果表明,EAGC有效地综合了GCM和CCM识别模型的解决方案,弥补了单个分类器的不足,具有较好的泛化性,在所有数据集上都取得较好的分类性能.

  3. Nomenclature and classification of temporomandibular joint disorders

    NARCIS (Netherlands)

    Stegenga, B.

    2010-01-01

    P>Currently, there are basically two approaches to classification, one based on structural and one on positional changes occurring within the joint. Despite the increase in knowledge of pathologic changes occurring within the temporomandibular joint (TMJ), the disc still seems to be a central issue

  4. Classification, disease, and diagnosis.

    Science.gov (United States)

    Jutel, Annemarie

    2011-01-01

    Classification shapes medicine and guides its practice. Understanding classification must be part of the quest to better understand the social context and implications of diagnosis. Classifications are part of the human work that provides a foundation for the recognition and study of illness: deciding how the vast expanse of nature can be partitioned into meaningful chunks, stabilizing and structuring what is otherwise disordered. This article explores the aims of classification, their embodiment in medical diagnosis, and the historical traditions of medical classification. It provides a brief overview of the aims and principles of classification and their relevance to contemporary medicine. It also demonstrates how classifications operate as social framing devices that enable and disable communication, assert and refute authority, and are important items for sociological study.

  5. CANCER

    Directory of Open Access Journals (Sweden)

    N. Kavoussi

    1973-09-01

    Full Text Available There are many carcinogenetic elements in industry and it is for this reason that study and research concerning the effect of these materials is carried out on a national and international level. The establishment and growth of cancer are affected by different factors in two main areas:-1 The nature of the human or animal including sex, age, point and method of entry, fat metabolism, place of agglomeration of carcinogenetic material, amount of material absorbed by the body and the immunity of the body.2 The different nature of the carcinogenetic material e.g. physical, chemical quality, degree of solvency in fat and purity of impurity of the element. As the development of cancer is dependent upon so many factors, it is extremely difficult to determine whether a causative element is principle or contributory. Some materials are not carcinogenetic when they are pure but become so when they combine with other elements. All of this creates an industrial health problem in that it is almost impossible to plan an adequate prevention and safety program. The body through its system of immunity protects itself against small amounts of carcinogens but when this amount increases and reaches a certain level the body is not longer able to defend itself. ILO advises an effective protection campaign against cancer based on the Well –equipped laboratories, Well-educated personnel, the establishment of industrial hygiene within factories, the regular control of safety systems, and the implementation of industrial health principles and research programs.

  6. Gene expression profiling of gliomas: merging genomic and histopathological classification for personalised therapy

    OpenAIRE

    Vitucci, M; Hayes, D N; Miller, C R

    2010-01-01

    The development of DNA microarray technologies over the past decade has revolutionised translational cancer research. These technologies were originally hailed as more objective, comprehensive replacements for traditional histopathological cancer classification systems, based on microscopic morphology. Although DNA microarray-based gene expression profiling (GEP) remains unlikely in the near term to completely replace morphological classification of primary brain tumours, specifically the dif...

  7. Cervical Cancer Screening | Cancer Trends Progress Report

    Science.gov (United States)

    The Cancer Trends Progress Report, first issued in 2001, summarizes our nation's advances against cancer in relation to Healthy People targets set forth by the Department of Health and Human Services.

  8. Ovarian Cancer Treatment | Cancer Trends Progress Report

    Science.gov (United States)

    The Cancer Trends Progress Report, first issued in 2001, summarizes our nation's advances against cancer in relation to Healthy People targets set forth by the Department of Health and Human Services.

  9. Aircraft Operations Classification System

    Science.gov (United States)

    Harlow, Charles; Zhu, Weihong

    2001-01-01

    Accurate data is important in the aviation planning process. In this project we consider systems for measuring aircraft activity at airports. This would include determining the type of aircraft such as jet, helicopter, single engine, and multiengine propeller. Some of the issues involved in deploying technologies for monitoring aircraft operations are cost, reliability, and accuracy. In addition, the system must be field portable and acceptable at airports. A comparison of technologies was conducted and it was decided that an aircraft monitoring system should be based upon acoustic technology. A multimedia relational database was established for the study. The information contained in the database consists of airport information, runway information, acoustic records, photographic records, a description of the event (takeoff, landing), aircraft type, and environmental information. We extracted features from the time signal and the frequency content of the signal. A multi-layer feed-forward neural network was chosen as the classifier. Training and testing results were obtained. We were able to obtain classification results of over 90 percent for training and testing for takeoff events.

  10. Theoretical Issues

    Energy Technology Data Exchange (ETDEWEB)

    Marc Vanderhaeghen

    2007-04-01

    The theoretical issues in the interpretation of the precision measurements of the nucleon-to-Delta transition by means of electromagnetic probes are highlighted. The results of these measurements are confronted with the state-of-the-art calculations based on chiral effective-field theories (EFT), lattice QCD, large-Nc relations, perturbative QCD, and QCD-inspired models. The link of the nucleon-to-Delta form factors to generalized parton distributions (GPDs) is also discussed.

  11. Space radiation protection issues.

    Science.gov (United States)

    Kronenberg, Amy; Cucinotta, Francis A

    2012-11-01

    The complex charged particle environments in space pose considerable challenges with regard to potential health consequences that can impact mission design and crew selection. The lack of knowledge of the biological effects of different ions in isolation and in combination is a particular concern because the risk uncertainties are very high for both cancer and non-cancer late effects. Reducing the uncertainties is of high priority. Two principal components of space radiation each raise different concerns. Solar particle events (SPE) occur sporadically and are comprised primarily of low- to moderate-energy protons. Galactic cosmic radiation (GCR) is isotropic and relatively invariant in dose rate. GCR is also dominated by protons, but the energy range is wider than in SPE. In addition, the contribution of other light and heavy ions to the health risks from GCR must be addressed. This paper will introduce the principal issues under consideration for space radiation protection.

  12. A critical evaluation of network and pathway based classifiers for outcome prediction in breast cancer

    CERN Document Server

    Staiger, C; Kooter, R; Dittrich, M; Mueller, T; Klau, G W; Wessels, L F A

    2011-01-01

    Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer. In these approaches, new composite features are typically constructed by aggregating the expression levels of several genes. The secondary data sources are employed to guide this aggregation. Although many studies claim that these approaches improve classification performance over single gene classifiers, the gain in performance is difficult to assess. This stems mainly from the fact that different breast cancer data sets and validation procedures are employed to assess the performance. Here we address these issues by employing a large cohort of six breast cancer data sets as benchmark set and by performing an unbiased evaluation of the classification accuracies of the different approaches. Contrary to previous claims, we find that composite feature classifiers do not outperform simple sin...

  13. Colorectal Cancer: Symptoms, Diagnosis, Treatment

    Science.gov (United States)

    ... Past Issues Special Section: Colorectal Cancer Colorectal Cancer: Symptoms, Diagnosis and Treatment Past Issues / Spring 2009 Table of ... version of this page please turn Javascript on. Symptoms Check with your healthcare provider if you have ...

  14. Classification of human leukocyte antigen (HLA) supertypes

    DEFF Research Database (Denmark)

    Wang, Mingjun; Claesson, Mogens H

    2014-01-01

    Identification of new antigenic peptides, derived from infectious agents or cancer cells, which bind to human leukocyte antigen (HLA) class I and II molecules, is of importance for the development of new effective vaccines capable of activating the cellular arm of the immune response. However...... this complexity is to group thousands of different HLA molecules into several so-called HLA supertypes: a classification that refers to a group of HLA alleles with largely overlapping peptide binding specificities. In this chapter, we focus on the state-of-the-art classification of HLA supertypes including HLA...

  15. Security classification of information

    Energy Technology Data Exchange (ETDEWEB)

    Quist, A.S.

    1989-09-01

    Certain governmental information must be classified for national security reasons. However, the national security benefits from classifying information are usually accompanied by significant costs -- those due to a citizenry not fully informed on governmental activities, the extra costs of operating classified programs and procuring classified materials (e.g., weapons), the losses to our nation when advances made in classified programs cannot be utilized in unclassified programs. The goal of a classification system should be to clearly identify that information which must be protected for national security reasons and to ensure that information not needing such protection is not classified. This document was prepared to help attain that goal. This document is the first of a planned four-volume work that comprehensively discusses the security classification of information. Volume 1 broadly describes the need for classification, the basis for classification, and the history of classification in the United States from colonial times until World War 2. Classification of information since World War 2, under Executive Orders and the Atomic Energy Acts of 1946 and 1954, is discussed in more detail, with particular emphasis on the classification of atomic energy information. Adverse impacts of classification are also described. Subsequent volumes will discuss classification principles, classification management, and the control of certain unclassified scientific and technical information. 340 refs., 6 tabs.

  16. Security classification of information

    Energy Technology Data Exchange (ETDEWEB)

    Quist, A.S.

    1993-04-01

    This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

  17. Post-surgical use of radioiodine (I-131) in patients with papillary and follicular thyroid cancer and the issue of remnant ablation : A consensus report

    NARCIS (Netherlands)

    Pacini, F; Schlumberger, M; Harmer, C; Berg, GG; Cohen, O; Duntas, L; Jamar, F; Jarzab, B; Limbert, E; Lind, P; Reiners, C; Franco, FS; Smit, J; Wiersinga, W

    2005-01-01

    Objective: To determine, based on published literature and expert clinical experience. current indications for the post-surgical administration of a large radioiodine activity in patients with differentiated thyroid cancer. Design and methods: A literature review was performed and was then analyzed

  18. Health-related quality of life in non-small-cell lung cancer: An update of a systematic review on methodologic issues in randomized controlled trials

    NARCIS (Netherlands)

    L. Claassens (Lily); J. van Meerbeeck (Jan); C. Coens (Corneel); C. Quinten (Chantal); I. Ghislain (Irina); E.K. Sloan (Elizabeth); X.S. Wang (Xin Shelly); G. Velikova (Galina); A. Bottomley (Andrew)

    2011-01-01

    textabstractPurpose This study is an update of a systematic review of health-related quality-of-life (HRQOL) methodology reporting in non-small-cell lung cancer (NSCLC) randomized controlled trials (RCTs). The objective was to evaluate HRQOL methodology reporting over the last decade and its benefit

  19. 42 CFR 412.10 - Changes in the DRG classification system.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 2 2010-10-01 2010-10-01 false Changes in the DRG classification system. 412.10... § 412.10 Changes in the DRG classification system. (a) General rule. CMS issues changes in the DRG classification system in a Federal Register notice at least annually. Except as specified in paragraphs (c)...

  20. 78 FR 18252 - Prevailing Rate Systems; North American Industry Classification System Based Federal Wage System...

    Science.gov (United States)

    2013-03-26

    ... Industry Classification System Based Federal Wage System Wage Surveys AGENCY: U. S. Office of Personnel... is issuing a proposed rule that would update the 2007 North American Industry Classification System... North American Industry Classification System (NAICS) codes used in Federal Wage System (FWS)...

  1. Gene selection and cancer type classification of diffuse large-B-cell lymphoma using a bivariate mixture model for two-species data.

    Science.gov (United States)

    Su, Yuhua; Nielsen, Dahlia; Zhu, Lei; Richards, Kristy; Suter, Steven; Breen, Matthew; Motsinger-Reif, Alison; Osborne, Jason

    2013-01-05

    : A bivariate mixture model utilizing information across two species was proposed to solve the fundamental problem of identifying differentially expressed genes in microarray experiments. The model utility was illustrated using a dog and human lymphoma data set prepared by a group of scientists in the College of Veterinary Medicine at North Carolina State University. A small number of genes were identified as being differentially expressed in both species and the human genes in this cluster serve as a good predictor for classifying diffuse large-B-cell lymphoma (DLBCL) patients into two subgroups, the germinal center B-cell-like diffuse large B-cell lymphoma and the activated B-cell-like diffuse large B-cell lymphoma. The number of human genes that were observed to be significantly differentially expressed (21) from the two-species analysis was very small compared to the number of human genes (190) identified with only one-species analysis (human data). The genes may be clinically relevant/important, as this small set achieved low misclassification rates of DLBCL subtypes. Additionally, the two subgroups defined by this cluster of human genes had significantly different survival functions, indicating that the stratification based on gene-expression profiling using the proposed mixture model provided improved insight into the clinical differences between the two cancer subtypes.

  2. Ontologies vs. Classification Systems

    DEFF Research Database (Denmark)

    Madsen, Bodil Nistrup; Erdman Thomsen, Hanne

    2009-01-01

    What is an ontology compared to a classification system? Is a taxonomy a kind of classification system or a kind of ontology? These are questions that we meet when working with people from industry and public authorities, who need methods and tools for concept clarification, for developing meta d...... classification systems and meta data taxonomies, should be based on ontologies.......What is an ontology compared to a classification system? Is a taxonomy a kind of classification system or a kind of ontology? These are questions that we meet when working with people from industry and public authorities, who need methods and tools for concept clarification, for developing meta...... data sets or for obtaining advanced search facilities. In this paper we will present an attempt at answering these questions. We will give a presentation of various types of ontologies and briefly introduce terminological ontologies. Furthermore we will argue that classification systems, e.g. product...

  3. Skin Cancer: Biology, Risk Factors & Treatment

    Science.gov (United States)

    ... turn Javascript on. Feature: Skin Cancer Skin Cancer: Biology, Risk Factors & Treatment Past Issues / Summer 2013 Table ... Articles Skin Cancer Can Strike Anyone / Skin Cancer: Biology, Risk Factors & Treatment / Timely Healthcare Checkup Catches Melanoma ...

  4. Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Scott Eggener

    2011-01-01

    Full Text Available Prostate cancer continues to be a significant public health issue worldwide, particularly in countries where men have life expectancies long enough to clinically manifest the disease. In many countries, it remains one of the leading causes of cancer-related morbidity and mortality.

  5. Information gathering for CLP classification

    OpenAIRE

    Ida Marcello; Felice Giordano; Francesca Marina Costamagna

    2011-01-01

    Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP). If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requireme...

  6. Preface to the Inaugural Issue

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    This is the first issue of the English edition for the Chinese Jotn'nal of Clinical Oncology, an official journal of the Chinese Anti-Cancer Association (CACA). As the editor-in-chief, I would like to express my appreciation to all the editors and editorial staff who have made tremendous effort in giving birth to this new journal. I would also

  7. Classification of Spreadsheet Errors

    OpenAIRE

    Rajalingham, Kamalasen; Chadwick, David R.; Knight, Brian

    2008-01-01

    This paper describes a framework for a systematic classification of spreadsheet errors. This classification or taxonomy of errors is aimed at facilitating analysis and comprehension of the different types of spreadsheet errors. The taxonomy is an outcome of an investigation of the widespread problem of spreadsheet errors and an analysis of specific types of these errors. This paper contains a description of the various elements and categories of the classification and is supported by appropri...

  8. Study Points to Genetic Subtypes of Esophageal Cancer

    Science.gov (United States)

    A Cancer Currents blog post about a study by The Cancer Genome Atlas Research Network that identified distinct genetic and molecular changes in esophageal cancers that could improve their classification and identify potential new treatments.

  9. Classification of Sensitivity or Resistance of Cervical Cancers to Ionizing Radiation According to Expression Profiles of 62 Genes Selected by cDNA Microarray Analysis

    Directory of Open Access Journals (Sweden)

    Osamu Kitahara

    2002-01-01

    Full Text Available To identify a set of genes related to radiosensitivity of cervical squamous cell carcinomas and to establish a predictive method, we compared expression profiles of 9 radiosensitive and 10 radioresistant tumors obtained by biopsy before treatment, on a cDNA microarray consisting of 23,040 human genes. We identified 121 genes whose expression was significantly greater in radiosensitive cells than in radioresistant cells, and 50 genes that showed higher levels of expression in radioresistant cells than in radiosensitive cells. Some of these genes had already known to be associated with the radiation response, such as aldehyde dehydrogenase 1 (ALDH1 and X-ray repair cross-complementing 5 (XRCC5 (P<.05, Mann-Whitney test. The validity of the total of 171 genes as radiosensitivity related genes were certified by permutation test (P<.05. Furthermore, we selected 62 genes on the basis of a clustering analysis, and confirmed the validity of these genes with cross-validation test. The cross-validation test also indicates the possibility of making prediction of radiosensitivity for discriminating radiation-sensitive from radiation resistant biopsy samples by predicting score (PS values calculated from expression values of 62 genes in 19 samples, because the prediction successfully and unequivocally discriminated the radiosensitive phenotype from the radioresistant phenotype in our test panel of 19 cervical carcinomas. The extensive list of genes identified in these experiments provides a large body of potentially valuable information for studying the mechanism(s of radiosensitivity, and selected 62 genes opens the possibility of providing appropriate and effective radiotherapy to cancer patients.

  10. Hydropedological insights when considering catchment classification

    Directory of Open Access Journals (Sweden)

    J. Bouma

    2011-06-01

    Full Text Available Soil classification systems are analysed to explore the potential of developing classification systems for catchments. Soil classifications are useful to create systematic order in the overwhelming quantity of different soils in the world and to extrapolate data available for a given soil type to soils elsewhere with identical classifications. This principle also applies to catchments. However, to be useful, soil classifications have to be based on permanent characteristics as formed by the soil forming factors over often very long periods of time. When defining permanent catchment characteristics, discharge data would therefore appear to be less suitable. But permanent soil characteristics do not necessarily match with characteristics and parameters needed for functional soil characterization focusing, for example, on catchment hydrology. Hydropedology has made contributions towards the required functional characterization of soils as is illustrated for three recent hydrological catchment studies. However, much still needs to be learned about the physical behaviour of anisotropic, heterogeneous soils with varying soil structures during the year and about spatial and temporal variability. The suggestion is made therefore to first focus on improving simulation of catchment hydrology, possibly incorporating hydropedological expertise, before embarking on a catchment classification effort which involves major input of time and involves the risk of distraction. In doing so, we suggest to also define other characteristics for catchment performance than the traditionally measured discharge rates. Such characteristics may well be derived from societal issues being studied, as is illustrated for the Green Water Credits program.

  11. Classification-based comparison of pre-processing methods for interpretation of mass spectrometry generated clinical datasets

    Directory of Open Access Journals (Sweden)

    Hoefsloot Huub CJ

    2009-05-01

    Full Text Available Abstract Background Mass spectrometry is increasingly being used to discover proteins or protein profiles associated with disease. Experimental design of mass-spectrometry studies has come under close scrutiny and the importance of strict protocols for sample collection is now understood. However, the question of how best to process the large quantities of data generated is still unanswered. Main challenges for the analysis are the choice of proper pre-processing and classification methods. While these two issues have been investigated in isolation, we propose to use the classification of patient samples as a clinically relevant benchmark for the evaluation of pre-processing methods. Results Two in-house generated clinical SELDI-TOF MS datasets are used in this study as an example of high throughput mass-spectrometry data. We perform a systematic comparison of two commonly used pre-processing methods as implemented in Ciphergen ProteinChip Software and in the Cromwell package. With respect to reproducibility, Ciphergen and Cromwell pre-processing are largely comparable. We find that the overlap between peaks detected by either Ciphergen ProteinChip Software or Cromwell is large. This is especially the case for the more stringent peak detection settings. Moreover, similarity of the estimated intensities between matched peaks is high. We evaluate the pre-processing methods using five different classification methods. Classification is done in a double cross-validation protocol using repeated random sampling to obtain an unbiased estimate of classification accuracy. No pre-processing method significantly outperforms the other for all peak detection settings evaluated. Conclusion We use classification of patient samples as a clinically relevant benchmark for the evaluation of pre-processing methods. Both pre-processing methods lead to similar classification results on an ovarian cancer and a Gaucher disease dataset. However, the settings for pre

  12. Concepts of Classification and Taxonomy. Phylogenetic Classification

    CERN Document Server

    Fraix-Burnet, Didier

    2016-01-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works. 1 Why phylogenetic tools in astrophysics? 1.1 History of classification The need for classifying living organisms is very ancient, and the first classification system can be dated back to the Greeks. The goal was very practical since it was intended to distinguish between eatable and toxic aliments, or kind and dangerous animals. Simple resemblance was used and has been used for centuries. Basically, until the XVIIIth...

  13. Image Classification through integrated K- Means Algorithm

    Directory of Open Access Journals (Sweden)

    Balasubramanian Subbiah

    2012-03-01

    Full Text Available Image Classification has a significant role in the field of medical diagnosis as well as mining analysis and is even used for cancer diagnosis in the recent years. Clustering analysis is a valuable and useful tool for image classification and object diagnosis. A variety of clustering algorithms are available and still this is a topic of interest in the image processing field. However, these clustering algorithms are confronted with difficulties in meeting the optimum quality requirements, automation and robustness requirements. In this paper, we propose two clustering algorithm combinations with integration of K-Means algorithm that can tackle some of these problems. Comparison study is made between these two novel combination algorithms. The experimental results demonstrate that the proposed algorithms are very effective in producing desired clusters of the given data sets as well as diagnosis. These algorithms are very much useful for image classification as well as extraction of objects.

  14. Rastreamento do câncer de mama: aspectos relacionados ao médico Breast cancer screening: physicians related issues.

    Directory of Open Access Journals (Sweden)

    Eduardo Rodrigues Godinho

    2004-04-01

    Full Text Available OBJETIVO: Reconhecer as características dos médicos do Estado de Goiás, suas condutas, crenças, opiniões e conhecimentos sobre câncer de mama. MATERIAIS E MÉTODOS: Foram enviados 592 questionários aos ginecologistas, mastologistas e geriatras de Goiás. Os principais aspectos pesquisados foram: 1 - características sócio-demográficas (sexo, idade, ano de formatura, atuação em serviços públicos ou particulares; 2 - capacidade de reconhecimento dos fatores de risco para câncer de mama; 3 - atividades educativas desenvolvidas pelos médicos; 4 - percepção de elementos limitadores ao rastreamento; 5 - perguntas genéricas. RESULTADOS: Os questionários respondidos totalizaram 105 (21,2%; 70,5% dos médicos eram do sexo masculino; idade média de 43,9 anos (26 a 70 anos; 73,5% tinham menos de 20 anos de formado; 88,6% ginecologistas, 4,8% ginecologistas/mastologistas, 3,8% mastologistas, 2,8% geriatras; 62,5% atuavam na rede pública e particular simultaneamente. Apenas 13,3% identificaram os cinco fatores de risco apresentados. Cerca de 95% responderam ter participado de cursos de atualização nos dois anos que antecederam a pesquisa. Outros resultados serão apresentados. CONCLUSÕES: As recomendações sobre rastreamento do câncer de mama pareceram pouco claras aos médicos. As respostas sobre atividades educativas mostraram-se algumas vezes conflitantes. As crenças e opiniões sobre rastreamento foram bastante positivas. Escassez de equipamentos e custo do exame foram identificados como obstáculos ao rastreamento do câncer de mama.OBJECTIVE: To identify the characteristics of physicians in the State of Goiás, Brazil, regarding patient management, beliefs, opinions and knowledge about breast cancer. MATERIALS END METHODS: A total of 592 questionnaires were mailed to gynecologists, mastologists and geriatricians. The survey covered the following main aspects: 1 - socio-demographic characteristics (sex, age, year of graduation

  15. 年轻乳腺癌患者治疗后生育相关问题进展%Advances in fertility - related issues of young women with breast cancer after treatment

    Institute of Scientific and Technical Information of China (English)

    封伟亮; 杨红健

    2016-01-01

    近年来年轻乳腺癌的发病人数逐年上升,很多女性患者在确诊为乳腺癌时还未生育或者仍有生育愿望。随着现代医学的进步和多学科治疗的规范,乳腺癌患者的生存期越来越长,但乳腺癌综合治疗带来的副作用对生活质量的影响也越来越大,尤其是对那些年轻乳腺癌患者更为明显,她们更渴望回归正常的生活,渴望怀孕成为母亲。长期以来,由于害怕妊娠会对乳腺癌预后造成危害,医患双方均对乳腺癌治疗后的妊娠存在诸多疑虑而不敢付诸实践。本综述基于已有的循证医学证据,从多方面证实乳腺癌治疗后妊娠是可行的、安全的、值得关注的,希望为以后的临床实践提供参考。%Breast cancer is one of the most prevalent cancers in women in our country. Young women with breast cancer have distinct concerns and issues compared with older women,including queries regarding fertility and preg-nancy. For a long period of there is a persistent belief that a pregnancy after breast cancer may increase the risk of cancer recurrence,these uncertainties have contributed to both physicians and patients against pregnancy. This review encompasses an overview of the current existing evidence,confirm the pregnancy after breast cancer treatment is feasi-ble,safe hope to provide a reference for future clinical practice.

  16. Medical Image Feature, Extraction, Selection And Classification

    Directory of Open Access Journals (Sweden)

    M.VASANTHA,

    2010-06-01

    Full Text Available Breast cancer is the most common type of cancer found in women. It is the most frequent form of cancer and one in 22 women in India is likely to suffer from breast cancer. This paper proposes a image classifier to classify the mammogram images. Mammogram image is classified into normal image, benign image and malignant image. Totally 26 features including histogram intensity features and GLCM features are extracted from mammogram image. A hybrid approach of feature selection is proposed in this paper which reduces 75% of the features. Decision tree algorithms are applied to mammography lassification by using these reduced features. Experimental results have been obtained for a data set of 113 images taken from MIAS of different types. This technique of classification has not been attempted before and it reveals the potential of Data mining in medical treatment.

  17. Classification and Regression Tree Analysis of Clinical Patterns that Predict Survival in 127 Chinese Patients with Advanced Non-small Cell Lung Cancer Treated by Gefitinib Who Failed to Previous Chemotherapy

    Directory of Open Access Journals (Sweden)

    Ziping WANG

    2011-09-01

    Full Text Available Background and objective It has been proven that gefitinib produces only 10%-20% tumor regression in heavily pretreated, unselected non-small cell lung cancer (NSCLC patients as the second- and third-line setting. Asian, female, nonsmokers and adenocarcinoma are favorable factors; however, it is difficult to find a patient satisfying all the above clinical characteristics. The aim of this study is to identify novel predicting factors, and to explore the interactions between clinical variables and their impact on the survival of Chinese patients with advanced NSCLC who were heavily treated with gefitinib in the second- or third-line setting. Methods The clinical and follow-up data of 127 advanced NSCLC patients referred to the Cancer Hospital & Institute, Chinese Academy of Medical Sciences from March 2005 to March 2010 were analyzed. Multivariate analysis of progression-free survival (PFS was performed using recursive partitioning, which is referred to as the classification and regression tree (CART analysis. Results The median PFS of 127 eligible consecutive advanced NSCLC patients was 8.0 months (95%CI: 5.8-10.2. CART was performed with an initial split on first-line chemotherapy outcomes and a second split on patients’ age. Three terminal subgroups were formed. The median PFS of the three subsets ranged from 1.0 month (95%CI: 0.8-1.2 for those with progressive disease outcome after the first-line chemotherapy subgroup, 10 months (95%CI: 7.0-13.0 in patients with a partial response or stable disease in first-line chemotherapy and age <70, and 22.0 months for patients obtaining a partial response or stable disease in first-line chemotherapy at age 70-81 (95%CI: 3.8-40.1. Conclusion Partial response, stable disease in first-line chemotherapy and age ≥ 70 are closely correlated with long-term survival treated by gefitinib as a second- or third-line setting in advanced NSCLC. CART can be used to identify previously unappreciated patient

  18. Multiple sparse representations classification

    NARCIS (Netherlands)

    E. Plenge (Esben); S.K. Klein (Stefan); W.J. Niessen (Wiro); E. Meijering (Erik)

    2015-01-01

    textabstractSparse representations classification (SRC) is a powerful technique for pixelwise classification of images and it is increasingly being used for a wide variety of image analysis tasks. The method uses sparse representation and learned redundant dictionaries to classify image pixels. In t

  19. Library Classification 2020

    Science.gov (United States)

    Harris, Christopher

    2013-01-01

    In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

  20. Screening for Ovarian Cancer

    Science.gov (United States)

    Understanding Task Force Recommendations Screening for Ovarian Cancer The U.S. Preventive Services Task Force (Task Force) has issued a final recommendation on Screening for Ovarian Cancer . This recommendation is for ...

  1. Ethical, Social and Economic Issues in Familial Breast Cancer: A Compilation of Views from the E.C. Biomed II Demonstration Project

    Directory of Open Access Journals (Sweden)

    Michael Steel

    1999-01-01

    Full Text Available Demand for clinical services for familial breast cancer is continuing to rise across Europe. Service provision is far from uniform and, in most centres, its evolution has been determined by local conditions, specifically by local research interests, rather than by central planning. However, in a number of countries there is evidence of progress towards co-ordinated development and audit of clinics providing risk assessment, counselling, screening and, in some cases, prophylactic intervention. Much important information should emerge from continued observation and comparative assessment of these developments.

  2. Classifier in Age classification

    Directory of Open Access Journals (Sweden)

    B. Santhi

    2012-12-01

    Full Text Available Face is the important feature of the human beings. We can derive various properties of a human by analyzing the face. The objective of the study is to design a classifier for age using facial images. Age classification is essential in many applications like crime detection, employment and face detection. The proposed algorithm contains four phases: preprocessing, feature extraction, feature selection and classification. The classification employs two class labels namely child and Old. This study addresses the limitations in the existing classifiers, as it uses the Grey Level Co-occurrence Matrix (GLCM for feature extraction and Support Vector Machine (SVM for classification. This improves the accuracy of the classification as it outperforms the existing methods.

  3. To treat or not to treat with testosterone replacement therapy: a contemporary review of management of late-onset hypogonadism and critical issues related to prostate cancer.

    Science.gov (United States)

    Kava, Bruce R

    2014-07-01

    Over the last 10 years there has been a dramatic increase in the number of patients identified and treated with testosterone replacement therapy (TRT) for late-onset hypogonadism (LOH). By virtue of age, race, and family history, many of these patients are concurrently at risk for harboring indolent prostate cancer. Other men are at increased risk for prostate cancer as a result of an elevated serum PSA level or having had a prior prostate biopsy showing prostatic intraepithelial neoplasia (PIN) or atypical small acinar proliferation (ASAP). The clinician is often challenged with the decision whether to initiate TRT in these patients. This review presents a contemporary overview of the rationale for TRT, as well as the relationship between testosterone (endogenous and exogenous) and premalignant and malignant lesions of the prostate. We will discuss preliminary data from several recent series demonstrating that TRT may be safely administered in select patients with certain premalignant and bona fide malignant tumors of the prostate. In the absence of a large randomized clinical trial with long-term outcome data evaluating TRT, we hope that this overview will provide clinicians with an evidence-based approach to managing these anxiety-provoking - and often frustrating - clinical scenarios.

  4. Kappa Coefficients for Circular Classifications

    NARCIS (Netherlands)

    Warrens, Matthijs J.; Pratiwi, Bunga C.

    2016-01-01

    Circular classifications are classification scales with categories that exhibit a certain periodicity. Since linear scales have endpoints, the standard weighted kappas used for linear scales are not appropriate for analyzing agreement between two circular classifications. A family of kappa coefficie

  5. Global change and climate-vegetation classification

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Three phrases of the quantitative study of climate-vegetation classification and their characteristics are presented based on the review of advance in climate-vegetation interaction, a key issue of "global change and terrestrial ecosystems (GCTE)" which is the core project of International Geosphere-Biosphere Programme (IGBP): (ⅰ) characterized by the correlation between natural vegetation types and climate; (ⅱ) characterized by climatic indices which have obviously been restricted to plant ecophysiology; (ⅲ) characterized by coupling both structure and function of vegetation. Thus, the prospective of climate-vegetation classification for global change study in China was proposed, especially the study coupling climate-vegetation classification models with atmospheric general circulation models (GCMs) was emphasized.

  6. Japanese Society for Cancer of the Colon and Rectum (JSCCR) Guidelines 2014 for treatment of colorectal cancer.

    Science.gov (United States)

    Watanabe, Toshiaki; Itabashi, Michio; Shimada, Yasuhiro; Tanaka, Shinji; Ito, Yoshinori; Ajioka, Yoichi; Hamaguchi, Tetsuya; Hyodo, Ichinosuke; Igarashi, Masahiro; Ishida, Hideyuki; Ishihara, Soichiro; Ishiguro, Megumi; Kanemitsu, Yukihide; Kokudo, Norihiro; Muro, Kei; Ochiai, Atsushi; Oguchi, Masahiko; Ohkura, Yasuo; Saito, Yutaka; Sakai, Yoshiharu; Ueno, Hideki; Yoshino, Takayuki; Boku, Narikazu; Fujimori, Takahiro; Koinuma, Nobuo; Morita, Takayuki; Nishimura, Genichi; Sakata, Yuh; Takahashi, Keiichi; Tsuruta, Osamu; Yamaguchi, Toshiharu; Yoshida, Masahiro; Yamaguchi, Naohiko; Kotake, Kenjiro; Sugihara, Kenichi

    2015-04-01

    Colorectal cancer is a major cause of death in Japan, where it accounts for the largest number of deaths from malignant neoplasms among women and the third largest number among men. Many new methods of treatment have been developed during recent decades. The Japanese Society for Cancer of the Colon and Rectum Guidelines 2014 for treatment of colorectal cancer (JSCCR Guidelines 2014) have been prepared as standard treatment strategies for colorectal cancer, to eliminate treatment disparities among institutions, to eliminate unnecessary treatment and insufficient treatment, and to deepen mutual understanding among health-care professionals and patients by making these guidelines available to the general public. These guidelines have been prepared as a result of consensuses reached by the JSCCR Guideline Committee on the basis of careful review of evidence retrieved by literature searches and taking into consideration the medical health insurance system and actual clinical practice in Japan. They can, therefore, be used as a guide for treating colorectal cancer in clinical practice. More specifically, they can be used as a guide to obtaining informed consent from patients and choosing the method of treatment for each patient. As a result of the discussions of the Guideline Committee, controversial issues were selected as clinical questions, and recommendations were made. Each recommendation is accompanied by a classification of the evidence and a classification of recommendation categories, on the basis of consensus reached by Guideline Committee members. Here we present the English version of the JSCCR Guidelines 2014.

  7. Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2010 for the treatment of colorectal cancer.

    Science.gov (United States)

    Watanabe, Toshiaki; Itabashi, Michio; Shimada, Yasuhiro; Tanaka, Shinji; Ito, Yoshinori; Ajioka, Yoichi; Hamaguchi, Tetsuya; Hyodo, Ichinosuke; Igarashi, Masahiro; Ishida, Hideyuki; Ishiguro, Megumi; Kanemitsu, Yukihide; Kokudo, Norihiro; Muro, Kei; Ochiai, Atsushi; Oguchi, Masahiko; Ohkura, Yasuo; Saito, Yutaka; Sakai, Yoshiharu; Ueno, Hideki; Yoshino, Takayuki; Fujimori, Takahiro; Koinuma, Nobuo; Morita, Takayuki; Nishimura, Genichi; Sakata, Yuh; Takahashi, Keiichi; Takiuchi, Hiroya; Tsuruta, Osamu; Yamaguchi, Toshiharu; Yoshida, Masahiro; Yamaguchi, Naohiko; Kotake, Kenjiro; Sugihara, Kenichi

    2012-02-01

    Colorectal cancer is a major cause of death in Japan, where it accounts for the largest number of deaths from malignant neoplasms in women and the third largest number in men. Many new treatment methods have been developed over the last few decades. The Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2010 for the treatment of colorectal cancer (JSCCR Guidelines 2010) have been prepared to show standard treatment strategies for colorectal cancer, to eliminate disparities among institutions in terms of treatment, to eliminate unnecessary treatment and insufficient treatment, and to deepen mutual understanding between health-care professionals and patients by making these Guidelines available to the general public. These Guidelines have been prepared by consensuses reached by the JSCCR Guideline Committee, based on a careful review of the evidence retrieved by literature searches and in view of the medical health insurance system and actual clinical practice settings in Japan. Therefore, these Guidelines can be used as a tool for treating colorectal cancer in actual clinical practice settings. More specifically, they can be used as a guide to obtaining informed consent from patients and choosing the method of treatment for each patient. As a result of the discussions held by the Guideline Committee, controversial issues were selected as Clinical Questions, and recommendations were made. Each recommendation is accompanied by a classification of the evidence and a classification of recommendation categories based on the consensus reached by the Guideline Committee members. Here we present the English version of the JSCCR Guidelines 2010.

  8. IJIMAI Editor's Note - Vol. 3 Issue 7

    Directory of Open Access Journals (Sweden)

    Oscar Sanjuan-Martinez

    2016-06-01

    Full Text Available The research works presented in this issue are based on various topics of interest, among which are included: SVM and ANN Based Classification, Security in Android, Semantic Data, Planning and Software Agents, Mission Planning, Clustering in Text Mining, Mobile Networks, Weather Radars, Human Activity Recognition, LIF Neurons and DDF, Theft Prevention, Constraint Programming, Measuring Meditations Effects, Neural Networks and Deep Learning.

  9. Prognostic significance of the 2004 WHO classification compared with the 1973 WHO classification for organ-confined invasive bladder cancer%2004年和1973年世界卫生组织肿瘤分级预测局限浸润性膀胱癌复发价值的比较

    Institute of Scientific and Technical Information of China (English)

    钟明珠; 郭胜杰; 蒋丽娟; 云径平; 周芳坚

    2013-01-01

    Objective To compare the 2004 and 1973 WHO classifications for predicting tumor recurrence for organ-confined (T stage ≤ pT2b) invasive urothelial carcinoma of the bladder treated with radical cystectomy.Methods From February 2000 to August 2011,the 173 consecutive cases of organconfined invasive urothelial carcinoma of the bladder were treated with radical cystectomy.The data of clinical and follow-up information was collected.The KapIan-Meier plots with Log-rank test were used to estimate recurrence-free survival (RFS).Univariate and multivariate analysis using the Cox proportional hazard regression model were performed to evaluate the impact of any clinicopathological prognostic factors (tumor grade,tumor stage,lymph node status,lymphovascular invasion,preoperative hydronephrosis,and non-pure urothelial carcinoma) on RFS.Results The 5-year RFS was 84.7% for the entire cohort.Univariate and multivariate analysis demonstrated that when using the 2004 WHO classification,lymph node status (RR =4.573,95% CI:1.469-14.237),tumor grade (RR =9.993,95% CI:1.325-75.390) and preoperative hydronephrosis (RR =3.207,95% CI:1.209-8.508) presented independent predictors for RFS; while using the 1973 WHO system,lymph node status (RR =9.484,95% CI:3.450-26.074) and lymphovascular invasion (RR =3.009,95% CI:1.062-8.526) were independent predictors.Conclusions The 2004 WHO classification,as an independent factor,is superior to the 1973 classification for predicting RFS in patients with organ-confined invasive bladder cancer treated with radical cystectomy.However,a further perspective study is needed to validate its role in prognosis.%目的 比较2004年和1973年WHO肿瘤分级预测局限浸润性(T分期≤pT2b)膀胱尿路上皮癌行根治性膀胱切除术后肿瘤复发概率的价值.方法 回顾分析2000年2月至2011年8月具有完善随访结果的173例局限浸润性膀胱尿路上皮癌患者的临床及随访资料.采用Kaplan-Meier法和Log-rank

  10. Risk of prostate cancer among cancer survivors in the Netherlands

    NARCIS (Netherlands)

    Kok, D.E.; Schans, S.A. van de; Liu, L.; Kampman, E.; Coebergh, J.W.W.; Kiemeney, L.A.L.M.; Soerjomataram, I.; Aben, K.K.H.

    2013-01-01

    BACKGROUND: In parallel with increasing numbers of cancer patients and improving cancer survival, the occurrence of second primary cancers becomes a relevant issue. The aim of our study was to evaluate risk of prostate cancer as second primary cancer in a population-based setting. METHODS: Data from

  11. Risk of prostate cancer among cancer survivors in the Netherlands

    NARCIS (Netherlands)

    Kok, D.E.G.; Schans, van de S.A.; Liu, L.; Kampman, E.; Coebergh, J.W.; Kiemeney, L.A.; Soerjomataram, I.; Aben, K.K.

    2013-01-01

    In parallel with increasing numbers of cancer patients and improving cancer survival, the occurrence of second primary cancers becomes a relevant issue. The aim of our study was to evaluate risk of prostate cancer as second primary cancer in a population-based setting. Methods Data from the Netherla

  12. 国际泌尿病理协会Gleason评分系统对前列腺癌分级的影响%International Association of Urology Pathological Gleason score system's In-fluence on the Classification of Prostate Cancer

    Institute of Scientific and Technical Information of China (English)

    程涛; 沈红; 邱学芳

    2016-01-01

    Objective To investigate the 2005 national urological association of pathology (ISUP) Gleason score (GS) impact on prostate cancer classification. Methods Convenient choice in December 2007 to December 2015 in hospital for treatment of 43 patients with transurethral resection of prostate cancer, and use the ISUP version of the GS system for revision accord-ing to the 1977 GS score before to re-mark, transurethral resection of prostate cancer, comparing the difference between the two versions of GS. Results In the revision is given priority to with Gleason 3 level, 55.7% Gleason 3 level was 51.1%, the proportion of secondary structure is given priority to with Gleason 4 level, 34.9% in Gleason 4 level is the proportion of the secondary structure is 37.2%. ISUP version is given priority to with Gleason 3 level, 46.4% in Gleason 3 level was 46.4%, the proportion of secondary structure is given priority to with Gleason 4 level, 44.2% in Gleason 4 level is the proportion of the secondary structure is 41.9%. Conclusion ISUP Gleason 3 level significantly lower proportion of edition, proportion of Gleason 4 level rises apparently.%目的:探讨2005年国家泌尿病理协会(ISUP)Gleason评分系统(GS)对前列腺癌分级的影响。方法方便选择在2007年12月-2015年12月进入医院进行治疗的经尿道切除的前列腺癌患者43例,并且使用ISUP版GS系统对以前按照1977年GS修订版评分对经尿道切除的前列腺癌重新评分,比较2个版本GS的差异。结果修订版中以 Gleason 3级为主的比例为55.7%,Gleason 3级为次要结构的比例为51.1%,以Gleason 4级为主的比例为34.9%,以Gleason 4级为次要结构的比例为37.2%。 ISUP版中以Gleason 3级为主的比例为46.4%,以Gleason 3级为次要结构的比例为46.4%,以Gleason 4级为主的比例为44.2%,以Gleason 4级为次要结构的比例为41.9%。结论ISUP版中Gleason 3级所占比例明显下降,Gleason 4级所占比例明显上升。

  13. Structure and context in prostatic gland segmentation and classification.

    Science.gov (United States)

    Nguyen, Kien; Sarkar, Anindya; Jain, Anil K

    2012-01-01

    A novel gland segmentation and classification scheme applied to an H&E histology image of the prostate tissue is proposed. For gland segmentation, we associate appropriate nuclei objects with each lumen object to create a gland segment. We further extract 22 features to describe the structural information and contextual information for each segment. These features are used to classify a gland segment into one of the three classes: artifact, normal gland and cancer gland. On a dataset of 48 images at 5x magnification (which includes 525 artifacts, 931 normal glands and 1,375 cancer glands), we achieved the following classification accuracies: 93% for artifacts v. true glands; 79% for normal v. cancer glands, and 77% for discriminating all three classes. The proposed method outperforms state of the art methods in terms of segmentation and classification accuracies and computational efficiency.

  14. Semantic Annotation to Support Automatic Taxonomy Classification

    DEFF Research Database (Denmark)

    Kim, Sanghee; Ahmed, Saeema; Wallace, Ken

    2006-01-01

    , the annotations identify which parts of a text are more important for understanding its contents. The extraction of salient sentences is a major issue in text summarisation. Commonly used methods are based on statistical analysis, but for subject-matter type texts, linguistically motivated natural language...... processing techniques, like semantic annotations, are preferred. An experiment to test the method using 140 documents collected from industry demonstrated that classification accuracy can be improved by up to 16%....

  15. 78 FR 54970 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-09-09

    ... process in March 2012 (77 FR 5379). When verified by a futures classification, Smith-Doxey data serves as... Classification: Optional Classification Procedure AGENCY: Agricultural Marketing Service, USDA. ACTION: Proposed... for the addition of an optional cotton futures classification procedure--identified and known...

  16. Compensatory neurofuzzy model for discrete data classification in biomedical

    Science.gov (United States)

    Ceylan, Rahime

    2015-03-01

    Biomedical data is separated to two main sections: signals and discrete data. So, studies in this area are about biomedical signal classification or biomedical discrete data classification. There are artificial intelligence models which are relevant to classification of ECG, EMG or EEG signals. In same way, in literature, many models exist for classification of discrete data taken as value of samples which can be results of blood analysis or biopsy in medical process. Each algorithm could not achieve high accuracy rate on classification of signal and discrete data. In this study, compensatory neurofuzzy network model is presented for classification of discrete data in biomedical pattern recognition area. The compensatory neurofuzzy network has a hybrid and binary classifier. In this system, the parameters of fuzzy systems are updated by backpropagation algorithm. The realized classifier model is conducted to two benchmark datasets (Wisconsin Breast Cancer dataset and Pima Indian Diabetes dataset). Experimental studies show that compensatory neurofuzzy network model achieved 96.11% accuracy rate in classification of breast cancer dataset and 69.08% accuracy rate was obtained in experiments made on diabetes dataset with only 10 iterations.

  17. Update on diabetes classification.

    Science.gov (United States)

    Thomas, Celeste C; Philipson, Louis H

    2015-01-01

    This article highlights the difficulties in creating a definitive classification of diabetes mellitus in the absence of a complete understanding of the pathogenesis of the major forms. This brief review shows the evolving nature of the classification of diabetes mellitus. No classification scheme is ideal, and all have some overlap and inconsistencies. The only diabetes in which it is possible to accurately diagnose by DNA sequencing, monogenic diabetes, remains undiagnosed in more than 90% of the individuals who have diabetes caused by one of the known gene mutations. The point of classification, or taxonomy, of disease, should be to give insight into both pathogenesis and treatment. It remains a source of frustration that all schemes of diabetes mellitus continue to fall short of this goal.

  18. Learning Apache Mahout classification

    CERN Document Server

    Gupta, Ashish

    2015-01-01

    If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.

  19. Pitch Based Sound Classification

    DEFF Research Database (Denmark)

    Nielsen, Andreas Brinch; Hansen, Lars Kai; Kjems, U

    2006-01-01

    A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft......-max output function. Both linear and quadratic inputs are used. The model is trained on 2 hours of sound and tested on publicly available data. A test classification error below 0.05 with 1 s classification windows is achieved. Further more it is shown that linear input performs as well as a quadratic......, and that even though classification gets marginally better, not much is achieved by increasing the window size beyond 1 s....

  20. Completion of the classification

    CERN Document Server

    Strade, Helmut

    2012-01-01

    This is the last of three volumes about ""Simple Lie Algebras over Fields of Positive Characteristic""by Helmut Strade, presenting the state of the art of the structure and classification of Lie algebras over fields of positive characteristic. In this monograph the proof of the Classification Theorem presented in the first volumeis concluded.Itcollects all the important results on the topic whichcan be found only in scatteredscientific literaturso far.

  1. Twitter content classification

    OpenAIRE

    2010-01-01

    This paper delivers a new Twitter content classification framework based sixteen existing Twitter studies and a grounded theory analysis of a personal Twitter history. It expands the existing understanding of Twitter as a multifunction tool for personal, profession, commercial and phatic communications with a split level classification scheme that offers broad categorization and specific sub categories for deeper insight into the real world application of the service.

  2. Expected Classification Accuracy

    Directory of Open Access Journals (Sweden)

    Lawrence M. Rudner

    2005-08-01

    Full Text Available Every time we make a classification based on a test score, we should expect some number..of misclassifications. Some examinees whose true ability is within a score range will have..observed scores outside of that range. A procedure for providing a classification table of..true and expected scores is developed for polytomously scored items under item response..theory and applied to state assessment data. A simplified procedure for estimating the..table entries is also presented.

  3. In vivo models for cancer stem cell research: a practical guide for frequently used animal models and available biomarkers.

    Science.gov (United States)

    Skidan, I; Steiniger, S C J

    2014-04-01

    The identification of a rare population of cancer stem cells whose presence in tumors is believed to determine their growth and metastatic activity, has provided a novel approach for targeted anti-cancer therapy. At the in vivo stage of the development of new therapeutic approaches for killing cancer stem cells, the most significant issues are the appropriate choice of rational animal models that offer the option to select animal species, strains and substrains, essential techniques for the inoculation of tumors, and methods of tumor detection in animals. The identification and validation of various types of cancer stem cell markers, which could serve as potential marker(s) of therapeutic efficacy of applied drugs, is a considerable challenge. The aim of this review is to provide a guide for the in vivo study of novel therapeutics that target cancer stem cells. This review describes frequently used mouse solid tumor models and evaluates their usefulness for cancer stem cell research. The classification of existing compounds that are used in today's experimental anti-cancer stem cell therapy and examples of exploratory first-in-human studies using these compounds for selective elimination of cancer stem cells will also be discussed. Finally, this review will examine the current status of available cancer stem cell markers, and highlight several important cancer stem cell properties that are still not well understood, but could influence the anti-cancer drug development process.

  4. Diagnostic and therapeutic issues for patients with advanced non‑small cell lung cancer harboring anaplastic lymphoma kinase rearrangement: European vs. US perspective (review).

    Science.gov (United States)

    Di Maio, Massimo; De Marinis, Filippo; Hirsch, Fred R; Gridelli, Cesare

    2014-08-01

    The recent availability of crizotinib in clinical practice, for the treatment of patients with advanced non-small cell lung cancer (NSCLC) selected by the presence of anaplastic lymphoma kinase (ALK) rearrangement, has relevant implications for both the diagnostic phase and the treatment choices. In the United States, crizotinib was approved by the Food and Drug Administration (FDA) in 2011 for patients with ALK positivity detected by FDA-approved companion diagnostic test. As of January, 2014, the only FDA-approved diagnostic test is Vysis ALK Break-Apart FISH Probe Kit. In Europe, European Medicines Agency (EMA) approved crizotinib for ALK-positive patients in 2012, without specifying the type of test used for determining the positivity. FISH remains the reference technique for ALK determination, but, if fully validated, immunohistochemistry could challenge the current ALK screening practice. Given the robust evidence of activity of crizotinib in ALK-positive patients both pretreated and chemotherapy-naïve, and the favourable tolerability profile of the drug, many oncologists would prefer to administer the drug as early as possible. This is technically feasible in the United States, where crizotinib was approved well before the availability of the results of the randomized phase III trial comparing the drug with standard second-line chemotherapy, and the use of crizotinib in ALK-positive patients is not restricted to a specific line of treatment. On the contrary, in Europe, differently from the FDA decision, crizotinib cannot be used in chemotherapy-naïve patients. In both realities, a deeper knowledge of mechanisms of resistance, the role of repeated biopsies, the treatment strategy for patients experiencing disease progression with crizotinib, the choice of the best chemotherapy regimen are challenging topics for the management of ALK-positive patients in clinical practice.

  5. Key Issues of Clinical Management for Occult Breast Cancer%隐匿型乳腺癌的临床诊治要点

    Institute of Scientific and Technical Information of China (English)

    张斌; 孟然; 赵洪猛; 曹旭晨

    2010-01-01

    隐匿型乳腺癌(Occull breast cancer,OBC)是以腋窝淋巴结转移癌为主要表现的一种少见的乳腺癌表现.对于这类患者应当进行完善的术前检查,不仅需要包括标准的双侧乳腺摄影片,还要通过超声和核磁共振评估双侧乳腺和腋窝淋巴结,以寻找原发病灶.由于此类患者具有较高的局部复发风险,因此不推荐单纯对乳腺进行观察,乳房局部治疗应包括全乳切除,也可以考虑保留乳房联合全乳放疗.同时也应进行腋窝淋巴结清扫以提高局部控制并且完善分期.此外,患者还可以接受新辅助或辅助全身治疗.虽然隐匿性乳腺癌伴腋窝转移患者的疾病分期为T0N1-2M0期,但比同期别原发性乳腺癌预后更好,腋窝淋巴结转移数目,尤其是小于4枚转移与4枚或以上转移相比仍然是最为可靠的预测结局的因素.

  6. Prostate cancer detection from model-free T1-weighted time series and diffusion imaging

    Science.gov (United States)

    Haq, Nandinee F.; Kozlowski, Piotr; Jones, Edward C.; Chang, Silvia D.; Goldenberg, S. Larry; Moradi, Mehdi

    2015-03-01

    The combination of Dynamic Contrast Enhanced (DCE) images with diffusion MRI has shown great potential in prostate cancer detection. The parameterization of DCE images to generate cancer markers is traditionally performed based on pharmacokinetic modeling. However, pharmacokinetic models make simplistic assumptions about the tissue perfusion process, require the knowledge of contrast agent concentration in a major artery, and the modeling process is sensitive to noise and fitting instabilities. We address this issue by extracting features directly from the DCE T1-weighted time course without modeling. In this work, we employed a set of data-driven features generated by mapping the DCE T1 time course to its principal component space, along with diffusion MRI features to detect prostate cancer. The optimal set of DCE features is extracted with sparse regularized regression through a Least Absolute Shrinkage and Selection Operator (LASSO) model. We show that when our proposed features are used within the multiparametric MRI protocol to replace the pharmacokinetic parameters, the area under ROC curve is 0.91 for peripheral zone classification and 0.87 for whole gland classification. We were able to correctly classify 32 out of 35 peripheral tumor areas identified in the data when the proposed features were used with support vector machine classification. The proposed feature set was used to generate cancer likelihood maps for the prostate gland.

  7. Trends and concepts in fern classification

    Science.gov (United States)

    Christenhusz, Maarten J. M.; Chase, Mark W.

    2014-01-01

    sister to all other vascular plants, whereas the whisk ferns (Psilotaceae), often included in the lycopods or believed to be associated with the first vascular plants, are sister to Ophioglossaceae and thus belong to the fern clade. The horsetails (Equisetaceae) are also members of the fern clade (sometimes inappropriately called ‘monilophytes’), but, within that clade, their placement is still uncertain. Leptosporangiate ferns are better understood, although deep relationships within this group are still unresolved. Earlier, almost all leptosporangiate ferns were placed in a single family (Polypodiaceae or Dennstaedtiaceae), but these families have been redefined to narrower more natural entities. Conclusions Concluding this paper, a classification is presented based on our current understanding of relationships of fern and lycopod clades. Major changes in our understanding of these families are highlighted, illustrating issues of classification in relation to convergent evolution and false homologies. Problems with the current classification and groups that still need study are pointed out. A summary phylogenetic tree is also presented. A new classification in which Aspleniaceae, Cyatheaceae, Polypodiaceae and Schizaeaceae are expanded in comparison with the most recent classifications is presented, which is a modification of those proposed by Smith et al. (2006, 2008) and Christenhusz et al. (2011). These classifications are now finding a wider acceptance and use, and even though a few amendments are made based on recently published results from molecular analyses, we have aimed for a stable family and generic classification of ferns. PMID:24532607

  8. Concepts of Classification and Taxonomy Phylogenetic Classification

    Science.gov (United States)

    Fraix-Burnet, D.

    2016-05-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works.

  9. Automated classification of parenchymal patterns in mammograms

    Energy Technology Data Exchange (ETDEWEB)

    Karssemeijer, N. [University Hospital Nijmegen, Department of Radiology, PO Box 9101, 6500 HB Nijmegen (Netherlands)

    1998-02-01

    A method for automated determination of parenchymal patterns in mammograms has been developed that is insensitive to changes in the mammographic imaging technique. The method was designed to study the relation between breast cancer risk and changes of mammographic density. It includes a new method for automatic segmentation of the pectoral muscle in oblique mammograms, based on application of the Hough transform. The technique developed for classification of parenchymal patterns is based on a distance transform that subdivides the breast tissue area into regions in which distance to the skin line is approximately equal. Features are calculated from grey level histograms computed in these regions. In this way, dependency on varying tissue thickness in the peripheral zone of the breast is minimized. Additional features represent differences between tissue projected in pectoral and breast area. Robustness and classification performance were studied on a test set of 615 digitized mammograms, applying a kNN classifier and leave-one-out for training. Using four density categories in 67% of the cases an exact agreement was obtained with a subjective classification made by a radiologist. The number of cases for which classifications of the radiologist and the program differed by more that one category was only 2%. For more recent mammograms, recorded after 1991, an exact agreement of 80% was obtained. (author)

  10. [Feature extraction for breast cancer data based on geometric algebra theory and feature selection using differential evolution].

    Science.gov (United States)

    Li, Jing; Hong, Wenxue

    2014-12-01

    The feature extraction and feature selection are the important issues in pattern recognition. Based on the geometric algebra representation of vector, a new feature extraction method using blade coefficient of geometric algebra was proposed in this study. At the same time, an improved differential evolution (DE) feature selection method was proposed to solve the elevated high dimension issue. The simple linear discriminant analysis was used as the classifier. The result of the 10-fold cross-validation (10 CV) classification of public breast cancer biomedical dataset was more than 96% and proved superior to that of the original features and traditional feature extraction method.

  11. Acoustic classification of dwellings

    DEFF Research Database (Denmark)

    Berardi, Umberto; Rasmussen, Birgit

    2014-01-01

    Schemes for the classification of dwellings according to different building performances have been proposed in the last years worldwide. The general idea behind these schemes relates to the positive impact a higher label, and thus a better performance, should have. In particular, focusing on soun...... exchanging experiences about constructions fulfilling different classes, reducing trade barriers, and finally increasing the sound insulation of dwellings.......Schemes for the classification of dwellings according to different building performances have been proposed in the last years worldwide. The general idea behind these schemes relates to the positive impact a higher label, and thus a better performance, should have. In particular, focusing on sound...... insulation performance, national schemes for sound classification of dwellings have been developed in several European countries. These schemes define acoustic classes according to different levels of sound insulation. Due to the lack of coordination among countries, a significant diversity in terms...

  12. Classification of hand eczema

    DEFF Research Database (Denmark)

    Agner, T; Aalto-Korte, K; Andersen, K E;

    2015-01-01

    BACKGROUND: Classification of hand eczema (HE) is mandatory in epidemiological and clinical studies, and also important in clinical work. OBJECTIVES: The aim was to test a recently proposed classification system of HE in clinical practice in a prospective multicentre study. METHODS: Patients were...... HE, protein contact dermatitis/contact urticaria, hyperkeratotic endogenous eczema and vesicular endogenous eczema, respectively. An additional diagnosis was given if symptoms indicated that factors additional to the main diagnosis were of importance for the disease. RESULTS: Four hundred and twenty......%) could not be classified. 38% had one additional diagnosis and 26% had two or more additional diagnoses. Eczema on feet was found in 30% of the patients, statistically significantly more frequently associated with hyperkeratotic and vesicular endogenous eczema. CONCLUSION: We find that the classification...

  13. Cellular image classification

    CERN Document Server

    Xu, Xiang; Lin, Feng

    2017-01-01

    This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods. Throughout the book, the authors provide evaluations for the proposed methods on two publicly available human epithelial (HEp-2) cell datasets: ICPR2012 dataset from the ICPR'12 HEp-2 cell classification contest and ICIP2013 training dataset from the ICIP'13 Competition on cells classification by fluorescent image analysis. First, the reading of imaging results is significantly influenced by one’s qualification and reading systems, causing high intra- and inter-laboratory variance. The authors present a low-order LP21 fiber mode for optical single cell manipulation and imaging staining patterns of HEp-2 cells. A focused four-lobed mode distribution is stable and effective in optical...

  14. Sound classification of dwellings

    DEFF Research Database (Denmark)

    Rasmussen, Birgit

    2012-01-01

    National schemes for sound classification of dwellings exist in more than ten countries in Europe, typically published as national standards. The schemes define quality classes reflecting different levels of acoustical comfort. Main criteria concern airborne and impact sound insulation between....... Descriptors, range of quality levels, number of quality classes, class intervals, denotations and descriptions vary across Europe. The diversity is an obstacle for exchange of experience about constructions fulfilling different classes, implying also trade barriers. Thus, a harmonized classification scheme...... is needed, and a European COST Action TU0901 "Integrating and Harmonizing Sound Insulation Aspects in Sustainable Urban Housing Constructions", has been established and runs 2009-2013, one of the main objectives being to prepare a proposal for a European sound classification scheme with a number of quality...

  15. Supernova Photometric Classification Challenge

    CERN Document Server

    Kessler, Richard; Jha, Saurabh; Kuhlmann, Stephen

    2010-01-01

    We have publicly released a blinded mix of simulated SNe, with types (Ia, Ib, Ic, II) selected in proportion to their expected rate. The simulation is realized in the griz filters of the Dark Energy Survey (DES) with realistic observing conditions (sky noise, point spread function and atmospheric transparency) based on years of recorded conditions at the DES site. Simulations of non-Ia type SNe are based on spectroscopically confirmed light curves that include unpublished non-Ia samples donated from the Carnegie Supernova Project (CSP), the Supernova Legacy Survey (SNLS), and the Sloan Digital Sky Survey-II (SDSS-II). We challenge scientists to run their classification algorithms and report a type for each SN. A spectroscopically confirmed subset is provided for training. The goals of this challenge are to (1) learn the relative strengths and weaknesses of the different classification algorithms, (2) use the results to improve classification algorithms, and (3) understand what spectroscopically confirmed sub-...

  16. Information gathering for CLP classification.

    Science.gov (United States)

    Marcello, Ida; Giordano, Felice; Costamagna, Francesca Marina

    2011-01-01

    Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP). If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances) and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  17. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2016-01-01

    A distinction can be made between “artificial classifications” and “natural classifications,” where artificial classifications may adequately serve some limited purposes, but natural classifications are overall most fruitful by allowing inference and thus many different purposes. There is strong...... support for the view that a natural classification should be based on a theory (and, of course, that the most fruitful theory provides the most fruitful classification). Nevertheless, atheoretical (or “descriptive”) classifications are often produced. Paradoxically, atheoretical classifications may...... be very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. Based on such successes one may ask: Should the claim that classifications ideally are natural...

  18. Information gathering for CLP classification

    Directory of Open Access Journals (Sweden)

    Ida Marcello

    2011-01-01

    Full Text Available Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP. If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  19. Classification of Patients Treated for Infertility Using the IVF Method

    Directory of Open Access Journals (Sweden)

    Malinowski Paweł

    2015-12-01

    Full Text Available One of the most effective methods of infertility treatment is in vitro fertilization (IVF. Effectiveness of the treatment, as well as classification of the data obtained from it, is still an ongoing issue. Classifiers obtained so far are powerful, but even the best ones do not exhibit equal quality concerning possible treatment outcome predictions. Usually, lack of pregnancy is predicted far too often. This creates a constant need for further exploration of this issue. Careful use of different classification methods can, however, help to achieve that goal.

  20. The 2015 Nucleic Acids Research Database Issue and molecular biology database collection.

    Science.gov (United States)

    Galperin, Michael Y; Rigden, Daniel J; Fernández-Suárez, Xosé M

    2015-01-01

    The 2015 Nucleic Acids Research Database Issue contains 172 papers that include descriptions of 56 new molecular biology databases, and updates on 115 databases whose descriptions have been previously published in NAR or other journals. Following the classification that has been introduced last year in order to simplify navigation of the entire issue, these articles are divided into eight subject categories. This year's highlights include RNAcentral, an international community portal to various databases on noncoding RNA; ValidatorDB, a validation database for protein structures and their ligands; SASBDB, a primary repository for small-angle scattering data of various macromolecular complexes; MoonProt, a database of 'moonlighting' proteins, and two new databases of protein-protein and other macromolecular complexes, ComPPI and the Complex Portal. This issue also includes an unusually high number of cancer-related databases and other databases dedicated to genomic basics of disease and potential drugs and drug targets. The size of NAR online Molecular Biology Database Collection, http://www.oxfordjournals.org/nar/database/a/, remained approximately the same, following the addition of 74 new resources and removal of 77 obsolete web sites. The entire Database Issue is freely available online on the Nucleic Acids Research web site (http://nar.oxfordjournals.org/).

  1. Minimum Error Entropy Classification

    CERN Document Server

    Marques de Sá, Joaquim P; Santos, Jorge M F; Alexandre, Luís A

    2013-01-01

    This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals. Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.

  2. Latent classification models

    DEFF Research Database (Denmark)

    Langseth, Helge; Nielsen, Thomas Dyhre

    2005-01-01

    One of the simplest, and yet most consistently well-performing setof classifiers is the \\NB models. These models rely on twoassumptions: $(i)$ All the attributes used to describe an instanceare conditionally independent given the class of that instance,and $(ii)$ all attributes follow a specific...... parametric family ofdistributions.  In this paper we propose a new set of models forclassification in continuous domains, termed latent classificationmodels. The latent classification model can roughly be seen ascombining the \\NB model with a mixture of factor analyzers,thereby relaxing the assumptions...... classification model, and wedemonstrate empirically that the accuracy of the proposed model issignificantly higher than the accuracy of other probabilisticclassifiers....

  3. Bosniak Classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens;

    2014-01-01

    . Purpose: To investigate the inter- and intra-observer agreement among experienced uroradiologists when categorizing complex renal cysts according to the Bosniak classification. Material and Methods: The original categories of 100 cystic renal masses were chosen as “Gold Standard” (GS), established...... to the calculated weighted κ all readers performed “very good” for both inter-observer and intra-observer variation. Most variation was seen in cysts catagorized as Bosniak II, IIF, and III. These results show that radiologists who evaluate complex renal cysts routinely may apply the Bosniak classification...

  4. Classification of iconic images

    OpenAIRE

    Zrianina, Mariia; Kopf, Stephan

    2016-01-01

    Iconic images represent an abstract topic and use a presentation that is intuitively understood within a certain cultural context. For example, the abstract topic “global warming” may be represented by a polar bear standing alone on an ice floe. Such images are widely used in media and their automatic classification can help to identify high-level semantic concepts. This paper presents a system for the classification of iconic images. It uses a variation of the Bag of Visual Words approach wi...

  5. BIRADS{sup TM} classification in mammography

    Energy Technology Data Exchange (ETDEWEB)

    Balleyguier, Corinne [Department of Radiology, Institut de Cancerologie Gustave-Roussy, 39 rue Camille Desmoulins, 94805 Villejuif (France)]. E-mail: balleyguier@igr.fr; Ayadi, Salma [Department of Radiology, Institut de Cancerologie Gustave-Roussy, 39 rue Camille Desmoulins, 94805 Villejuif (France); Van Nguyen, Kim [Department of Radiology, Institut de Cancerologie Gustave-Roussy, 39 rue Camille Desmoulins, 94805 Villejuif (France); Vanel, Daniel [Department of Radiology, Institut de Cancerologie Gustave-Roussy, 39 rue Camille Desmoulins, 94805 Villejuif (France); Dromain, Clarisse [Department of Radiology, Institut de Cancerologie Gustave-Roussy, 39 rue Camille Desmoulins, 94805 Villejuif (France); Sigal, Robert [Department of Radiology, Institut de Cancerologie Gustave-Roussy, 39 rue Camille Desmoulins, 94805 Villejuif (France)

    2007-02-15

    The Breast Imaging Report and Data System (BIRADS) of the American College of Radiology (ACR) is today largely used in most of the countries where breast cancer screening is implemented. It is a tool defined to reduce variability between radiologists when creating the reports in mammography, ultrasonography or MRI. Some changes in the last version of the BIRADS{sup TM} have been included to reduce the inaccuracy of some categories, especially for category 4. The BIRADS{sup TM} includes a lexicon and descriptive diagrams of the anomalies, recommendations for the mammographic report as well as councils and examples of mammographic cases. This review describes the mammographic items of the BIRADS classification with its more recent developments, while detailing the advantages and limits of this classification.

  6. Control del cáncer en el Perú: un abordaje integral para un problema de salud pública Cancer control in Peru: a comprehensive approach to a public health issue

    Directory of Open Access Journals (Sweden)

    Gustavo Sarria-Bardales

    2013-03-01

    Full Text Available El cáncer como problema de salud pública es complejo y cambiante, obliga a afrontarlo mediante una estrategia integral, transversal, coherente y sostenible basada en experiencias previas y proyectadas al alarmante incremento que muestra esta condición a nivel global. Es imprescindible buscar y respetar consensos, impulsar nuevas tecnologías e investigar estrategias con sensibilidad cultural adecuadas a las comunidades y en las cuales éstas participen activamente. Se hace impostergable reforzar el componente educacional e introducir las nuevas tecnologías de información y comunicación, reforzando el sistema desde el nivel primario de atención. Nuestro objetivo debe ser la disminución de la morbimortalidad por cáncer en el mediano y largo plazo. En este artículo se describen algunas de las medidas implementadas para este fin. Consideramos que todas las estrategias de prevención del cáncer deben aplicarse en el contexto de actividades transversales orientadas a prevenir otras enfermedades crónicas, con criterio de salud públicaCancer as a public health issue is changing and complex. It calls for a comprehensive, coherent and horizontal strategy based on previous experiences and considering the alarming increase of this condition worldwide. Therefore, it is imperative to reach and respect consensuses, to promote new technologies and study culturally sensitive strategies that adapt to the communities and involve people to actively participate. Likewise, strengthening the educational component and introducing new information and communication technologies cannot wait, while strengthening the system, from the primary health care level at the same time. Our goal should be to reduce cancer morbidity and mortality rates in the medium and long terms. This article describes some of the measures implemented for that purpose. We consider that all cancer preventive strategies should be applied in the context of transversal activities oriented

  7. Prostate Cancer: Symptoms, Diagnosis and Treatment | NIH MedlinePlus the Magazine

    Science.gov (United States)

    ... turn Javascript on. Feature: Prostate Cancer Prostate Cancer: Symptoms, Diagnosis and Treatment Past Issues / Winter 2010 Table of Contents Symptoms Prostate cancer has no symptoms in its early ...

  8. Braving Breast Cancer: Just Do It!

    Science.gov (United States)

    ... of this page please turn Javascript on. Feature: Breast Cancer Braving Breast Cancer: Just Do It! Past Issues / Spring - Summer 2010 Table of Contents Breast cancer survivor Jana Brightwell, pictured here on the NIH ...

  9. Insights into the classification of small GTPases

    Directory of Open Access Journals (Sweden)

    Dominik Heider

    2010-05-01

    Full Text Available Dominik Heider1, Sascha Hauke3, Martin Pyka4, Daniel Kessler21Department of Bioinformatics, Center for Medical Biotechnology, 2Institute of Cell Biology (Cancer Research, University of Duisburg-Essen, Essen, Germany; 3Institute of Computer Science, University of Münster, Münster, Germany; 4Interdisciplinary Center for Clinical Research, University Hospital of Münster, Münster, GermanyAbstract: In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switches in a wide range of fundamental cellular processes, including intracellular transport, movement and signaling events. These proteins have further gained a special emphasis in cancer research, because within the last decades a huge variety of small GTPases from different subgroups could be related to the development of all types of tumors. Using a random forest approach, we were able to identify the most important amino acid positions for the classification process within the small GTPases superfamily and its subgroups. These positions are in line with the results of earlier studies and have been shown to be the essential elements for the different functionalities of the GTPase families. Furthermore, we provide an accurate and reliable software tool (GTPasePred to identify potential novel GTPases and demonstrate its application to genome sequences.Keywords: cancer, machine learning, classification, Random Forests, proteins

  10. Infertility with Testicular Cancer.

    Science.gov (United States)

    Ostrowski, Kevin A; Walsh, Thomas J

    2015-08-01

    Testicular germ cell cancer is one of the most curable cancers. Most patients are treated during their reproductive years, making infertility a significant quality of life issue after successful treatment. This focused review evaluates the factors that contribute to infertility and specific fertility risks with the various testicular cancer treatments. Timing of patient discussions and current fertility treatments are reviewed.

  11. Updated Classification System for Proximal Humeral Fractures

    Science.gov (United States)

    Guix, José M. Mora; Pedrós, Juan Sala; Serrano, Alejandro Castaño

    2009-01-01

    Proximal humeral fractures can restrict daily activities and, therefore, deserve efficient diagnoses that minimize complications and sequels. For good diagnosis and treatment, patient characteristics, variability in the forms of the fractures presented, and the technical difficulties in achieving fair results with surgical treatment should all be taken into account. Current classification systems for these fractures are based on anatomical and pathological principles, and not on systematic image reading. These fractures can appear in many different forms, with many characteristics that must be identified. However, many current classification systems lack good reliability, both inter-observer and intra-observer for different image types. A new approach to image reading, following a well-designed set and sequence of variables to check, is needed. We previously reported such an image reading system. In the present study, we report a classification system based on this image reading system. Here we define 21 fracture characteristics and apply them along with classical Codman approaches to classify fractures. We base this novel classification system for classifying proximal humeral fractures on a review of scientific literature and improvements to our image reading protocol. Patient status, fracture characteristics and surgeon circumstances have been important issues in developing this system. PMID:19574487

  12. MASS CLASSIFICATION IN DIGITAL MAMMOGRAMS BASED ON DISCRETE SHEARLET TRANSFORM

    Directory of Open Access Journals (Sweden)

    J. Amjath Ali

    2013-01-01

    Full Text Available The most significant health problem in the world is breast cancer and early detection is the key to predict it. Mammography is the most reliable method to diagnose breast cancer at the earliest. The classification of the two most findings in the digital mammograms, micro calcifications and mass are valuable for early detection. Since, the appearance of the masses are similar to the surrounding parenchyma, the classification is not an easy task. In this study, an efficient approach to classify masses in the Mammography Image Analysis Society (MIAS database mammogram images is presented. The key features used for the classification is the energies of shearlet decomposed image. These features are fed into SVM classifier to classify mass/non mass images and also benign/malignant. The results demonstrate that the proposed shearlet energy features outperforms the wavelet energy features in terms of accuracy."

  13. National Cancer Institute Prostate Cancer Genetics Workshop.

    Science.gov (United States)

    Catalona, William J; Bailey-Wilson, Joan E; Camp, Nicola J; Chanock, Stephen J; Cooney, Kathleen A; Easton, Douglas F; Eeles, Rosalind A; FitzGerald, Liesel M; Freedman, Matthew L; Gudmundsson, Julius; Kittles, Rick A; Margulies, Elliott H; McGuire, Barry B; Ostrander, Elaine A; Rebbeck, Timothy R; Stanford, Janet L; Thibodeau, Stephen N; Witte, John S; Isaacs, William B

    2011-05-15

    Compelling evidence supports a genetic component to prostate cancer susceptibility and aggressiveness. Recent genome-wide association studies have identified more than 30 single-nucleotide polymorphisms associated with prostate cancer susceptibility. It remains unclear, however, whether such genetic variants are associated with disease aggressiveness--one of the most important questions in prostate cancer research today. To help clarify this and substantially expand research in the genetic determinants of prostate cancer aggressiveness, the first National Cancer Institute Prostate Cancer Genetics Workshop assembled researchers to develop plans for a large new research consortium and patient cohort. The workshop reviewed the prior work in this area and addressed the practical issues in planning future studies. With new DNA sequencing technology, the potential application of sequencing information to patient care is emerging. The workshop, therefore, included state-of-the-art presentations by experts on new genotyping technologies, including sequencing and associated bioinformatics issues, which are just beginning to be applied to cancer genetics.

  14. Classification of waste packages

    Energy Technology Data Exchange (ETDEWEB)

    Mueller, H.P.; Sauer, M.; Rojahn, T. [Versuchsatomkraftwerk GmbH, Kahl am Main (Germany)

    2001-07-01

    A barrel gamma scanning unit has been in use at the VAK for the classification of radioactive waste materials since 1998. The unit provides the facility operator with the data required for classification of waste barrels. Once these data have been entered into the AVK data processing system, the radiological status of raw waste as well as pre-treated and processed waste can be tracked from the point of origin to the point at which the waste is delivered to a final storage. Since the barrel gamma scanning unit was commissioned in 1998, approximately 900 barrels have been measured and the relevant data required for classification collected and analyzed. Based on the positive results of experience in the use of the mobile barrel gamma scanning unit, the VAK now offers the classification of barrels as a service to external users. Depending upon waste quantity accumulation, this measurement unit offers facility operators a reliable and time-saving and cost-effective means of identifying and documenting the radioactivity inventory of barrels scheduled for final storage. (orig.)

  15. Improving Student Question Classification

    Science.gov (United States)

    Heiner, Cecily; Zachary, Joseph L.

    2009-01-01

    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…

  16. Event Classification using Concepts

    NARCIS (Netherlands)

    Boer, M.H.T. de; Schutte, K.; Kraaij, W.

    2013-01-01

    The semantic gap is one of the challenges in the GOOSE project. In this paper a Semantic Event Classification (SEC) system is proposed as an initial step in tackling the semantic gap challenge in the GOOSE project. This system uses semantic text analysis, multiple feature detectors using the BoW mod

  17. Nearest convex hull classification

    NARCIS (Netherlands)

    G.I. Nalbantov (Georgi); P.J.F. Groenen (Patrick); J.C. Bioch (Cor)

    2006-01-01

    textabstractConsider the classification task of assigning a test object to one of two or more possible groups, or classes. An intuitive way to proceed is to assign the object to that class, to which the distance is minimal. As a distance measure to a class, we propose here to use the distance to the

  18. Classification of myocardial infarction

    DEFF Research Database (Denmark)

    Saaby, Lotte; Poulsen, Tina Svenstrup; Hosbond, Susanne Elisabeth;

    2013-01-01

    The classification of myocardial infarction into 5 types was introduced in 2007 as an important component of the universal definition. In contrast to the plaque rupture-related type 1 myocardial infarction, type 2 myocardial infarction is considered to be caused by an imbalance between demand and...

  19. Recurrent neural collective classification.

    Science.gov (United States)

    Monner, Derek D; Reggia, James A

    2013-12-01

    With the recent surge in availability of data sets containing not only individual attributes but also relationships, classification techniques that take advantage of predictive relationship information have gained in popularity. The most popular existing collective classification techniques have a number of limitations-some of them generate arbitrary and potentially lossy summaries of the relationship data, whereas others ignore directionality and strength of relationships. Popular existing techniques make use of only direct neighbor relationships when classifying a given entity, ignoring potentially useful information contained in expanded neighborhoods of radius greater than one. We present a new technique that we call recurrent neural collective classification (RNCC), which avoids arbitrary summarization, uses information about relationship directionality and strength, and through recursive encoding, learns to leverage larger relational neighborhoods around each entity. Experiments with synthetic data sets show that RNCC can make effective use of relationship data for both direct and expanded neighborhoods. Further experiments demonstrate that our technique outperforms previously published results of several collective classification methods on a number of real-world data sets.

  20. Sandwich classification theorem

    Directory of Open Access Journals (Sweden)

    Alexey Stepanov

    2015-09-01

    Full Text Available The present note arises from the author's talk at the conference ``Ischia Group Theory 2014''. For subgroups FleN of a group G denote by Lat(F,N the set of all subgroups of N , containing F . Let D be a subgroup of G . In this note we study the lattice LL=Lat(D,G and the lattice LL ′ of subgroups of G , normalized by D . We say that LL satisfies sandwich classification theorem if LL splits into a disjoint union of sandwiches Lat(F,N G (F over all subgroups F such that the normal closure of D in F coincides with F . Here N G (F denotes the normalizer of F in G . A similar notion of sandwich classification is introduced for the lattice LL ′ . If D is perfect, i.,e. coincides with its commutator subgroup, then it turns out that sandwich classification theorem for LL and LL ′ are equivalent. We also show how to find basic subroup F of sandwiches for LL ′ and review sandwich classification theorems in algebraic groups over rings.