Recombinant Protein Production from TPO Gen Cloning and Expression for Early Detection of Autoimmune Thyroid Diseases

Science.gov (United States)

Aulanni'am, Aulanni'am; Kinasih Wuragil, Dyah; Wahono Soeatmadji, Djoko; Zulkarnain; Marhendra, Agung Pramana W.

2018-01-01

Autoimmune Thyroid Disease (AITD) is an autoimmune disease that has many clinical symptoms but is difficult to detect at the onset of disease progression. Most thyroid autoimmune disease patients are positive with high titre of thyroid autoantibodies, especially thyroid peroxidase (TPO). The detection AITD are still needed because these tests are extremely high cost and have not regularly been performed in most of clinical laboratories. In the past, we have explored the autoimmune disease marker and it has been developed as source of polyclonal antibodies from patient origin. In the current study, we develop recombinant protein which resulted from cloning and expression of TPO gene from normal person and AITD patients. This work flows involves: DNA isolation and PCR to obtain TPO gene from human blood, insertion of TPO gene to plasmid and transformation to E. coli BL21, Bacterial culture to obtain protein product, protein purification and product analysis. This products can use for application to immunochromatography based test. This work could achieved with the goal of producing autoimmune markers with a guaranteed quality, sensitive, specific and economically. So with the collaboration with industries these devices could be used for early detection. Keywords: recombinant protein, TPO gene, Autoimmune thyroid diseases (AITD)ction of the diseases in the community.

Detection of IFN-γ Secretion by T Cells Collected Before and After Successful Treatment of Early Lyme Disease.

Science.gov (United States)

Callister, Steven M; Jobe, Dean A; Stuparic-Stancic, Aleksandra; Miyamasu, Misato; Boyle, Jeff; Dattwyler, Raymond J; Arnaboldi, Paul M

2016-05-15

Current serodiagnostics for Lyme disease lack sensitivity during early disease, and cannot determine treatment response. We evaluated an assay based on QuantiFERON technology utilizing peptide antigens derived from Borrelia burgdorferi to stimulate interferon-gamma (IFN-γ) release as an alternative to serodiagnosis for the laboratory detection of Lyme disease. Blood was obtained from patients with erythema migrans before (n = 29) and 2 months after (n = 27) antibiotic therapy. IFN-γ release was measured by enzyme-linked immunosorbent assay (ELISA) following overnight stimulation of whole blood with the peptide antigens, and compared to the results of standard serological assays (C6, ELISA, and Western blot). IFN-γ release was observed in pretreatment blood of 20 of 29 (69%) patients with Lyme disease. Following antibiotic treatment, IFN-γ was significantly reduced (P = .0002), and was detectable in only 4 of 20 (20%) initially positive patients. By contrast, anti-C6 antibodies were detected in pretreatment sera from 17 of 29 (59%) subjects, whereas only 5 of 29 (17%) patients had positive Western blot seroreactivity. Antibody responses persisted and expanded following treatment. Our findings suggest that measurement of IFN-γ after incubating blood with Borrelia antigens could be useful in the laboratory diagnosis of early Lyme disease. Also, after antibiotic treatment, this response appears to be short lived. © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.

Presymptomatic detection of Parkinson's disease.

Science.gov (United States)

Jenner, P

1993-01-01

Presymptomatic detection of Parkinson's disease is necessary if neuroprotective therapies are to be utilized in its treatment. Various methods (PET, electrophysiology, enzyme assays, olfactory function) may be applicable but none has been rigorously evaluated. Other possible approaches are now considered. Plasma HVA levels (pHVA) in the presence of debrisoquine may reflect cerebral dopamine function. However, there are no detectable differences in pHVA between newly diagnosed and untreated parkinsonian patients and control subjects. Compensatory increases in dopamine turnover may mask a decrease in pHVA in the early stages of the disease. So, at present this technique could not be used as a diagnostic tool. Post-mortem studies of brain in Parkinson's disease may provide clues to biochemical markers indicative of nigral pathology. Mitochondrial complex I activity is reduced in substantia nigra in Parkinson's disease and it was reported also to be markedly reduced in blood platelets. However, subsequent studies suggest that the difference in platelet complex I activity is too small to be diagnostic of Parkinson's disease. There are also selective reductions in brain glutathione levels in Parkinson's disease restricted to substantia nigra, which do not occur in other neurodegenerative disorders and are not due to drug treatment. Importantly, in incidental Lewy body disease (preclinical Parkinson's disease) nigral glutathione levels are reduced to the same degree as in advanced Parkinson's disease. So, some peripheral index of altered glutathione function may be valuable in the early detection of the disease process.

Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson's disease.

Science.gov (United States)

Iakovakis, Dimitrios; Hadjidimitriou, Stelios; Charisis, Vasileios; Bostantzopoulou, Sevasti; Katsarou, Zoe; Hadjileontiadis, Leontios J

2018-05-16

Parkinson's disease (PD) is a degenerative movement disorder causing progressive disability that severely affects patients' quality of life. While early treatment can produce significant benefits for patients, the mildness of many early signs combined with the lack of accessible high-frequency monitoring tools may delay clinical diagnosis. To meet this need, user interaction data from consumer technologies have recently been exploited towards unsupervised screening for PD symptoms in daily life. Similarly, this work proposes a method for detecting fine motor skills decline in early PD patients via analysis of patterns emerging from finger interaction with touchscreen smartphones during natural typing. Our approach relies on low-/higher-order statistical features of keystrokes timing and pressure variables, computed from short typing sessions. Features are fed into a two-stage multi-model classification pipeline that reaches a decision on the subject's status (PD patient/control) by gradually fusing prediction probabilities obtained for individual typing sessions and keystroke variables. This method achieved an AUC = 0.92 and 0.82/0.81 sensitivity/specificity (matched groups of 18 early PD patients/15 controls) with discriminant features plausibly correlating with clinical scores of relevant PD motor symptoms. These findings suggest an improvement over similar approaches, thereby constituting a further step towards unobtrusive early PD detection from routine activities.

Biomarker detection for disease diagnosis using cost-effective microfluidic platforms.

Science.gov (United States)

Sanjay, Sharma T; Fu, Guanglei; Dou, Maowei; Xu, Feng; Liu, Rutao; Qi, Hao; Li, XiuJun

2015-11-07

Early and timely detection of disease biomarkers can prevent the spread of infectious diseases, and drastically decrease the death rate of people suffering from different diseases such as cancer and infectious diseases. Because conventional diagnostic methods have limited application in low-resource settings due to the use of bulky and expensive instrumentation, simple and low-cost point-of-care diagnostic devices for timely and early biomarker diagnosis is the need of the hour, especially in rural areas and developing nations. The microfluidics technology possesses remarkable features for simple, low-cost, and rapid disease diagnosis. There have been significant advances in the development of microfluidic platforms for biomarker detection of diseases. This article reviews recent advances in biomarker detection using cost-effective microfluidic devices for disease diagnosis, with the emphasis on infectious disease and cancer diagnosis in low-resource settings. This review first introduces different microfluidic platforms (e.g. polymer and paper-based microfluidics) used for disease diagnosis, with a brief description of their common fabrication techniques. Then, it highlights various detection strategies for disease biomarker detection using microfluidic platforms, including colorimetric, fluorescence, chemiluminescence, electrochemiluminescence (ECL), and electrochemical detection. Finally, it discusses the current limitations of microfluidic devices for disease biomarker detection and future prospects.

Early Detection of Amyloid Plaque in Alzheimer’s Disease via X-ray Phase CT

Science.gov (United States)

2016-08-01

Geraghty, J. A. Seibert, and S. L. Wootton-Gorges, “Dose reduction in pediatric CT : A rational approach,” Radiology 228, 352–360 (2003). Medical...improvement in image quality can be quantified as large as 450 [Fig. 6(c)] and 350 [Fig. 6(d)] Hounsfield units (HUs), where the Hounsfield unit is defined...AWARD NUMBER: W81XWH-12-1-0138 TITLE: Early Detection of Amyloid Plaque in Alzheimer’s Disease via X-ray Phase CT PRINCIPAL INVESTIGATOR

Cerebrovascular Diseases and Early Seizure

Directory of Open Access Journals (Sweden)

Ayşegül Gündüz

2006-08-01

Full Text Available OBJECTIVE: Cerebrovascular disease is one of the important causes of seizures and epilepsy among the advanced age group. Seziures are found to be associated with lesion localization and size in previous studies. METHODS: Here, we aimed to detect prevelance of seizure, relation of seizure and lesion localization, and observed seizure types. RESULTS: Three hundred seventy eight patients with ischemic cerebrovascular disease or intraparenchymal hemorrhage who were followed in Cerrahpasa IVIedical School clinic were studied retrospectively and probability of seizure occurence within 1 month after stroke was evaluated. CONCLUSION: Among 378 patients hospitalized by acute stroke, 339 were diagnosed as ischemic cerebrovascular disease and 39 (10.3% had primary intraparenchymal hematoma. Seizures were observed in 16 patients (4.2%, 2 (%5.1 in intraparenchymal hematoma group and 14 (%4.1 in ischemic cerebrovascular disease. Early seizures were detected in 33% of patients with anterior cerebral artery, in 6.8% of posterior cerebral artery and in 3.3% of middle cerebral artery infarcts and in three patients out of 12 who were known to have epilepsy. Seizure types were secondarily generalised tonic-clonic seizure in nine cases (57%. Among whole group status epilepticus was observed in four patients (1.1%. Conclusion: Early seizure rates are found to be high among patients with anterior cerebral artery infarct and known epilepsy

Deep Recurrent Neural Networks for seizure detection and early seizure detection systems

Energy Technology Data Exchange (ETDEWEB)

Talathi, S. S. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

2017-06-05

Epilepsy is common neurological diseases, affecting about 0.6-0.8 % of world population. Epileptic patients suffer from chronic unprovoked seizures, which can result in broad spectrum of debilitating medical and social consequences. Since seizures, in general, occur infrequently and are unpredictable, automated seizure detection systems are recommended to screen for seizures during long-term electroencephalogram (EEG) recordings. In addition, systems for early seizure detection can lead to the development of new types of intervention systems that are designed to control or shorten the duration of seizure events. In this article, we investigate the utility of recurrent neural networks (RNNs) in designing seizure detection and early seizure detection systems. We propose a deep learning framework via the use of Gated Recurrent Unit (GRU) RNNs for seizure detection. We use publicly available data in order to evaluate our method and demonstrate very promising evaluation results with overall accuracy close to 100 %. We also systematically investigate the application of our method for early seizure warning systems. Our method can detect about 98% of seizure events within the first 5 seconds of the overall epileptic seizure duration.

Strategies for Early Outbreak Detection of Malaria in the Amhara Region of Ethiopia

Science.gov (United States)

Nekorchuk, D.; Gebrehiwot, T.; Mihretie, A.; Awoke, W.; Wimberly, M. C.

2017-12-01

Traditional epidemiological approaches to early detection of disease outbreaks are based on relatively straightforward thresholds (e.g. 75th percentile, standard deviations) estimated from historical case data. For diseases with strong seasonality, these can be modified to create separate thresholds for each seasonal time step. However, for disease processes that are non-stationary, more sophisticated techniques are needed to more accurately estimate outbreak threshold values. Early detection for geohealth-related diseases that also have environmental drivers, such as vector-borne diseases, may also benefit from the integration of time-lagged environmental data and disease ecology models into the threshold calculations. The Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessment (EPIDEMIA) project has been integrating malaria case surveillance with remotely-sensed environmental data for early detection, warning, and forecasting of malaria epidemics in the Amhara region of Ethiopia, and has five years of weekly time series data from 47 woredas (districts). Efforts to reduce the burden of malaria in Ethiopia has been met with some notable success in the past two decades with major reduction in cases and deaths. However, malaria remains a significant public health threat as 60% of the population live in malarious areas, and due to the seasonal and unstable transmission patterns with cyclic outbreaks, protective immunity is generally low which could cause high morbidity and mortality during the epidemics. This study compared several approaches for defining outbreak thresholds and for identifying a potential outbreak based on deviations from these thresholds. We found that model-based approaches that accounted for climate-driven seasonality in malaria transmission were most effective, and that incorporating a trend component improved outbreak detection in areas with active malaria elimination efforts. An advantage of these early

All-optical photoacoustic imaging and detection of early-stage dental caries

Science.gov (United States)

Sampathkumar, Ashwin; Hughes, David A.; Longbottom, Chris; Kirk, Katherine J.

2015-02-01

Dental caries remain one of the most common oral diseases in the world. Current detection methods, such as dental explorer and X-ray radiography, suffer from poor sensitivity and specificity at the earliest (and reversible) stages of the disease because of the small size (tooth decay. This AOPAI system provides a non-contact, non-invasive and non-ionizing means of detecting early-stage dental caries. Ex-vivo teeth exhibiting early-stage, white-spot lesions were imaged using AOPAI. Experimental scans targeted each early-stage lesion and a reference healthy enamel region. Photoacoustic (PA) signals were generated in the tooth using a 532-nm pulsed laser and the light-induced broadband ultrasound signal was detected at the surface of the tooth with an optical path-stabilized Michelson interferometer operating at 532 nm. The measured time-domain signal was spatially resolved and back-projected to form 2D and 3D maps of the lesion using k-wave reconstruction methods. Experimental data collected from areas of healthy and diseased enamel indicate that the lesion generated a larger PA response compared to healthy enamel. The PA-signal amplitude alone was able to detect a lesion on the surface of the tooth. However, time- reversal reconstructions of the PA scans also quantitatively depicted the depth of the lesion. 3D PA reconstruction of the diseased tooth indicated a sub-surface lesion at a depth of 0.6 mm, in addition to the surface lesion. These results suggest that our AOPAI system is well suited for rapid clinical assessment of early-stage dental caries. An overview of the AOPAI system, fine-resolution PA and histology results of diseased and healthy teeth will be presented.

Oral-Fluid Thiol-Detection Test Identifies Underlying Active Periodontal Disease Not Detected by the Visual Awake Examination.

Science.gov (United States)

Queck, Katherine E; Chapman, Angela; Herzog, Leslie J; Shell-Martin, Tamara; Burgess-Cassler, Anthony; McClure, George David

Periodontal disease in dogs is highly prevalent but can only be accurately diagnosed by performing an anesthetized oral examination with periodontal probing and dental radiography. In this study, 114 dogs had a visual awake examination of the oral cavity and were administered an oral-fluid thiol-detection test prior to undergoing a a full-mouth anesthetized oral examination and digital dental radiographs. The results show the visual awake examination underestimated the presence and severity of active periodontal disease. The thiol-detection test was superior to the visual awake examination at detecting the presence and severity of active periodontal disease and was an indicator of progression toward alveolar bone loss. The thiol-detection test detected active periodontal disease at early stages of development, before any visual cues were present, indicating the need for intervention to prevent periodontal bone loss. Early detection is important because without intervention, dogs with gingivitis (active periodontal disease) progress to irreversible periodontal bone loss (stage 2+). As suggested in the current AAHA guidelines, a thiol-detection test administered in conjunction with the visual awake examination during routine wellness examinations facilitates veterinarian-client communication and mitigates under-diagnosis of periodontal disease and underutilization of dental services. The thiol-detection test can be used to monitor the periodontal health status of the conscious patient during follow-up examinations based on disease severity.

Multicenter study of the COPD-6 screening device: feasible for early detection of chronic obstructive pulmonary disease in primary care?

Science.gov (United States)

Kjeldgaard, Peter; Lykkegaard, Jesper; Spillemose, Heidi; Ulrik, Charlotte Suppli

2017-01-01

Early detection of COPD may reduce the future burden of the disease. We aimed to investigate whether prescreening with a COPD-6 screening device (measuring FEV 1 and FEV 6 ) facilitates early detection of COPD in primary care. In primary care, individuals at high risk of COPD (ie, age ≥35 years, relevant exposure, and at least one respiratory symptom) and no previous diagnosis of obstructive lung disease were examined with a COPD-6 screening device. In prioritized order, the criteria for proceeding to confirmatory spirometry were FEV 1 /FEV 6 COPD regardless of test result (medical doctor's [MD] decision). Based on spirometry, including bronchodilator (BD) reversibility test, individuals were classified as COPD (post-BD FEV 1 /FVC COPD-6 screening to confirmative spirometry based on the following criteria: 510 (54%) FEV 1 /FEV 6 COPD (51%), asthma (3%), and no obstructive lung disease (45%). COPD was diagnosed in 487 (16%) of the enrolled subjects in whom confirmative spirometry was performed in 69% based on FEV 1 /FEV 6 COPD-6 device showed acceptable specificity for the selection of subjects for diagnostic spirometry and is likely to be a useful alternative to current practice in primary care.

Primary haemochromatosis. Early detection of commitment myocardium through cardiac magnetic resonance

International Nuclear Information System (INIS)

Corbella, F.; Rivas, Carlos; Dragonetti, Laura; Eyheremendy, Eduardo; Calo, Claudia

2009-01-01

Primary haemochromatosis is the most common genetic disease of the West (1 in 300 to 400 people). Cardiac involvement during its early stages is not detected by imaging techniques.During this period potentially lethal arrhythmias can occur. Using cardiac magnetic resonance (CMR) with T2 star sequence it is possible an early detection of cardiac involvement as well as a risk stratification and a monitoring the progress of the therapy. [es

Laser Raman detection of platelet as a non-invasive approach for early and differential diagnosis of Alzheimer's disease

International Nuclear Information System (INIS)

Chen, P; Wang, X H; Cheng, Y; Peng, J; Shen, A G; Hu, J M; Tian, Q; Shang, X L; Liu, Z C; Yao, X Q; Wang, J Z; Baek, S J; Park, A

2011-01-01

Early and differential diagnosis of Alzheimer's disease (AD) is a problem that puzzled many doctors. Reliable markers in easy-assembling samples are of considerable clinical diagnostic value. In this work, laser Raman spectroscopy (LRS) was developed a new method that potentially allows early and differential diagnosis of AD from the platelet sample. Raman spectra of platelets isolated from different ages of AD transgenic mice and non-transgenic controls were collected and analyzed. Multilayer perceptron networks (MLP) classification method was used to classify spectra and establish the diagnostic models. For differential diagnosis, spectra of platelets isolated from AD, Parkinson's disease (PD) and vascular dementia (VD) mice were also discriminated. Two notable spectral differences at 740 and 1654 cm -1 were revealed in the mean spectrum of platelets isolated from AD transgenic mice and the controls. MLP displayed a powerful ability in the classifying of early, advanced AD and the control group, and in differential diagnosis of PD and advanced AD, as well as VD and advanced AD. The results suggest that platelet detecting by LRS coupled with MLP analysis appears to be an easy and accurate method for early and differential diagnosis of AD. This technique could be rapidly promoted from laboratory to the hospital

Early Detection of Brain Pathology Suggestive of Early AD Using Objective Evaluation of FDG-PET Scans

Directory of Open Access Journals (Sweden)

James C. Patterson

2011-01-01

Full Text Available The need for early detection of AD becomes critical as disease-modifying agents near the marketplace. Here, we present results from a study focused on improvement in detection of metabolic deficits related to neurodegenerative changes consistent with possible early AD with statistical evaluation of FDG-PET brain images. We followed 31 subjects at high risk or diagnosed with MCI/AD for 3 years. 15 met criteria for diagnosis of MCI, and five met criteria for AD. FDG-PET scans were completed at initiation and termination of the study. PET scans were read clinically and also evaluated objectively using Statistical Parametric Mapping (SPM. Using standard clinical evaluation of the FDG-PET scans, 11 subjects were detected, while 18 were detected using SPM evaluation. These preliminary results indicate that objective analyses may improve detection; however, early detection in at-risk normal subjects remains tentative. Several FDA-approved software packages are available that use objective analyses, thus the capacity exists for wider use of this method for MCI/AD.

Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations.

Science.gov (United States)

Rodríguez-Prieto, V; Vicente-Rubiano, M; Sánchez-Matamoros, A; Rubio-Guerri, C; Melero, M; Martínez-López, B; Martínez-Avilés, M; Hoinville, L; Vergne, T; Comin, A; Schauer, B; Dórea, F; Pfeiffer, D U; Sánchez-Vizcaíno, J M

2015-07-01

In this globalized world, the spread of new, exotic and re-emerging diseases has become one of the most important threats to animal production and public health. This systematic review analyses conventional and novel early detection methods applied to surveillance. In all, 125 scientific documents were considered for this study. Exotic (n = 49) and re-emerging (n = 27) diseases constituted the most frequently represented health threats. In addition, the majority of studies were related to zoonoses (n = 66). The approaches found in the review could be divided in surveillance modalities, both active (n = 23) and passive (n = 5); and tools and methodologies that support surveillance activities (n = 57). Combinations of surveillance modalities and tools (n = 40) were also found. Risk-based approaches were very common (n = 60), especially in the papers describing tools and methodologies (n = 50). The main applications, benefits and limitations of each approach were extracted from the papers. This information will be very useful for informing the development of tools to facilitate the design of cost-effective surveillance strategies. Thus, the current literature review provides key information about the advantages, disadvantages, limitations and potential application of methodologies for the early detection of new, exotic and re-emerging diseases.

Early Detection System of Vascular Disease and Its Application Prospect

Directory of Open Access Journals (Sweden)

Huan Liu

2016-01-01

Full Text Available Markers of imaging, structure, and function reflecting vascular damage, integrating a long time accumulation effect of traditional and unrecognized cardiovascular risk factors, can be regarded as surrogate endpoints of target organ damage before the occurrence of clinical events. Prevention of cardiovascular disease requires risk stratification and treatment of traditional risk factors, such as smoking, hypertension, hyperlipidemia, and diabetes. However, traditional risk stratification is not sufficient to provide accurate assessment of future cardiovascular events. Therefore, vascular injury related parameters obtained by ultrasound or other noninvasive devices, as a surrogate parameter of subclinical cardiovascular disease, can improve cardiovascular risk assessment and optimize the preventive treatment strategy. Thus, we will summarize the research progress and clinical application of early assessment technology of vascular diseases in the present review.

Early Detection of Viral Hepatitis Can Save Lives - PSA (:30)

Centers for Disease Control (CDC) Podcasts

2010-05-12

Early detection of viral hepatitis can help prevent liver damage, cirrhosis, and even liver cancer.  Created: 5/12/2010 by Centers for Disease Control and Prevention (CDC).   Date Released: 5/12/2010.

Bacterial Infection Potato Tuber Soft Rot Disease Detection Based on Electronic Nose

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Chang Zhiyong

2017-11-01

Full Text Available Soft rot is a severe bacterial disease of potatoes, and soft rot infection can cause significant economic losses during the storage period of potatoes. In this study, potato soft rot was selected as the research object, and a type of potato tuber soft rot disease early detection method based on the electronic nose technology was proposed. An optimized bionic electronic nose gas chamber and a scientific and reasonable sampling device were designed to detect a change in volatile substances of the infected soft rot disease of potato tuber. The infection of soft rot disease in potato tuber samples was detected and identified by using the RBF NN algorithm and SVM algorithm. The results revealed that the proposed bionic electronic nose system can be utilized for early detection of potato tuber soft rot disease. Through comparison and analysis, the recognition rate using the SVM algorithm reached up to 89.7%, and the results were superior to the RBF NN algorithm.

REM behaviour disorder detection associated with neurodegenerative diseases

DEFF Research Database (Denmark)

Kempfner, Jacob; Sorensen, Gertrud; Zoetmulder, Marielle

2010-01-01

Abnormal skeleton muscle activity during REM sleep is characterized as REM Behaviour Disorder (RBD), and may be an early marker for different neurodegenerative diseases. Early detection of RBD is therefore highly important, and in this ongoing study a semi-automatic method for RBD detection......, a computerized algorithm has been attempted implemented. By analysing the REM and non-REM EMG activity, using advanced signal processing tools combined with a statistical classifier, it is possible to discriminate normal and abnormal EMG activity. Due to the small number of patients, the overall performance...

Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group.

Science.gov (United States)

Buehler, James W; Hopkins, Richard S; Overhage, J Marc; Sosin, Daniel M; Tong, Van

2004-05-07

The threat of terrorism and high-profile disease outbreaks has drawn attention to public health surveillance systems for early detection of outbreaks. State and local health departments are enhancing existing surveillance systems and developing new systems to better detect outbreaks through public health surveillance. However, information is limited about the usefulness of surveillance systems for outbreak detection or the best ways to support this function. This report supplements previous guidelines for evaluating public health surveillance systems. Use of this framework is intended to improve decision-making regarding the implementation of surveillance for outbreak detection. Use of a standardized evaluation methodology, including description of system design and operation, also will enhance the exchange of information regarding methods to improve early detection of outbreaks. The framework directs particular attention to the measurement of timeliness and validity for outbreak detection. The evaluation framework is designed to support assessment and description of all surveillance approaches to early detection, whether through traditional disease reporting, specialized analytic routines for aberration detection, or surveillance using early indicators of disease outbreaks, such as syndromic surveillance.

Application of Metabonomics in Early Diagnosis of Diseases

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Qiao LIU

2015-06-01

Full Text Available With the development of life sciences, people have changed their focus from local research to systematic biology, thus contributing to the development of a series of “omics”, including genomics, transcriptomics, proteomics and metabonomics, etc. Metabonomics is a presently developed new branch of science that can provide qualitative and quantitative analysis on all metabolites with low-molecular quality in the body, tissues or cells of an organism. It recognizes the changes and rules of the biological endogenous substance under the impact of internal and external factors by generally and quantitatively detecting multiple small molecular compounds in biological samples, in hope of finding out the metabolic marker clusters in the early stage of diseases so as to provide new pathways for the early diagnosis of the diseases and the realization of individualized drug administration. Additionally, metabonomics research on clinical diseases has become a hot topic and made great achievement in the developmental condition, diagnostic methods, pathogenic mechanism and pharmaceutical efficacy evaluation of diseases. This study mainly reviewed the application and advances of metabonomics in the early diagnosis of malignant tumors, cardiovascular and respiratory diseases, hoping to provide references and prompts for metabonomics-associated researches.

Detecting Lyme disease using antibody-functionalized carbon nanotubes

Science.gov (United States)

Dailey, Jennifer; Lerner, Mitchell; Goldsmith, Brett; Brisson, Dustin; Johnson, A. T. Charlie

2011-03-01

We combine antibodies for Lyme flagellar protein with carbon nanotube transistors to create an electronic sensor capable of definitive detection of Lyme disease. Over 35,000 cases of Lyme disease are reported in the United States each year, of which more than 23 percent are originally misdiagnosed. Rational design of the coupling of the biological system to the electronic system gives us a flexible sensor platform which we can apply to several biological systems. By coupling these antibodies to carbon nanotubes in particular, we allow for fast, sensitive, highly selective, electronic detection. Unlike antibody or biomarker detection, bacterial protein detection leads to positive identification of both early and late stage bacterial infections, and is easily expandable to environmental monitoring.

Detection of relapse in early stage Hodgkin's disease: role of routine follow up studies

Energy Technology Data Exchange (ETDEWEB)

Torrey, Margaret J; Poen, Joseph C; Hoppe, Richard T

1995-07-01

Purpose: To examine the costs and benefits of an established practice of routine follow-up in a cohort of patients treated with radiation therapy for early stage Hodgkin's disease. Materials and Methods: We retrospectively examined patterns of follow-up and methods of relapse detection among 709 patients with Ann Arbor Stage I-II Hodgkin's disease treated with sub-total lymphoid irradiation (STLI) or total lymphoid irradiation (TLI) between 1969-1994. We determined the probability of relapse detection for each of 7 routine follow up procedures, compared their relative costs, and determined the impact of each procedure on the likelihood of overall survival following salvage therapy. Results: Relapse has occurred in 157 patients (22%) at a median 1.9 years (range 0-13 years) following treatment. 133 relapses (85%) occurred during the first 5 years of follow. Detailed information concerning the method of relapse detection was available on 107 patients. These 107 patients form the basis of this analysis. Relapse was identified by history (Hx) alone in 55% of patients, physical exam (PE) in 14%, chest x-ray (CXR) in 23% and abdominal x-ray (KUB) in 7%. Only one relapse (1%) was identified by a routine laboratory study - erythrocyte sedimentation rate (ESR). The rate of relapse detection was highest for a combination of history and physical exam (78/10,000 exams) followed by CXR (26/10,000 exams), KUB (10/10,000 exams) and ESR (1/10,000 tests). Complete blood count (CBC) and serum chemistries were never the primary factor in detecting HD relapse. Radiographs accounted for greater than 60% of charges while laboratory studies and physician charges accounted for approximately 20% each. The projected charges (1994 dollars) of relapse detection by routine follow up Hx and PE was [dollar]10,600 compared with [dollar]68,200 for CXR, [dollar]141,800 for KUB and [dollar]156,400 for ESR. 10 year actuarial survival following salvage therapy was 65% overall, 65% for patients in whom

Detection of relapse in early stage Hodgkin's disease: role of routine follow up studies

International Nuclear Information System (INIS)

Torrey, Margaret J.; Poen, Joseph C.; Hoppe, Richard T.

1995-01-01

Purpose: To examine the costs and benefits of an established practice of routine follow-up in a cohort of patients treated with radiation therapy for early stage Hodgkin's disease. Materials and Methods: We retrospectively examined patterns of follow-up and methods of relapse detection among 709 patients with Ann Arbor Stage I-II Hodgkin's disease treated with sub-total lymphoid irradiation (STLI) or total lymphoid irradiation (TLI) between 1969-1994. We determined the probability of relapse detection for each of 7 routine follow up procedures, compared their relative costs, and determined the impact of each procedure on the likelihood of overall survival following salvage therapy. Results: Relapse has occurred in 157 patients (22%) at a median 1.9 years (range 0-13 years) following treatment. 133 relapses (85%) occurred during the first 5 years of follow. Detailed information concerning the method of relapse detection was available on 107 patients. These 107 patients form the basis of this analysis. Relapse was identified by history (Hx) alone in 55% of patients, physical exam (PE) in 14%, chest x-ray (CXR) in 23% and abdominal x-ray (KUB) in 7%. Only one relapse (1%) was identified by a routine laboratory study - erythrocyte sedimentation rate (ESR). The rate of relapse detection was highest for a combination of history and physical exam (78/10,000 exams) followed by CXR (26/10,000 exams), KUB (10/10,000 exams) and ESR (1/10,000 tests). Complete blood count (CBC) and serum chemistries were never the primary factor in detecting HD relapse. Radiographs accounted for greater than 60% of charges while laboratory studies and physician charges accounted for approximately 20% each. The projected charges (1994 dollars) of relapse detection by routine follow up Hx and PE was [dollar]10,600 compared with [dollar]68,200 for CXR, [dollar]141,800 for KUB and [dollar]156,400 for ESR. 10 year actuarial survival following salvage therapy was 65% overall, 65% for patients in whom

Enzyme-linked immunospot: an alternative method for the detection of interferon gamma in Johne's disease

DEFF Research Database (Denmark)

Begg, Douglas J.; de Silva, Kumudika; Bosward, Katrina

2009-01-01

To date, the sensitivity of the interferon gamma (IFN-) enzyme-linked immunosorbent assay (ELISA) to detect Johne's disease (JD) has been poor, especially in the early stages of disease. To improve the sensitivity of IFN- detection in the early stages of infection, an alternate assay needs to be ...

Clues for early detection of autoimmune Addison's disease - myths and realities.

Science.gov (United States)

Saevik, Å B; Åkerman, A-K; Grønning, K; Nermoen, I; Valland, S F; Finnes, T E; Isaksson, M; Dahlqvist, P; Bergthorsdottir, R; Ekwall, O; Skov, J; Nedrebø, B G; Hulting, A-L; Wahlberg, J; Svartberg, J; Höybye, C; Bleskestad, I H; Jørgensen, A P; Kämpe, O; Øksnes, M; Bensing, S; Husebye, E S

2018-02-01

Early detection of autoimmune Addison's disease (AAD) is important as delay in diagnosis may result in a life-threatening adrenal crisis and death. The classical clinical picture of untreated AAD is well-described, but methodical investigations are scarce. Perform a retrospective audit of patient records with the aim of identifying biochemical markers for early diagnosis of AAD. A multicentre retrospective study including 272 patients diagnosed with AAD at hospitals in Norway and Sweden during 1978-2016. Scrutiny of medical records provided patient data and laboratory values. Low sodium occurred in 207 of 247 (84%), but only one-third had elevated potassium. Other common nonendocrine tests were largely normal. TSH was elevated in 79 of 153 patients, and hypoglycaemia was found in 10%. Thirty-three per cent were diagnosed subsequent to adrenal crisis, in whom electrolyte disturbances were significantly more pronounced (P < 0.001). Serum cortisol was consistently decreased (median 62 nmol L -1 [1-668]) and significantly lower in individuals with adrenal crisis (38 nmol L -1 [2-442]) than in those without (81 nmol L -1 [1-668], P < 0.001). The most consistent biochemical finding of untreated AAD was low sodium independent of the degree of glucocorticoid deficiency. Half of the patients had elevated TSH levels. Only a minority presented with marked hyperkalaemia or other nonhormonal abnormalities. Thus, unexplained low sodium and/or elevated TSH should prompt consideration of an undiagnosed AAD, and on clinical suspicion bring about assay of cortisol and ACTH. Presence of 21-hydroxylase autoantibodies confirms autoimmune aetiology. Anticipating additional abnormalities in routine blood tests may delay diagnosis. © 2017 The Association for the Publication of the Journal of Internal Medicine.

Multianalyte Tests for the Early Detection of Cancer: Speedbumps and Barriers

Directory of Open Access Journals (Sweden)

Michael A. Tainsky

2007-01-01

Full Text Available It has become very clear that a single molecular event is inadequate to accurately predict the biology (or pathophysiology of cancer. Furthermore, using any single molecular event as a biomarker for the early detection of malignancy may not comprehensively identify the majority of individuals with that disease. Therefore, the fact that technologies have arisen that can simultaneously detect several, possibly hundreds, of biomarkers has propelled the field towards the development of multianalyte-based in vitro diagnostic early detection tests for cancer using body fl uids such as serum, plasma, sputum, saliva, or urine. These multianalyte tests may be based on the detection of serum autoantibodies to tumor antigens, the presence of cancer-related proteins in serum, or the presence of tumor-specific genomic changes that appear in plasma as free DNA. The implementation of non-invasive diagnostic approaches to detect early stage cancer may provide the physician with evidence of cancer, but the question arises as to how the information will affect the pathway of clinical intervention. The confirmation of a positive result from an in vitro diagnostic cancer test may involve relatively invasive procedures to establish a true cancer diagnosis. If in vitro diagnostic tests are proven to be both specific, i.e. rarely produce false positive results due to unrelated conditions, and sufficiently sensitive, i.e. rarely produce false negative results, then such screening tests offer the potential for early detection and personalized therapeutics using multiple disease-related targets with convenient and non-invasive means. Here we discuss the technical and regulatory barriers inherent in development of clinical multianalyte biomarker assays.

Growth monitoring as an early detection tool: a systematic review

NARCIS (Netherlands)

Scherdel, P.; Dunkel, L.; Dommelen, P. van; Goulet, O.; Salaün, J.F.; Brauner, R.; Heude, B.; Chalumeau, M.

2016-01-01

Growth monitoring of apparently healthy children aims at early detection of serious underlying disorders. However, existing growth-monitoring practices are mainly based on suboptimal methods, which can result in delayed diagnosis of severe diseases and inappropriate referrals. We did a systematic

Digitized Spiral Drawing: A Possible Biomarker for Early Parkinson's Disease.

Science.gov (United States)

San Luciano, Marta; Wang, Cuiling; Ortega, Roberto A; Yu, Qiping; Boschung, Sarah; Soto-Valencia, Jeannie; Bressman, Susan B; Lipton, Richard B; Pullman, Seth; Saunders-Pullman, Rachel

2016-01-01

Pre-clinical markers of Parkinson's Disease (PD) are needed, and to be relevant in pre-clinical disease, they should be quantifiably abnormal in early disease as well. Handwriting is impaired early in PD and can be evaluated using computerized analysis of drawn spirals, capturing kinematic, dynamic, and spatial abnormalities and calculating indices that quantify motor performance and disability. Digitized spiral drawing correlates with motor scores and may be more sensitive in detecting early changes than subjective ratings. However, whether changes in spiral drawing are abnormal compared with controls and whether changes are detected in early PD are unknown. 138 PD subjects (50 with early PD) and 150 controls drew spirals on a digitizing tablet, generating x, y, z (pressure) data-coordinates and time. Derived indices corresponded to overall spiral execution (severity), shape and kinematic irregularity (second order smoothness, first order zero-crossing), tightness, mean speed and variability of spiral width. Linear mixed effect adjusted models comparing these indices and cross-validation were performed. Receiver operating characteristic analysis was applied to examine discriminative validity of combined indices. All indices were significantly different between PD cases and controls, except for zero-crossing. A model using all indices had high discriminative validity (sensitivity = 0.86, specificity = 0.81). Discriminative validity was maintained in patients with early PD. Spiral analysis accurately discriminates subjects with PD and early PD from controls supporting a role as a promising quantitative biomarker. Further assessment is needed to determine whether spiral changes are PD specific compared with other disorders and if present in pre-clinical PD.

Power analysis to detect treatment effects in longitudinal clinical trials for Alzheimer's disease.

Science.gov (United States)

Huang, Zhiyue; Muniz-Terrera, Graciela; Tom, Brian D M

2017-09-01

Assessing cognitive and functional changes at the early stage of Alzheimer's disease (AD) and detecting treatment effects in clinical trials for early AD are challenging. Under the assumption that transformed versions of the Mini-Mental State Examination, the Clinical Dementia Rating Scale-Sum of Boxes, and the Alzheimer's Disease Assessment Scale-Cognitive Subscale tests'/components' scores are from a multivariate linear mixed-effects model, we calculated the sample sizes required to detect treatment effects on the annual rates of change in these three components in clinical trials for participants with mild cognitive impairment. Our results suggest that a large number of participants would be required to detect a clinically meaningful treatment effect in a population with preclinical or prodromal Alzheimer's disease. We found that the transformed Mini-Mental State Examination is more sensitive for detecting treatment effects in early AD than the transformed Clinical Dementia Rating Scale-Sum of Boxes and Alzheimer's Disease Assessment Scale-Cognitive Subscale. The use of optimal weights to construct powerful test statistics or sensitive composite scores/endpoints can reduce the required sample sizes needed for clinical trials. Consideration of the multivariate/joint distribution of components' scores rather than the distribution of a single composite score when designing clinical trials can lead to an increase in power and reduced sample sizes for detecting treatment effects in clinical trials for early AD.

REM Behaviour Disorder Detection Associated with Neurodegerative Diseases

DEFF Research Database (Denmark)

Kempfner, Jacob; Sørensen, Gertrud Laura; Zoetmulder, Marielle

2010-01-01

Abnormal skeleton muscle activity during REM sleep is characterized as REM Behaviour Disorder (RBD), and may be an early marker for different neurodegenerative diseases. Early detection of RBD is therefore highly important, and in this ongoing study a semi-automatic method for RBD detection...... is proposed by analyzing the motor activity during sleep. Method: A total number of twelve patients have been involved in this study, six normal controls and six patients diagnosed with Parkinsons Disease (PD) with RBD. All subjects underwent at least one ambulant polysomnographic (PSG) recording. The sleep...... recordings were scored, according to the new sleep-scoring standard from the American Academy of Sleep Medicine, by two independent sleep specialists. A follow-up analysis of the scoring consensus between the two specialists has been conducted. Based on the agreement of the two manual scorings...

Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood.

Science.gov (United States)

Zhang, Fan; Kaufman, Howard L; Deng, Youping; Drabier, Renee

2013-01-01

Breast cancer is worldwide the second most common type of cancer after lung cancer. Traditional mammography and Tissue Microarray has been studied for early cancer detection and cancer prediction. However, there is a need for more reliable diagnostic tools for early detection of breast cancer. This can be a challenge due to a number of factors and logistics. First, obtaining tissue biopsies can be difficult. Second, mammography may not detect small tumors, and is often unsatisfactory for younger women who typically have dense breast tissue. Lastly, breast cancer is not a single homogeneous disease but consists of multiple disease states, each arising from a distinct molecular mechanism and having a distinct clinical progression path which makes the disease difficult to detect and predict in early stages. In the paper, we present a Support Vector Machine based on Recursive Feature Elimination and Cross Validation (SVM-RFE-CV) algorithm for early detection of breast cancer in peripheral blood and show how to use SVM-RFE-CV to model the classification and prediction problem of early detection of breast cancer in peripheral blood.The training set which consists of 32 health and 33 cancer samples and the testing set consisting of 31 health and 34 cancer samples were randomly separated from a dataset of peripheral blood of breast cancer that is downloaded from Gene Express Omnibus. First, we identified the 42 differentially expressed biomarkers between "normal" and "cancer". Then, with the SVM-RFE-CV we extracted 15 biomarkers that yield zero cross validation score. Lastly, we compared the classification and prediction performance of SVM-RFE-CV with that of SVM and SVM Recursive Feature Elimination (SVM-RFE). We found that 1) the SVM-RFE-CV is suitable for analyzing noisy high-throughput microarray data, 2) it outperforms SVM-RFE in the robustness to noise and in the ability to recover informative features, and 3) it can improve the prediction performance (Area Under

Early detection of Freiberg's disease by radionuclide bone imaging

International Nuclear Information System (INIS)

Peng Jingjing

1993-01-01

56 hallux valgus deformities of 28 patients were studied with radionuclide bone imaging (RNBI). Among them, 24 feet(42.85%) revealed increased uptake of radioactivity in second or third metatarsal. The ratio of radioactivity in lesion and contralateral normal site (D/N) was increased, the difference between the patient and normal groups was significant (P<0.01). The histologic study showed that there have been degenerative changes and bone cell necrosis in increased uptake area. It was concluded that RNBI was more sensitive than X ray and can be used for the early diagnosis of Freiberg's Disease

Biomechanical and morphological multi-parameter photoacoustic endoscope for identification of early esophageal disease

Science.gov (United States)

Jin, Dayang; Yang, Fen; Chen, Zhongjiang; Yang, Sihua; Xing, Da

2017-09-01

The combination of phase-sensitive photoacoustic (PA) imaging of tissue viscoelasticity with the esophagus-adaptive PA endoscope (PAE) technique allows the characterization of the biomechanical and morphological changes in the early stage of esophageal disease with high accuracy. In this system, the tissue biomechanics and morphology are obtained by detecting the PA phase and PA amplitude information, respectively. The PAE has a transverse resolution of approximately 37 μm and an outer diameter of 1.2 mm, which is suitable for detecting rabbit esophagus. Here, an in-situ biomechanical and morphological study of normal and diseased rabbit esophagus (tumors of esophagus and reflux esophagitis) was performed. The in-situ findings were highly consistent with those observed by histology. In summary, we demonstrated the potential application of PAE for early clinical detection of esophageal diseases.

Early detection of neurodevelopment disorders in the first years of life in children with congenital heart diseases

Directory of Open Access Journals (Sweden)

Mª del Rosario Mendoza Carretero

2017-06-01

Full Text Available This study was carried out in order to report on existing morbidities in the development of children with congenital heart disease (CHD who underwent Extracorporeal Circulation (ECC surgery. The purpose of the study is also to design guidelines for the monitoring and early intervention of these conditions. A quantitative study (N=30, based on the following inclusion criteria: age, type of CHD and surgery by ECC, located in an age range of 11 to 42 months, was made. The motor, cognitive and language development was evaluated with help of the Scales of Infant and Toddler Development Bayley-III. The results highlight that the participants present morbidities in the communicative-linguistic and the motor areas. There are biomedical indicators (age in the maturational development. In order to normalize their development the children would need to participate in early intervention programs (EIP. The conclusion is that this population needs early intervention (EI and interdisciplinary protocols for detection, screening and intervention that, on this time, are not available.

Early Detection of Sporadic Pancreatic Cancer

Science.gov (United States)

Chari, Suresh T.; Kelly, Kimberly; Hollingsworth, Michael A.; Thayer, Sarah P.; Ahlquist, David A.; Andersen, Dana K.; Batra, Surinder K.; Brentnall, Teresa A.; Canto, Marcia; Cleeter, Deborah F.; Firpo, Matthew A.; Gambhir, Sanjiv Sam; Go, Vay Liang W.; Hines, O. Joe; Kenner, Barbara J.; Klimstra, David S.; Lerch, Markus M.; Levy, Michael J.; Maitra, Anirban; Mulvihill, Sean J.; Petersen, Gloria M.; Rhim, Andrew D.; Simeone, Diane M.; Srivastava, Sudhir; Tanaka, Masao; Vinik, Aaron I.; Wong, David

2015-01-01

Abstract Pancreatic cancer (PC) is estimated to become the second leading cause of cancer death in the United States by 2020. Early detection is the key to improving survival in PC. Addressing this urgent need, the Kenner Family Research Fund conducted the inaugural Early Detection of Sporadic Pancreatic Cancer Summit Conference in 2014 in conjunction with the 45th Anniversary Meeting of the American Pancreatic Association and Japan Pancreas Society. This seminal convening of international representatives from science, practice, and clinical research was designed to facilitate challenging interdisciplinary conversations to generate innovative ideas leading to the creation of a defined collaborative strategic pathway for the future of the field. An in-depth summary of current efforts in the field, analysis of gaps in specific areas of expertise, and challenges that exist in early detection is presented within distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. In addition, an overview of efforts in familial PC is presented in an addendum to this article. It is clear from the summit deliberations that only strategically designed collaboration among investigators, institutions, and funders will lead to significant progress in early detection of sporadic PC. PMID:25931254

A Virtual Bioinformatics Knowledge Environment for Early Cancer Detection

Science.gov (United States)

Crichton, Daniel; Srivastava, Sudhir; Johnsey, Donald

2003-01-01

Discovery of disease biomarkers for cancer is a leading focus of early detection. The National Cancer Institute created a network of collaborating institutions focused on the discovery and validation of cancer biomarkers called the Early Detection Research Network (EDRN). Informatics plays a key role in enabling a virtual knowledge environment that provides scientists real time access to distributed data sets located at research institutions across the nation. The distributed and heterogeneous nature of the collaboration makes data sharing across institutions very difficult. EDRN has developed a comprehensive informatics effort focused on developing a national infrastructure enabling seamless access, sharing and discovery of science data resources across all EDRN sites. This paper will discuss the EDRN knowledge system architecture, its objectives and its accomplishments.

Early detection of chronic obstructive pulmonary disease in apparently healthy attendants of tertiary care hospital and assessment of its severity

International Nuclear Information System (INIS)

Zubair, T.; Abbassi, A.; Khan, O. A.

2017-01-01

Objective: Early detection of Chronic Obstructive Pulmonary Disease in apparently healthy attendants of tertiary care hospital and assessment of its severity. Study Design: Cross-sectional, observational study. Place and Duration of Study: Study was conducted from January 2015 to July 2015 at Dow University Hospital, Ojha campus. Methodology: A screening method was designed for apparently healthy individuals including attendants of patients, hospital staff, faculty and students, belonging to age group 18-60 years after excluding severe obesity and already diagnosed respiratory and cardiovascular diseases by means of history. Each participant performed pulmonary function tests via spirometer after filling a questionnaire based on various risk factors and symptoms of chronic obstructive pulmonary disease (COPD). Data was entered and analysed by SPSS-20. Results: Out of the 517 participants, 122 (23.6%) were found to have COPD diagnosed by means of spirometry. Out of these, 23 (4.4%) had COPD stage I, 42 (8.1%) had COPD II, 34 (6.6%) had COPD III, and 23 (4.4%) had COPD IV. Exposure to smoking, wooden stoves, pesticides, biomass fuel, aerosol sprays, gas grill and vehicle exhaust were found to be statistically significant factors in relation to development of COPD. Conclusion: Apparently healthy individuals may have underlying COPD and active screening by means of spirometry plays vital role in early detection of COPD. Smoking and exposure to certain hazardous environmental pollutants are responsible for the development and progression of COPD. (author)

Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease

DEFF Research Database (Denmark)

Coupé, Pierrick; Eskildsen, Simon Fristed; Manjón, José V.

2012-01-01

Detection of Alzheimer's disease (AD) at the first stages of the pathology is an important task to accelerate the development of new therapies and improve treatment. Compared to AD detection, the prediction of AD using structural MRI at the mild cognitive impairment (MCI) or pre-MCI stage is more...

Early detection of fungi damage in citrus using NIR spectroscopy

Science.gov (United States)

Blasco, Jose; Ortiz, Coral; Sabater, Maria D.; Molto, Enrique

2000-12-01

Early detection of defects and diseases in fruit helps to correctly classify them and make more adequate decisions about the destination of the product: internal market, export or industry. An early fungi infection detection is especially important because a few infected fruits can disseminate the infection to a whole batch, causing great economic losses and affecting to further exports. Ensure products with excellent quality and absolute absence of fungi infections is particularly important in those batches for long conservation or to be exported. The main objective of this work is to detect the fungi infections before they can be visible. Near Infrared spectroscopy has been employed in this work, because it is a non-destructive technique and can be easily implemented on line due to the high speed and simplicity of the process.

Sleep Spindles as Biomarker for Early Detection of Neurodegenerative Disorders

DEFF Research Database (Denmark)

2015-01-01

The present invention relates to the use of sleep spindles as a novel biomarker for early diagnosis of synucleinopathies, in particular Parkinson's disease (PD). The method is based on automatic detection of sleep spindles. The method may be combined with measurements of one or more further...

Biomarkers for Early Detection of Malignant Mesothelioma: Diagnostic and Therapeutic Application

Energy Technology Data Exchange (ETDEWEB)

Tomasetti, Marco, E-mail: m.tomasetti@univpm.it; Santarelli, Lory [Department of Molecular Pathology and Innovative Therapies, Occupational Medicine, Polytechnic University of Marche, via Tronto 10/A Torrette 60020, Ancona (Italy)

2010-04-14

Malignant mesothelioma (MM) is a rare and aggressive tumour of the serosal cavities linked to asbestos exposure. Improved detection methods for diagnosing this type of neoplastic disease are essential for an early and reliable diagnosis and treatment. Thus, focus has been placed on finding tumour markers for the non-invasive detection of MM. Recently, some blood biomarkers have been described as potential indicators of early and advanced MM cancers. The identification of tumour biomarkers alone or in combination could greatly facilitate the surveillance procedure for cohorts of subjects exposed to asbestos, a common phenomenon in several areas of western countries.

77 FR 60703 - Breast and Cervical Cancer Early Detection and Control Advisory Committee: Notice of Charter Renewal

Science.gov (United States)

2012-10-04

... DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and Control Advisory Committee: Notice of Charter Renewal This gives notice... Cervical Cancer Early Detection and Control Advisory Committee, Department of Health and Human Services...

Contribution of scanner to early detection of pleuropulmonary manifestations of asbestosis and silicosis

International Nuclear Information System (INIS)

Champeix, J.; Gabrillargues, D.; Caillaud, D.; Catilina, P.; Catilina, M.J.; Chamoux, A.; Pignide, L.; Puvinel, B.

1989-01-01

The early detection of pleuropulmonary diseases in workers previously exposed to asbestos fibers or silica dusts is of importance. Current radiology often provides insufficient data. Can the CT-scan contribute to an early diagnosis. This technique was performed on both miners exposed to silicosis hazard and asbestos exposed workers [fr

Trends in brain oxygenation during mental and physical exercise measured using near-infrared spectroscopy (NIRS): potential for early detection of Alzheimer's disease

Science.gov (United States)

Allen, Monica S.; Allen, Jeffery W.; Mikkilineni, Shweta; Liu, Hanli

2005-04-01

Motivation: Early diagnosis of Alzheimer's disease (AD) is crucial because symptoms respond best to available treatments in the initial stages of the disease. Recent studies have shown that marked changes in brain oxygenation during mental and physical tasks can be used for noninvasive functional brain imaging to detect Alzheimer"s disease. The goal of our study is to explore the possibility of using near infrared spectroscopy (NIRS) and mapping (NIRM) as a diagnostic tool for AD before the onset of significant morphological changes in the brain. Methods: A 16-channel NIRS brain imager was used to noninvasively measure spatial and temporal changes in cerebral hemodynamics induced during verbal fluency task and physical activity. The experiments involved healthy subjects (n = 10) in the age range of 25+/-5 years. The NIRS signals were taken from the subjects' prefrontal cortex during the activities. Results and Conclusion: Trends of oxygenated and deoxygenated hemoglobin in the prefrontal cortex of the brain were observed. During the mental stimulation, the subjects showed significant increase in oxygenated hemoglobin [HbO2] with a simultaneous decrease in deoxygenated hemoglobin [Hb]. However, physical exercise caused a rise in levels of HbO2 with small variations in Hb. This study basically demonstrates that NIRM taken from the prefrontal cortex of the human brain is sensitive to both mental and physical tasks and holds potential to serve as a diagnostic means for early detection of Alzheimer's disease.

Dynamic MRI-based computer aided diagnostic systems for early detection of kidney transplant rejection: A survey

Science.gov (United States)

Mostapha, Mahmoud; Khalifa, Fahmi; Alansary, Amir; Soliman, Ahmed; Gimel'farb, Georgy; El-Baz, Ayman

2013-10-01

Early detection of renal transplant rejection is important to implement appropriate medical and immune therapy in patients with transplanted kidneys. In literature, a large number of computer-aided diagnostic (CAD) systems using different image modalities, such as ultrasound (US), magnetic resonance imaging (MRI), computed tomography (CT), and radionuclide imaging, have been proposed for early detection of kidney diseases. A typical CAD system for kidney diagnosis consists of a set of processing steps including: motion correction, segmentation of the kidney and/or its internal structures (e.g., cortex, medulla), construction of agent kinetic curves, functional parameter estimation, diagnosis, and assessment of the kidney status. In this paper, we survey the current state-of-the-art CAD systems that have been developed for kidney disease diagnosis using dynamic MRI. In addition, the paper addresses several challenges that researchers face in developing efficient, fast and reliable CAD systems for the early detection of kidney diseases.

Ethics dilemmas of early detection of obesity

DEFF Research Database (Denmark)

Vallgårda, Signild

2016-01-01

Aim: To discuss the ethics dilemmas of the early detection of overweight and obesity. Methods: Analysis of the ethical aspects of early detection. Results: The early detection of overweight and obesity entails a number of ethical dilemmas because it may both be helpful and harmful. It may help...

Confidence interval estimation of the difference between two sensitivities to the early disease stage.

Science.gov (United States)

Dong, Tuochuan; Kang, Le; Hutson, Alan; Xiong, Chengjie; Tian, Lili

2014-03-01

Although most of the statistical methods for diagnostic studies focus on disease processes with binary disease status, many diseases can be naturally classified into three ordinal diagnostic categories, that is normal, early stage, and fully diseased. For such diseases, the volume under the ROC surface (VUS) is the most commonly used index of diagnostic accuracy. Because the early disease stage is most likely the optimal time window for therapeutic intervention, the sensitivity to the early diseased stage has been suggested as another diagnostic measure. For the purpose of comparing the diagnostic abilities on early disease detection between two markers, it is of interest to estimate the confidence interval of the difference between sensitivities to the early diseased stage. In this paper, we present both parametric and non-parametric methods for this purpose. An extensive simulation study is carried out for a variety of settings for the purpose of evaluating and comparing the performance of the proposed methods. A real example of Alzheimer's disease (AD) is analyzed using the proposed approaches. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Value of mammography in the early detection of breast cancer

International Nuclear Information System (INIS)

Sabate, J.; Molina, L.; Jimenez, A.; Fernandez, E.

1997-01-01

Breast cancer is the most prevalent malignant tumor in women; the etiopathogenesis is unknown and it is associated with high rates of morbidity and mortality. In the fifties, different screening programs were developed for the early detection of breast cancer in the attempt to reduce the mortality attributed to this disease process. Mammography is one of the cornerstones of these programs because of its efficacy in the detection of subclinical tumors. We carried out a retrospective review of nine campaigns for the early detection of breast cancer, studying 11, 328 case reports; among these patients, there were 43 cases of breast cancer. Mammography was positive in 90.6% of these cases. Only in two patients did the image fail to reveal changes indicative of possible neoplasm; in both cases, the breasts involved were very dense. (Author) 26 refs

Early Detection of Foot-And-Mouth Disease Virus from Infected Cattle Using A Dry Filter Air Sampling System.

Science.gov (United States)

Pacheco, J M; Brito, B; Hartwig, E; Smoliga, G R; Perez, A; Arzt, J; Rodriguez, L L

2017-04-01

Foot-and-mouth disease (FMD) is a highly contagious livestock disease of high economic impact. Early detection of FMD virus (FMDV) is fundamental for rapid outbreak control. Air sampling collection has been demonstrated as a useful technique for detection of FMDV RNA in infected animals, related to the aerogenous nature of the virus. In the current study, air from rooms housing individual (n = 17) or two groups (n = 4) of cattle experimentally infected with FDMV A24 Cruzeiro of different virulence levels was sampled to assess the feasibility of applying air sampling as a non-invasive, screening tool to identify sources of FMDV infection. Detection of FMDV RNA in air was compared with first detection of clinical signs and FMDV RNA levels in serum and oral fluid. FMDV RNA was detected in room air samples 1-3 days prior (seven animals) or on the same day (four animals) as the appearance of clinical signs in 11 of 12 individually housed cattle. Only in one case clinical signs preceded detection in air samples by one day. Overall, viral RNA in oral fluid or serum preceded detection in air samples by 1-2 days. Six individually housed animals inoculated with attenuated strains did not show clinical signs, but virus was detected in air in one of these cases 3 days prior to first detection in oral fluid. In groups of four cattle housed together, air detection always preceded appearance of clinical signs by 1-2 days and coincided more often with viral shedding in oral fluid than virus in blood. These data confirm that air sampling is an effective non-invasive screening method for detecting FMDV infection in confined to enclosed spaces (e.g. auction barns, milking parlours). This technology could be a useful tool as part of a surveillance strategy during FMD prevention, control or eradication efforts. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

Applications of a single-molecule detection in early disease diagnosis and enzymatic reaction study

Energy Technology Data Exchange (ETDEWEB)

Li, Jiangwei [Iowa State Univ., Ames, IA (United States)

2008-01-01

polyclonal detector antibody. The capture antibody was covalently immobilized on modified glass slides. The detector antibody was conjugated with AF532 labeled secondary antibody prior to being used as probe for the antigen. Imaging was performed with a TIRF system. This technique is demonstrated for detecting HIV-1 p24 antigen down to 0.1 pg/mL with a dynamic range of over 4 orders of magnitude. A Langmuir isotherm fit the molecule count dependence on the target concentration. The results also showed that neither sensitivity nor dynamic range was affected by the biological matrix. SMISA is therefore a promising approach for the early diagnosis of virus-induced diseases. Single-molecule enzymatic kinetics and enantioselectivity were monitored in real time by using TIRF microscopy. AF532 labeled poly-L-lysine (PLL) or poly-D-lysine (PDL) was covalently immobilized on a dithiobis (succinimidyl undecanoate) self-assembled monolayer (DSU SAM). Chain shortening due to enzymatic hydrolysis resulted in the reduction of the individual fluorescence intensities. A broad distribution was obtained when 100 single-molecule half-lives were analyzed. However, the detailed hydrolysis process involved also a long-lived component and an induction period that varied significantly among molecules. Charge and steric heterogeneity at the surface are responsible for these features.

Early detection of tumor relapse/regrowth by consecutive minimal residual disease monitoring in high-risk neuroblastoma patients

Science.gov (United States)

Hirase, Satoshi; Saitoh, Atsuro; Hartomo, Tri Budi; Kozaki, Aiko; Yanai, Tomoko; Hasegawa, Daiichiro; Kawasaki, Keiichiro; Kosaka, Yoshiyuki; Matsuo, Masafumi; Yamamoto, Nobuyuki; Mori, Takeshi; Hayakawa, Akira; Iijima, Kazumoto; Nishio, Hisahide; Nishimura, Noriyuki

2016-01-01

Neuroblastoma is an aggressive pediatric tumor accounting for ~15% of cancer-associated mortalities in children. Despite the current intensive therapy, >50% of high-risk patients experience tumor relapse or regrowth caused by the activation of minimal residual disease (MRD). Although several MRD detection protocols using various reverse transcription-quantitative polymerase chain reaction (RT-qPCR) markers have been reported to evaluate the therapeutic response and disease status of neuroblastoma patients, their clinical significance remains elusive. The present study reports two high-risk neuroblastoma patients, whose MRD was consecutively monitored using 11 RT-qPCR markers (CHRNA3, CRMP1, DBH, DCX, DDC, GABRB3, GAP43, ISL1, KIF1A, PHOX2B and TH) during their course of treatment. The two patients initially responded to the induction therapy and reached MRD-negative status. The patients' MRD subsequently became positive with no elevation of their urinary homovanillic acid, urinary vanillylmandelic acid and serum neuron-specific enolase levels at 13 or 19 weeks prior to the clinical diagnosis of tumor relapse or regrowth. The present cases highlight the possibility of consecutive MRD monitoring using 11 markers to enable an early detection of tumor relapse or regrowth in high-risk neuroblastoma patients. PMID:27446404

A Simulation-Based Study on the Comparison of Statistical and Time Series Forecasting Methods for Early Detection of Infectious Disease Outbreaks.

Science.gov (United States)

Yang, Eunjoo; Park, Hyun Woo; Choi, Yeon Hwa; Kim, Jusim; Munkhdalai, Lkhagvadorj; Musa, Ibrahim; Ryu, Keun Ho

2018-05-11

Early detection of infectious disease outbreaks is one of the important and significant issues in syndromic surveillance systems. It helps to provide a rapid epidemiological response and reduce morbidity and mortality. In order to upgrade the current system at the Korea Centers for Disease Control and Prevention (KCDC), a comparative study of state-of-the-art techniques is required. We compared four different temporal outbreak detection algorithms: the CUmulative SUM (CUSUM), the Early Aberration Reporting System (EARS), the autoregressive integrated moving average (ARIMA), and the Holt-Winters algorithm. The comparison was performed based on not only 42 different time series generated taking into account trends, seasonality, and randomly occurring outbreaks, but also real-world daily and weekly data related to diarrhea infection. The algorithms were evaluated using different metrics. These were namely, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), F1 score, symmetric mean absolute percent error (sMAPE), root-mean-square error (RMSE), and mean absolute deviation (MAD). Although the comparison results showed better performance for the EARS C3 method with respect to the other algorithms, despite the characteristics of the underlying time series data, Holt⁻Winters showed better performance when the baseline frequency and the dispersion parameter values were both less than 1.5 and 2, respectively.

Case study of early detection and intervention of infectious disease outbreaks in an institution using Nursery School Absenteeism Surveillance Systems (NSASSy) of the Public Health Center.

Science.gov (United States)

Matsumoto, Kayo; Hirayama, Chifumi; Sakuma, Yoko; Itoi, Yoichi; Sunadori, Asami; Kitamura, Junko; Nakahashi, Takeshi; Sugawara, Tamie; Ohkusa, Yasushi

2016-01-01

Objectives Detecting outbreaks early and then activating countermeasures based on such information is extremely important for infection control at childcare facilities. The Sumida ward began operating the Nursery School Absenteeism Surveillance System (NSASSy) in August 2013, and has since conducted real-time monitoring at nursery schools. The Public Health Center can detect outbreaks early and support appropriate intervention. This paper describes the experiences of Sumida Public Health Center related to early detection and intervention since the initiation of the system.Methods In this study, we investigated infectious disease outbreaks detected at 62 nursery schools in the Sumida ward, which were equipped with NSASSy from early November 2013 through late March 2015. We classified the information sources of the detected outbreak and responses of the public health center. The sources were (1) direct contact from some nursery schools, (2) messages from public officers with jurisdiction over nursery schools, (3) automatic detection by NSASSy, and (4) manual detection by public health center officers using NSASSy. The responses made by the health center were described and classified into 11 categories including verification of outbreak and advice for caregivers.Results The number of outbreaks detected by the aforementioned four information sources was zero, 25, 15, and 7 events, respectively, during the first 5 months after beginning NSASSy. These numbers became 5, 7, 53, and 25 events, respectively, during the subsequent 12 months. The number of outbreaks detected increased by 47% during the first 5 months, and by 87% in the following 12 months. The responses were primarily confirming the situation and offering advice to caregivers.Conclusion The Sumida Public Health Center ward could achieve early detection with automatic or manual detection of NSASSy. This system recently has become an important detection resource, and has contributed greatly to early

Detection of plant leaf diseases using image segmentation and soft computing techniques

Directory of Open Access Journals (Sweden)

Vijai Singh

2017-03-01

Full Text Available Agricultural productivity is something on which economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is affected. For instance a disease named little leaf disease is a hazardous disease found in pine trees in United States. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases i.e. when they appear on plant leaves. This paper presents an algorithm for image segmentation technique which is used for automatic detection and classification of plant leaf diseases. It also covers survey on different diseases classification techniques that can be used for plant leaf disease detection. Image segmentation, which is an important aspect for disease detection in plant leaf disease, is done by using genetic algorithm.

Digitized Spiral Drawing: A Possible Biomarker for Early Parkinson’s Disease

Science.gov (United States)

San Luciano, Marta; Wang, Cuiling; Ortega, Roberto A.; Yu, Qiping; Boschung, Sarah; Soto-Valencia, Jeannie; Bressman, Susan B.; Lipton, Richard B.; Pullman, Seth; Saunders-Pullman, Rachel

2016-01-01

Introduction Pre-clinical markers of Parkinson’s Disease (PD) are needed, and to be relevant in pre-clinical disease, they should be quantifiably abnormal in early disease as well. Handwriting is impaired early in PD and can be evaluated using computerized analysis of drawn spirals, capturing kinematic, dynamic, and spatial abnormalities and calculating indices that quantify motor performance and disability. Digitized spiral drawing correlates with motor scores and may be more sensitive in detecting early changes than subjective ratings. However, whether changes in spiral drawing are abnormal compared with controls and whether changes are detected in early PD are unknown. Methods 138 PD subjects (50 with early PD) and 150 controls drew spirals on a digitizing tablet, generating x, y, z (pressure) data-coordinates and time. Derived indices corresponded to overall spiral execution (severity), shape and kinematic irregularity (second order smoothness, first order zero-crossing), tightness, mean speed and variability of spiral width. Linear mixed effect adjusted models comparing these indices and cross-validation were performed. Receiver operating characteristic analysis was applied to examine discriminative validity of combined indices. Results All indices were significantly different between PD cases and controls, except for zero-crossing. A model using all indices had high discriminative validity (sensitivity = 0.86, specificity = 0.81). Discriminative validity was maintained in patients with early PD. Conclusion Spiral analysis accurately discriminates subjects with PD and early PD from controls supporting a role as a promising quantitative biomarker. Further assessment is needed to determine whether spiral changes are PD specific compared with other disorders and if present in pre-clinical PD. PMID:27732597

Early detection of lung cancer using ultra-low-dose computed tomography in coronary CT angiography scans among patients with suspected coronary heart disease.

Science.gov (United States)

Zanon, Matheus; Pacini, Gabriel Sartori; de Souza, Vinicius Valério Silveiro; Marchiori, Edson; Meirelles, Gustavo Souza Portes; Szarf, Gilberto; Torres, Felipe Soares; Hochhegger, Bruno

2017-12-01

To assess whether an additional chest ultra-low-dose CT scan to the coronary CT angiography protocol can be used for lung cancer screening among patients with suspected coronary artery disease. 175 patients underwent coronary CT angiography for assessment of coronary artery disease, additionally undergoing ultra-low-dose CT screening to early diagnosis of lung cancer in the same scanner (80kVp and 15mAs). Patients presenting pulmonary nodules were followed-up for two years, repeating low-dose CTs in intervals of 3, 6, or 12 months based on nodule size and growth rate in accordance with National Comprehensive Cancer Network guidelines. Ultra-low-dose CT identified 71 patients with solitary pulmonary nodules (41%), with a mean diameter of 5.50±4.00mm. Twenty-eight were >6mm, and in 79% (n=22) of these cases they were false positive findings, further confirmed by follow-up (n=20), resection (n=1), or biopsy (n=1). Lung cancer was detected in six patients due to CT screening (diagnostic yield: 3%). Among these, four cases could not be detected in the cardiac field of view. Most patients were in early stages of the disease. Two patients diagnosed at advanced stages died due to cancer complications. The addition of the ultra-low-dose CT scan represented a radiation dose increment of 1.22±0.53% (effective dose, 0.11±0.03mSv). Lung cancer might be detected using additional ultra-low-dose protocols in coronary CT angiography scans among patients with suspected coronary artery disease. Copyright © 2017 Elsevier B.V. All rights reserved.

Breast cancer early detection via tracking of skin back-scattered secondary speckle patterns

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Bennett, Aviya; Sirkis, Talia; Beiderman, Yevgeny; Agdarov, Sergey; Beiderman, Yafim; Zalevsky, Zeev

2018-02-01

Breast cancer has become a major cause of death among women. The lifetime risk of a woman developing this disease has been established as one in eight. The most useful way to reduce breast cancer death is to treat the disease as early as possible. The existing methods of early diagnostics of breast cancer are mainly based on screening mammography or Magnetic Resonance Imaging (MRI) periodically conducted at medical facilities. In this paper the authors proposing a new approach for simple breast cancer detection. It is based on skin stimulation by sound waves, illuminating it by laser beam and tracking the reflected secondary speckle patterns. As first approach, plastic balls of different sizes were placed under the skin of chicken breast and detected by the proposed method.

Early Detection and Screening for Breast Cancer.

Science.gov (United States)

Coleman, Cathy

2017-05-01

To review the history, current status, and future trends related to breast cancer screening. Peer-reviewed articles, web sites, and textbooks. Breast cancer remains a complex, heterogeneous disease. Serial screening with mammography is the most effective method to detect early stage disease and decrease mortality. Although politics and economics may inhibit organized mammography screening programs in many countries, the judicious use of proficient clinical and self-breast examination can also identify small tumors leading to reduced morbidity. Oncology nurses have exciting opportunities to lead, facilitate, and advocate for delivery of high-quality screening services targeting individuals and communities. A practical approach is needed to translate the complexities and controversies surrounding breast cancer screening into improved care outcomes. Copyright © 2017 Elsevier Inc. All rights reserved.

Individual responsibility in early detection of prostate gland cancer

International Nuclear Information System (INIS)

Nodal Laugart, Ramon Lemay; Rodriguez Ardi, Maricel; Tamayo Tamayo, Iser

2011-01-01

Starting from the point that morbidity and mortality rate due to prostate gland cancer has increased in Santiago de Cuba, the authors of this work decided to analyze the relation to individual responsibility in order to early detect the aforementioned condition. Therefore, 48 men over 50 years old belonging to the health area of Frank Pais Garcia University Polyclinic in Santiago de Cuba were surveyed during the first months of the year 2011 to determine the factors that influenced on the low risk perception. Results showed the urgent need of carrying out actions of health promotion and disease prevention in order to achieve the individual feels more responsible of his health care. Of the case material, 85,4 % participants admitted they did not have the tests to guarantee the early diagnosis or detect this tumor.(author)

INFLAMMATORY BOWEL DISEASE WITH A VERY EARLY ONSET

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E. A. Kornienko

2016-01-01

Full Text Available Inflammatory bowel disease (Crohn's disease and ulcerative colitis has a tendency to manifest at earlier age. In childhood (< 6 years of age it has an especially severe course and is characterized by high grade inflammation, predominantly in the colon, by complication and extra-intestinal autoimmune injury. At younger age, Crohn's disease and ulcerative colitis require more aggressive treatment with frequently poor results. From genetic point of view, monogenic mutations controlling the immune response are characteristic for these diseases with an early onset; therefore, they are frequently associated with primary immunodeficiency. This implies various immunologic deficits, such as breakdown of the epithelial barrier, phagocytic dysfunction and dysfunction of Т and В lymphocytes and regulatory Т cells. Depending on this, a number of primary immunodeficiencies are identified associated with monogenic mutations of more than 50 genes. There some age-related specific features at manifestation. Thus, defects in interleukin 10 and FOXP3 manifest in the first months of life, whereas severe combined immunodeficiencies and phagocytosis defects become evident somewhat later. Virtually all 24 children with very early onset of inflammatory bowel disease, whom we examined, had immunologic defects and one child had a XIAP gene mutation. After identification of a specific immunologic defect, one can understand the mechanism of the disease and suspect one or another genetic defect with subsequent reasonable assessment of mutations in candidate genes. Detection of immunologic and genetic defects in children with a very early onset of inflammatory bowel disease allows for choosing an adequate strategy of non-conventional treatment that may differ depending on the mechanism of the disease.

A de novo whole gene deletion of XIAP detected by exome sequencing analysis in very early onset inflammatory bowel disease: a case report.

Science.gov (United States)

Kelsen, Judith R; Dawany, Noor; Martinez, Alejandro; Martinez, Alejuandro; Grochowski, Christopher M; Maurer, Kelly; Rappaport, Eric; Piccoli, David A; Baldassano, Robert N; Mamula, Petar; Sullivan, Kathleen E; Devoto, Marcella

2015-11-18

Children with very early-onset inflammatory bowel disease (VEO-IBD), those diagnosed at less than 5 years of age, are a unique population. A subset of these patients present with a distinct phenotype and more severe disease than older children and adults. Host genetics is thought to play a more prominent role in this young population, and monogenic defects in genes related to primary immunodeficiencies are responsible for the disease in a small subset of patients with VEO-IBD. We report a child who presented at 3 weeks of life with very early-onset inflammatory bowel disease (VEO-IBD). He had a complicated disease course and remained unresponsive to medical and surgical therapy. The refractory nature of his disease, together with his young age of presentation, prompted utilization of whole exome sequencing (WES) to detect an underlying monogenic primary immunodeficiency and potentially target therapy to the identified defect. Copy number variation analysis (CNV) was performed using the eXome-Hidden Markov Model. Whole exome sequencing revealed 1,380 nonsense and missense variants in the patient. Plausible candidate variants were not detected following analysis of filtered variants, therefore, we performed CNV analysis of the WES data, which led us to identify a de novo whole gene deletion in XIAP. This is the first reported whole gene deletion in XIAP, the causal gene responsible for XLP2 (X-linked lymphoproliferative Disease 2). XLP2 is a syndrome resulting in VEO-IBD and can increase susceptibility to hemophagocytic lymphohistocytosis (HLH). This identification allowed the patient to be referred for bone marrow transplantation, potentially curative for his disease and critical to prevent the catastrophic sequela of HLH. This illustrates the unique etiology of VEO-IBD, and the subsequent effects on therapeutic options. This cohort requires careful and thorough evaluation for monogenic defects and primary immunodeficiencies.

Scintigraphy for the detection of myocardial damage in the indeterminate form of Chagas disease

International Nuclear Information System (INIS)

Pedroso, Enio Roberto Pietra; Rezende, Nilton Alves de

2010-01-01

Background: non-invasive cardiological methods have been used for the identification of myocardial damage in Chagas disease. Objective: to verify whether the rest/stress myocardial perfusion scintigraphy is able to identify early myocardial damage in the indeterminate form of Chagas disease. Methods: eighteen patients with the indeterminate form of Chagas Disease and the same number of normal controls, paired by sex and age, underwent rest/stress myocardial scintigraphy using sestamibi-99mTc, aiming at detecting early cardiac damage. Results: the results did not show perfusion or ventricular function defects in patients at the indeterminate phase of Chagas disease and in the normal controls, except for a patient who presented signs of ventricular dysfunction in the myocardial perfusion scintigraphy with electrocardiographic gating. Conclusion: the results of this study, considering the small sample size, showed that the rest/stress myocardial scintigraphy using sestamibi-99mTc is not an effective method to detect early myocardial alterations in the indeterminate form of Chagas disease (author)

Scintigraphy for the detection of myocardial damage in the indeterminate form of Chagas disease

Energy Technology Data Exchange (ETDEWEB)

Pedroso, Enio Roberto Pietra; Rezende, Nilton Alves de, E-mail: narezende@terra.com.b [Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG (Brazil). Faculdade de Medicina; Abuhid, Ivana Moura [Instituto de Medicina Nuclear e Diagnostico Molecular, Belo Horizonte, MG (Brazil)

2010-07-15

Background: non-invasive cardiological methods have been used for the identification of myocardial damage in Chagas disease. Objective: to verify whether the rest/stress myocardial perfusion scintigraphy is able to identify early myocardial damage in the indeterminate form of Chagas disease. Methods: eighteen patients with the indeterminate form of Chagas Disease and the same number of normal controls, paired by sex and age, underwent rest/stress myocardial scintigraphy using sestamibi-99mTc, aiming at detecting early cardiac damage. Results: the results did not show perfusion or ventricular function defects in patients at the indeterminate phase of Chagas disease and in the normal controls, except for a patient who presented signs of ventricular dysfunction in the myocardial perfusion scintigraphy with electrocardiographic gating. Conclusion: the results of this study, considering the small sample size, showed that the rest/stress myocardial scintigraphy using sestamibi-99mTc is not an effective method to detect early myocardial alterations in the indeterminate form of Chagas disease (author)

Early Detection of Sporadic Pancreatic Cancer

Science.gov (United States)

Kenner, Barbara J.; Chari, Suresh T.; Cleeter, Deborah F.; Go, Vay Liang W.

2015-01-01

Abstract Innovation leading to significant advances in research and subsequent translation to clinical practice is urgently necessary in early detection of sporadic pancreatic cancer. Addressing this need, the Early Detection of Sporadic Pancreatic Cancer Summit Conference was conducted by Kenner Family Research Fund in conjunction with the 2014 American Pancreatic Association and Japan Pancreas Society Meeting. International interdisciplinary scientific representatives engaged in strategic facilitated conversations based on distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. Ideas generated from the summit have led to the development of a Strategic Map for Innovation built upon 3 components: formation of an international collaborative effort, design of an actionable strategic plan, and implementation of operational standards, research priorities, and first-phase initiatives. Through invested and committed efforts of leading researchers and institutions, philanthropic partners, government agencies, and supportive business entities, this endeavor will change the future of the field and consequently the survival rate of those diagnosed with pancreatic cancer. PMID:25938853

Infrared light sensor applied to early detection of tooth decay

Science.gov (United States)

Benjumea, Eberto; Espitia, José; Díaz, Leonardo; Torres, Cesar

2017-08-01

The approach dentistry to dental care is gradually shifting to a model focused on early detection and oral-disease prevention; one of the most important methods of prevention of tooth decay is opportune diagnosis of decay and reconstruction. The present study aimed to introduce a procedure for early diagnosis of tooth decay and to compare result of experiment of this method with other common treatments. In this setup, a laser emitting infrared light is injected in core of one bifurcated fiber-optic and conduced to tooth surface and with the same bifurcated fiber the radiation reflected for the same tooth is collected and them conduced to surface of sensor that measures thermal and light frequencies to detect early signs of decay below a tooth surface, where demineralization is difficult to spot with x-ray technology. This device will can be used to diagnose tooth decay without any chemicals and rays such as high power lasers or X-rays.

Assessment of Early Stage Non-Motor Symptoms in Parkinson’sDisease

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Haluk Gümüş

2013-09-01

Full Text Available OBJECTIVE: In this study, our purpose is, in the early stage of PD, examining the frequency of occurrence of non-motor symptoms and discussing the effects of morbidity of disease. METHODS: Selcuk University, Meram Faculty of Medicine, Neurology outpatient clinic in the study, which is followed by the United Kingdom Brain Bank criteria for Parkinson's Disease Parkinson's Disease diagnosis and clinical staging according to Hoehn Yahr stages 1 and 2 of the 80 patients were studied. RESULTS: Cases, an increase in UPDRS scores were significantly higher non-motor symptoms. CONCLUSION: Non-motor symptoms in Parkinson's disease can often go unnoticed. Symptomatic treatment is an important part of the success. Therefore, PH and the non-motor symptoms, early detection is important to treat them in accordance with

Early detection of COPD in primary care--the Copenhagen COPD Screening Project

DEFF Research Database (Denmark)

Lyngsø, Anne Marie; Backer, Vibeke; Gottlieb, Vibeke

2010-01-01

Chronic Obstructive Pulmonary Disease (COPD) is among the leading causes of death in the world, and further increases in the prevalence and mortality are predicted. Delay in diagnosing COPD appears frequently even though current consensus guidelines emphasize the importance of early detection...

Effectiveness and Cost Efficiency of Different Surveillance Components for Proving Freedom and Early Detection of Disease: Bluetongue Serotype 8 in Cattle as Case Study for Belgium, France and the Netherlands.

Science.gov (United States)

Welby, S; van Schaik, G; Veldhuis, A; Brouwer-Middelesch, H; Peroz, C; Santman-Berends, I M; Fourichon, C; Wever, P; Van der Stede, Y

2017-12-01

Quick detection and recovery of country's freedom status remain a constant challenge in animal health surveillance. The efficacy and cost efficiency of different surveillance components in proving the absence of infection or (early) detection of bluetongue serotype 8 in cattle populations within different countries (the Netherlands, France, Belgium) using surveillance data from years 2006 and 2007 were investigated using an adapted scenario tree model approach. First, surveillance components (sentinel, yearly cross-sectional and passive clinical reporting) within each country were evaluated in terms of efficacy for substantiating freedom of infection. Yearly cross-sectional survey and passive clinical reporting performed well within each country with sensitivity of detection values ranging around 0.99. The sentinel component had a sensitivity of detection around 0.7. Secondly, how effective the components were for (early) detection of bluetongue serotype 8 and whether syndromic surveillance on reproductive performance, milk production and mortality data available from the Netherlands and Belgium could be of added value were evaluated. Epidemic curves were used to estimate the timeliness of detection. Sensitivity analysis revealed that expected within-herd prevalence and number of herds processed were the most influential parameters for proving freedom and early detection. Looking at the assumed direct costs, although total costs were low for sentinel and passive clinical surveillance components, passive clinical surveillance together with syndromic surveillance (based on reproductive performance data) turned out most cost-efficient for the detection of bluetongue serotype 8. To conclude, for emerging or re-emerging vectorborne disease that behaves such as bluetongue serotype 8, it is recommended to use passive clinical and syndromic surveillance as early detection systems for maximum cost efficiency and sensitivity. Once an infection is detected and eradicated

Attention Measures of Accuracy, Variability, and Fatigue Detect Early Response to Donepezil in Alzheimer's Disease: A Randomized, Double-blind, Placebo-Controlled Pilot Trial.

Science.gov (United States)

Vila-Castelar, Clara; Ly, Jenny J; Kaplan, Lillian; Van Dyk, Kathleen; Berger, Jeffrey T; Macina, Lucy O; Stewart, Jennifer L; Foldi, Nancy S

2018-04-09

Donepezil is widely used to treat Alzheimer's disease (AD), but detecting early response remains challenging for clinicians. Acetylcholine is known to directly modulate attention, particularly under high cognitive conditions, but no studies to date test whether measures of attention under high load can detect early effects of donepezil. We hypothesized that load-dependent attention tasks are sensitive to short-term treatment effects of donepezil, while global and other domain-specific cognitive measures are not. This longitudinal, randomized, double-blind, placebo-controlled pilot trial (ClinicalTrials.gov Identifier: NCT03073876) evaluated 23 participants newly diagnosed with AD initiating de novo donepezil treatment (5 mg). After baseline assessment, participants were randomized into Drug (n = 12) or Placebo (n = 11) groups, and retested after approximately 6 weeks. Cognitive assessment included: (a) attention tasks (Foreperiod Effect, Attentional Blink, and Covert Orienting tasks) measuring processing speed, top-down accuracy, orienting, intra-individual variability, and fatigue; (b) global measures (Alzheimer's Disease Assessment Scale-Cognitive Subscale, Mini-Mental Status Examination, Dementia Rating Scale); and (c) domain-specific measures (memory, language, visuospatial, and executive function). The Drug but not the Placebo group showed benefits of treatment at high-load measures by preserving top-down accuracy, improving intra-individual variability, and averting fatigue. In contrast, other global or cognitive domain-specific measures could not detect treatment effects over the same treatment interval. The pilot-study suggests that attention measures targeting accuracy, variability, and fatigue under high-load conditions could be sensitive to short-term cholinergic treatment. Given the central role of acetylcholine in attentional function, load-dependent attentional measures may be valuable cognitive markers of early treatment response.

77 FR 71193 - Breast and Cervical Cancer Early Detection Federal Advisory Committee

Science.gov (United States)

2012-11-29

... DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention (CDC) Breast and Cervical Cancer Early Detection Federal Advisory Committee Correction: This notice was published in the Federal Register on November 5, 2012, Volume 77, Number 214, Page 66469. A teleconference line...

Rumination time around calving: an early signal to detect cows at greater risk of disease.

Science.gov (United States)

Calamari, L; Soriani, N; Panella, G; Petrera, F; Minuti, A; Trevisi, E

2014-01-01

The main objective of this experiment was to evaluate the use of rumination time (RT) during the peripartum period as a tool for early disease detection. The study was carried out in an experimental freestall barn and involved 23 Italian Friesian cows (9 primiparous and 14 multiparous). The RT was continuously recorded by using an automatic system (Hr-Tag, SCR Engineers Ltd., Netanya, Israel), and data were summarized in 2-h intervals. Blood samples were collected from 30 d before calving to 42 d in milk (DIM) to assess biochemical indicators related to energy, protein, and mineral metabolism, as well as markers of inflammation and some enzyme activities. The liver functionality index, which includes some negative acute-phase proteins and related parameters (albumin, cholesterol, and bilirubin), was used to evaluate the severity of inflammatory conditions occurring around calving. The cows were retrospectively categorized according to RT observed between 3 and 6 DIM into those with the lowest (L) and highest (H) RT. The average RT before calving (-20 to -2d) was 479 min/d (range 264 to 599), reached a minimum value at calving (30% of RT before calving), and was nearly stable after 15 DIM (on average 452 min/d). Milk yield in early lactation (on average 26.8 kg/d) was positively correlated with RT (r = 0.33). After calving, compared with H cows, the L cows had higher values of haptoglobin (0.61 and 0.34 g/L at 10 DIM in L and H, respectively) for a longer time, had a greater increase in total bilirubin (9.5 and 5.7 μmol/L at 5 DIM in L and H), had greater reductions of albumin (31.2 and 33.5 g/L at 10 DIM in L and H) and paraoxonase (54 and 76 U/ml at 10 DIM in L and H), and had a slower increase of total cholesterol (2.7 and 3.2 mmol/L at 20 DIM in L and H). Furthermore, a lower average value of liver functionality index was observed in L (-6.97) compared with H (-1.91) cows. These results suggest that severe inflammation around parturition is associated with a

Indices allowing early detection of chronic pulmonary emphysema

International Nuclear Information System (INIS)

Yamaguchi, Kazuhiro; Soejima, Kenzo; Koda, Eiichi; Mori, Masaaki; Matsubara, Hiroaki; Oguma, Tsuyoshi; Kawamura, Masahumi; Kobayashi, Koichi

1996-01-01

To establish criteria allowing early detection of pathologically significant alterations in pulmonary emphysema caused by smoking, pulmonary-function tests and high-resolution computed tomography were done in 104 subjects categorized into three groups: nonsmoking healthy adults, smokers with a normal FEV 1 %, and smokers with a low FEV 1 % (cross-sectional analysis). Fifty-six of the 104 patients underwent pulmonary-function testing and high-resolution computed tomography once per year for 3 years (longitudinal analysis). Cross-sectional and longitudinal analyses showed that abnormalities in functional residual capacity, in single-breath diffusing capacity for carbon monoxide, and in the average tomographic density of sections in the lower lung fields obtained after a deep inspiration could be used to predict whether the disease would reach an advanced stage, even if the patients had no significant symptoms at the time of testing. Relative areas of low-attenuation regions, which were alleged to directly reflect the size of emphysematous areas, appear not to be useful for early detection of pathological emphysema. (author)

Modified vegetation indices for Ganoderma disease detection in oil palm from field spectroradiometer data

Science.gov (United States)

Shafri, Helmi Z. M.; Anuar, M. Izzuddin; Saripan, M. Iqbal

2009-10-01

High resolution field spectroradiometers are important for spectral analysis and mobile inspection of vegetation disease. The biggest challenges in using this technology for automated vegetation disease detection are in spectral signatures pre-processing, band selection and generating reflectance indices to improve the ability of hyperspectral data for early detection of disease. In this paper, new indices for oil palm Ganoderma disease detection were generated using band ratio and different band combination techniques. Unsupervised clustering method was used to cluster the values of each class resultant from each index. The wellness of band combinations was assessed by using Optimum Index Factor (OIF) while cluster validation was executed using Average Silhouette Width (ASW). 11 modified reflectance indices were generated in this study and the indices were ranked according to the values of their ASW. These modified indices were also compared to several existing and new indices. The results showed that the combination of spectral values at 610.5nm and 738nm was the best for clustering the three classes of infection levels in the determination of the best spectral index for early detection of Ganoderma disease.

Technological Innovations in Magnetic Resonance for Early Detection of Cardiovascular Diseases.

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Santarelli, Maria F; Positano, Vincenzo; Martini, Nicola; Valvano, Giuseppe; Landini, Luigi

2016-01-01

Most recent technical innovations in cardiovascular MR imaging (CMRI) are presented in this review. They include hardware and software developments, and novelties in parametric mapping. All these recent improvements lead to high spatial and temporal resolution and quantitative information on the heart structure and function. They make it achievable ambitious goals in the field of magnetic resonance, such as the early detection of cardiovascular pathologies. In this review article, we present recent innovations in CMRI, emphasizing the progresses performed and the solutions proposed to some yet opened technical problems.

Nanotechnology for Early Cancer Detection

Directory of Open Access Journals (Sweden)

Joon Won Park

2010-01-01

Full Text Available Vast numbers of studies and developments in the nanotechnology area have been conducted and many nanomaterials have been utilized to detect cancers at early stages. Nanomaterials have unique physical, optical and electrical properties that have proven to be very useful in sensing. Quantum dots, gold nanoparticles, magnetic nanoparticles, carbon nanotubes, gold nanowires and many other materials have been developed over the years, alongside the discovery of a wide range of biomarkers to lower the detection limit of cancer biomarkers. Proteins, antibody fragments, DNA fragments, and RNA fragments are the base of cancer biomarkers and have been used as targets in cancer detection and monitoring. It is highly anticipated that in the near future, we might be able to detect cancer at a very early stage, providing a much higher chance of treatment.

Detection of Potato Storage Disease via Gas Analysis: A Pilot Study Using Field Asymmetric Ion Mobility Spectrometry

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Massimo Rutolo

2014-08-01

Full Text Available Soft rot is a commonly occurring potato tuber disease that each year causes substantial losses to the food industry. Here, we explore the possibility of early detection of the disease via gas/vapor analysis, in a laboratory environment, using a recent technology known as FAIMS (Field Asymmetric Ion Mobility Spectrometry. In this work, tubers were inoculated with a bacterium causing the infection, Pectobacterium carotovorum, and stored within set environmental conditions in order to manage disease progression. They were compared with controls stored in the same conditions. Three different inoculation time courses were employed in order to obtain diseased potatoes showing clear signs of advanced infection (for standard detection and diseased potatoes with no apparent evidence of infection (for early detection. A total of 156 samples were processed by PCA (Principal Component Analysis and k-means clustering. Results show a clear discrimination between controls and diseased potatoes for all experiments with no difference among observations from standard and early detection. Further analysis was carried out by means of a statistical model based on LDA (Linear Discriminant Analysis that showed a high classification accuracy of 92.1% on the test set, obtained via a LOOCV (leave-one out cross-validation.

A Policy Analysis on the Proactive Prevention of Chronic Disease: Learnings from the Initial Implementation of Integrated Measurement for Early Detection (MIDO

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Roberto Tapia-Conyer

2017-06-01

Full Text Available Mexico, like many low- and middle-income countries (LMICs, faces an epidemic of chronic non-communicable diseases (NCDs, specifically diabetes, hypertension, obesity, and lipid disorders. Many people with these NCDs may not be aware that they have a disease, pointing to the need for broader screening programs. The traditional prevention policy in Mexico was based on screening with a paper-based risk factor questionnaire. However, this was used to screen patients already seeking healthcare services at facilities, and screening goals were set as a function of the number of questionnaires applied, not number of individuals screened. Due to this, Fundación Carlos Slim developed Medición Integrada para la Detección Oportuna (MIDOTM, or Integrated Measurement for Early Detection, an NCD screening and proactive prevention policy. This document is a policy analysis based on early learnings from the initial implementation of MIDO in eight primary healthcare centers in two central Mexican states. MIDO was found to expand screening programs beyond clinic walls, systematize community screening strategies, emphasize the detection of pre-disease phases, incorporate lifestyle counseling, and propose screening goals based on population targets. In collaboration with the Mexican Ministry of Health, MIDO has successfully screened over 500 000 individuals—about 40% of whom would not have been screened under previous policies. Of these more than 500 000 screened individuals, 13.4% had pre-diabetes (fasting glucose between 100 and 125 mg/dL, and 5.8% had undiagnosed diabetes (defined as fasting glucose above 126 mg/dL or random glucose above 200 mg/dL. However, there is still room for improvement in linking positive results from screening with disease confirmation and with patient incorporation into disease management. The experience of implementing MIDO in Mexico suggests that primary and secondary prevention programs in other parts of the world should

Fungal disease detection in plants: Traditional assays, novel diagnostic techniques and biosensors.

Science.gov (United States)

Ray, Monalisa; Ray, Asit; Dash, Swagatika; Mishra, Abtar; Achary, K Gopinath; Nayak, Sanghamitra; Singh, Shikha

2017-01-15

Fungal diseases in commercially important plants results in a significant reduction in both quality and yield, often leading to the loss of an entire plant. In order to minimize the losses, it is essential to detect and identify the pathogens at an early stage. Early detection and accurate identification of pathogens can control the spread of infection. The present article provides a comprehensive overview of conventional methods, current trends and advances in fungal pathogen detection with an emphasis on biosensors. Traditional techniques are the "gold standard" in fungal detection which relies on symptoms, culture-based, morphological observation and biochemical identifications. In recent times, with the advancement of biotechnology, molecular and immunological approaches have revolutionized fungal disease detection. But the drawback lies in the fact that these methods require specific and expensive equipments. Thus, there is an urgent need for rapid, reliable, sensitive, cost effective and easy to use diagnostic methods for fungal pathogen detection. Biosensors would become a promising and attractive alternative, but they still have to be subjected to some modifications, improvements and proper validation for on-field use. Copyright © 2016 Elsevier B.V. All rights reserved.

Multi-disciplinary team for early gastric cancer diagnosis improves the detection rate of early gastric cancer.

Science.gov (United States)

Di, Lianjun; Wu, Huichao; Zhu, Rong; Li, Youfeng; Wu, Xinglong; Xie, Rui; Li, Hongping; Wang, Haibo; Zhang, Hua; Xiao, Hong; Chen, Hui; Zhen, Hong; Zhao, Kui; Yang, Xuefeng; Xie, Ming; Tuo, Bigung

2017-12-06

Gastric cancer is a frequent malignant tumor worldwide and its early detection is crucial for curing the disease and enhancing patients' survival rate. This study aimed to assess whether the multi-disciplinary team (MDT) can improve the detection rate of early gastric cancer (EGC). The detection rate of EGC at the Digestive Endoscopy Center, Affiliated Hospital, Zunyi Medical College, China between September 2013 and September 2015 was analyzed. MDT for the diagnosis of EGC in the hospital was established in September 2014. The study was divided into 2 time periods: September 1, 2013 to August 31, 2014 (period 1) and September 1, 2014 to September 1, 2015 (period 2). A total of 60,800 patients' gastroscopies were performed during the two years. 61 of these patients (0.1%) were diagnosed as EGC, accounting for 16.44% (61/371) of total patients with gastric cancer. The EGC detection rate before MDT (period 1) was 0.05% (16/29403), accounting for 9.09% (16/176) of total patients with gastric cancer during this period. In comparison, the EGC detection rate during MDT (period 2) was 0.15% (45/31397), accounting for 23% (45/195) of total patients with gastric cancer during this period (P cooperation with Department of Pathology (OR = 10.1, 95% CI 2.39-43.3, P < 0.05). MDT could improve the endoscopic detection rate of EGC.

Optimal sampling strategies for detecting zoonotic disease epidemics.

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Jake M Ferguson

2014-06-01

Full Text Available The early detection of disease epidemics reduces the chance of successful introductions into new locales, minimizes the number of infections, and reduces the financial impact. We develop a framework to determine the optimal sampling strategy for disease detection in zoonotic host-vector epidemiological systems when a disease goes from below detectable levels to an epidemic. We find that if the time of disease introduction is known then the optimal sampling strategy can switch abruptly between sampling only from the vector population to sampling only from the host population. We also construct time-independent optimal sampling strategies when conducting periodic sampling that can involve sampling both the host and the vector populations simultaneously. Both time-dependent and -independent solutions can be useful for sampling design, depending on whether the time of introduction of the disease is known or not. We illustrate the approach with West Nile virus, a globally-spreading zoonotic arbovirus. Though our analytical results are based on a linearization of the dynamical systems, the sampling rules appear robust over a wide range of parameter space when compared to nonlinear simulation models. Our results suggest some simple rules that can be used by practitioners when developing surveillance programs. These rules require knowledge of transition rates between epidemiological compartments, which population was initially infected, and of the cost per sample for serological tests.

Optimal sampling strategies for detecting zoonotic disease epidemics.

Science.gov (United States)

Ferguson, Jake M; Langebrake, Jessica B; Cannataro, Vincent L; Garcia, Andres J; Hamman, Elizabeth A; Martcheva, Maia; Osenberg, Craig W

2014-06-01

The early detection of disease epidemics reduces the chance of successful introductions into new locales, minimizes the number of infections, and reduces the financial impact. We develop a framework to determine the optimal sampling strategy for disease detection in zoonotic host-vector epidemiological systems when a disease goes from below detectable levels to an epidemic. We find that if the time of disease introduction is known then the optimal sampling strategy can switch abruptly between sampling only from the vector population to sampling only from the host population. We also construct time-independent optimal sampling strategies when conducting periodic sampling that can involve sampling both the host and the vector populations simultaneously. Both time-dependent and -independent solutions can be useful for sampling design, depending on whether the time of introduction of the disease is known or not. We illustrate the approach with West Nile virus, a globally-spreading zoonotic arbovirus. Though our analytical results are based on a linearization of the dynamical systems, the sampling rules appear robust over a wide range of parameter space when compared to nonlinear simulation models. Our results suggest some simple rules that can be used by practitioners when developing surveillance programs. These rules require knowledge of transition rates between epidemiological compartments, which population was initially infected, and of the cost per sample for serological tests.

First experience of simultaneous PET/MRI for the early detection of cardiac involvement in patients with Anderson-Fabry disease

Energy Technology Data Exchange (ETDEWEB)

Nappi, Carmela; Altiero, Michele; Imbriaco, Massimo; Giudice, Caterina Anna; Spinelli, Letizia; Cuocolo, Alberto [University Federico II, Department of Advanced Biomedical Sciences, Naples (Italy); Nicolai, Emanuele; Aiello, Marco; Diomiaiuti, Claudio Tommaso [IRCCS SDN, Naples (Italy); Pisani, Antonio [University Federico II, Department of Public Health, Naples (Italy)

2015-03-26

Anderson-Fabry disease (AFD) is an X-linked lysosomal storage disorder associated with severe multiorgan dysfunction and premature death. Early diagnosis and treatment strategies play a key role in patient outcome. We investigated the potential role of hybrid PET/MR imaging in the assessment of early cardiac involvement in AFD patients. Thirteen AFD patients without cardiac symptoms and with normal left ventricular function underwent simultaneous cardiac PET/MR imaging after administration of {sup 18}F-FDG. Cardiac FDG uptake was quantified by measuring the standardized uptake value in 17 myocardial segments in each subject. The coefficient of variation (COV, i.e. the standard deviation divided by the average) of the uptake of the 17 segments was calculated as an index of heterogeneity in the heart. Six patients exhibited focal late gadolinium enhancement (LGE) indicating intramyocardial fibrosis, and four of these also had positive short inversion time inversion recovery (STIR) sequences. All patients with LGE and positive STIR MR images showed focal FDG uptake in the corresponding myocardial segments indicating inflammation. Of the seven patients with negative LGE and STIR images, five showed homogeneous FDG cardiac uptake and two showed heterogeneous FDG uptake. The COV was significantly greater in patients with focal FDG uptake (0.25 ± 0.02) than in those without (0.14 ± 0.07, p < 0.01). PET/MR imaging is clinically feasible for the early detection of cardiac involvement in patients with AFD. Further studies evaluating the role of hybrid PET/MR imaging in management of the disease in larger patient populations are warranted. (orig.)

First experience of simultaneous PET/MRI for the early detection of cardiac involvement in patients with Anderson-Fabry disease

International Nuclear Information System (INIS)

Nappi, Carmela; Altiero, Michele; Imbriaco, Massimo; Giudice, Caterina Anna; Spinelli, Letizia; Cuocolo, Alberto; Nicolai, Emanuele; Aiello, Marco; Diomiaiuti, Claudio Tommaso; Pisani, Antonio

2015-01-01

Anderson-Fabry disease (AFD) is an X-linked lysosomal storage disorder associated with severe multiorgan dysfunction and premature death. Early diagnosis and treatment strategies play a key role in patient outcome. We investigated the potential role of hybrid PET/MR imaging in the assessment of early cardiac involvement in AFD patients. Thirteen AFD patients without cardiac symptoms and with normal left ventricular function underwent simultaneous cardiac PET/MR imaging after administration of 18 F-FDG. Cardiac FDG uptake was quantified by measuring the standardized uptake value in 17 myocardial segments in each subject. The coefficient of variation (COV, i.e. the standard deviation divided by the average) of the uptake of the 17 segments was calculated as an index of heterogeneity in the heart. Six patients exhibited focal late gadolinium enhancement (LGE) indicating intramyocardial fibrosis, and four of these also had positive short inversion time inversion recovery (STIR) sequences. All patients with LGE and positive STIR MR images showed focal FDG uptake in the corresponding myocardial segments indicating inflammation. Of the seven patients with negative LGE and STIR images, five showed homogeneous FDG cardiac uptake and two showed heterogeneous FDG uptake. The COV was significantly greater in patients with focal FDG uptake (0.25 ± 0.02) than in those without (0.14 ± 0.07, p < 0.01). PET/MR imaging is clinically feasible for the early detection of cardiac involvement in patients with AFD. Further studies evaluating the role of hybrid PET/MR imaging in management of the disease in larger patient populations are warranted. (orig.)

Early detection of COPD in general practice

DEFF Research Database (Denmark)

Dahl, Ronald; Ulrik, Charlotte Suppli; Løkke, Anders

2011-01-01

Early detection enables the possibility for interventions to reduce the future burden of COPD. The Danish National Board of Health recommends that individuals >35 years with tobacco/occupational exposure, and at least 1 respiratory symptom should be offered a spirometry to facilitate early detect...

A sensitive detection assay based on signal amplification technology for Alzheimer's disease's early biomarker in exosome.

Science.gov (United States)

Zhou, Jie; Meng, Lingchang; Ye, Weiran; Wang, Qiaolei; Geng, Shizhen; Sun, Chong

2018-08-31

Alzheimer's disease (AD) considered as the third health "killer" has seriously threatened the health of the elderly. However, the modern diagnostic strategies of AD present several disadvantages: the low accuracy and specificity resulting in some false-negative diagnoses, and the poor sensitivity leading to a delayed treatment. In view of this situation, a enzyme-free and target-triggered signal amplification strategy, based on graphene oxide (GO) and entropy-driven strand displacement reaction (ESDR) principle, was proposed. In this strategy, when the hairpin structure probes (H)specially binds with beta-amyloid-(1-42) oligomers (Aβ42 oligomers), it's structure will be opened, causing the bases complementary to FAM-labeled replacement probes R (R1 and R2) exposed. At this time, R1 and R2 will hybridize with H, resulting in the bound Aβ42 oligomers released. The released Aβ42 oligomers would participate in the next cycle reaction, making the signal amplified. As a quencher, GO could absorb the free single-stranded DNA R1 and R2 and quench their fluorescence; however, the DNA duplex still exists free and keeps its signal-on. Through the detection of Aβ42 oligomers in exosomes, this ultrasensitive detection method with the advantages of low limit of detection (LOD, 20 pM), great accuracy, excellent precision and convenience provides an excellent prospect for AD's early diagnosis. Copyright © 2018 Elsevier B.V. All rights reserved.

Improved Motion Estimation Using Early Zero-Block Detection

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Y. Lin

2008-07-01

Full Text Available We incorporate the early zero-block detection technique into the UMHexagonS algorithm, which has already been adopted in H.264/AVC JM reference software, to speed up the motion estimation process. A nearly sufficient condition is derived for early zero-block detection. Although the conventional early zero-block detection method can achieve significant improvement in computation reduction, the PSNR loss, to whatever extent, is not negligible especially for high quantization parameter (QP or low bit-rate coding. This paper modifies the UMHexagonS algorithm with the early zero-block detection technique to improve its coding performance. The experimental results reveal that the improved UMHexagonS algorithm greatly reduces computation while maintaining very high coding efficiency.

DNA-Based Nanobiosensors as an Emerging Platform for Detection of Disease

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Khalid M. Abu-Salah

2015-06-01

Full Text Available Detection of disease at an early stage is one of the biggest challenges in medicine. Different disciplines of science are working together in this regard. The goal of nanodiagnostics is to provide more accurate tools for earlier diagnosis, to reduce cost and to simplify healthcare delivery of effective and personalized medicine, especially with regard to chronic diseases (e.g., diabetes and cardiovascular diseases that have high healthcare costs. Up-to-date results suggest that DNA-based nanobiosensors could be used effectively to provide simple, fast, cost-effective, sensitive and specific detection of some genetic, cancer, and infectious diseases. In addition, they could potentially be used as a platform to detect immunodeficiency, and neurological and other diseases. This review examines different types of DNA-based nanobiosensors, the basic principles upon which they are based and their advantages and potential in diagnosis of acute and chronic diseases. We discuss recent trends and applications of new strategies for DNA-based nanobiosensors, and emphasize the challenges in translating basic research to the clinical laboratory.

Laser Raman detection of platelets for early and differential diagnosis of Alzheimer’s disease based on an adaptive Gaussian process classification algorithm

International Nuclear Information System (INIS)

Luo, Yusheng; Du, Z W; Yang, Y J; Chen, P; Wang, X H; Cheng, Y; Peng, J; Shen, A G; Hu, J M; Tian, Q; Shang, X L; Liu, Z C; Yao, X Q; Wang, J Z

2013-01-01

Early and differential diagnosis of Alzheimer’s disease (AD) has puzzled many clinicians. In this work, laser Raman spectroscopy (LRS) was developed to diagnose AD from platelet samples from AD transgenic mice and non-transgenic controls of different ages. An adaptive Gaussian process (GP) classification algorithm was used to re-establish the classification models of early AD, advanced AD and the control group with just two features and the capacity for noise reduction. Compared with the previous multilayer perceptron network method, the GP showed much better classification performance with the same feature set. Besides, spectra of platelets isolated from AD and Parkinson’s disease (PD) mice were also discriminated. Spectral data from 4 month AD (n = 39) and 12 month AD (n = 104) platelets, as well as control data (n = 135), were collected. Prospective application of the algorithm to the data set resulted in a sensitivity of 80%, a specificity of about 100% and a Matthews correlation coefficient of 0.81. Samples from PD (n = 120) platelets were also collected for differentiation from 12 month AD. The results suggest that platelet LRS detection analysis with the GP appears to be an easier and more accurate method than current ones for early and differential diagnosis of AD. (paper)

Improved Detection of Microsatellite Instability in Early Colorectal Lesions.

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Jeffery W Bacher

Full Text Available Microsatellite instability (MSI occurs in over 90% of Lynch syndrome cancers and is considered a hallmark of the disease. MSI is an early event in colon tumor development, but screening polyps for MSI remains controversial because of reduced sensitivity compared to more advanced neoplasms. To increase sensitivity, we investigated the use of a novel type of marker consisting of long mononucleotide repeat (LMR tracts. Adenomas from 160 patients, ranging in age from 29-55 years old, were screened for MSI using the new markers and compared with current marker panels and immunohistochemistry standards. Overall, 15 tumors were scored as MSI-High using the LMRs compared to 9 for the NCI panel and 8 for the MSI Analysis System (Promega. This difference represents at least a 1.7-fold increase in detection of MSI-High lesions over currently available markers. Moreover, the number of MSI-positive markers per sample and the size of allelic changes were significantly greater with the LMRs (p = 0.001, which increased confidence in MSI classification. The overall sensitivity and specificity of the LMR panel for detection of mismatch repair deficient lesions were 100% and 96%, respectively. In comparison, the sensitivity and specificity of the MSI Analysis System were 67% and 100%; and for the NCI panel, 75% and 97%. The difference in sensitivity between the LMR panel and the other panels was statistically significant (p<0.001. The increased sensitivity for detection of MSI-High phenotype in early colorectal lesions with the new LMR markers indicates that MSI screening for the early detection of Lynch syndrome might be feasible.

FluBreaks: early epidemic detection from Google flu trends.

Science.gov (United States)

Pervaiz, Fahad; Pervaiz, Mansoor; Abdur Rehman, Nabeel; Saif, Umar

2012-10-04

The Google Flu Trends service was launched in 2008 to track changes in the volume of online search queries related to flu-like symptoms. Over the last few years, the trend data produced by this service has shown a consistent relationship with the actual number of flu reports collected by the US Centers for Disease Control and Prevention (CDC), often identifying increases in flu cases weeks in advance of CDC records. However, contrary to popular belief, Google Flu Trends is not an early epidemic detection system. Instead, it is designed as a baseline indicator of the trend, or changes, in the number of disease cases. To evaluate whether these trends can be used as a basis for an early warning system for epidemics. We present the first detailed algorithmic analysis of how Google Flu Trends can be used as a basis for building a fully automated system for early warning of epidemics in advance of methods used by the CDC. Based on our work, we present a novel early epidemic detection system, called FluBreaks (dritte.org/flubreaks), based on Google Flu Trends data. We compared the accuracy and practicality of three types of algorithms: normal distribution algorithms, Poisson distribution algorithms, and negative binomial distribution algorithms. We explored the relative merits of these methods, and related our findings to changes in Internet penetration and population size for the regions in Google Flu Trends providing data. Across our performance metrics of percentage true-positives (RTP), percentage false-positives (RFP), percentage overlap (OT), and percentage early alarms (EA), Poisson- and negative binomial-based algorithms performed better in all except RFP. Poisson-based algorithms had average values of 99%, 28%, 71%, and 76% for RTP, RFP, OT, and EA, respectively, whereas negative binomial-based algorithms had average values of 97.8%, 17.8%, 60%, and 55% for RTP, RFP, OT, and EA, respectively. Moreover, the EA was also affected by the region's population size

Early detection and prevention of diabetic nephropathy: a challenge calling for mandatory action for Mexico and the developing world.

Science.gov (United States)

Correa-Rotter, Ricardo; González-Michaca, Luis

2005-09-01

During the last decades, developing countries have experienced an epidemiologic transition characterized by a reduction of infectious diseases and an increase of chronic degenerative diseases. This situation is generating tormenting public health, financial, and social consequences. Of particular relevance is type 2 diabetes mellitus and its chronic complications, particularly cardiovascular disease and diabetic nephropathy, because mortality of the patient with diabetes is, in most instances, related to these complications. There is a clear need to implement diagnostic and treatment strategies to reduce risk factors for development of diabetes (primary prevention), to detect risk factors of chronic complications in early stages of diabetes (secondary prevention), and to prevent further progression of those that already have renal injury (tertiary prevention). Microalbuminuria is an early marker of renal injury in diabetes, and its early detection can help the timely use of renal preventive measures, which would avoid the extremely high costs of renal replacement treatment for end-stage renal disease as well as that of other cardiovascular complications. Preventive strategies are of very little or no impact, if the primary physician has limited knowledge about the natural history of diabetic nephropathy, the beneficial effect of early preventive maneuvers for delaying its progression, and the social and economic impact of end-stage renal disease. It is therefore imperative to assure in our health systems that general practitioners have the ability and commitment to detect early diabetes complications, in order to promote actions that support regression or retard highly morbid cardiovascular and renal conditions.

Multiparametric MRI of the prostate. Method for early detection of prostate cancer?

International Nuclear Information System (INIS)

Schlemmer, Heinz-Peter

2010-01-01

Current approaches for the early detection of prostate cancer are controversially discussed because the disease is characterized by a high incidence rate with a relatively low morbidity rate, availability of only limited prognostic markers, and continued therapy-related morbidity. Conventional morphological MRI does not play a role in early detection since small tumor foci cannot be delineated. However, if there is clinical suspicion for prostate cancer, multiparametric MRI is currently the most accurate method for detecting and characterizing suspicious lesions in the prostate. The potential to identify the so-called 'index lesion', i.e., the tumor area that is most aggressive and determines treatment, is particularly important. This information can increase the accuracy of prostate biopsy and serve as a biomarker for follow-up during active surveillance. The method may considerably contribute to the urgently required separation of clinically significant from clinically insignificant prostate cancers. (orig.)

Role of EEG as Biomarker in the Early Detection and Classification of Dementia

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Noor Kamal Al-Qazzaz

2014-01-01

Full Text Available The early detection and classification of dementia are important clinical support tasks for medical practitioners in customizing patient treatment programs to better manage the development and progression of these diseases. Efforts are being made to diagnose these neurodegenerative disorders in the early stages. Indeed, early diagnosis helps patients to obtain the maximum treatment benefit before significant mental decline occurs. The use of electroencephalogram as a tool for the detection of changes in brain activities and clinical diagnosis is becoming increasingly popular for its capabilities in quantifying changes in brain degeneration in dementia. This paper reviews the role of electroencephalogram as a biomarker based on signal processing to detect dementia in early stages and classify its severity. The review starts with a discussion of dementia types and cognitive spectrum followed by the presentation of the effective preprocessing denoising to eliminate possible artifacts. It continues with a description of feature extraction by using linear and nonlinear techniques, and it ends with a brief explanation of vast variety of separation techniques to classify EEG signals. This paper also provides an idea from the most popular studies that may help in diagnosing dementia in early stages and classifying through electroencephalogram signal processing and analysis.

Optimal combinations of acute phase proteins for detecting infectious disease in pigs

DEFF Research Database (Denmark)

Heegaard, Peter M. H.; Stockmarr, Anders; Piñeiro, Matilde

2011-01-01

The acute phase protein (APP) response is an early systemic sign of disease, detected as substantial changes in APP serum concentrations and most disease states involving inflammatory reactions give rise to APP responses. To obtain a detailed picture of the general utility of porcine APPs to detect...... gondii) and one viral (porcine respiratory and reproductive syndrome virus) infection and one aseptic inflammation. Immunochemical analyses of seven APPs, four positive (C-reactive protein (CRP), haptoglobin (Hp), pig major acute phase protein (pigMAP) and serum amyloid A (SAA)) and three negative...

[Bioethical reflections on ill-considered care due to an early diagnosis of Alzheimer disease].

Science.gov (United States)

Buxó, M Jesús; Casado, María

2014-01-01

Early diagnosis of Alzheimer disease raises important bioethical issues. In the interval between early disease detection and symptom onset, there is a time in which the patient's autonomy, privacy, and dignity may be undermined by certain healthcare measures or by family care and support. These measures may eventually turn patients into an object of care, preventing them from accepting the disease, developing an identity, and rearranging their living spaces. Every effort should be made to ensure that care does not become compassionate harassment or an invasive act, annulling the patient's autonomy, identity, and self-determination. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

Assessment of Knowledge and Perception towards Breast Cancer Prevention and Early Detection

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Saleh Hadi Alharbi

2018-01-01

Full Text Available Background: Breast cancer was the ninth leading cause of mortality for women in Saudi Arabia, and to reduce the burden of this disease appropriate information about breast cancer and its’ early detection measures are highly needed. Therefore, the aim of this study was to assess the knowledge and perception of Northern Saudi Arabia people towards breast cancer prevention and early detection. Methodology: In this cross sectional descriptive study, data about breast cancer were obtained from 566 Saudi volunteers living in the city of Hail, Saudi Arabia. Results: When the level of individual’s knowledge about breast cancer was assessed, the majority of the study subjects were found with good knowledge followed by moderate and poor representing 187 (34.3%, 170 (31.2% and 86 (15.8%, respectively. For females, most of them were found with good knowledge followed by moderate and poor constituting 142 (36.1%, 111 (28.2% and 62 (15.8%, respectively. Conclusion: The findings of the present study have delivered evidence that women in Northern Saudi Arabia lack appropriate information about breast cancer and its’ early detection measures.

Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease.

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Betul Erdogdu Sakar

Full Text Available The recently proposed Parkinson's Disease (PD telediagnosis systems based on detecting dysphonia achieve very high classification rates in discriminating healthy subjects from PD patients. However, in these studies the data used to construct the classification model contain the speech recordings of both early and late PD patients with different severities of speech impairments resulting in unrealistic results. In a more realistic scenario, an early telediagnosis system is expected to be used in suspicious cases by healthy subjects or early PD patients with mild speech impairment. In this paper, considering the critical importance of early diagnosis in the treatment of the disease, we evaluate the ability of vocal features in early telediagnosis of Parkinson's Disease (PD using machine learning techniques with a two-step approach. In the first step, using only patient data, we aim to determine the patient group with relatively greater severity of speech impairments using Unified Parkinson's Disease Rating Scale (UPDRS score as an index of disease progression. For this purpose, we use three supervised and two unsupervised learning techniques. In the second step, we exclude the samples of this group of patients from the dataset, create a new dataset consisting of the samples of PD patients having less severity of speech impairments and healthy subjects, and use three classifiers with various settings to address this binary classification problem. In this classification problem, the highest accuracy of 96.4% and Matthew's Correlation Coefficient of 0.77 is obtained using support vector machines with third-degree polynomial kernel showing that vocal features can be used to build a decision support system for early telediagnosis of PD.

Risk of early surgery for Crohn's disease: implications for early treatment strategies.

Science.gov (United States)

Sands, Bruce E; Arsenault, Joanne E; Rosen, Michael J; Alsahli, Mazen; Bailen, Laurence; Banks, Peter; Bensen, Steven; Bousvaros, Athos; Cave, David; Cooley, Jeffrey S; Cooper, Herbert L; Edwards, Susan T; Farrell, Richard J; Griffin, Michael J; Hay, David W; John, Alex; Lidofsky, Sheldon; Olans, Lori B; Peppercorn, Mark A; Rothstein, Richard I; Roy, Michael A; Saletta, Michael J; Shah, Samir A; Warner, Andrew S; Wolf, Jacqueline L; Vecchio, James; Winter, Harland S; Zawacki, John K

2003-12-01

In this study we aimed to define the rate of early surgery for Crohn's disease and to identify risk factors associated with early surgery as a basis for subsequent studies of early intervention in Crohn's disease. We assembled a retrospective cohort of patients with Crohn's disease diagnosed between 1991 and 1997 and followed for at least 3 yr, who were identified in 16 community and referral-based practices in New England. Chart review was performed for each patient. Details of baseline demographic and disease features were recorded. Surgical history including date of surgery, indication, and procedure were also noted. Risk factors for early surgery (defined as major surgery for Crohn's disease within 3 yr of diagnosis, exclusive of major surgery at time of diagnosis) were identified by univariate analysis. Multiple logistic regression was used to identify independent risk factors. Of 345 eligible patients, 69 (20.1%) required surgery within 3 yr of diagnosis, excluding the 14 patients (4.1%) who had major surgery at the time of diagnosis. Overall, the interval between diagnosis and surgery was short; one half of all patients who required surgery underwent operation within 6 months of diagnosis. Risk factors identified by univariate analysis as significantly associated with early surgery included the following: smoking; disease of small bowel without colonic involvement; nausea and vomiting or abdominal pain on presentation; neutrophil count; and steroid use in the first 6 months. Disease localized to the colon only, blood in the stool, use of 5-aminosalicylate, and lymphocyte count were inversely associated with risk of early surgery. Logistic regression confirmed independent associations with smoking as a positive risk factor and involvement of colon without small bowel as a negative risk factor for early surgery. The rate of surgery is high in the first 3 yr after diagnosis of Crohn's disease, particularly in the first 6 months. These results suggest that

Reduced Bone Mineral Density in Children With Screening-detected Celiac Disease.

Science.gov (United States)

Björck, Sara; Brundin, Charlotte; Karlsson, Magnus; Agardh, Daniel

2017-11-01

The aim of the study was to assess whether bone mass and metabolism are impaired in genetically at-risk children with screening-detected celiac disease. Included were 71 children with screening-detected celiac disease diagnosed at 10.0 ± 0.7 (mean ± standard deviation) years and 142 matched controls and 30 children with screening-detected celiac disease diagnosed at 3.3 ± 0.4 years of age presently on a gluten-free diet for 6.9 ± 1.1 years and 60 matched controls. All participants were assessed for bone mineral density (BMD) of total body and spine by dual x-ray absorptiometry, serum 25(OH) vitamin D3, parathyroid hormone (PTH), interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-13, IL-15, interferon gamma, and tumor necrosis factor alpha. At diagnosis, screening-detected celiac disease children as compared to controls had a mean -0.03 g/cm reduced BMD of both total body and spine (P = 0.009 and P = 0.005, respectively), a mean -11.4 nmol/L lower level of 25(OH) vitamin D3 (P celiac disease as compared to controls (P celiac disease have reduced BMD, lower levels of vitamin D3, higher levels of PTH, and signs of systemic inflammation compared with controls. These differences were not found in celiac disease children on a gluten-free diet, indicating that children with screening-detected celiac disease benefit from an early diagnosis and treatment.

Early detection of psychosis

DEFF Research Database (Denmark)

Larsen, Tor Ketil; Melle, Ingrid; Auestad, B.

2011-01-01

Background During the last decades we have seen a new focus on early treatment of psychosis. Several reviews have shown that duration of untreated psychosis (DUP) is correlated to better outcome. However, it is still unknown whether early treatment will lead to a better long-term outcome....... This study reports the effects of reducing DUP on 5-year course and outcome. Method During 1997–2000 a total of 281 consecutive patients aged >17 years with first episode non-affective psychosis were recruited, of which 192 participated in the 5-year follow-up. A comprehensive early detection (ED) programme...... and cognitive factors and for global assessment of functioning for social functioning at 5-year follow-up. The ED group also had more contacts with friends. Regression analysis did not find that these differences could be explained by confounders. Conclusions Early treatment had positive effects on clinical...

Classification of Rhinoentomophthoromycosis into Atypical, Early, Intermediate, and Late Disease: A Proposal.

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Christian G Blumentrath

Full Text Available Rhinoentomophthoromycosis, or rhino-facial conidiobolomycosis, is a rare, grossly disfiguring disease due to an infection with entomophthoralean fungi. We report a case of rhinoentomophthoromycosis from Gabon and suggest a staging system, which provides information on the prognosis and duration of antifungal therapy.We present a case of rhinoentomophthoromycosis including the histopathology, mycology, and course of disease. For the suggested staging system, all cases on confirmed rhinoentomophthoromycosis published in the literature without language restriction were eligible. Exclusion criteria were missing data on (i duration of disease before correct diagnosis, (ii outcome, and (iii confirmation of entomophthoralean fungus infection by histopathology and/or mycology. We classified cases into atypical (orbital cellulitis, severe pain, fever, dissemination, early, intermediate, and late disease based on the duration of symptoms before diagnosis. The outcome was evaluated for each stage of disease.The literature search of the Medpilot database was conducted on January 13, 2014, (updated on January 18, 2015. The search yielded 8,333 results including 198 cases from 117 papers; of these, 145 met our inclusion criteria and were included in the final analysis. Median duration of treatment was 4, 3, 4, and 5 months in atypical, early, intermediate, and late disease, respectively. Cure rates were clearly associated with stage of disease and were 57%, 100%, 82%, and 43% in atypical, early, intermediate, and late disease, respectively.We suggest a clinical staging system that underlines the benefit of early case detection and may guide the duration of antifungal treatment. The scientific value of this classification is its capacity to structure and harmonize the clinical and research approach towards rhinoentomophthoromycosis.

Early detection of COPD in general practice

DEFF Research Database (Denmark)

Ulrik, Charlotte Suppli; Løkke, Anders; Dahl, Ronald

2011-01-01

Early detection enables the possibility for interventions to reduce the future burden of COPD. The Danish National Board of Health recommends that individuals >35 years with tobacco/occupational exposure, and at least 1 respiratory symptom should be offered a spirometry to facilitate early...... detection of COPD. The aim, therefore, was to provide evidence for the feasibility and impact of doing spirometry in this target population....

Allostatic Load Assessment for Early Detection of Stress in the Workplace in Egypt

Directory of Open Access Journals (Sweden)

Ola Sayed Ali

2016-06-01

CONCLUSION: Female gender and the old age of the Egyptian workforce under study are at higher risk of chronic diseases. Using an alternative way -for example, the cut-point method- instead of the risk quartiles for dichotomization of markers used in ALI calculation could be more precise for early detection of stress among healthy individuals.

Screen-detected gallstone disease and cardiovascular disease

DEFF Research Database (Denmark)

Shabanzadeh, Daniel Mønsted; Skaaby, Tea; Sørensen, Lars Tue

2017-01-01

Knowledge about temporal associations for screen-detected gallstone disease and cardiovascular disease is limited. The objective of this study was to determine if screen-detected gallstones or cholecystectomy was associated with development of cardiovascular disease. A cohort study of three...... of cardiovascular disease through nationwide registers until December 2014. Multivariable Cox regression analyses were performed including traditional cardiovascular disease risk factors and apolipoprotein E genotype. Gallstone disease was identified in 10% (591/5928) of participants at baseline of whom 6.8% had...... gallstones and 3.2% had cholecystectomy. The study population was followed for a period of 32 years with only 1% lost to follow-up. Gallstone disease was associated with all cardiovascular disease (hazard ratio (HR) 1.36, 95% confidence interval (CI) [1.17;1.59]) and to the subgroups coronary artery (HR 1...

[In vitro early detection of amyloid plaques in Alzheimer's disease by Pittsburgh compound B-modified magnetic nanoparticles].

Science.gov (United States)

Zeng, J Q; Wu, J Q; Li, M H; Wang, P J

2017-11-07

Objective: To construct magnetic nanoparticles targeting β-amyloid (Aβ) plaques, the pathological biomarker of Alzheimer's disease (AD) and to study their binding capability in vitro . Methods: Superparamagnetic nanoparticles Mn(0.6)Zn(0.4)Fe(2)O(4) (MZF) were coated with amphiphilic star-block copolymeric micelles and modified with Aβ-specific probe Pittsburgh compound B (PiB) to construct a novel magnetic nanoparticle MZF-PiB, which specifically targeted amyloid plaques. Transmission electron microscope was used to study the morphological features of MZF-PiB. Superparamagnetism of MZF-PiB was assessed by its r(2) relaxation rate by using 3.0 T MRI scanner. Cytotoxic test was applied to determine biosafety of MZF-PiB nanoparticles in differentiated human neuroblastoma cells (SH-SY5Y) and Madin-Darby canine kidney (MDCK). In vitro binding tests were conducted via immunohistochemistry on 6-month old AD mice brain sections. Differences of cell viability between groups were compared with one-way analysis of variance. Results: MZF-PiB nanoparticles were successfully constructed. Transmission electron microscope images showed that the nanoparticles were about 100 nm in size. The r(2) relaxation rate was 163.11 mMS(-1). No differences were found in cell viability of SH-SY5Y and MDCK incubated with MZF-PiB suspension for 24 h or 48 h when compared with those of untreated cells ( F =2.336, 2.539, 0.293, 1.493, all P >0.05). In vitro binding tests indicated that the MZF-PiB were specifically bound to amyloid plaques. The smallest size of detected plaques was 27 μm. Conclusion: PiB-modified nanoparticles targeting Aβ are biologically safe and highly superparamagnetic, possessing the capability to detect amyloid plaques early in vitro and the potential for early diagnosis of AD.

A nationwide web-based automated system for early outbreak detection and rapid response in China

Directory of Open Access Journals (Sweden)

Yilan Liao

2011-03-01

Full Text Available Timely reporting, effective analyses and rapid distribution of surveillance data can assist in detecting the aberration of disease occurrence and further facilitate a timely response. In China, a new nationwide web-based automated system for outbreak detection and rapid response was developed in 2008. The China Infectious Disease Automated-alert and Response System (CIDARS was developed by the Chinese Center for Disease Control and Prevention based on the surveillance data from the existing electronic National Notifiable Infectious Diseases Reporting Information System (NIDRIS started in 2004. NIDRIS greatly improved the timeliness and completeness of data reporting with real time reporting information via the Internet. CIDARS further facilitates the data analysis, aberration detection, signal dissemination, signal response and information communication needed by public health departments across the country. In CIDARS, three aberration detection methods are used to detect the unusual occurrence of 28 notifiable infectious diseases at the county level and to transmit that information either in real-time or on a daily basis. The Internet, computers and mobile phones are used to accomplish rapid signal generation and dissemination, timely reporting and reviewing of the signal response results. CIDARS has been used nationwide since 2008; all Centers for Disease Control and Prevention (CDC in China at the county, prefecture, provincial and national levels are involved in the system. It assists with early outbreak detection at the local level and prompts reporting of unusual disease occurrences or potential outbreaks to CDCs throughout the country.

Early detection of ecosystem regime shifts

DEFF Research Database (Denmark)

Lindegren, Martin; Dakos, Vasilis; Groeger, Joachim P.

2012-01-01

methods may have limited utility in ecosystem-based management as they show no or weak potential for early-warning. We therefore propose a multiple method approach for early detection of ecosystem regime shifts in monitoring data that may be useful in informing timely management actions in the face...

Congenital heart disease in the newborn requiring early intervention

Directory of Open Access Journals (Sweden)

Sin Weon Yun

2011-05-01

Full Text Available Although antenatal diagnostic technique has considerably improved, precise detection and proper management of the neonate with congenital heart disease (CHD is always a great concern to pediatricians. Congenital cardiac malformations vary from benign to serious conditions such as complete transposition of the great arteries (TGA, critical pulmonary and aortic valvular stenosis/atresia, hypoplastic left heart syndrome (HLHS, obstructed total anomalous pulmonary venous return (TAPVR, which the baby needs immediate diagnosis and management for survival. Unfortunately, these life threatening heart diseases may not have obvious evidence early after birth, most of the clinical and physical findings are nonspecific and vague, which makes the diagnosis difficult. High index of suspicion and astute acumen are essential to decision making. When patent ductus arteriosus (PDA is opened widely, many serious malformations may not be noticed easily in the early life, but would progress as severe acidosis/shock/cyanosis or even death as PDA constricts after few hours to days. Ductus dependent congenital cardiac lesions can be divided into the ductus dependent systemic or pulmonary disease, but physiologically quite different from each other and treatment strategy has to be tailored to the clinical status and cardiac malformations. Inevitably early presentation is often regarded as a medical emergency. Differential diagnosis with inborn error metabolic disorders, neonatal sepsis, persistent pulmonary hypertension of the newborn (PPHN and other pulmonary conditions are necessary. Urgent identification of the newborn at such high risk requires timely referral to a pediatric cardiologist, and timely intervention is the key in reducing mortality and morbidity. This following review deals with the clinical presentations, investigative modalities and approach to management of congenital cardiac malformations presenting in the early life.

Modifications of the National Early Warning Score for patients with chronic respiratory disease

DEFF Research Database (Denmark)

Pedersen, N. E.; Rasmussen, L. S.; Petersen, J. A.

2018-01-01

System (CROS), the Chronic Respiratory Early Warning Score (CREWS) and the Salford NEWS (S-NEWS) affected NEWS total scores and NEWS performance. METHODS: In an observational study, we included patients with chronic respiratory disease. The frequency of use of CROS and the NEWS total score changes caused...... and specialist consultation' total score intervals to lower intervals. CONCLUSION: Capital Region of Denmark NEWS Override System was frequently used in patients with chronic respiratory disease. CROS, CREWS and S-NEWS reduced sensitivity for 48-h mortality and ICU admission. Using the methodology prevalent......BACKGROUND: The National Early Warning Score (NEWS) uses physiological variables to detect deterioration in hospitalized patients. However, patients with chronic respiratory disease may have abnormal variables not requiring interventions. We studied how the Capital Region of Denmark NEWS Override...

Automated early detection of diabetic retinopathy

NARCIS (Netherlands)

Abràmoff, M.D.; Reinhardt, J.M.; Russell, S.R.; Folk, J.C.; Mahajan, V.B.; Niemeijer, M.; Quellec, G.

2010-01-01

Purpose To compare the performance of automated diabetic retinopathy (DR) detection, using the algorithm that won the 2009 Retinopathy Online Challenge Competition in 2009, the Challenge2009, against that of the one currently used in EyeCheck, a large computer-aided early DR detection project.

Evaluation of quantitative sacroiliac scintigraphy for the early detection of sacroiliitis

International Nuclear Information System (INIS)

Prakash, S.; Malaviya, A.N.; Gopinath, P.G.; Bhargava, S.; Mehra, N.K.

1983-01-01

Quantitative sacroliac scintigraphy (QSS) was evaluated for the detection of sacroiliac (SI) joint disease before the appearance of radiographic/changes. QSS with fractional quantitation was done in 13 age- and sexmatched controls and 28 patients with different grades of radiographic sacroliitis. The SI index of each joint was considered separately. The mean SI index values in patients with grade I radiographic sacroiliitis (1.54) and HLA-B27 positive patients with low back pain (1.50) were significantly (P 0.05). Thus a large overlap between the normal and abnormal ranges of sacroiliac ratios limits the utility of quantitative sacroiliac scintigraphy for the early diagnosis of sacroiliac joint disease. (orig.)

Detection of Early lung Cancer Among Military Personnel (DECAMP)

Science.gov (United States)

2017-10-01

Award Number: W81XWH-11-2-0161 TITLE: Detection of Early lung Cancer Among Military Personnel (DECAMP) PRINCIPAL INVESTIGATOR: Avrum E. Spira...W81XWH-11-2-0161 Detection of Early lung Cancer Among Military Personnel (DECAMP) 5b. GRANT NUMBER W81XWH-11-2-0161 5c. PROGRAM ELEMENT NUMBER 6...biomarkers found in blood, tissues, or other bodily fluids, which may be used for the early detection of lung cancer among military personnel and

Estimation for aerial detection effectiveness with cooperation efficiency factors of early-warning aircraft in early-warning detection SoS under BSC framework

Science.gov (United States)

Zhu, Feng; Hu, Xiaofeng; He, Xiaoyuan; Guo, Rui; Li, Kaiming; Yang, Lu

2017-11-01

In the military field, the performance evaluation of early-warning aircraft deployment or construction is always an important problem needing to be explored. As an effective approach of enterprise management and performance evaluation, Balanced Score Card (BSC) attracts more and more attentions and is studied more and more widely all over the world. It can also bring feasible ideas and technical approaches for studying the issue of the performance evaluation of the deployment or construction of early-warning aircraft which is the important component in early-warning detection system of systems (SoS). Therefore, the deep explored researches are carried out based on the previously research works. On the basis of the characteristics of space exploration and aerial detection effectiveness of early-warning detection SoS and the cardinal principle of BSC are analyzed simply, and the performance evaluation framework of the deployment or construction of early-warning aircraft is given, under this framework, aimed at the evaluation issue of aerial detection effectiveness of early-warning detection SoS with the cooperation efficiency factors of the early-warning aircraft and other land based radars, the evaluation indexes are further designed and the relative evaluation model is further established, especially the evaluation radar chart being also drawn to obtain the evaluation results from a direct sight angle. Finally, some practical computer simulations are launched to prove the validity and feasibility of the research thinking and technologic approaches which are proposed in the paper.

Common variants at five new loci associated with early-onset inflammatory bowel disease.

Science.gov (United States)

Imielinski, Marcin; Baldassano, Robert N; Griffiths, Anne; Russell, Richard K; Annese, Vito; Dubinsky, Marla; Kugathasan, Subra; Bradfield, Jonathan P; Walters, Thomas D; Sleiman, Patrick; Kim, Cecilia E; Muise, Aleixo; Wang, Kai; Glessner, Joseph T; Saeed, Shehzad; Zhang, Haitao; Frackelton, Edward C; Hou, Cuiping; Flory, James H; Otieno, George; Chiavacci, Rosetta M; Grundmeier, Robert; Castro, Massimo; Latiano, Anna; Dallapiccola, Bruno; Stempak, Joanne; Abrams, Debra J; Taylor, Kent; McGovern, Dermot; Silber, Gary; Wrobel, Iwona; Quiros, Antonio; Barrett, Jeffrey C; Hansoul, Sarah; Nicolae, Dan L; Cho, Judy H; Duerr, Richard H; Rioux, John D; Brant, Steven R; Silverberg, Mark S; Taylor, Kent D; Barmuda, M Michael; Bitton, Alain; Dassopoulos, Themistocles; Datta, Lisa Wu; Green, Todd; Griffiths, Anne M; Kistner, Emily O; Murtha, Michael T; Regueiro, Miguel D; Rotter, Jerome I; Schumm, L Philip; Steinhart, A Hillary; Targan, Stephen R; Xavier, Ramnik J; Libioulle, Cécile; Sandor, Cynthia; Lathrop, Mark; Belaiche, Jacques; Dewit, Olivier; Gut, Ivo; Heath, Simon; Laukens, Debby; Mni, Myriam; Rutgeerts, Paul; Van Gossum, André; Zelenika, Diana; Franchimont, Denis; Hugot, J P; de Vos, Martine; Vermeire, Severine; Louis, Edouard; Cardon, Lon R; Anderson, Carl A; Drummond, Hazel; Nimmo, Elaine; Ahmad, Tariq; Prescott, Natalie J; Onnie, Clive M; Fisher, Sheila A; Marchini, Jonathan; Ghori, Jilur; Bumpstead, Suzannah; Gwillam, Rhian; Tremelling, Mark; Delukas, Panos; Mansfield, John; Jewell, Derek; Satsangi, Jack; Mathew, Christopher G; Parkes, Miles; Georges, Michel; Daly, Mark J; Heyman, Melvin B; Ferry, George D; Kirschner, Barbara; Lee, Jessica; Essers, Jonah; Grand, Richard; Stephens, Michael; Levine, Arie; Piccoli, David; Van Limbergen, John; Cucchiara, Salvatore; Monos, Dimitri S; Guthery, Stephen L; Denson, Lee; Wilson, David C; Grant, Straun F A; Daly, Mark; Silverberg, Mark S; Satsangi, Jack; Hakonarson, Hakon

2009-12-01

The inflammatory bowel diseases (IBD) Crohn's disease and ulcerative colitis are common causes of morbidity in children and young adults in the western world. Here we report the results of a genome-wide association study in early-onset IBD involving 3,426 affected individuals and 11,963 genetically matched controls recruited through international collaborations in Europe and North America, thereby extending the results from a previous study of 1,011 individuals with early-onset IBD. We have identified five new regions associated with early-onset IBD susceptibility, including 16p11 near the cytokine gene IL27 (rs8049439, P = 2.41 x 10(-9)), 22q12 (rs2412973, P = 1.55 x 10(-9)), 10q22 (rs1250550, P = 5.63 x 10(-9)), 2q37 (rs4676410, P = 3.64 x 10(-8)) and 19q13.11 (rs10500264, P = 4.26 x 10(-10)). Our scan also detected associations at 23 of 32 loci previously implicated in adult-onset Crohn's disease and at 8 of 17 loci implicated in adult-onset ulcerative colitis, highlighting the close pathogenetic relationship between early- and adult-onset IBD.

Powerful qPCR assays for the early detection of latent invaders: interdisciplinary approaches in clinical cancer research and plant pathology.

Science.gov (United States)

Luchi, Nicola; Capretti, Paolo; Pazzagli, Mario; Pinzani, Pamela

2016-06-01

Latent invaders represent the first step of disease before symptoms occur in the host. Based on recent findings, tumors are considered to be ecosystems in which cancer cells act as invasive species that interact with the native host cell species. Analogously, in plants latent fungal pathogens coevolve within symptomless host tissues. For these reasons, similar detection approaches can be used for an early diagnosis of the invasion process in both plants and humans to prevent or reduce the spread of the disease. Molecular tools based on the evaluation of nucleic acids have been developed for the specific, rapid, and early detection of human diseases. During the last decades, these techniques to assess and quantify the proliferation of latent invaders in host cells have been transferred from the medical field to different areas of scientific research, such as plant pathology. An improvement in molecular biology protocols (especially referring to qPCR assays) specifically designed and optimized for detection in host plants is therefore advisable. This work is a cross-disciplinary review discussing the use of a methodological approach that is employed within both medical and plant sciences. It provides an overview of the principal qPCR tools for the detection of latent invaders, focusing on comparisons between clinical cancer research and plant pathology, and recent advances in the early detection of latent invaders to improve prevention and control strategies.

Early cell death detection with digital holographic microscopy.

Directory of Open Access Journals (Sweden)

Nicolas Pavillon

Full Text Available BACKGROUND: Digital holography provides a non-invasive measurement of the quantitative phase shifts induced by cells in culture, which can be related to cell volume changes. It has been shown previously that regulation of cell volume, in particular as it relates to ionic homeostasis, is crucially involved in the activation/inactivation of the cell death processes. We thus present here an application of digital holographic microscopy (DHM dedicated to early and label-free detection of cell death. METHODS AND FINDINGS: We provide quantitative measurements of phase signal obtained on mouse cortical neurons, and caused by early neuronal cell volume regulation triggered by excitotoxic concentrations of L-glutamate. We show that the efficiency of this early regulation of cell volume detected by DHM, is correlated with the occurrence of subsequent neuronal death assessed with the widely accepted trypan blue method for detection of cell viability. CONCLUSIONS: The determination of the phase signal by DHM provides a simple and rapid optical method for the early detection of cell death.

Pompe Disease: Early Diagnosis and Early Treatment Make a Difference

Directory of Open Access Journals (Sweden)

Yin-Hsiu Chien

2013-08-01

Full Text Available Pompe disease (glycogen storage disease type II or acid maltase deficiency is a lysosomal disorder in which acid α-glucosidase (GAA deficiencies lead to intralysosomal accumulation of glycogen in all tissues; most notably in skeletal muscles. Both the patient's age at the onset of Pompe disease symptoms and the rate of deterioration caused by the disease can vary considerably. In classical infant-onset Pompe disease (IOPD, symptoms start very early in life, and death occurs soon afterward if the disease remains untreated. In later-onset Pompe disease, symptoms are slower to appear, and patients often progress to wheelchair confinement and eventual respiratory failure. A diagnosis can be made by screening for GAA in dried blood samples, followed either by GAA assessment in lymphocytes or in fibroblasts or by the genetic analysis of mutations. Treatment by enzyme replacement therapy (ERT with alglucosidase alfa was approved for human use in 2006. In classical IOPD, treatment significantly lengthens survival and improves motor development and cardiac function. The sooner ERT begins, the better are the results. Newborn screening aims to take advantage of different technologies for diagnosing and treating newborns early on and it yields better outcomes. However, newborns diagnosed early and other long-term survivors may encounter fresh problems, making up a new phenotype of IOPD patients. Further modifications of the treatment, such as a decrease in immune responses to ERT, a higher dosage, a better uptake formulation, and gene therapy delivered locally or systemically are being explored.

Deep Machine Learning Application to the Detection of Preclinical Neurodegenerative Diseases of Aging

Directory of Open Access Journals (Sweden)

Mathew J. Summers

2017-12-01

Full Text Available Artificial intelligence (AI deep learning protocols offer solutions to complex data processing and analysis. Increasingly these solutions are being applied in the healthcare field, most commonly in processing complex medical imaging data used for diagnosis. Current models apply AI to screening populations of patients for markers of disease and report detection accuracy rates exceeding those of human data screening. In this paper, we explore an alternate model for AI deployment, that of monitoring and analysing an individual’s level of function over time. In adopting this approach, we propose that AI may provide highly accurate and reliable detection of preclinical disease states associated with aging-related neurodegenerative diseases. One of the key challenges facing clinical detection of preclinical phases of diseases such as dementia is the high degree of inter-individual variability in aging-related changes to cognitive function. AI based monitoring of an individual over time offers the potential for the early detection of change in function for the individual, rather than relying on comparing the individual’s performance to population norms. We explore an approach to developing AI platforms for individual monitoring and preclinical disease detection and examine the potential benefits to the stakeholders in this technological development.

Rapid Detection and Characterization of Emerging Foreign Animal Disease Pathogens

Energy Technology Data Exchange (ETDEWEB)

Jaing, C. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

2016-11-18

To best safeguard human and animal health requires early detection and characterization of disease events. This must include effective surveillance for emerging infectious diseases. Both deliberate and natural outbreaks have enormous economic and public health impacts, and can present serious threats to national security. In this project, we developed novel next generation detection technologies to protect the agricultural economy and biosecurity. The first technology is a multiplexed assay to simultaneously detection 10 swine viral and bacterial pathogens. The second one is the Lawrence Livermore Microbial Detection Array (LLMDA) which can detect more than 10,000 microbial species including 4219 viruses, 5367 bacteria, 265 fungi, 117 protozoa and 293 archaea. We analyzed a series of swine clinical samples from past disease events to demonstrate the utility of the assays for faster and cheaper detection of emerging and foreign animal disease pathogens, and their utility as s routine diagnosis and surveillance tool. A second goal of the study is to better understand mechanisms of African swine fever virus (ASFV) infection in pigs to aid the development of countermeasures and diagnostics. There is no vaccine available for ASF. ASF outbreak is on the rise on several European countries. Though ASF is not currently in the U.S., a potential outbreak in the U.S. would be detrimental to the swine industry and the US agricultural economy. We pursued a genome-wide approach to characterize the pig immune responses after ASFV infection. We used RNA sequencing and bioinformatics methods to identify genes and pathways that are affected during ASF infection. We have identified a list of most differentially expressed genes that are in the immune response pathways.

Early Automatic Detection of Parkinson's Disease Based on Sleep Recordings

DEFF Research Database (Denmark)

Kempfner, Jacob; Sorensen, Helge B D; Nikolic, Miki

2014-01-01

SUMMARY: Idiopathic rapid-eye-movement (REM) sleep behavior disorder (iRBD) is most likely the earliest sign of Parkinson's Disease (PD) and is characterized by REM sleep without atonia (RSWA) and consequently increased muscle activity. However, some muscle twitching in normal subjects occurs...... during REM sleep. PURPOSE: There are no generally accepted methods for evaluation of this activity and a normal range has not been established. Consequently, there is a need for objective criteria. METHOD: In this study we propose a full-automatic method for detection of RSWA. REM sleep identification...... the number of outliers during REM sleep was used as a quantitative measure of muscle activity. RESULTS: The proposed method was able to automatically separate all iRBD test subjects from healthy elderly controls and subjects with periodic limb movement disorder. CONCLUSION: The proposed work is considered...

Evaluation of Selected Borrelia burgdorferi lp54 Plasmid-Encoded Gene Products Expressed during Mammalian Infection as Antigens To Improve Serodiagnostic Testing for Early Lyme Disease

Science.gov (United States)

Weiner, Zachary P.; Crew, Rebecca M.; Brandt, Kevin S.; Ullmann, Amy J.; Schriefer, Martin E.; Molins, Claudia R.

2015-01-01

Laboratory testing for the diagnosis of Lyme disease is performed primarily by serologic assays and is accurate for detection beyond the acute stage of the infection. Serodiagnostic assays to detect the early stages of infection, however, are limited in their sensitivity, and improvement is warranted. We analyzed a series of Borrelia burgdorferi proteins known to be induced within feeding ticks and/or during mammalian infection for their utility as serodiagnostic markers against a comprehensive panel of Lyme disease patient serum samples. The antigens were assayed for IgM and IgG reactivity in line immunoblots and separately by enzyme-linked immunosorbent assay (ELISA), with a focus on reactivity against early Lyme disease with erythema migrans (EM), early disseminated Lyme neuroborreliosis, and early Lyme carditis patient serum samples. By IgM immunoblotting, we found that recombinant proteins BBA65, BBA70, and BBA73 reacted with early Lyme EM samples at levels comparable to those of the OspC antigen used in the current IgM blotting criteria. Additionally, these proteins reacted with serum samples from patients with early neuroborreliosis and early carditis, suggesting value in detecting early stages of this disease progression. We also found serological reactivity against recombinant proteins BBA69 and BBA73 with early-Lyme-disease samples using IgG immunoblotting and ELISA. Significantly, some samples that had been scored negative by the Centers for Disease Control and Prevention-recommended 2-tiered testing algorithm demonstrated positive reactivity to one or more of the antigens by IgM/IgG immunoblot and ELISA. These results suggest that incorporating additional in vivo-expressed antigens into the current IgM/IgG immunoblotting tier in a recombinant protein platform assay may improve the performance of early-Lyme-disease serologic testing. PMID:26376927

Evaluation of Selected Borrelia burgdorferi lp54 Plasmid-Encoded Gene Products Expressed during Mammalian Infection as Antigens To Improve Serodiagnostic Testing for Early Lyme Disease.

Science.gov (United States)

Weiner, Zachary P; Crew, Rebecca M; Brandt, Kevin S; Ullmann, Amy J; Schriefer, Martin E; Molins, Claudia R; Gilmore, Robert D

2015-11-01

Laboratory testing for the diagnosis of Lyme disease is performed primarily by serologic assays and is accurate for detection beyond the acute stage of the infection. Serodiagnostic assays to detect the early stages of infection, however, are limited in their sensitivity, and improvement is warranted. We analyzed a series of Borrelia burgdorferi proteins known to be induced within feeding ticks and/or during mammalian infection for their utility as serodiagnostic markers against a comprehensive panel of Lyme disease patient serum samples. The antigens were assayed for IgM and IgG reactivity in line immunoblots and separately by enzyme-linked immunosorbent assay (ELISA), with a focus on reactivity against early Lyme disease with erythema migrans (EM), early disseminated Lyme neuroborreliosis, and early Lyme carditis patient serum samples. By IgM immunoblotting, we found that recombinant proteins BBA65, BBA70, and BBA73 reacted with early Lyme EM samples at levels comparable to those of the OspC antigen used in the current IgM blotting criteria. Additionally, these proteins reacted with serum samples from patients with early neuroborreliosis and early carditis, suggesting value in detecting early stages of this disease progression. We also found serological reactivity against recombinant proteins BBA69 and BBA73 with early-Lyme-disease samples using IgG immunoblotting and ELISA. Significantly, some samples that had been scored negative by the Centers for Disease Control and Prevention-recommended 2-tiered testing algorithm demonstrated positive reactivity to one or more of the antigens by IgM/IgG immunoblot and ELISA. These results suggest that incorporating additional in vivo-expressed antigens into the current IgM/IgG immunoblotting tier in a recombinant protein platform assay may improve the performance of early-Lyme-disease serologic testing. Copyright © 2015, American Society for Microbiology. All Rights Reserved.

Glypican1 identifies cancer exosomes and facilitates early detection of cancer

Science.gov (United States)

Melo, Sonia A.; Luecke, Linda B.; Kahlert, Christoph; Fernandez, Agustin F.; Gammon, Seth T.; Kaye, Judith; LeBleu, Valerie S.; Mittendorf, Elizabeth A.; Weitz, Juergen; Rahbari, Nuh; Reissfelder, Christoph; Pilarsky, Christian; Fraga, Mario F.; Piwnica-Worms, David; Kalluri, Raghu

2016-01-01

Summary Exosomes are lipid bilayer-enclosed extracellular vesicles (EVs) that contain proteins and nucleic acids. They are secreted by all cells and circulate in the blood. Specific detection and isolation of cancer cell-derived exosomes in circulation is currently lacking. Using mass spectrometry analyses, we identified a cell surface proteoglycan, glypican-1 (GPC1), specifically enriched on cancer cell-derived exosomes. GPC1+ circulating exosomes (crExos) were monitored and isolated using flow cytometry from the serum of cancer patients and mice with cancer. GPC1+ crExos were detected in the serum of patients with pancreas cancer with absolute specificity and sensitivity, distinguishing healthy subjects and patients with a benign pancreas disease from patients with early and late stage pancreas cancer. Levels of GPC1+ crExos correlate with tumor burden and survival in patients pre- and post-surgical tumor resection. GPC1+ crExos from patients and from mice with spontaneous pancreas tumors driven by oncogenic KRAS contained RNA with specific KRAS mutation, and it emerges as a reliable biomarker for the detection of PanIN lesions despite negative signal by MRI in mice. GPC1+ crExos may serve as a potential non-invasive diagnostic and screening tool to detect early stages of pancreas cancer to facilitate possible curative surgical therapy. PMID:26106858

Early detection of rogue waves by the wavelet transforms

International Nuclear Information System (INIS)

Bayındır, Cihan

2016-01-01

Highlights: • The advantages of wavelet analysis over the Fourier analysis for the early detection of rogue waves are discussed. • The triangular wavelet spectra can be detected at early stages of the development of rogue waves. • The wavelet analysis is capable of detecting not only the emergence but also the location of a rogue wave. • Wavelet analysis is also capable of predicting the characteristic distances between successive rogue waves. - Abstract: We discuss the possible advantages of using the wavelet transform over the Fourier transform for the early detection of rogue waves. We show that the triangular wavelet spectra of the rogue waves can be detected at early stages of the development of rogue waves in a chaotic wave field. Compared to the Fourier spectra, the wavelet spectra are capable of detecting not only the emergence of a rogue wave but also its possible spatial (or temporal) location. Due to this fact, wavelet transform is also capable of predicting the characteristic distances between successive rogue waves. Therefore multiple simultaneous breaking of the successive rogue waves on ships or on the offshore structures can be predicted and avoided by smart designs and operations.

Early detection of rogue waves by the wavelet transforms

Energy Technology Data Exchange (ETDEWEB)

Bayındır, Cihan, E-mail: cihan.bayindir@isikun.edu.tr

2016-01-08

Highlights: • The advantages of wavelet analysis over the Fourier analysis for the early detection of rogue waves are discussed. • The triangular wavelet spectra can be detected at early stages of the development of rogue waves. • The wavelet analysis is capable of detecting not only the emergence but also the location of a rogue wave. • Wavelet analysis is also capable of predicting the characteristic distances between successive rogue waves. - Abstract: We discuss the possible advantages of using the wavelet transform over the Fourier transform for the early detection of rogue waves. We show that the triangular wavelet spectra of the rogue waves can be detected at early stages of the development of rogue waves in a chaotic wave field. Compared to the Fourier spectra, the wavelet spectra are capable of detecting not only the emergence of a rogue wave but also its possible spatial (or temporal) location. Due to this fact, wavelet transform is also capable of predicting the characteristic distances between successive rogue waves. Therefore multiple simultaneous breaking of the successive rogue waves on ships or on the offshore structures can be predicted and avoided by smart designs and operations.

Early breast cancer detection in the hospital setting

International Nuclear Information System (INIS)

Vega, A.; Ortega, E.; Garcia-Valtuille, R.; Erasun, F.; Millan, R.; Garijo, F.

1997-01-01

The purpose of this study is to evaluate the benefits of mammography in general and particularly as a screening method in the early detection of breast cancer in our hospital. All the cases of breast carcinoma registered in our section between 1989 and 1995 were reviewed retrospectively. The total number of carcinomas was 775, 168 (22%) of which were diagnosed solely on the basis of mammography. The percentage of carcinomas detected on the basis of mammography alone increased progressively (from 13% in 1989-1990 to 28% in 1994-1995), coinciding with a progressive rise in the volume of screening mammography. Early carcinomas, referring to those in stages O or I, represented 67% of those detected by mammography in general and 17% of those detected by palpation (p<0.001). The proportion was even greater among cases of carcinoma detected exclusively by screening mammography (78 versus 17%; p<0.001). Although mammography has been instrumental in increasing the rate of early detection of breast carcinoma in our center, a large number of patients still present with palpable lesions. Thus, a greater effort should be made to increase the practice of mammography in asymptomatic women. (Author) 13 refs

Early vitrectomy effective for Norrie disease.

Science.gov (United States)

Walsh, Mark K; Drenser, Kimberly A; Capone, Antonio; Trese, Michael T

2010-04-01

To review our experience with Norrie disease to determine if early vitrectomy abrogates the natural history of this rare disease; namely, bilateral no light perception visual acuity and phthisis bulbi. We retrospectively reviewed the medical records of all patients seen in our tertiary care pediatric retinal clinical practice from 1988 through 2008 with a potential diagnosis of Norrie disease. Inclusion required not only clinical findings consistent with Norrie disease but also genetics and/or a family history consistent with Norrie disease. Medical record review revealed 14 boys with clinically diagnosed Norrie disease and either Norrie disease gene (NDP) mutations noted on genetic testing (13 patients) and/or a clear family history consistent with Norrie disease (4 patients). All 14 boys with definite Norrie disease had vitrectomy with or without lensectomy in at least 1 eye prior to 12 months of age. Of the 14 boys with definite Norrie disease, 7 maintained at least light perception visual acuity in 1 eye and 3 had no light perception visual acuity bilaterally; visual acuity data were not available for 4 patients. Only 2 of 24 (8%) eyes became phthisical. Historically, no treatment has been offered to mitigate the dismal natural history of Norrie disease. We recommend consideration of early vitrectomy in Norrie disease.

Early detection of congenital syphilis

Directory of Open Access Journals (Sweden)

Nagalakshmi Chowdhary

2014-01-01

Full Text Available Late congenital syphilis is a very rare clinical entity, and its early diagnosis and treatment is essential. Dental findings often provide valuable evidence for the diagnosis of late congenital syphilis. It occurs due to the transmission of the disease from an infected mother to her fetus through placenta. This long forgotten disease continues to effect pregnant women resulting in perinatal morbidity and mortality. Congenital syphilis is a preventable disease, and its presence reflects a failure of prenatal care delivery system, as well as syphilis control programs. We are reporting a case of late congenital syphilis with only Hutchinson′s teeth.

Blueprint of quartz crystal microbalance biosensor for early detection of breast cancer through salivary autoantibodies against ATP6AP1.

Science.gov (United States)

Arif, Sania; Qudsia, Syeda; Urooj, Samina; Chaudry, Nazia; Arshad, Aneeqa; Andleeb, Saadia

2015-03-15

Breast cancer represents a significant health problem because of its high prevalence. Tests like mammography, which are used abundantly for the detection of breast cancer, suffer from serious limitations. Mammography correctly detects malignancy about 80-90% of the times, failing in places when (1) the tumor is small at early stage, (2) breast tissue is dense or (3) in women of less than 40 years. Serum-based detection of biomarkers involves risk of disease transfer, along with other concerns. These techniques compromise in the early detection of breast cancer. Early detection of breast cancer is a crucial factor to enhance the survival rate of patient. Development of regular screening tests for early diagnosis of breast cancer is a challenge. This review highlights the design of a handy and household biosensor device aimed for self-screening and early diagnosis of breast cancer. The design makes use of salivary autoantibodies for specificity to develop a noninvasive procedure, breast cancer specific biomarkers for precision for the development of device, and biosensor technology for sensitivity to screen the early cases of breast cancer more efficiently. Copyright © 2014 Elsevier B.V. All rights reserved.

Magnetic resonance imaging markers for early diagnosis of Parkinson's disease

Institute of Scientific and Technical Information of China (English)

Silvia Marino; Rosella Ciurleo; Giuseppe Di Lorenzo; Marina Barresi; Simona De Salvo; Sabrina Giacoppo; Alessia Bramanti; Pietro Lanzafame; Placido Bramanti

2012-01-01

Parkinson's disease (PD) is a neurodegenerative disorder characterized by selective and progressive degeneration, as well as loss of dopaminergic neurons in the substantia nigra. In PD, approximately 60-70% of nigrostriatal neurons are degenerated and 80% of content of the striatal dopamine is reduced before the diagnosis can be established according to widely accepted clinical diagnostic criteria. This condition describes a stage of disease called "prodromal", where non-motor symptoms, such as olfactory dysfunction, constipation, rapid eye movement behaviour disorder, depression, precede motor sign of PD. Detection of prodromal phase of PD is becoming an important goal for determining the prognosis and choosing a suitable treatment strategy. In this review, we present some non-invasive instrumental approaches that could be useful to identify patients in the prodromal phase of PD or in an early clinical phase, when the first motor symptoms begin to be apparent. Conventional magnetic resonance imaging (MRI) and advanced MRI techniques, such as magnetic resonance spectroscopy imaging, diffusion-weighted and diffusion tensor imaging and functional MRI, are useful to differentiate early PD with initial motor symptoms from atypical parkinsonian disorders, thus, making easier early diagnosis. Functional MRI and diffusion tensor imaging techniques can show abnormalities in the olfactory system in prodromal PD.

Detection of early carious lesions using contrast enhancement with coherent light scattering (speckle imaging)

International Nuclear Information System (INIS)

Deana, A M; Jesus, S H C; Koshoji, N H; Bussadori, S K; Oliveira, M T

2013-01-01

Currently, dental caries still represent one of the chronic diseases with the highest prevalence and present in most countries. The interaction between light and teeth (absorption, scattering and fluorescence) is intrinsically connected to the constitution of the dental tissue. Decay induced mineral loss introduces a shift in the optical properties of the affected tissue; therefore, study of these properties may produce novel techniques aimed at the early diagnosis of carious lesions. Based on the optical properties of the enamel, we demonstrate the application of first-order spatial statistics in laser speckle imaging, allowing the detection of carious lesions in their early stages. A highlight of this noninvasive, non-destructive, real time and cost effective approach is that it allows a dentist to detect a lesion even in the absence of biofilm or moisture. (paper)

Melanoma early detection and awareness

DEFF Research Database (Denmark)

Wainstein, Alberto; Algarra, Salvador Martin; Bastholt, Lars

2014-01-01

to increase public awareness and favor early diagnosis. Awareness campaigns, doctor education, and screening of high-risk subjects have all contributed to improve disease outcome in developed countries. The role of primary care physicians is particularly relevant in this regard. Developing countries...

Validation of the Addenbrooke's cognitive examination for detecting early Alzheimer's disease and mild vascular dementia in a German population.

Science.gov (United States)

Alexopoulos, P; Greim, B; Nadler, K; Martens, U; Krecklow, B; Domes, G; Herpertz, S; Kurz, A

2006-01-01

We assessed the diagnostic accuracy of the German version of the Addenbrooke's Cognitive Examination (ACE) in identifying early Alzheimer's disease (AD) and mild vascular dementia (VaD) in comparison with the conventional Mini-Mental State Examination (MMSE). The study refers to 50 patients with mild dementia of AD, 26 patients with mild dementia of vascular etiology and to 54 cognitively normal subjects. The ACE and MMSE were validated against an expert diagnosis based on a comprehensive diagnostic workup. Statistical analysis was performed using the receiver operator characteristics method. The optimal cut-off score for the ACE for detecting dementia in patients with early AD was 85/86, which had a sensitivity of 93% and a specificity of 86%. The optimal cut-off for the ACE for the identification of dementia in patients with mild VaD was also 85/86 and it had a sensitivity of 93% and a specificity of 100%. The kappa values imply a substantial agreement between the diagnoses made by the ACE and the MMSE. The German version of the ACE is a short and practical but accurate test battery for the identification of AD and VaD, assessing a broad range of cognitive functions and providing a wide profile of cognitive functions/dysfunctions.

Speaking in Alzheimer’s disease, is that an early sign? Importance of changes in language abilities in Alzheimer’s Disease

Directory of Open Access Journals (Sweden)

Greta eSzatloczki

2015-10-01

Full Text Available It is known that Alzheimer’s disease (AD influences the temporal characteristics of spontaneous speech. These phonetical changes are present even in mild AD. Based on this, the question arises whether an examination based on language analysis could help the early diagnosis of AD and if so, which language and speech characteristics can identify AD in its early stage. The purpose of this article is to summarize the relation between prodromal and manifest AD and language functions and language domains. Based on our research we are inclined to claim that AD can be more sensitively detected with the help of a linguistic analysis than with other cognitive examinations. The temporal characteristics of spontaneous speech such as speech tempo, number of pauses in speech and their length are sensitive detectors of the early stage of the disease, which enables an early simple linguistic screening for AD. However, knowledge about the unique features of the language problems associated with different dementia variants still has to be improved and refined.

The early detection of antral malignancy in the postmaxillectomy patient

International Nuclear Information System (INIS)

Som, P.M.; Shugar, J.M.; Biller, H.F.

1982-01-01

A protocol was developed for the radiographic evaluation of the postmaxillectomy patient that called for a six- to eight-week postoperative, baseline computed tomography (CT) scan, followed by CT scans at four- to six-month intervals for at least three years. This protocol allowed for an early, more complete assessment of clinically discovered recurrences and the detection of clinically occult recurrences in three out of 18 patients who followed the protocol. The CT appearance of the normal partial and total maxillectomy is discussed, as well as the focal nodular soft-tissue findings suggestive of recurrent disease

The early detection of antral malignancy in the postmaxillectomy patient

Energy Technology Data Exchange (ETDEWEB)

Som, P.M. (Mount Sinai Hospital, New York); Shugar, J.M.; Biller, H.F.

1982-05-01

A protocol was developed for the radiographic evaluation of the postmaxillectomy patient that called for a six- to eight-week postoperative, baseline computed tomography (CT) scan, followed by CT scans at four- to six-month intervals for at least three years. This protocol allowed for an early, more complete assessment of clinically discovered recurrences and the detection of clinically occult recurrences in three out of 18 patients who followed the protocol. The CT appearance of the normal partial and total maxillectomy is discussed, as well as the focal nodular soft-tissue findings suggestive of recurrent disease.

75 FR 57472 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC): Notice of...

Science.gov (United States)

2010-09-21

... DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC): Notice of Charter Renewal This gives notice under the Federal Advisory Committee Act (Pub. L. 92-463) of October 6, 1972, that the...

EVALUATION OF SYMMETRIC DIMETHYLARGININE AS AN EARLY BIOMARKER OF CHRONIC KIDNEY DISEASE IN CAPTIVE CHEETAHS (ACINONYX JUBATUS).

Science.gov (United States)

Lamglait, Benjamin; Vandenbunder-Beltrame, Marielle

2017-09-01

Symmetric dimethylarginine (SDMA) has been shown to be a valuable biomarker for early detection of chronic kidney disease (CKD) in canine and feline patients. Recognition of early (subclinical) kidney disease would be of value in cheetahs (Acinonyx jubatus) as prevalence of CKD is relatively high in this species in captivity. Fifty-eight banked serum and plasma samples from seven adult cheetahs that died of CKD were analyzed for creatinine, urea, and SDMA. A marked increase in SDMA was noted on five of the tested cheetahs earlier than the rise of serum creatinine and urea (estimated 8-35 mo; mean 21.4 mo; median 22 mo). SDMA appears as an early biomarker to evaluate renal function for the diagnosis of CKD in cheetahs regardless of the cause of this disease.

Olfactory Dysfunction as an Early Biomarker in Parkinson's Disease

Institute of Scientific and Technical Information of China (English)

Michelle E.Fullard; James F.Morley; John E.Duda

2017-01-01

Olfactory dysfunction is common in Parkinson's disease (PD) and often predates the diagnosis by years,reflecting early deposition of Lewy pathology,the histologic hallmark of PD,in the olfactory bulb.Clinical tests are available that allow for the rapid characterization of olfactory dysfunction,including tests of odor identification,discrimination,detection,and recognition thresholds,memory,and tests assessing the build-up of odor intensity across increasing suprathreshold stimulus concentrations.The high prevalence of olfactory impairment,along with the ease and low cost of assessment,has fostered great interest in olfaction as a potential biomarker for PD.Hyposmia may help differentiate PD from other causes of parkinsonism,and may also aid in the identification of "pre-motor" PD due to the early pathologic involvement of olfactory pathways.Olfactory function is also correlated with other non-motor features of PD and may serve as a predictor of cognitive decline.In this article,we summarize the existing literature on olfaction in PD,focusing on the potential for olfaction as a biomarker for early or differential diagnosis and prognosis.

Detection of a sleep disorder predicting Parkinson's disease

DEFF Research Database (Denmark)

Hansen, Ingeborg H.; Marcussen, Mikkel; Christensen, Julie Anja Engelhard

2013-01-01

Idiopathic rapid eye-movement (REM) sleep behavior disorder (iRBD) has been found to be a strong early predictor for later development into Parkinson's disease (PD). iRBD is diagnosed by polysomnography but the manual evaluation is laborious, why the aims of this study are to develop supportive...... methods for detecting iRBD from electroencephalo-graphic (EEG) signals recorded during REM sleep. This method classified subjects from their EEG similarity with the two classes iRBD patients and control subjects. The feature sets used for classifying subjects were based on the relative powers of the EEG...

Early Detection Of Cancer

Directory of Open Access Journals (Sweden)

V B Bhatnagar

1987-04-01

Full Text Available Farly detection of cancer is based upon three fundamental assumptions, firstly that the trea'ment of benign and precancerous lesions reduces the incidence of cancer, secondly, that the treatment of in situ cancers is conducive to total cure and thirdly that early diagnosis and management of invasive cancer ensures be.ter survival. When patient seeks medical advice for vague symptoms, which could however be due to a possible malignant tumour at a particular site, the alert clinician should investigate the patient immediately to exclude cancer. At this stage cancer is usually not significantly advanced. Currently the U. I. C. C. (International Union for Cancer Control} is studying the epidemiology of cancers in various countries The importance of this is two folds : Firstly by focussing attention on a section of population vulnerable to a particular cancer an early detection is facilitated Secondly by changing the causative factors responsible to a particular cancer, the incidence of that cancer can be reduced e. g. reduction in lung cancer following campaigns against ciguette smoking and reductioi in breast cancer after campaigns for advocating breast feeding of infants, lowering fat consumption and encouraging self palpation of breast regularly. Indeed early diagnosis of cancer implies diagnosis of cancer in almost a symptomatic stage It involves motiva’ion of the population towards acquisitio : of knowledge, attitude and practice.. Epidemiologies and clinicians should be able to recognise high risk cases exposed to particular neoplasia and knowledge of alarming symptoms should be pro- pogated for wide publicity through common available media and means. Probable cases should have regular clhrcal examination periodically and relevant investigations including radiological, imaging techniques and Bio-Chemical examination should be undertaken as and when desired Suspicious lesions should be investigated by specific tests including smear cytology

Empowering underserved populations through cancer prevention and early detection.

Science.gov (United States)

Rivera-Colón, Venessa; Ramos, Roberto; Davis, Jenna L; Escobar, Myriam; Inda, Nikki Ross; Paige, Linda; Palencia, Jeannette; Vives, Maria; Grant, Cathy G; Green, B Lee

2013-12-01

It is well documented that cancer is disproportionately distributed in racial/ethnic minority groups and medically underserved communities. In addition, cancer prevention and early detection represent the key defenses to combat cancer. The purpose of this article is to showcase the comprehensive health education and community outreach activities at the H. Lee Moffitt Cancer Center and Research Institute (Moffitt) designed to promote and increase access to and utilization of prevention and early detection services among underserved populations. One of Moffitt's most important conduits for cancer prevention and early detection among underserved populations is through its community education and outreach initiatives, in particular, the Moffitt Program for Outreach Wellness Education and Resources (M-POWER). M-POWER works to empower underserved populations to make positive health choices and increase screening behaviors through strengthening collaboration and partnerships, providing community-based health education/promotion, and increasing access to care. Effective, empowering, and culturally and linguistically competent health education and community outreach, is key to opening the often impenetrable doors of cancer prevention and early detection to this society's most vulnerable populations.

Liquid Crystal Enabled Early Stage Detection of Beta Amyloid Formation on Lipid Monolayers

Energy Technology Data Exchange (ETDEWEB)

Sadati, Monirosadat [Institute for Molecular Engineering, University of Chicago, Chicago IL 60637 USA; Apik, Aslin Izmitli [Chemical and Biological Engineering, University of Wisconsin, Madison WI 53706 USA; Armas-Perez, Julio C. [Institute for Molecular Engineering, University of Chicago, Chicago IL 60637 USA; Martinez-Gonzalez, Jose [Institute for Molecular Engineering, University of Chicago, Chicago IL 60637 USA; Hernandez-Ortiz, Juan P. [Institute for Molecular Engineering, University of Chicago, Chicago IL 60637 USA; Departamento de Materiales y Minerales, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Calle 75 # 79A-51, Bloque M17 Medellín Colombia; Abbott, Nicholas L. [Chemical and Biological Engineering, University of Wisconsin, Madison WI 53706 USA; de Pablo, Juan J. [Institute for Molecular Engineering, University of Chicago, Chicago IL 60637 USA; Argonne National Laboratory, Argonne IL 60439 USA

2015-09-09

Liquid crystals (LCs) can serve as sensitive reporters of interfacial events, and this property has been used for sensing of synthetic or biological toxins. Here it is demonstrated that LCs can distinguish distinct molecular motifs and exhibit a specific response to beta-sheet structures. That property is used to detect the formation of highly toxic protofibrils involved in neurodegenerative diseases, where it is crucial to develop methods that probe the early-stage aggregation of amyloidogenic peptides in the vicinity of biological membranes. In the proposed method, the amyloid fibrils formed at the lipid-decorated LC interface can change the orientation of LCs and form elongated and branched structures that are amplified by the mesogenic medium; however, nonamyloidogenic peptides form ellipsoidal domains of tilted LCs. Moreover, a theoretical and computational analysis is used to reveal the underlying structure of the LC, thereby providing a detailed molecular-level view of the interactions and mechanisms responsible for such motifs. The corresponding signatures can be detected at nanomolar concentrations of peptide by polarized light microscopy and much earlier than the ones that can be identified by fluorescence-based techniques. As such, it offers the potential for early diagnoses of neurodegenerative diseases and for facile testing of inhibitors of amyloid formation.

Raman spectroscopy detection of platelet for Alzheimer’s disease with predictive probabilities

International Nuclear Information System (INIS)

Wang, L J; Du, X Q; Du, Z W; Yang, Y Y; Chen, P; Wang, X H; Cheng, Y; Peng, J; Shen, A G; Hu, J M; Tian, Q; Shang, X L; Liu, Z C; Yao, X Q; Wang, J Z

2014-01-01

Alzheimer’s disease (AD) is a common form of dementia. Early and differential diagnosis of AD has always been an arduous task for the medical expert due to the unapparent early symptoms and the currently imperfect imaging examination methods. Therefore, obtaining reliable markers with clinical diagnostic value in easily assembled samples is worthy and significant. Our previous work with laser Raman spectroscopy (LRS), in which we detected platelet samples of different ages of AD transgenic mice and non-transgenic controls, showed great effect in the diagnosis of AD. In addition, a multilayer perception network (MLP) classification method was adopted to discriminate the spectral data. However, there were disturbances, which were induced by noise from the machines and so on, in the data set; thus the MLP method had to be trained with large-scale data. In this paper, we aim to re-establish the classification models of early and advanced AD and the control group with fewer features, and apply some mechanism of noise reduction to improve the accuracy of models. An adaptive classification method based on the Gaussian process (GP) featured, with predictive probabilities, is proposed, which could tell when a data set is related to some kind of disease. Compared with MLP on the same feature set, GP showed much better performance in the experimental results. What is more, since the spectra of platelets are isolated from AD, GP has good expansibility and can be applied in diagnosis of many other similar diseases, such as Parkinson’s disease (PD). Spectral data of 4 month and 12 month AD platelets, as well as control data, were collected. With predictive probabilities, the proposed GP classification method improved the diagnostic sensitivity to nearly 100%. Samples were also collected from PD platelets as classification and comparison to the 12 month AD. The presented approach and our experiments indicate that utilization of GP with predictive probabilities in

Barriers to early detection of cervical-uterine cancer in Mexico.

Science.gov (United States)

Lazcano-Ponce, E C; Castro, R; Allen, B; Nájera, P; Alonso de Ruíz, P A; Hernández-Avila, M

1999-04-01

In Mexico, a woman dies of cervical-uterine cancer every 2 hours, indicating a low impact by the national program for early detection of this cancer, principally because of problems related to quality and coverage. Through a qualitative study, we identified the principal barriers to use of the detection program from the point of view of actual and potential program users. Four focus groups were organized in standard conditions in Mexico City (urban, developed) and in the southern state of Oaxaca (rural, economically disadvantaged area). Participants were either women with at least one previous Papanicolaou (Pap) test or women who had never had the test. Barriers to Pap test use included (1) lack of knowledge about cervical-uterine cancer etiology, (2) not knowing that the Pap test exists, (3) the conception that cancer is an inevitably fatal disease, (4) problems in doctor/medical institution-patient relationships, (5) giving priority to unmet needs related to extreme poverty, (6) opposition by the male sexual partner, (7) rejection of the pelvic examination, (8) long waits for sample collection and receiving results, and (9) perceived high costs for care. To increase coverage of the early detection program for cervical-uterine cancer in Mexico, the needs, perceptions, and beliefs of women and their partners must be taken into account when developing policy and planning, given the role these factors play in the decision-making process that leads to their participation or nonparticipation in this program.

The Intestinal Microbiome in Early Life: Health and Disease

Directory of Open Access Journals (Sweden)

Marie-Claire eArrieta

2014-09-01

Full Text Available Human microbial colonization begins at birth and continues to develop and modulate in species abundance for about three years, until the microbiota becomes adult-like. During the same time period, children experience significant developmental changes that influence their current health status as well as their immune system. An ever-expanding number of articles associate several diseases with early life imbalances of the gut microbiota, also referred to as gut microbial dysbiosis. Whether early life dysbiosis precedes and plays a role in disease pathogenesis, or simply originates from the disease process itself is a question that is beginning to be answered in a few diseases, including IBD, obesity and asthma. This review describes the gut microbiome structure and function during the formative first years of life, as well as the environmental factors that determine its composition. It also aims to discuss the recent advances in understanding the role of the early life gut microbiota in the development of immune-mediated, metabolic, and neurological diseases. A greater understanding of how the early life gut microbiota impacts our immune development could potentially lead to novel microbial-derived therapies that target disease prevention at an early age.

CT and MRI findings of Creutzfeldt-Jakob disease in the early stage. The usefulness of diffusion-weighted images

International Nuclear Information System (INIS)

Ukisu, Ryutaro; Kushihashi, Tamio; Gokan, Takehiko

2001-01-01

To detect subtle CT and MRI features of Creutzfeldt-Jacob disease (CJD) in the early stage is important to prevent a human-to-human transmission. This study included 10 patients of CJD who underwent CT and/or MRI in its early stage. CT, T1- and T2-weighted MRI, DWI, and FLAIR images were obtained in 10, 6, 4, and 2 patients respectively. On DWI, abnormal hyperintensities were observed in both cerebral cortex, and in basal ganglia in all patients. On FLAIR images, abnormal hyperintensies were observed in one patient. Detection of abnormal intensities may be possible in the early stage of CJD using MRI, particularly with DWI. (author)

CT and MRI findings of Creutzfeldt-Jakob disease in the early stage. The usefulness of diffusion-weighted images

Energy Technology Data Exchange (ETDEWEB)

Ukisu, Ryutaro; Kushihashi, Tamio; Gokan, Takehiko [Showa Univ., Tokyo (Japan). School of Medicine] [and others

2001-02-01

To detect subtle CT and MRI features of Creutzfeldt-Jacob disease (CJD) in the early stage is important to prevent a human-to-human transmission. This study included 10 patients of CJD who underwent CT and/or MRI in its early stage. CT, T1- and T2-weighted MRI, DWI, and FLAIR images were obtained in 10, 6, 4, and 2 patients respectively. On DWI, abnormal hyperintensities were observed in both cerebral cortex, and in basal ganglia in all patients. On FLAIR images, abnormal hyperintensies were observed in one patient. Detection of abnormal intensities may be possible in the early stage of CJD using MRI, particularly with DWI. (author)

Loop-mediated isothermal amplification (LAMP): Early detection of Toxoplasma gondii infection in mice

OpenAIRE

Kong, Qing-Ming; Lu, Shao-Hong; Tong, Qun-Bo; Lou, Di; Chen, Rui; Zheng, Bin; Kumagai, Takashi; Wen, Li-Yong; Ohta, Nobuo; Zhou, Xiao-Nong

2012-01-01

Abstract Background Toxoplasmosis is a widespread zoonotic parasitic disease that occurs in both animals and humans. Traditional molecular assays are often difficult to perform, especially for the early diagnosis of Toxoplasma gondii infections. Here, we established a novel loop-mediated isothermal amplification targeting the 529 bp repeat element (529 bp-LAMP) to detect T. gondii DNA in blood samples of experimental mice infected with tachyzoites of the RH strain. Findings The assay was perf...

Clinical Perspective of 3D Total Body Photography for Early Detection and Screening of Melanoma.

Science.gov (United States)

Rayner, Jenna E; Laino, Antonia M; Nufer, Kaitlin L; Adams, Laura; Raphael, Anthony P; Menzies, Scott W; Soyer, H Peter

2018-01-01

Melanoma incidence continues to increase across many populations globally and there is significant mortality associated with advanced disease. However, if detected early, patients have a very promising prognosis. The methods that have been utilized for early detection include clinician and patient skin examinations, dermoscopy (static and sequential imaging), and total body photography via 2D imaging. Total body photography has recently witnessed an evolution from 2D imaging with the ability to now create a 3D representation of the patient linked with dermoscopy images of individual lesions. 3D total body photography is a particularly beneficial screening tool for patients at high risk due to their personal or family history or those with multiple dysplastic naevi-the latter can make monitoring especially difficult without the assistance of technology. In this perspective, we discuss clinical examples utilizing 3D total body photography, associated advantages and limitations, and future directions of the technology. The optimal system for melanoma screening should improve diagnostic accuracy, be time and cost efficient, and accessible to patients across all demographic and socioeconomic groups. 3D total body photography has the potential to address these criteria and, most importantly, optimize crucial early detection.

Test performance of faecal occult blood testing for the detection of bowel cancer in people with chronic kidney disease (DETECT protocol

Directory of Open Access Journals (Sweden)

Williams Narelle

2011-06-01

Full Text Available Abstract Background Cancer is a major cause of mortality and morbidity in patients with chronic kidney disease (CKD. In patients without kidney disease, screening is a major strategy for reducing the risk of cancer and improving the health outcomes for those who developed cancers by detecting treatable cancers at an early stage. Among those with CKD, the effectiveness, the efficacy and patients' preferences for cancer screening are unknown. Methods/Design This work describes the protocol for the DETECT study examining the effectiveness, efficiency and patient's perspectives of colorectal cancer screening using immunochemical faecal occult blood testing (iFOBT for people with CKD. The aims of the DETECT study are 1 to determine the test performance characteristics of iFOBT screening in individuals with CKD, 2 to estimate the incremental costs and health benefits of iFOBT screening in CKD compared to no screening and 3 to elicit patients' perspective for colorectal cancer screening in the CKD population. Three different study designs will be used to explore the uncertainties surrounding colorectal cancer screening in CKD. A diagnostic test accuracy study of iFOBT screening will be conducted across all stages of CKD in patients ages 35-70. Using individually collected direct healthcare costs and outcomes from the diagnostic test accuracy study, cost-utility and cost-effective analyses will be performed to estimate the costs and health benefits of iFOBT screening in CKD. Qualitative in-depth interviews will be undertaken in a subset of participants from the diagnostic test accuracy study to investigate the perspectives, experiences, attitudes and beliefs about colorectal cancer screening among individuals with CKD. Discussion The DETECT study will target the three major unknowns about early cancer detection in CKD. Findings from our study will provide accurate and definitive estimates of screening efficacy and efficiency for colorectal cancer, and

Bone loss in unclassified polyarthritis and early rheumatoid arthritis is better detected by digital x ray radiogrammetry than dual x ray absorptiometry: relationship with disease activity and radiographic outcome

DEFF Research Database (Denmark)

Jensen, T; Klarlund, Mette; Hansen, M

2004-01-01

OBJECTIVE: To compare changes in regional bone mineral density (BMD) of the metacarpal joints measured by dual x ray absorptiometry (DXA) and digital x ray radiogrammetry (DXR) in relation to disease activity and radiographic outcome in a two year follow up study of patients with early RA...... polyarthritis. The patients with RA were divided into groups according to mean disease activity, average glucocorticoid dose, and MRI and x ray detected bone erosions in the hands. Clinical and biochemical measurements were made every month and an x ray examination of the hands and BMD of the metacarpal joints...

Missed, Misused, or Mismanaged: Improving Early Detection Systems to Optimize Child Outcomes

Science.gov (United States)

Macy, Marisa; Marks, Kevin; Towle, Alexander

2014-01-01

Early detection efforts have been shown to vary greatly in practice, and there is a general lack of systematic accountability built into monitoring early detection effort impact. This article reviews current early detection practices and the drawbacks of these practices, with particular attention given to prevalent issues of mismeasurement,…

Exercise, stress or what. The non-invasive detection of latent coronary artery disease

International Nuclear Information System (INIS)

Coltart, J.; Robinson, P.S.

1978-01-01

This communication discusses the methods of detecting latent coronary artery disease in an entirely asymptomatic individual with no previous symptoms or signs suggestive of coronary artery disease. Isotope techniques are being increasingly employed in the detection and assessment of coronary artery disease in that they may enable the confirmation of the presence of ischaemia, the extent and location of the underlying coronary artery disease and the effect of ischaemia on overall and regional left ventricular function. Three groups of techniques are commonly employed: 1. assessment of myocardial perfusion; 2. labelling of acute myocardial infarction; 3. overall and regional left ventricular function studies. Isotopes of potassium were initially studied, and, despite technical problems with imaging, 43 K has proved a useful agent in that over a range of coronary flow rates from normal to severely reduced flow, myocardial uptake parallels myocardial blood flow. Myocardial perfusion imaging should enhance the sensitivity and specificity of exercise testing in the symptomatic population and should also be helpful in the asymptomatic population although data on such populations are as yet extremely limited. Acute infarct labelling has little relevance to the very early detection of coronary artery disease. Assessment of overall and regional left ventricular function using gated blood pool scanning at rest and possibly also during exercise has potentially very wide applications in ischaemic heart disease and in combination with myocardial perfusion scanning in the assessment of symptomatic ischaemic heart disease and the detection of ischaemia and coronary artery disease in the asymptomatic population. (Auth.)

Direct detection of early-stage cancers using circulating tumor DNA

DEFF Research Database (Denmark)

Phallen, Jillian; Sausen, Mark; Adleff, Vilmos

2017-01-01

Early detection and intervention are likely to be the most effective means for reducing morbidity and mortality of human cancer. However, development of methods for noninvasive detection of early-stage tumors has remained a challenge. We have developed an approach called targeted error correction...

Early detection of Parkinson’s diseases by using the relation between time response and movement characteristics of human’s arms

Directory of Open Access Journals (Sweden)

Prasert Namwet

2016-08-01

Full Text Available Parkinson’s and stroke diseases are closely linked to the brain of the elderly. This study was to investigate the early detecting method of Parkinson’s disease by using the relation between the brain time response and the arm movement characteristics. 120 Healthy people were examined and classified into 4 groups of ages (60 years old.The relationship between the two parameters were conducted by using the self-made electronics set which had an accelerometer attached on the hammer; and pattern generator using star-pattern with 9-position lighted keypad. Several simple and complex light patterns were designed to test the brain function of the elderly. The experimental treatments were subjected to 4×2 Factorial Experiment in Completely Randomized Design (CRD. The results showed that the time response of the group of+60’s years old was the longest compared with other group with P<0.01. Based on the experiments on pattern-position approach, those selected samples with 4 groups of age completed the experiment with a sample pattern faster than the complex pattern in all 4 groups of age with P<0.01. The acceleration signal’s patterns in 20-40 years old and +60 years old were found polynomial and linear signal patterns, respectively. The relationship between the time response and acceleration signal were found negative monotonic correlated ( = 0.835, P < 0.01. Therefore, this finding could identify the healthy people without Parkinson’s disease with accuracy of 99.58 %. The results could be concluded that relationship between the time response and the acceleration signal could predict Parkinson’s disease and related diseases in the future.

Estrogen and early-onset Alzheimer's disease

NARCIS (Netherlands)

A.J.C. Slooter (Arjen); J.B. Bronzova (Juliana); A. Hofman (Albert); C. van Broeckhoven (Christine); C.M. van Duijn (Cornelia); J.C.M. Witteman (Jacqueline)

1999-01-01

textabstractEstrogen use may be protective for Alzheimer's disease with late onset. However, the effects on early onset Alzheimer's disease are unclear. This issue was studied in a population based setting. For each female patient, a female control was matched on age (within 5 years) and place of

CDC Disease Detective Camp

Centers for Disease Control (CDC) Podcasts

The CDC Disease Detective Camp gives rising high school juniors and seniors exposure to key aspects of the CDC, including basic epidemiology, infectious and chronic disease tracking, public health law, and outbreak investigations. The camp also helps students explore careers in public health.

Accumulation of murine amyloid-β mimics early Alzheimer's disease.

Science.gov (United States)

Krohn, Markus; Bracke, Alexander; Avchalumov, Yosef; Schumacher, Toni; Hofrichter, Jacqueline; Paarmann, Kristin; Fröhlich, Christina; Lange, Cathleen; Brüning, Thomas; von Bohlen Und Halbach, Oliver; Pahnke, Jens

2015-08-01

Amyloidosis mouse models of Alzheimer's disease are generally established by transgenic approaches leading to an overexpression of mutated human genes that are known to be involved in the generation of amyloid-β in Alzheimer's families. Although these models made substantial contributions to the current knowledge about the 'amyloid hypothesis' of Alzheimer's disease, the overproduction of amyloid-β peptides mimics only inherited (familiar) Alzheimer's disease, which accounts for patients with Alzheimer's disease. The inherited form is even regarded a 'rare' disease according to the regulations for funding of the European Union (www.erare.eu). Here, we show that mice that are double-deficient for neprilysin (encoded by Mme), one major amyloid-β-degrading enzyme, and the ABC transporter ABCC1, a major contributor to amyloid-β clearance from the brain, develop various aspects of sporadic Alzheimer's disease mimicking the clinical stage of mild cognitive impairment. Using behavioural tests, electrophysiology and morphological analyses, we compared different ABC transporter-deficient animals and found that alterations are most prominent in neprilysin × ABCC1 double-deficient mice. We show that these mice have a reduced probability to survive, show increased anxiety in new environments, and have a reduced working memory performance. Furthermore, we detected morphological changes in the hippocampus and amygdala, e.g. astrogliosis and reduced numbers of synapses, leading to defective long-term potentiation in functional measurements. Compared to human, murine amyloid-β is poorly aggregating, due to changes in three amino acids at N-terminal positions 5, 10, and 13. Interestingly, our findings account for the action of early occurring amyloid-β species/aggregates, i.e. monomers and small amyloid-β oligomers. Thus, neprilysin × ABCC1 double-deficient mice present a new model for early effects of amyloid-β-related mild cognitive impairment that allows investigations

Detecting cognitive impairment in patients with Parkinson's disease using a brief cognitive screening tool: Addenbrooke's Cognitive Examination (ACE

Directory of Open Access Journals (Sweden)

Anabel Chade

Full Text Available Abstract Detecting cognitive impairment in patients with Parkinson's disease is crucial for good clinical practice given the new therapeutic possibilities available. When full neuropsychological evaluations are not available, screening tools capable of detecting cognitive difficulties become crucial. Objective: The goal of this study was to investigate whether the Spanish version of the Addenbrooke's Cognitive Examination (ACE is capable of detecting cognitive difficulties in patients with Parkinson's disease and discriminating their cognitive profile from patients with dementia. Methods: 77 early dementia patients (53 with Alzheimer's Disease and 24 with Frontotemporal Dementia, 22 patients with Parkinson's disease, and 53 healthy controls were evaluated with the ACE. Results: Parkinson's disease patients significantly differed from both healthy controls and dementia patients on ACE total score. Conclusions: This study shows that the Spanish version of the ACE is capable of detecting patients with cognitive impairment in Parkinson's disease and is able to differentiate them from patients with dementia based on their general cognitive status.

Brightness-preserving fuzzy contrast enhancement scheme for the detection and classification of diabetic retinopathy disease.

Science.gov (United States)

Datta, Niladri Sekhar; Dutta, Himadri Sekhar; Majumder, Koushik

2016-01-01

The contrast enhancement of retinal image plays a vital role for the detection of microaneurysms (MAs), which are an early sign of diabetic retinopathy disease. A retinal image contrast enhancement method has been presented to improve the MA detection technique. The success rate on low-contrast noisy retinal image analysis shows the importance of the proposed method. Overall, 587 retinal input images are tested for performance analysis. The average sensitivity and specificity are obtained as 95.94% and 99.21%, respectively. The area under curve is found as 0.932 for the receiver operating characteristics analysis. The classifications of diabetic retinopathy disease are also performed here. The experimental results show that the overall MA detection method performs better than the current state-of-the-art MA detection algorithms.

Inflammation, coagulation, endothelial dysfunction and oxidative stress in prediabetes--Biomarkers as a possible tool for early disease detection for rural screening.

Science.gov (United States)

Maschirow, L; Khalaf, K; Al-Aubaidy, H A; Jelinek, H F

2015-06-01

This study aims to increase understanding of the connection between oxidative stress and inflammation in diabetes disease progression to provide a basis for investigating improved diagnostic possibilities, treatment and prevention of prediabetes. Differences in the level of biochemical markers of oxidative stress (erythrocyte GSH/GSSG and urinary 8-isoprostane), inflammation (CRP, IL-6), endothelial dysfunction (plasma homocysteine, urinary 8-hydroxy-2-deoxy-guanosine) and coagulation/fibrinolysis (C5a, D-Dimer) were determined in prediabetes and control subjects. While no difference was found in the 8-isoprostane levels between the two groups, the erythrocyte GSH/GSSG ratio was significantly reduced in the prediabetes group compared to control, indicating increased oxidative stress in the prediabetic state. Both urinary 8-OHdG and surprisingly also plasma homocysteine were significantly elevated in the prediabetes group, indicating endothelial dysfunction. The inflammation markers were slightly elevated in the prediabetic subjects and the same trend was found for the coagulation/fibrinolysis markers C5a and D-Dimer. These results were however not significant. The small elevation of blood glucose levels in the prediabetic state may have a detectable influence on endothelial function as indicated by changes to 8-OHdG, indicating an increased DNA-damage and homocysteine release from endothelial cells. Increased oxidative stress as indicated by the reduced GSH/GSSG ratio is likely to be the link between the moderate hyperglycaemia in prediabetes and pathological changes in endothelial function, which in the long-term may promote atherogenesis and result in the development of cardiovascular disease. Early detection of prediabetes is essential to avoid diabetes development and the associated complications like cardiovascular disease. The GSH/GSSG ratio and biomarkers like urinary 8-OHdG and plasma homocysteine offer a possible tool for the assessment of prediabetes in

Sensors and Instrumentation towards early detection of osteoporosis

KAUST Repository

Afsarimanesh, Nasrin; Mukhopadhyay, Subhas C; Kruger, Marlena; Yu, Pak-Lam; Kosel, Jü rgen

2016-01-01

A label-free non-invasive sensing system for detection of C-terminal telopeptide of type-I collagen (CTX-I) has been developed in order to detect bone loss at an early stage, by Electrochemical Impedance Spectroscopy (EIS). A planar interdigital

Research progress in early diagnosis of Alzheimer's disease

Directory of Open Access Journals (Sweden)

Meng-sha SUN

2018-04-01

Full Text Available Alzheimer's disease (AD is a kind of central nervous system degenerative disease with higher incidence, which has been paid increasing attention. The pathogenesis is not yet clear though it has been studied a lot. The existing theories focused on amyloid β-protein (Aβ deposit, hyperphosphorylation of tau and cholinergic neuronal loss. There is mainly symptomatic treatment which cannot reverse disease course. So early diagnosis is particularly important for prevention and treatment of AD. The article will review recent advances in the studies of early diagnosis of AD. It may help accurately diagnose the process from mild cognitive impairment (MCI to early AD and give advice on prevention and treatment. DOI: 10.3969/j.issn.1672-6731.2018.03.011

CDC Disease Detective Camp

Centers for Disease Control (CDC) Podcasts

2010-08-02

The CDC Disease Detective Camp gives rising high school juniors and seniors exposure to key aspects of the CDC, including basic epidemiology, infectious and chronic disease tracking, public health law, and outbreak investigations. The camp also helps students explore careers in public health.  Created: 8/2/2010 by Centers for Disease Control and Prevention (CDC).   Date Released: 8/2/2010.

HeartCare+: A Smart Heart Care Mobile Application for Framingham-Based Early Risk Prediction of Hard Coronary Heart Diseases in Middle East

Directory of Open Access Journals (Sweden)

Hoda Ahmed Galal Elsayed

2017-01-01

Full Text Available Background. Healthcare is a challenging, yet so demanding sector that developing countries are paying more attention to recently. Statistics show that rural areas are expected to develop a high rate of heart diseases, which is a leading cause of sudden mortality, in the future. Thus, providing solutions that can assist rural people in detecting the cardiac risks early will be vital for uncovering and even preventing the long-term complications of cardiac diseases. Methodology. Mobile technology can be effectively utilized to limit the cardiac diseases’ prevalence in rural Middle East. This paper proposes a smart mobile solution for early risk detection of hard coronary heart diseases that uses the Framingham scoring model. Results. Smart HeartCare+ mobile app estimates accurately coronary heart diseases’ risk over 10 years based on clinical and nonclinical data and classifies the patient risk to low, moderate, or high. HeartCare+ also directs the patients to further treatment recommendations. Conclusion. This work attempts to investigate the effectiveness of the mobile technology in the early risk detection of coronary heart diseases. HeartCare+ app intensifies the communication channel between the lab workers and patients residing in rural areas and cardiologists and specialist residing in urban places.

Morbidity in early Parkinson's disease and prior to diagnosis

DEFF Research Database (Denmark)

Frandsen, Rune; Kjellberg, Jakob; Ibsen, Rikke

2014-01-01

BACKGROUND: Nonmotor symptoms are probably present prior to, early on, and following, a diagnosis of Parkinson's disease. Nonmotor symptoms may hold important information about the progression of Parkinson's disease. OBJECTIVE: To evaluated the total early and prediagnostic morbidities in the 3......, poisoning and certain other external causes, and other factors influencing health status and contact with health services. It was negatively associated with neoplasm, cardiovascular, and respiratory diseases. CONCLUSIONS: Patients with a diagnosis of Parkinson's disease present significant differences...

Metabolic pattern analysis of early detection in Alzheimer's disease from other types of dementias and correlated with cognitive function

International Nuclear Information System (INIS)

Ju, R. H.; Lee, C. W.; Jung, Y. A.; Sohn, H. S.; Kim, S. H.; Seo, T. S

2004-01-01

PET/CT studies have demonstrated temporoparietal hypometabolism in probable and definite Alzheimer's disease (AD), a pattern that may help differentiate AD from other types of dementias. Seeking to distinguish Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), we examined brain glucose metabolism of DLB and AD. Identification of individual differences in patterns of regional cerebral glucose metabolism (rCMRglc) interactions may be important for early detection of AD. We elucidate the relationship between reduced cognitive function and cerebral metabolism. Ten patients with the diagnosis of AD, 3 DLB patients underwent 18F-FDG PET CT. We applied statistical mapping procedure to evaluate the diagnostic power of rCMRglc patterns for differentiation and also correlated with Korean-mini mental status exam (K-MMSE) score include orientation time, place, registration, attention, calculation, recaIl, language and visuospatial function. Glucose metabolic pattern analysis confirmed AD and DLB patients showed significant metabolic reductions involving parietotemporal association, posterior cingulate, and frontal association cortex. DLB patients showed significant metabolic reductions in the occipital cortex, particularly in the primary visual cortex. Covariate analysis revealed that occipital metabolic changes in DLB were independent from those in the adjacent parietotemporal cortices. AnaIysis of clinically diagnosed probable AD patients showed a significantly higher frequency of primary visual metabolic reduction among patients who fulfilled clinical criteria for DLB. occipital hypometabolism is a potential discriminate marker to distinguish DLB versus AD

JAK2V617F mutation in chronic myeloid leukemia predicts early disease progression

International Nuclear Information System (INIS)

Pahore, Z.A.A.; Shamsi, T.S.; Taj, M.; Farzana, T.; Ansari, S.H.; Nadeem, M.; Ahmad, M.; Naz, A.

2011-01-01

Objective: To determine the association of JAK2V617F mutation along with BCR-ABL translocation or Philadelphia chromosome in chronic myeloid leukemia with early disease progression to advanced stages (accelerated phase or blast crisis) and poor outcome. Study Design: Case series. Place and Duration of Study: National Institute of Blood Diseases and Bone Marrow Transplantation, Karachi, from February 2008 to August 2009. Methodology: All the newly diagnosed cases of BCR-ABL or Philadelphia positive CML were tested for JAK2V617F mutation by Nested PCR. Demographic data, spleen size, hemoglobin levels, white blood cell and platelet counts were recorded. Independent sample t-test was used for age, haemoglobin level and spleen size. Fisher's exact test was applied to compare disease progression in JAK2V617F mutation positive and negative cases. Results: Out of 45 newly diagnosed cases of CML, 40 were in chronic phase, 01 in accelerated phase and 04 in blast crisis. JAK2V617F mutation was detected in 12 (26.7%) patients; 09 (22.5%) in chronic phase, none in accelerated phase and 03 (75%) in blast crisis. During a mean follow-up of 8 months, 03 patients in chronic phase transformed in blast crisis and 02 into accelerated phase. Overall 08 out of 11 (73%) JAK2V617F positive patients either had advanced disease or showed disease progression. Only 2 of 20 (10%) available patients, negative for the mutation, showed disease progression by transforming into blast crisis (p < 0.001). No statistically significant difference was seen in the age, spleen size, haemoglobin levels, white blood cells and platelets counts in JAK2V617F positive patients. Conclusion: JAK2V617F mutation was detected in 26.7% cases of chronic myeloid leukemia. A significant proportion of them showed early disease progression. (author)

Study on Analysis and Pattern Recognition of the Manifestation of the Pulse Detection of Cerebrovascular Disease

Energy Technology Data Exchange (ETDEWEB)

Jing, J; Wang, Y C; Hong, W X; Zhang, W P [Department of Biomedical Engineering, University of Yanshan, Qinhuangdao, Hebei Province, 066004 (China)

2006-10-15

Cerebrovascular Disease (CVD) is also called stroke in Traditional Chinese Medicine (TCM). CVD is a kind of frequent diseases with high incidence, high death rate, high deformity rate and high relapse rate. The pathogenesis of CVD has relation to many factors. In modern medicine, we can make use of various instruments to check many biochemical parameters. However, at present, the early detection of CVD can mostly be done artificially by specialists. In TCM the salted expert can detect the state of a CVD patient by felling his (or her) pulse. It is significant to apply the modern information and engineering techniques to the early discovery of CVD. It is also a challenge to do this in fact. In this paper, the authors presented a detection method of CVD basing on analysis and pattern recognition of Manifestation of the Pulse of TCM using wavelet technology and Neural Networks. Pulse signals from normal health persons and CVD patients were studied comparatively. This research method is flexible to deal with other physiological signals.

Global Disease Detectives

Centers for Disease Control (CDC) Podcasts

2010-09-21

This podcast documents U.S. efforts to prevent, detect, and control emerging infectious diseases, such as SARS and pandemic influenza.  Created: 9/21/2010 by CDC Center for Global Health.   Date Released: 9/21/2010.

Non-invasive detection of the early phase of kidney injury by photoacoustic/computed tomography imaging

Science.gov (United States)

Pan, Wanma; Peng, Wen; Ning, Fengling; Zhang, Yu; Zhang, Yunfei; Wang, Yinhang; Xie, Weiyi; Zhang, Jing; Xin, Hong; Li, Cong; Zhang, Xuemei

2018-06-01

The early diagnosis of kidney diseases, which can remarkably impair the quality of life and are costly, has encountered great difficulties. Therefore, the development of methods for early diagnosis has great clinical significance. In this study, we used an emerging technique of photoacoustic (PA) imaging, which has relatively high spatial resolution and good imaging depth. Two kinds of PA gold nanoparticle (GNP)-based bioprobes were developed based on their superior photo detectability, size controllability and biocompatibility. The kidney injury mouse model was developed by unilateral ureteral obstruction for 96 h and the release of obstruction model). Giving 3.5 and 5.5 nm bioprobes by tail vein injection, we found that the 5.5 nm probe could be detected in the bladder in the model group, but not in the control group. These results were confirmed by computed tomography imaging. Furthermore, the model group did not show changes in the blood biochemical indices (BUN and Scr) and histologic examination. The 5.5 nm GNPs were found to be the critical point for early diagnosis of kidney injury. This new method was faster and more sensitive and accurate for the detection of renal injury, compared with conventional methods, and can be used for the development of a PA GNP-based bioprobe for diagnosing renal injury.

Malignant external otitis: early scintigraphic detection

International Nuclear Information System (INIS)

Strashun, A.M.; Nejatheim, M.; Goldsmith, S.J.

1984-01-01

Pseudomonas otitis externa in elderly diabetics may extend aggressively to adjacent bone, cranial nerves, meninges, and vessels, leading to a clinical diagnosis of ''malignant'' external otitis. Early diagnosis is necessary for successful treatment. This study compares the findings of initial radiographs, thin-section tomography of temporal bone, CT scans of head and neck, technetium-99m methylene diphosphonate (MDP) and gallium-67 citrate scintigraphy, and single-photon emission computed tomography (SPECT) for detection of temporal bone osteomylitis in ten patients fulfilling the clinical diagnostic criteria of malignant external otitis. Skull radiographs were negative in all of the eight patients studied. Thin-section tomography was positive in one of the seven patients studied using this modality. CT scanning suggested osteomyelitis in three of nine patients. Both Tc-99m and Ga-67 citrate scintigraphy were positive in 10 of 10 patients. These results suggest that technetium and gallium scintigraphy are more sensitive than radiographs and CT scans for early detection of malignant external otitis

Early detection of invasive plants: principles and practices

Science.gov (United States)

Welch, Bradley A.; Geissler, Paul H.; Latham, Penelope

2014-01-01

Invasive plants infest an estimated 2.6 million acres of the 83 million acres managed by the National Park Service (NPS) in the United States. The consequences of these invasions present a significant challenge for the NPS to manage the agency’s natural resources “unimpaired for the enjoyment of future generations.” More NPS lands are infested daily despite diligent efforts to curtail the problem. Impacts from invasive species have been realized in most parks, resulting in an expressed need to control existing infestations and restore affected ecosystems. There is a growing urgency in the NPS and other resource management organizations to be proactive. The NPS I&M Program, in collaboration with the U.S. Geological Survey (USGS) Status and Trends Program, compiled this document to provide guidance and insight to parks and other natural areas engaged in developing early-detection monitoring protocols for invasive plants. While several rapid response frameworks exist, there is no consistent or comprehensive guidance informing the active detection of nonnative plants early in the invasion process. Early-detection was selected as a primary focus for invasive-species monitoring because, along with rapid response, it is a key strategy for successful management of invasive species. Eradication efforts are most successful on small infestations (that is less than 1 hectare) and become less successful as infestation size increases, to the point that eradication is unlikely for large (that is greater than 1,000 hectares) populations of invasive plants. This document provides guidance for natural resource managers wishing to detect invasive plants early through an active, directed monitoring program. It has a Quick-Start Guide to direct readers to specific chapters and text relevant to their needs. Decision trees and flow charts assist the reader in deciding what methods to choose and when to use them. This document is written in a modular format to accommodate use of

Detecting cognitive impairment in patients with Parkinson's disease with a brief cognitive screening tool: the Addenbrooke's Cognitive Examination (ACE).

Science.gov (United States)

Chade, Anabel; Roca, María; Torralva, Teresa; Gleichgerrcht, Ezequiel; Fabbro, Nicolás; Arévalo, Gonzalo Gómez; Gershanik, Oscar; Manes, Facundo

2008-01-01

Detecting cognitive impairment in patients with Parkinson's disease is crucial for good clinical practice given the new therapeutic possibilities available. When full neuropsychological evaluations are not available, screening tools capable of detecting cognitive difficulties become crucial. The goal of this study was to investigate whether the Spanish version of the Addenbrooke's Cognitive Examination (ACE) is capable of detecting cognitive difficulties in patients with Parkinson's disease and discriminating their cognitive profile from patients with dementia. 77 early dementia patients (53 with Alzheimer's Disease and 24 with Frontotemporal Dementia), 22 patients with Parkinson's disease, and 53 healthy controls were evaluated with the ACE. Parkinson's disease patients significantly differed from both healthy controls and dementia patients on ACE total score. This study shows that the Spanish version of the ACE is capable of detecting patients with cognitive impairment in Parkinson's disease and is able to differentiate them from patients with dementia based on their general cognitive status.

Can Biomarkers Help the Early Diagnosis of Parkinson's Disease?

Institute of Scientific and Technical Information of China (English)

Weidong Le; Jie Dong; Song Li; Amos D.Korczyn

2017-01-01

Parkinson's disease (PD) is a complex neurodegenerative disease with progressive loss of dopamine neurons.PD patients usually manifest a series of motor and non-motor symptoms.In order to provide better early diagnosis and subsequent disease-modifying therapies for PD patients,there is an urgent need to identify sensitive and specific biomarkers.Biomarkers can be divided into four categories:clinical,imaging,biochemical,and genetic.Ideal biomarkers not only improve our understanding of PD pathogenesis and progression,but also provide benefits for early risk evaluation and clinical diagnosis of PD.Although many efforts have been made and several biomarkers have been extensively investigated,few if any have been found useful for early diagnosis.Here,we summarize recent developments in the discovered biomarkers of PD and discuss their merits and limitations for the early diagnosis of PD.

Pathways of Prion Spread during Early Chronic Wasting Disease in Deer.

Science.gov (United States)

Hoover, Clare E; Davenport, Kristen A; Henderson, Davin M; Denkers, Nathaniel D; Mathiason, Candace K; Soto, Claudio; Zabel, Mark D; Hoover, Edward A

2017-05-15

Among prion infections, two scenarios of prion spread are generally observed: (i) early lymphoid tissue replication or (ii) direct neuroinvasion without substantial antecedent lymphoid amplification. In nature, cervids are infected with chronic wasting disease (CWD) prions by oral and nasal mucosal exposure, and studies of early CWD pathogenesis have implicated pharyngeal lymphoid tissue as the earliest sites of prion accumulation. However, knowledge of chronological events in prion spread during early infection remains incomplete. To investigate this knowledge gap in early CWD pathogenesis, we exposed white-tailed deer to CWD prions by mucosal routes and performed serial necropsies to assess PrP CWD tissue distribution by real-time quaking-induced conversion (RT-QuIC) and tyramide signal amplification immunohistochemistry (TSA-IHC). Although PrP CWD was not detected by either method in the initial days (1 and 3) postexposure, we observed PrP CWD seeding activity and follicular immunoreactivity in oropharyngeal lymphoid tissues at 1 and 2 months postexposure (MPE). At 3 MPE, PrP CWD replication had expanded to all systemic lymphoid tissues. By 4 MPE, the PrP CWD burden in all lymphoid tissues had increased and approached levels observed in terminal disease, yet there was no evidence of nervous system invasion. These results indicate the first site of CWD prion entry is in the oropharynx, and the initial phase of prion amplification occurs in the oropharyngeal lymphoid tissues followed by rapid dissemination to systemic lymphoid tissues. This lymphoid replication phase appears to precede neuroinvasion. IMPORTANCE Chronic wasting disease (CWD) is a universally fatal transmissible spongiform encephalopathy affecting cervids, and natural infection occurs through oral and nasal mucosal exposure to infectious prions. Terminal disease is characterized by PrP CWD accumulation in the brain and lymphoid tissues of affected animals. However, the initial sites of prion

Ophthalmic examination in early diagnosis of Alzheimer's disease

Directory of Open Access Journals (Sweden)

Xin Li

2018-02-01

Full Text Available Alzheimer's disease is a progressive neurodegenerative disorder causing irreversible deterioration in memory and loss of self-care ability, which is seriously affecting the quality of life. There is no cure for Alzheimer's disease. Medication only can control the progression of the disease. Early diagnosis and control of disease progress is of great significance in improving the quality of life of the patients and reducing the burden of family and society. Ophthalmic examination is seen as a window which can “see” brain directly, and some changes in the eye can reflect the changes of the brain most directly. This paper reviews the ophthalmic examination of Alzheimer's disease, including optical coherence tomography(OCT, visual field, contrast sensitivity and eye movements, et al. We hope to provide a new idea for the early diagnosis of Alzheimer's disease.

Education concerning carcinoma of prostate and its early detection.

Science.gov (United States)

Dutkiewcz, Sławomir; Jędrzejewska, Sylwia

2011-01-01

Prostate cancer is the most common male cancer. Insufficient knowledge of PCa among men causes its low detection. Lack of essential actions in health education and widely understood prophylaxis, the need of the latter are maybe responsible for the increasing mortality rate. According to our assumption, educating men increase their awareness on the need of screening tests and results in increasing reporting to physical examinations. This in turn allows for an early detection of the disease. A research was conducted between the years 2003-2009 on the knowledge of PCa among 260 men. They were divided into two groups. Group A - 63 patients treated for carcinoma of prostate and group B - 197 men reporting spontaneously to screening tests. In order to check the adopted hypothesis, we prepared an educational material and test of knowledge - test with a questionnaire. Knowledge was evaluated before (test I) and after the education process (test II). Until 2009, we were monitoring the number of patients from group B reporting to screening tests and their knowledge was once again checked (test III). Two subgroups C and D were created from group B - 117 healthy men and 80 with diagnosed diseases respectively (70 with benign prostatic hyperplasia, 7 with prostatitis, and 3 with carcinoma of prostate). Patients with prostatitis and PCa and 3 patients from group C not reporting to the tests were excluded from further monitoring. Maths statistics with the use of SPSS 12.0 PL program and Statistica 6.0 constituted the base for working out the results. We observed a higher knowledge about carcinoma of prostate in group A than in group B (p 40 from groups C and D were interested in health care (p70 a lower level of motivation was observed. The interest was proportional to the level of education, and this was differentiating in an analogical way the motivation to extend knowledge about prostate cancer (padvanced state, and during 5 years in group C - in 4 men at an early development

Performance of classification criteria for gout in early and established disease

DEFF Research Database (Denmark)

Taylor, William J; Fransen, Jaap; Dalbeth, Nicola

2016-01-01

OBJECTIVES: To compare the sensitivity and specificity of different classification criteria for gout in early and established disease. METHODS: This was a cross-sectional study of consecutive rheumatology clinic patients with joint swelling in which gout was defined by presence or absence...... of monosodium urate crystals as observed by a certified examiner at presentation. Early disease was defined as patient-reported onset of symptoms of 2 years or less. RESULTS: Data from 983 patients were collected and gout was present in 509 (52%). Early disease was present in 144 gout cases and 228 non.......3%/84.4% and 86.4%/63.6%. Criteria not requiring synovial fluid analysis had sensitivity and specificity of less than 80% in early and established disease. CONCLUSIONS: Existing classification criteria for gout have sensitivity of over 80% in early and established disease but currently available criteria that do...

Are Upper-Body Axial Symptoms a Feature of Early Parkinson’s Disease?

Science.gov (United States)

Moreau, Caroline; Baille, Guillaume; Delval, Arnaud; Tard, Céline; Perez, Thierry; Danel-Buhl, Nicolas; Seguy, David; Labreuche, Julien; Duhamel, Alain; Delliaux, Marie; Dujardin, Kathy; Defebvre, Luc

2016-01-01

Background Axial disorders are considered to appear late in the course of Parkinson’s disease (PD). The associated impact on quality of life (QoL) and survival and the lack of an effective treatment mean that understanding and treating axial disorders is a key challenge. However, upper-body axial disorders (namely dysarthria, swallowing and breathing disorders) have never been prospectively assessed in early-stage PD patients. Objectives To characterize upper-body axial symptoms and QoL in consecutive patients with early-stage PD. Methods We prospectively enrolled 66 consecutive patients with early-stage PD (less than 3 years of disease progression) and assessed dysarthria, dysphagia and respiratory function (relative to 36 controls) using both objective and patient-reported outcomes. Results The mean disease duration was 1.26 years and the mean UPDRS motor score was 19.4 out of 108. 74% of the patients presented slight dysarthria (primarily dysprosodia). Men appeared to be more severely affected (i.e. dysphonia). This dysfunction was strongly correlated with low swallowing speed (despite the absence of complaints about dysphagia), respiratory insufficiency and poor QoL. Videofluorography showed that oral-phase swallowing disorders affected 60% of the 31 tested patients and that pharyngeal-phase disorders affected 21%. 24% of the patients reported occasional dyspnea, which was correlated with anxiety in women but not in men. Marked diaphragmatic dysfunction was suspected in 42% of the patients (predominantly in men). Conclusion Upper body axial symptoms were frequent in men with early-stage PD, whereas women presented worst non-motor impairments. New assessment methods are required because currently available tools do not reliably detect these upper-body axial disorders. PMID:27654040

NEUROIMAGING AND PATTERN RECOGNITION TECHNIQUES FOR AUTOMATIC DETECTION OF ALZHEIMER’S DISEASE: A REVIEW

Directory of Open Access Journals (Sweden)

Rupali Kamathe

2017-08-01

Full Text Available Alzheimer’s disease (AD is the most common form of dementia with currently unavailable firm treatments that can stop or reverse the disease progression. A combination of brain imaging and clinical tests for checking the signs of memory impairment is used to identify patients with AD. In recent years, Neuroimaging techniques combined with machine learning algorithms have received lot of attention in this field. There is a need for development of automated techniques to detect the disease well before patient suffers from irreversible loss. This paper is about the review of such semi or fully automatic techniques with detail comparison of methods implemented, class labels considered, data base used and the results obtained for related study. This review provides detailed comparison of different Neuroimaging techniques and reveals potential application of machine learning algorithms in medical image analysis; particularly in AD enabling even the early detection of the disease- the class labelled as Multiple Cognitive Impairment.

Identification of type IV collagen exposure as a molecular imaging target for early detection of thoracic aortic dissection

Science.gov (United States)

Xu, Ke; Xu, Chen; Zhang, Yanzhenzi; Qi, Feiran; Yu, Bingran; Li, Ping; Jia, Lixin; Li, Yulin; Xu, Fu-jian; Du, Jie

2018-01-01

Thoracic aortic dissection (TAD) is an aggressive and life-threatening vascular disease and there is no effective means of early diagnosis of dissection. Type IV collagen (Col-IV) is a major component of the sub-endothelial basement membrane, which is initially exposed followed by endothelial injury as early-stage event of TAD. So, we want to build a noninvasive diagnostic method to detect early dissection by identifying the exposed Col-IV via MRI. Methods: Col-IV-targeted magnetic resonance/ fluorescence dual probe (Col-IV-DOTA-Gd-rhodamine B; CDR) was synthesized by amide reaction and coordination reaction. Flow cytometry analysis was used to evaluate the cell viability of SMC treated with CDR and fluorescence assays were used to assess the Col-IV targeting ability of CDR in vitro. We then examined the sensitivity and specificity of CDR at different stages of TAD via MRI and bioluminescence imaging in vivo. Results: The localization of Col-IV (under the intima) was observed by histology images. CDR bound specifically to Col-IV-expressing vascular smooth muscle cells and BAPN-induced dissected aorta. The CDR signal was co-detected by magnetic resonance imaging (MRI) and bioluminescence imaging as early as 2 weeks after BAPN administration (pre-dissection stage). The ability to detect rupture of dissected aorta was indicated by a strong normalized signal enhancement (NSE) in vivo. Moreover, NSE was negatively correlated with the time of dissection rupture after BAPN administration (r2 = 0.8482). Conclusion: As confirmed by in vivo studies, the CDR can identify the exposed Col-IV in degenerated aorta to monitor the progress of aortic dissection from the early stage to the rupture via MRI. Thus, CDR-enhanced MRI proposes a potential method for dissection screening, and for monitoring disease progression and therapeutic response. PMID:29290819

Long-term follow-up of the TIPS early detection in psychosis study

DEFF Research Database (Denmark)

Simonsen, Erik; Hegelstad, Wenche ten Welden; Larsen, Tor Ketil

2012-01-01

ill patients dropping out of the study in the usual-detection area. Except for higher levels of excitative symptoms in the early-detection area, there were no symptom differences between the groups. Early-detection recovery rates were higher largely because of higher employment rates for patients...

Change of central cholinergic receptors following lesions of nucleus basalis magnocellularis in rats: search for an imaging index suitable for the early detection of Alzheimer's disease

International Nuclear Information System (INIS)

Ogawa, Mikako; Iida, Yasuhiko; Nakagawa, Masaki; Kuge, Yugi; Kawashima, Hidekazu; Tominaga, Akiko; Ueda, Masashi; Magata, Yasuhiro; Saji, Hideo

2006-01-01

Cholinergic system in the central nervous system is involved in the memory function. Thus, because the dysfunction of cholinergic system that project to the cerebral cortex from nucleus basalis of Meynert (nbM) would be implicated in the memory function deficits in Alzheimer's disease (AD), evaluating cholinergic function may be useful for the early detection of AD. In this study, because the nucleus basalis magnocellularis (NBM) in rats is equivalent to nbM in human, we investigated the change in cholinergic receptors in the frontal cortex of rats with unilateral lesion to the NBM to find an appropriate index for the early detection of AD using techniques of nuclear medicine. The right NBM was injected with ibotenic acid. [ 18 F]FDG-PET images were obtained 3 days later. Some rats were sacrificed at 1 week, whereas others were subjected to a second [ 18 F]FDG-PET at 4 weeks then sacrificed for membrane preparation. The prepared membranes were subjected to radioreceptor assays to measure the density of nicotinic and muscarinic acetylcholine receptors. Glucose metabolism had decreased on the damaged side compared to the control side at 3 days, but at 4 weeks, there was no difference between the sides. Nicotinic acetylcholine receptors had significantly decreased in density compared to the control side at both 1 and 4 weeks. However, muscarinic receptors were not affected. These results suggested that neuronal dysfunction in AD could be diagnosed at an early stage by imaging nicotinic acetylcholine receptors

Interest of active posturography to detect age-related and early Parkinson's disease-related impairments in mediolateral postural control.

Science.gov (United States)

Bonnet, Cédrick T; Delval, Arnaud; Defebvre, Luc

2014-11-15

Patients with Parkinson's disease display impairments of postural control most particularly in active, challenging conditions. The objective of the present study was to analyze early signs of disease-related and also age-related impairments in mediolateral body extension and postural control. Fifty-five participants (18 Hoehn and Yahr stage 2 patients in the off-drug condition, 18 healthy elderly control subjects, and 19 young adults) were included in the study. The participants performed a quiet stance task and two active tasks that analyzed the performance in mediolateral body motion: a limit of stability and a rhythmic weight shift task. As expected, the patients displayed significantly lower and slower body displacement (head, neck, lower back, center of pressure) than elderly control subjects when performing the two body excursion tasks. However, the behavioral variability in both tasks was similar between the groups. Under these active conditions, the patients showed significantly lower contribution of the hip postural control mechanisms compared with the elderly control subjects. Overall, the patients seemed to lower their performance in order to prevent a mediolateral postural instability. However, these patients, at an early stage of their disease, were not unstable in quiet stance. Complementarily, elderly control subjects displayed slower body performance than young adults, which therefore showed an additional age-related impairment in mediolateral postural control. Overall, the study illustrated markers of age-related and Parkinson's disease impairments in mediolateral postural control that may constrain everyday activities in elderly adults and even more in patients with Parkinson's disease. Copyright © 2014 the American Physiological Society.

Pathologic features of early inflammatory bowel disease.

Science.gov (United States)

Finkelstein, Sydney D; Sasatomi, Eizaburo; Regueiro, Miguel

2002-03-01

Often the pathologic changes of IBD are subtle and may not be present in a proportion of biopsy specimens. In cases of early disease, the changes may be missed, and additional specimens should be taken after a period of time. Modifying factors, such as prebiopsy treatment and coexisting disease, should be considered. A forum to review cases and allow for communication between gastroenterologists and pathologists is especially useful for clinicopathologic correlation and assignment of a working diagnosis to each case. Careful attention to the pathologic features of early UC and CD would be most useful when evaluating new therapies for IBD.

Biomarker for early renal microvascular and diabetic kidney diseases.

Science.gov (United States)

Futrakul, Narisa; Futrakul, Prasit

2017-11-01

Recognition of early stage of diabetic kidney disease, under common practice using biomarkers, namely microalbuminuria, serum creatinine level above 1 mg/dL and accepted definition of diabetic kidney disease associated with creatinine clearance value below 60 mL/min/1.73 m 2 , is unlikely. This would lead to delay treatment associated with therapeutic resistance to vasodilator due to a defective vascular homoeostasis. Other alternative biomarkers related to the state of microalbuminuria is not sensitive to screen for early diabetic kidney disease (stages I, II). In this regard, a better diagnostic markers to serve for this purpose are creatinine clearance, fractional excretion of magnesium (FE Mg), cystatin C. Recently, renal microvascular disease and renal ischemia have been demonstrated to correlate indirectly with the development of diabetic kidney disease and its function. Among these are angiogenic and anti-angiogenic factors, namely VEGF, VEGF receptors, angiopoietins and endostatin. With respect to therapeutic prevention, implementation of treatment at early stage of diabetic and nondiabetic kidney disease is able to restore renal perfusion and function.

Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review.

Science.gov (United States)

Pivette, Mathilde; Mueller, Judith E; Crépey, Pascal; Bar-Hen, Avner

2014-11-18

This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed.

Screening Detected Celiac Disease in Children

OpenAIRE

Webb, Charlotta

2014-01-01

Background: The prevalence of celiac disease (CD) is estimated to be around 1%, but most CD cases are undiagnosed. Sweden experienced an epidemic of clinically detected celiac disease in children younger than 2 years of age, partly due to changes in infant feeding practices, were the amount of gluten and age at introduction was changed. However, it was not clear if the increase in clinically detected children was due to more CD cases being detected due to symptoms and thus previously undia...

Colorectal Cancer: The Importance of Early Detection

Science.gov (United States)

... of this page please turn JavaScript on. Feature: Colorectal Cancer The Importance of Early Detection Past Issues / Summer ... Cancer of the colon or rectum is called colorectal cancer. The colon and the rectum are part of ...

Kick Detection at the Bit: Early Detection via Low Cost Monitoring

Energy Technology Data Exchange (ETDEWEB)

Tost, Brian [National Energy Technology Lab. (NETL), Albany, OR (United States). Oak Ridge Inst. for Science and Education (ORISE); Rose, Kelly [National Energy Technology Lab. (NETL), Albany, OR (United States); Aminzadeh, Fred [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Petroleum Engineering; Ante, Magdalene A. [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Petroleum Engineering; Huerta, Nicolas [National Energy Technology Lab. (NETL), Albany, OR (United States)

2016-06-07

Formation fluid influxes (i.e. kicks) pose persistent challenges and operational costs during drilling operations. Implications of kicks range in scale but cumulatively result in substantial costs that affect drilling safety, environment, schedule, and infrastructure. Early kick detection presents a low-cost, easily adopted solution for avoiding well control challenges associated with kicks near the bit. Borehole geophysical tools used during the drilling process as part of the logging-while-drilling (LWD) and measurement-while-drilling (MWD) provide the advantage of offering real-time downhole data. LWD/MWD collect data on both the annulus and borehole wall. The annular data are normally treated as background, and are filtered out to isolate the formation measurements. Because kicks will change the local physical properties of annular fluids, bottom-hole measurements are among the first indicators that a formation fluid has invaded the wellbore. This report describes and validates a technique for using the annular portion of LWD/MWD data to facilitate early kick detection using first order principles. The detection technique leverages data from standard and cost-effective technologies that are typically implemented during well drilling, such as MWD/LWD data in combination with mud-pulse telemetry for data transmission.

Scintigraphy versus radiography in the early diagnosis of experimental bone necrosis with special reference to caisson disease of bone

International Nuclear Information System (INIS)

Gregg, P.J.; Walder, D.N.

1980-01-01

The early diagnosis of caisson disease of bone is hindered by the long delay which must elapse before an abnormality becomes apparent on a radiograph. The possible use of bone scintigraphy for this purpose was investigated. Necrosis of the bone and marrow was produced in rabbits by glass microspheres to simulate persistent gas-bubble emboli and then serial radiographs and scintigrams using sup(99m)Tc-diphosphonate were obtained. Regions of necrosis could be detected as 'hot spots' on the scintigrams as early as three weeks after the causative insult, which was many weeks before any abnormality could be detected on the radiographs. Histological examination of excised femora suggested that the scintigraphic abnormality might depend on the new bone formation established during a reactive or repair process. It is suggested that scintigraphy may have clinical value in caisson disease. (author)

Scintigraphy versus radiography in the early diagnosis of experimental bone necrosis, with special reference to caisson disease of bone.

Science.gov (United States)

Gregg, P J; Walder, D N

1980-05-01

The early diagnosis of caisson disease of bone is hindered by the long delay which must elapse before an abnormality becomes apparent on a radiograph. The possible use of bone scintigraphy for this purpose was investigated. Necrosis of the bone and marrow was produced in rabbits by glass microspheres to simulate persistent gas-bubble emboli and then serial radiographs and scintigrams using 99mTc-diphosphonate were obtained. Regions of necrosis could be detected as "hot-spots" on the scintigrams as early as three weeks after the causative insult, which was many weeks before any abnormality could be detected on the radiographs. Histological examination of excised femora suggested that the scintigraphic abnormality might depend on the new bone formation during a reactive or repair process. It is suggested that scintigraphy may have clinical value in caisson disease.

[Offer early attention and intervention to patients with valvular heart disease].

Science.gov (United States)

Jiang, Shengli; Ren, Chonglei

2015-02-01

As a key feature of the updates, early intervention of valvular heart disease is highlighted in the 2014 AHA/ACC guideline for the management of patients with valvular heart disease. This article reviewed the new guideline in regards to the issue of early intervention of diseases such as aortic stenosis, aortic insufficiency, mitral stenosis, mitral insufficiency, tricuspid insufficiency, and infective endocarditis, with discussion on the related topics according to the authors' understanding and practical experience in China. We conclude that valvular heart disease should receive early intervention and attention should also be paid on the progress of disease.

Global Disease Detectives in Kibera

Centers for Disease Control (CDC) Podcasts

2010-12-06

In partnership with our disease detectives, urban poor open their homes to the world to prevent and control emerging diseases.  Created: 12/6/2010 by CDC Center for Global Health.   Date Released: 12/6/2010.

Early life nutritional programming of health and disease in The Gambia

OpenAIRE

Moore, S. E.

2015-01-01

Exposures during the early life (periconceptional, prenatal and early postnatal) period are increasingly recognized as playing an important role in the aetiology of chronic non-communicable diseases (NCD), including coronary heart disease, stroke, hypertension, Type 2 diabetes and osteoporosis. The ?Developmental Origins of Health and Disease? (DOHaD) hypothesis states that these disorders originate through unbalanced nutrition early in life and risk is highest when there is a ?mismatch? betw...

Usefulness of the early molecular diagnosis of Q fever and rickettsial diseases in patients with fever of intermediate duration.

Science.gov (United States)

Bolaños-Rivero, Margarita; Carranza-Rodríguez, Cristina; Hernández-Cabrera, Michele; Pisos-Álamo, Elena; Jaén-Sánchez, Nieves; Pérez-Arellano, José-Luis

2017-12-01

Most cases of fever of intermediate duration (FDI) in Spain are associated with infectious diseases (mainly Q fever and rickettsia infections). In clinical practice, the causal diagnosis of these entities is based on immunodiagnostic techniques, which are of little help in the early stages. Therefore, the aim of this study was to evaluate the usefulness of molecular techniques for the early diagnosis of Q fever and rickettsia diseases in patients with FDI. A PCR method was used to detect the presence of genetic material of Coxiella burnetii and Rickettsia spp. in blood specimens from 271 patients with FDI. The specificity of both techniques is high, allowing diagnosis in cases undiagnosed by specific antibodies detection. These data suggest that the use of molecular techniques, with proper selection of the study specimen, and using appropriate primers is a useful tool in the early diagnosis of the main causes of FDI, especially if serology is negative or inconclusive. Copyright © 2016 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved.

Loop-mediated isothermal amplification (LAMP): early detection of Toxoplasma gondii infection in mice.

Science.gov (United States)

Kong, Qing-Ming; Lu, Shao-Hong; Tong, Qun-Bo; Lou, Di; Chen, Rui; Zheng, Bin; Kumagai, Takashi; Wen, Li-Yong; Ohta, Nobuo; Zhou, Xiao-Nong

2012-01-03

Toxoplasmosis is a widespread zoonotic parasitic disease that occurs in both animals and humans. Traditional molecular assays are often difficult to perform, especially for the early diagnosis of Toxoplasma gondii infections. Here, we established a novel loop-mediated isothermal amplification targeting the 529 bp repeat element (529 bp-LAMP) to detect T. gondii DNA in blood samples of experimental mice infected with tachyzoites of the RH strain. The assay was performed with Bst DNA polymerase at 65°C for 1 h. The detection limit of the 529 bp-LAMP assay was as low as 0.6 fg of T. gondii DNA. The sensitivity of this assay was 100 and 1000 fold higher than that of the LAMP targeting B1 gene (B1-LAMP) and nested PCR targeting 529 bp repeat element (529 bp-nested PCR), respectively. The specificity of the 529 bp-LAMP assay was determined using the DNA samples of Trypanosoma evansi, Plasmodium falciparum, Paragonimus westermani, Schistosoma japonicum, Fasciola hepatica and Angiostrongylus cantonensis. No cross-reactivity with the DNA of any parasites was found. The assay was able to detect T. gondii DNA in all mouse blood samples at one day post infection (dpi). We report the following findings: (i) The detection limit of the 529 bp-LAMP assay is 0.6 fg of T. gondii DNA; (ii) The assay does not involve any cross-reactivity with the DNA of other parasites; (iii) This is the first report on the application of the LAMP assay for early diagnosis of toxoplasmosis in blood samples from experimentally infected mice. Due to its simplicity, sensitivity and cost-effectiveness for common use, we suggest that this assay should be used as an early diagnostic tool for health control of toxoplasmosis.

Early-onset Alzheimer's Disease Phenotypes: Neuropsychology and Neural Networks

Science.gov (United States)

2017-05-11

Alzheimer Disease, Early Onset; Alzheimer Disease; Alzheimer Disease, Late Onset; Dementia, Alzheimer Type; Logopenic Progressive Aphasia; Primary Progressive Aphasia; Visuospatial/Perceptual Abilities; Posterior Cortical Atrophy; Executive Dysfunction; Corticobasal Degeneration; Ideomotor Apraxia

77 FR 66469 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)

Science.gov (United States)

2012-11-05

... Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC) In accordance with section 10(a..., and the Director, CDC, regarding the early detection and control of breast and cervical cancer. The... National Breast and Cervical Cancer Early Detection Program; presentations on outcomes of Care Coordination...

Plasma Free Amino Acid Profiling of Five Types of Cancer Patients and Its Application for Early Detection

Science.gov (United States)

Miyagi, Yohei; Higashiyama, Masahiko; Gochi, Akira; Akaike, Makoto; Ishikawa, Takashi; Miura, Takeshi; Saruki, Nobuhiro; Bando, Etsuro; Kimura, Hideki; Imamura, Fumio; Moriyama, Masatoshi; Ikeda, Ichiro; Chiba, Akihiko; Oshita, Fumihiro; Imaizumi, Akira; Yamamoto, Hiroshi; Miyano, Hiroshi; Horimoto, Katsuhisa; Tochikubo, Osamu; Mitsushima, Toru; Yamakado, Minoru; Okamoto, Naoyuki

2011-01-01

Background Recently, rapid advances have been made in metabolomics-based, easy-to-use early cancer detection methods using blood samples. Among metabolites, profiling of plasma free amino acids (PFAAs) is a promising approach because PFAAs link all organ systems and have important roles in metabolism. Furthermore, PFAA profiles are known to be influenced by specific diseases, including cancers. Therefore, the purpose of the present study was to determine the characteristics of the PFAA profiles in cancer patients and the possibility of using this information for early detection. Methods and Findings Plasma samples were collected from approximately 200 patients from multiple institutes, each diagnosed with one of the following five types of cancer: lung, gastric, colorectal, breast, or prostate cancer. Patients were compared to gender- and age- matched controls also used in this study. The PFAA levels were measured using high-performance liquid chromatography (HPLC)–electrospray ionization (ESI)–mass spectrometry (MS). Univariate analysis revealed significant differences in the PFAA profiles between the controls and the patients with any of the five types of cancer listed above, even those with asymptomatic early-stage disease. Furthermore, multivariate analysis clearly discriminated the cancer patients from the controls in terms of the area under the receiver-operator characteristics curve (AUC of ROC >0.75 for each cancer), regardless of cancer stage. Because this study was designed as case-control study, further investigations, including model construction and validation using cohorts with larger sample sizes, are necessary to determine the usefulness of PFAA profiling. Conclusions These findings suggest that PFAA profiling has great potential for improving cancer screening and diagnosis and understanding disease pathogenesis. PFAA profiles can also be used to determine various disease diagnoses from a single blood sample, which involves a relatively simple

Plasma free amino acid profiling of five types of cancer patients and its application for early detection.

Directory of Open Access Journals (Sweden)

Yohei Miyagi

Full Text Available BACKGROUND: Recently, rapid advances have been made in metabolomics-based, easy-to-use early cancer detection methods using blood samples. Among metabolites, profiling of plasma free amino acids (PFAAs is a promising approach because PFAAs link all organ systems and have important roles in metabolism. Furthermore, PFAA profiles are known to be influenced by specific diseases, including cancers. Therefore, the purpose of the present study was to determine the characteristics of the PFAA profiles in cancer patients and the possibility of using this information for early detection. METHODS AND FINDINGS: Plasma samples were collected from approximately 200 patients from multiple institutes, each diagnosed with one of the following five types of cancer: lung, gastric, colorectal, breast, or prostate cancer. Patients were compared to gender- and age- matched controls also used in this study. The PFAA levels were measured using high-performance liquid chromatography (HPLC-electrospray ionization (ESI-mass spectrometry (MS. Univariate analysis revealed significant differences in the PFAA profiles between the controls and the patients with any of the five types of cancer listed above, even those with asymptomatic early-stage disease. Furthermore, multivariate analysis clearly discriminated the cancer patients from the controls in terms of the area under the receiver-operator characteristics curve (AUC of ROC >0.75 for each cancer, regardless of cancer stage. Because this study was designed as case-control study, further investigations, including model construction and validation using cohorts with larger sample sizes, are necessary to determine the usefulness of PFAA profiling. CONCLUSIONS: These findings suggest that PFAA profiling has great potential for improving cancer screening and diagnosis and understanding disease pathogenesis. PFAA profiles can also be used to determine various disease diagnoses from a single blood sample, which involves a

Detection of degenerative disease of the temporomandibular joint by bone scintigraphy: concise communication

International Nuclear Information System (INIS)

Goldstein, H.A.; Bloom, C.Y.

1980-01-01

Nine patients with facial pain were evaluated with limited bone scans. The scintigrams correlated with microscopy in all patients, although radiographs correlated with microscopy in only five patients. The degenerative disease process in the temporomandibular joint was more extensive in the patients with radiographic and scintigraphic abnormalities than in those with scintigraphic abnormalities alone. The limited bone scan appears useful in detecting early degenerative changes in the temporomandibular joint

Basal ganglia dysfunction in idiopathic REM sleep behaviour disorder parallels that in early Parkinson's disease.

Science.gov (United States)

Rolinski, Michal; Griffanti, Ludovica; Piccini, Paola; Roussakis, Andreas A; Szewczyk-Krolikowski, Konrad; Menke, Ricarda A; Quinnell, Timothy; Zaiwalla, Zenobia; Klein, Johannes C; Mackay, Clare E; Hu, Michele T M

2016-08-01

SEE POSTUMA DOI101093/AWW131 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: Resting state functional magnetic resonance imaging dysfunction within the basal ganglia network is a feature of early Parkinson's disease and may be a diagnostic biomarker of basal ganglia dysfunction. Currently, it is unclear whether these changes are present in so-called idiopathic rapid eye movement sleep behaviour disorder, a condition associated with a high rate of future conversion to Parkinson's disease. In this study, we explore the utility of resting state functional magnetic resonance imaging to detect basal ganglia network dysfunction in rapid eye movement sleep behaviour disorder. We compare these data to a set of healthy control subjects, and to a set of patients with established early Parkinson's disease. Furthermore, we explore the relationship between resting state functional magnetic resonance imaging basal ganglia network dysfunction and loss of dopaminergic neurons assessed with dopamine transporter single photon emission computerized tomography, and perform morphometric analyses to assess grey matter loss. Twenty-six patients with polysomnographically-established rapid eye movement sleep behaviour disorder, 48 patients with Parkinson's disease and 23 healthy control subjects were included in this study. Resting state networks were isolated from task-free functional magnetic resonance imaging data using dual regression with a template derived from a separate cohort of 80 elderly healthy control participants. Resting state functional magnetic resonance imaging parameter estimates were extracted from the study subjects in the basal ganglia network. In addition, eight patients with rapid eye movement sleep behaviour disorder, 10 with Parkinson's disease and 10 control subjects received (123)I-ioflupane single photon emission computerized tomography. We tested for reduction of basal ganglia network connectivity, and for loss of tracer uptake in rapid eye movement sleep

Biomarker detection of global infectious diseases based on magnetic particles.

Science.gov (United States)

Carinelli, Soledad; Martí, Mercè; Alegret, Salvador; Pividori, María Isabel

2015-09-25

Infectious diseases affect the daily lives of millions of people all around the world, and are responsible for hundreds of thousands of deaths, mostly in the developing world. Although most of these major infectious diseases are treatable, the early identification of individuals requiring treatment remains a major issue. The incidence of these diseases would be reduced if rapid diagnostic tests were widely available at the community and primary care level in low-resource settings. Strong research efforts are thus being focused on replacing standard clinical diagnostic methods, such as the invasive detection techniques (biopsy or endoscopy) or expensive diagnostic and monitoring methods, by affordable and sensitive tests based on novel biomarkers. The development of new methods that are needed includes solid-phase separation techniques. In this context, the integration of magnetic particles within bioassays and biosensing devices is very promising since they greatly improve the performance of a biological reaction. The diagnosis of clinical samples with magnetic particles can be easily achieved without pre-enrichment, purification or pretreatment steps often required for standard methods, simplifying the analytical procedures. The biomarkers can be specifically isolated and preconcentrated from complex biological matrixes by magnetic actuation, increasing specificity and the sensitivity of the assay. This review addresses these promising features of the magnetic particles for the detection of biomarkers in emerging technologies related with infectious diseases affecting global health, such as malaria, influenza, dengue, tuberculosis or HIV. Copyright © 2015 Elsevier B.V. All rights reserved.

Morbidity of ischemic heart disease in early breast cancer 15-20 years after adjuvant radiotherapy

International Nuclear Information System (INIS)

Gyenes, G.; Rutqvist, L.E.; Fornander, T.; Carlens, P.

1994-01-01

The purpose of this study was to assess the cardiac side effects, primarily the occurrence of ischemic heart disease, in symptom-free patients with early breast cancer treated with radiotherapy. Thirty-seven survivors of a former randomized study of early breast cancer were examined. Twenty patients irradiated pre- or postoperatively for left sided disease (study group patients) were compared with 17 controls who were either treated for right sided disease, or were nonirradiated patients. Radiotherapy was randomized in the original study; either tangential field 60 Co, or electron-therapy was delivered. Echocardiography and bicycle ergometry stress test with 99m Tc SestaMIBI myocardial perfusion scintigraphy were carried out and the patients' major risk factors for ischemic heart disease were also listed. Our results showed a significant difference between the scintigraphic findings of the two groups. Five of the 20 study group patients (25%), while none of the 17 controls exhibited some kind of significant defects on scintigraphy, indicating ischemic heart disease (p < 0.05). No deterioration in left ventricular systolic and/or diastolic function could be detected by echocardiography. Radiotherapy for left sided breast cancer with the mentioned treatment technique may present as an independent risk factor in the long-term development of ischemic heart disease, while left ventricular dysfunction could not be related to the previous irradiation. The authors emphasize the need to optimize adjuvant radiotherapy for early breast cancer by considering the dose both to the heart as well as the cancer. 39 refs., 4 tabs

Application of microwave sensor technology in cardiovascular disease for plaque detection

Directory of Open Access Journals (Sweden)

Wagner David

2016-09-01

Full Text Available Arteriosclerosis and associated cardiovascular disease remains the leading cause of mortality. Improved methods for vascular plaque detection allow early diagnose and better therapeutic options. Present diagnostic tools require intense technical expenditure and diminish value of modern screening methods. Our group developed an microwave sensor for on-site detection of plaque formation in arterial vessels. The sensor is an oscillator working around 27 GHz which is coupled to a microstrip stub line. The final flexible polyimid interposer has a length of 38 cm, a width of 1.2 mm and a thickness of 200 μm. Because of its minimal size the interposer completed a catheter with a diameter of 8F ready for further clinical use in cardiology and heart surgery.

A proven and highly cost-effective method of early detection of breast cancer for developing countries

International Nuclear Information System (INIS)

Rebentisch, D.P.; Rebentisch, H.D.; Thomas, K.; Karat, S.; Jadhav, A.J.

1995-01-01

Carcinoma of the breast is the third most common cancer in Indian women. With rapid industrialization and effective control of communicable diseases, better diagnostic and treatment facilities, cancer is emerging as a major health problem. Since early detection is the only way to reduce morbidity and mortality from breast cancer, we undertook a pilot project to evaluate efficacy of using existing manpower and resources for screening women in the high risk group. Methodology pros and cons, results, and recommendations are presented. Our method can be adopted by any developing country interested in a screening programme for malignant disease

A proven and highly cost-effective method of early detection of breast cancer for developing countries.

Science.gov (United States)

Rebentisch, D P; Rebentisch, H D; Thomas, K; Karat, S; Jadhav, A J

1995-12-01

Carcinoma of the breast is the third most common cancer in Indian women. With rapid industrialization and effective control of communicable diseases, better diagnostic and treatment facilities, cancer is emerging as a major health problem. Since early detection is the only way to reduce morbidity and mortality from breast cancer, we undertook a pilot project to evaluate efficacy of using existing manpower and resources for screening women in the high risk group. Methodology pros and cons, results, and recommendations are presented. Our method can be adopted by any developing country interested in a screening programme for malignant disease.

Pulse Oximetry and Auscultation for Congenital Heart Disease Detection.

Science.gov (United States)

Hu, Xiao-Jing; Ma, Xiao-Jing; Zhao, Qu-Ming; Yan, Wei-Li; Ge, Xiao-Ling; Jia, Bing; Liu, Fang; Wu, Lin; Ye, Ming; Liang, Xue-Cun; Zhang, Jing; Gao, Yan; Zhai, Xiao-Wen; Huang, Guo-Ying

2017-10-01

Pulse oximetry (POX) has been confirmed as a specific screening modality for critical congenital heart disease (CCHD), with moderate sensitivity. However, POX is not able to detect most serious and critical cardiac lesions (major congenital heart disease [CHD]) without hypoxemia. In this study, we investigated the accuracy and feasibility of the addition of cardiac auscultation to POX as a screening method for asymptomatic major CHD. A multicenter prospective observational screening study was conducted at 15 hospitals in Shanghai between July 1, 2012, and December 31, 2014. Newborns with either an abnormal POX or cardiac auscultation were defined as screen positive. All screen-positive newborns underwent further echocardiography. False-negative results were identified by clinical follow-up, parents' feedback, and telephone review. We assessed the accuracy of POX plus cardiac auscultation for the detection of major CHD. CHD screening was completed in all 15 hospitals, with a screening rate of 94.0% to 99.8%. In total, 167 190 consecutive asymptomatic newborn infants were screened, of which 203 had major CHD (44 critical and 159 serious). The sensitivity of POX plus cardiac auscultation was 95.5% (95% confidence interval 84.9%-98.7%) for CCHD and 92.1% (95% confidence interval 87.7%-95.1%) for major CHD. The false-positive rate was 1.2% for detecting CCHD and 1.1% for detecting major CHD. In our current study, we show that using POX plus cardiac auscultation significantly improved the detection rate of major CHD in the early neonatal stage, with high sensitivity and a reasonable false-positive rate. It provides strong evidence and a reliable method for neonatal CHD screening. Copyright © 2017 by the American Academy of Pediatrics.

Nanotechnology-Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer

Science.gov (United States)

2017-08-01

AWARD NUMBER: W81XWH-15-1-0157 TITLE: Nanotechnology -Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer PRINCIPAL...TITLE AND SUBTITLE Nanotechnology -Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer 5a. CONTRACT NUMBER 5b. GRANT NUMBER...identify novel differentially expressed miRNAs in the body fluids (blood, urine, etc.) for an early detection of PCa. Advances in nanotechnology and

Angular cheilitis and oral pigmentation as early detection of Peutz-Jeghers syndrome

Directory of Open Access Journals (Sweden)

Maharani Laillyza Apriasari

2018-03-01

Full Text Available Background: Peutz-Jeghers syndrome (PJS is an inherited autosomal dominant disease determined by a mutation localized at 19p13.3 characterized by the occurrence of gastrointestinal hamartomatous polyps in association with mucocutaneous hyperpigmentation. The manifestation of PJS may first be encountered by a dentist during routine examination due to the presence of pigmented spots in the oral cavity. Purpose: To prevent a high risk of PJS, the dentist must establish its oral manifestation through early detection. Case: A 14-year-old male patient attended complaining of a week-long pain at the corners of the lips. An extra-oral exam revealed fissure lesions, redness, white crust and pain. The patient had experienced bleeding in his bowel movements, abdominal pain, nausea and vomiting since childhood. A number of black, painless, macular lesions, some 1-3 mm in diameter, were present on the upper lips, lower lips, fingers and palms. Case management: The patient was referred for a complete blood count check. The results obtained confirmed him to be suffering from severe anemia and he was, therefore, referred to an internist for treatment for PJS. Conclusion: It can be concluded that the early detection of PJS is crucial in order that the patient receives prompt treatment.

Role of Ultrasonography ( and ldquo;Honeycomb Sign and rdquo; in Early Detection of Dengue Hemorrhagic Fever

Directory of Open Access Journals (Sweden)

Sudhir Sachar

2013-02-01

Conclusions: Abdominal emergency USG can be used as a first-line imaging modality in patients with suspected DHF to detect early signs that are suggestive of the disease prior to obtaining serologic confirmation test results, especially in a dengue fever epidemic area. Also, reducing GB wall thickness can be used as a prognostic sign in cases of DHF. [Arch Clin Exp Surg 2013; 2(1.000: 38-42

Validation of Early Detection Ovarian Cancer Biomarkers (Team Project) — EDRN Public Portal

Science.gov (United States)

Early detection of Ovarian Cancer (OC) is one of the key clinical problems in this disease. We propose a team EDRN project to address the issue of early detection of OC by performing a validation study on candidate protein markers already identified in previous EDRN research or in the literature (e.g. protein products of TCGA identified mutations specific to ovarian cancer). (See appendix for full listing) Biospecimen sources have been identified which include samples obtained at diagnosis and matched controls (Urban, Godwin, Marks, Skates), and longitudinal samples obtained prior to diagnosis (Urban, Skates, Godwin). Bioinformatic filters will be applied to rank the candidates (Diamandis). In order of ranking, candidate proteins for which high quality antibodies are available will be measured by development of ELISAs at JHU (Chan/Zhang) or through NAPPA at DFCI (Anderson/LaBaer), while for other candidates mass spectrometry based selective reaction monitoring (SRM) assays will be developed at PNNL (Rodland). Three milestones are defined. The first two milestones are to assemble the necessary specimens and to develop the qualifying assay(s). The final milestone is to estimate the markers’ sensitivity one year prior to diagnosis at a given high specificity.

Imaging and detection of early stage dental caries with an all-optical photoacoustic microscope

International Nuclear Information System (INIS)

Hughes, D A; Kirk, K J; Sampathkumar, A; Longbottom, C

2015-01-01

Tooth decay, at its earliest stages, manifests itself as small, white, subsurface lesions in the enamel. Current methods for detection in the dental clinic are visual and tactile investigations, and bite-wing X-ray radiographs. These techniques suffer from poor sensitivity and specificity at the earliest (and reversible) stages of the disease due to the small size (<100μm) of the lesion. A fine-resolution (600 nm) ultra-broadband (200 MHz) all-optical photoacoustic microscopy system was is used to image the early signs of tooth decay. Ex-vivo tooth samples exhibiting white spot lesions were scanned and were found to generate a larger (one order of magnitude) photoacoustic (PA) signal in the lesion regions compared to healthy enamel. The high contrast in the PA images potentially allows lesions to be imaged and measured at a much earlier stage than current clinical techniques allow. PA images were cross referenced with histology photographs to validate our experimental results. Our PA system provides a noncontact method for early detection of white-spot lesions with a high detection bandwidth that offers advantages over previously demonstrated ultrasound methods. The technique provides the sensing depth of an ultrasound system, but with the spatial resolution of an optical system

The scent of disease: human body odor contains an early chemosensory cue of sickness.

Science.gov (United States)

Olsson, Mats J; Lundström, Johan N; Kimball, Bruce A; Gordon, Amy R; Karshikoff, Bianka; Hosseini, Nishteman; Sorjonen, Kimmo; Olgart Höglund, Caroline; Solares, Carmen; Soop, Anne; Axelsson, John; Lekander, Mats

2014-03-01

Observational studies have suggested that with time, some diseases result in a characteristic odor emanating from different sources on the body of a sick individual. Evolutionarily, however, it would be more advantageous if the innate immune response were detectable by healthy individuals as a first line of defense against infection by various pathogens, to optimize avoidance of contagion. We activated the innate immune system in healthy individuals by injecting them with endotoxin (lipopolysaccharide). Within just a few hours, endotoxin-exposed individuals had a more aversive body odor relative to when they were exposed to a placebo. Moreover, this effect was statistically mediated by the individuals' level of immune activation. This chemosensory detection of the early innate immune response in humans represents the first experimental evidence that disease smells and supports the notion of a "behavioral immune response" that protects healthy individuals from sick ones by altering patterns of interpersonal contact.

Detecting cognitive impairment in patients with Parkinson’s disease with a brief cognitive screening tool: the Addenbrooke’s Cognitive Examination (ACE)

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Chade, Anabel; Roca, María; Torralva, Teresa; Gleichgerrcht, Ezequiel; Fabbro, Nicolás; Arévalo, Gonzalo Gómez; Gershanik, Oscar; Manes, Facundo

2008-01-01

Detecting cognitive impairment in patients with Parkinson’s disease is crucial for good clinical practice given the new therapeutic possibilities available. When full neuropsychological evaluations are not available, screening tools capable of detecting cognitive difficulties become crucial. Objective The goal of this study was to investigate whether the Spanish version of the Addenbrooke’s Cognitive Examination (ACE) is capable of detecting cognitive difficulties in patients with Parkinson’s disease and discriminating their cognitive profile from patients with dementia. Methods 77 early dementia patients (53 with Alzheimer’s Disease and 24 with Frontotemporal Dementia), 22 patients with Parkinson’s disease, and 53 healthy controls were evaluated with the ACE. Results Parkinson’s disease patients significantly differed from both healthy controls and dementia patients on ACE total score. Conclusions This study shows that the Spanish version of the ACE is capable of detecting patients with cognitive impairment in Parkinson’s disease and is able to differentiate them from patients with dementia based on their general cognitive status. PMID:29213570

Detecting, reporting, and analysis of priority diseases for routine public health surveillance in Liberia.

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Frimpong, Joseph Asamoah; Park, Meeyoung Mattie; Amo-Addae, Maame Pokuah; Adewuyi, Peter Adebayo; Nagbe, Thomas Knue

2017-01-01

An essential component of a public health surveillance system is its ability to detect priority diseases which fall within the mandate of public health officials at all levels. Early detection, reporting and response to public health events help to reduce the burden of mortality and morbidity on communities. Analysis of reliable surveillance data provides relevant information which can enable implementation of timely and appropriate public health interventions. To ensure that a resilient system is in place, the World Health Organization (WHO) has provided guidelines for detection, reporting and response to public health events in the Integrated Disease Surveillance and Response (IDSR) strategy. This case study provides training on detection, reporting and analysis of priority diseases for routine public health surveillance in Liberia and highlights potential errors and challenges which can hinder effective surveillance. Table-top exercises and group discussion lead participants through a simulated verification and analyses of summary case reports in the role of the District Surveillance Officer. This case study is intended for public health training in a classroom setting and can be accomplished within 2 hours 30 minutes. The target audience include residents in Frontline Epidemiology Training Programs (FETP-Frontline), Field Epidemiology and Laboratory Training Programs (FELTPs), and others who are interested in this topic.

Detection of African swine fever, classical swine fever, and foot-and-mouth disease viruses in swine oral fluids by multiplex reverse transcription real-time polymerase chain reaction.

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Grau, Frederic R; Schroeder, Megan E; Mulhern, Erin L; McIntosh, Michael T; Bounpheng, Mangkey A

2015-03-01

African swine fever (ASF), classical swine fever (CSF), and foot-and-mouth disease (FMD) are highly contagious animal diseases of significant economic importance. Pigs infected with ASF and CSF viruses (ASFV and CSFV) develop clinical signs that may be indistinguishable from other diseases. Likewise, various causes of vesicular disease can mimic clinical signs caused by the FMD virus (FMDV). Early detection is critical to limiting the impact and spread of these disease outbreaks, and the ability to perform herd-level surveillance for all 3 diseases rapidly and cost effectively using a single diagnostic sample and test is highly desirable. This study assessed the feasibility of simultaneous ASFV, CSFV, and FMDV detection by multiplex reverse transcription real-time polymerase chain reaction (mRT-qPCR) in swine oral fluids collected through the use of chewing ropes. Animal groups were experimentally infected independently with each virus, observed for clinical signs, and oral fluids collected and tested throughout the course of infection. All animal groups chewed on the ropes readily before and after onset of clinical signs and before onset of lameness or serious clinical signs. ASFV was detected as early as 3 days postinoculation (dpi), 2-3 days before onset of clinical disease; CSFV was detected at 5 dpi, coincident with onset of clinical disease; and FMDV was detected as early as 1 dpi, 1 day before the onset of clinical disease. Equivalent results were observed in 4 independent studies and demonstrate the feasibility of oral fluids and mRT-qPCR for surveillance of ASF, CSF, and FMD in swine populations. © 2015 The Author(s).

Toward comprehensive detection of sight threatening retinal disease using a multiscale AM-FM methodology

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Agurto, C.; Barriga, S.; Murray, V.; Murillo, S.; Zamora, G.; Bauman, W.; Pattichis, M.; Soliz, P.

2011-03-01

In the United States and most of the western world, the leading causes of vision impairment and blindness are age-related macular degeneration (AMD), diabetic retinopathy (DR), and glaucoma. In the last decade, research in automatic detection of retinal lesions associated with eye diseases has produced several automatic systems for detection and screening of AMD, DR, and glaucoma. However. advanced, sight-threatening stages of DR and AMD can present with lesions not commonly addressed by current approaches to automatic screening. In this paper we present an automatic eye screening system based on multiscale Amplitude Modulation-Frequency Modulation (AM-FM) decompositions that addresses not only the early stages, but also advanced stages of retinal and optic nerve disease. Ten different experiments were performed in which abnormal features such as neovascularization, drusen, exudates, pigmentation abnormalities, geographic atrophy (GA), and glaucoma were classified. The algorithm achieved an accuracy detection range of [0.77 to 0.98] area under the ROC curve for a set of 810 images. When set to a specificity value of 0.60, the sensitivity of the algorithm to the detection of abnormal features ranged between 0.88 and 1.00. Our system demonstrates that, given an appropriate training set, it is possible to use a unique algorithm to detect a broad range of eye diseases.

Early detection of interstitial pneumonia by 67Ga-citrate scintigraphy

International Nuclear Information System (INIS)

Ito, Shinsaku; Mikami, Riichiro; Ryujin, Yoshitada

1985-01-01

In this paper we report our recent experience indicating usefulness of 67 Ga-citrate scintigraphy in 4 cases with inflammatory pulmonary diseases. These cases showed abnormal pulmonary 67 Ga uptake with normal chest radiographs. The first case with malignant lymphoma and the second one with lung cancer suffered from pulmonary infection following secondary immuno-insufficiency due to radiotherapy and chemotherapy. Pneumocystis carinii was suspected as causative agent in the first case, and gram negative bacilli in the second case. The third case with lung cancer developed radiation pneumonia after radiotherapy. The fourth case with acute bronchitis developed drug induced interstitial pneumonia presumably due to minocycline administration. It is concluded that 67 Ga-citrate scintigraphy is more sensitive for early detection of interstitial pneumonia than routine chest radiography. (author)

[Usefulness of serological studies for the early diagnosis of Lyme disease in Primary Health Care Centres].

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Vázquez-López, María Esther; Fernández, Gonzalo; Díaz, Pablo; Díez-Morrondo, Carolina; Pego-Reigosa, Robustiano; Coira-Nieto, Amparo

2018-01-01

The main aim of this study was to determine the usefulness of an early diagnosis of Lyme disease (LD) in Primary Health Care Centres (PHCC) using the ELISA test as serological screening technique. A retrospective study (2006-2013) was performed in order to determine the anti-Borrelia seropositivity in 2,842 people at risk of having LD. The possible relationship between the environment and the area of residence with anti-Borrelia seropositivity was also studied according to the origin of the specimens (PHCC/Hospital). Overall, 15.2% of samples were positive to Borrelia spp. Seropositivity was significantly higher in samples sent by PHCC doctors than those sent by Hospital doctors. Seropositivity was significantly higher in rural than in urban populations and in those who live in mountainous or flat areas. The percentage of seropositivity has increased over the years. The role of the PHCC doctor is essential for achieving an early diagnosis of Lyme disease, as a higher percentage of seropositives was detected in samples submitted from PHCC. Furthermore, most early localised LD patients were diagnosed in PHCC, avoiding the appearance of sequelae. Therefore, detection of Borrelia specific antibodies using an ELISA assay is a useful screening test for patients at risk of LD. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

Biomarkers in the early diagnosis of Parkinson's disease

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CHEN Sheng-di

2013-08-01

Full Text Available Parkinson's disease (PD is a chronic and progressive neurodegenerative disorder. It has become clear that PD can have a preclinical phase, a period during which neurodegeneration has already begun years before the onset of typical motor symptoms. Consequently, if the early neurodegeneration in PD can be timely diagnosed, it will significantly slow down the progression of the disease and improve the quality of life. To date, there is no fully reliable and validated biomarker for the early diagnosis of PD, but some promising biomarker candidates exist.

Early Lyme disease with spirochetemia - diagnosed by DNA sequencing

Directory of Open Access Journals (Sweden)

Jones William

2010-11-01

Full Text Available Abstract Background A sensitive and analytically specific nucleic acid amplification test (NAAT is valuable in confirming the diagnosis of early Lyme disease at the stage of spirochetemia. Findings Venous blood drawn from patients with clinical presentations of Lyme disease was tested for the standard 2-tier screen and Western Blot serology assay for Lyme disease, and also by a nested polymerase chain reaction (PCR for B. burgdorferi sensu lato 16S ribosomal DNA. The PCR amplicon was sequenced for B. burgdorferi genomic DNA validation. A total of 130 patients visiting emergency room (ER or Walk-in clinic (WALKIN, and 333 patients referred through the private physicians' offices were studied. While 5.4% of the ER/WALKIN patients showed DNA evidence of spirochetemia, none (0% of the patients referred from private physicians' offices were DNA-positive. In contrast, while 8.4% of the patients referred from private physicians' offices were positive for the 2-tier Lyme serology assay, only 1.5% of the ER/WALKIN patients were positive for this antibody test. The 2-tier serology assay missed 85.7% of the cases of early Lyme disease with spirochetemia. The latter diagnosis was confirmed by DNA sequencing. Conclusion Nested PCR followed by automated DNA sequencing is a valuable supplement to the standard 2-tier antibody assay in the diagnosis of early Lyme disease with spirochetemia. The best time to test for Lyme spirochetemia is when the patients living in the Lyme disease endemic areas develop unexplained symptoms or clinical manifestations that are consistent with Lyme disease early in the course of their illness.

Early tumour detection: a transillumination, time-resolved technique

International Nuclear Information System (INIS)

Behin-Ain, S.; Van Doorn, T.; Patterson, J.

2000-01-01

Full text: Research into transillumination techniques for the detection of tumours in soft tissue has been ongoing for over 70 years. The resolution and contrast, however, remain severely limited by scatter. Single photon detection techniques, with ideally infinite extinction coefficients, have been proposed to accumulate sub-hertz photon transmitted frequencies in the early part of a transmitted pulse. Computer based simulations have been undertaken to examine the theoretical performance requirements of the detector and the resultant image qualities that may be expected with this imaging technique. This paper reports on the computational techniques required for implementing these simulations in an efficient manner. Controlled Monte Carlo (CMC) and Convolution of Layers (CL) techniques were employed to constrain the photon to those having more chance of detection and hence enhance the detection statistics. Extrapolation techniques are proposed to reconstruct the early part of the temporal profile. Computational methods were implemented to evaluate Path Integrals, which are otherwise overly complex to evaluate. CMC and CL reduce the computational time by more than 10 orders of magnitude by only tracking those photons more likely to reach the detector. In the case of an optically thick medium with high scattering coefficient, extrapolation techniques are used to reconstruct the early part of temporal profile. Analytical solutions were found to be too involved for the simplest geometries. However the CL and implementation of computational techniques make Path integrals a useful analytical tool to compliment full Monte Carlo techniques. Results have shown that these methods collectively enable detection of small inhomogeneites within soft tissues. Reduced computation times and full reconstruction of the temporal profile of transmitted photons through optically thick medium enable fast simulations of single photon detectors to be achieved with the above described

Detection of early caries by laser-induced breakdown spectroscopy

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Sasazawa, Shuhei; Kakino, Satoko; Matsuura, Yuji

2015-07-01

To improve sensitivity of dental caries detection by laser-induced breakdown spectroscopy (LIBS) analysis, it is proposed to utilize emission peaks in the ultraviolet. We newly focused on zinc whose emission peaks exist in ultraviolet because zinc exists at high concentration in the outer layer of enamel. It was shown that by using ratios between heights of an emission peak of Zn and that of Ca, the detection sensitivity and stability are largely improved. It was also shown that early caries are differentiated from healthy part by properly setting a threshold in the detected ratios. The proposed caries detection system can be applied to dental laser systems such as ones based on Er:YAG-lasers. When ablating early caries part by laser light, the system notices the dentist that the ablation of caries part is finished. We also show the intensity of emission peaks of zinc decreased with ablation with Er:YAG laser light.

Technology Development for Detection of Circulating Disease Biomarkers from Liquid Biopsies Using Multifunctional Nanomaterials

Science.gov (United States)

Balcioglu, Mustafa

Despite the advance health care, devastating health conditions such as cancer and infectious diseases that affect populations worldwide are too often not diagnosed until morbid symptoms become apparent in the late phase. Obtaining an early and accurate diagnosis that reveal a hidden lethal threat before the disease becomes complicated may dramatically reduce the severity of its impact on the patient's life and increase the probability of survival. For example, in the case of ovarian cancer, which is the fifth most common malignancy and the fifth leading cause of cancer mortality in women in the US, the 5-year relative survival is 45%. If the diagnosis is made in stages III and IV when the cancer is well established and spreading, 17% of the women survive at five years. However, if ovarian cancer is found (and treated) before the cancer has spread outside the ovary, the survival rate can reach 93%. The sad fact is only 15% of all ovarian cancers are found at this early stage, whereas the vast majority, 70%, are detected in stages three and four. There is therefore an apparent need for the development of highly sensitive and specific noninvasive diagnostic assays for early detection, prognostic evaluation, and recurrence monitoring. This uneasy task, however, is hindered by three existing major limitations; (1) lack of an easy, inexpensive and noninvasive serial sampling method that can replace medical procedures, which is like colonoscopy for colon cancer or mammography for breast cancer. Second, lack of definitive molecular biomarkers for specific diseases as an alternative to protein biomarkers, like PSA for prostate cancer and (3) lack of a rapid multi-marker detection platform with high sensitivity and excellent specificity. Liquid biopsy, a simple non-invasive blood test, is an emerging novel technology has the potential to overcome these restrictions. Because of its non-invasive nature, liquid biopsy can be serially collected to provide a personalized global

Annual meeting on nuclear technology 1980. Technical meeting: Early detection methods

International Nuclear Information System (INIS)

1980-01-01

The practical methods refer to the neutron noise analysis of BWR-type reactors, the development and implementation of an early detection system for BWR-type reactors and the possibilities of the noise analysis in natrium-cooled fast breeder reactors. The mathematical methods are concerned with the stochastic analysis, high-frequency acoustic monitoring and early detection of damage in PWR-type reactors. (DG) [de

A Forest Early Fire Detection Algorithm Based on Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

CHENG Qiang

2014-03-01

Full Text Available Wireless Sensor Networks (WSN adopt GHz as their communication carrier, and it has been found that GHz carrier attenuation model in transmission path is associated with vegetation water content. In this paper, based on RSSI mechanism of WSN nodes we formed vegetation dehydration sensors. Through relationships between vegetation water content and carrier attenuation, we perceived forest vegetation water content variations and early fire gestation process, and established algorithms of early forest fires detection. Experiments confirm that wireless sensor networks can accurately perceive vegetation dehydration events and forest fire events. Simulation results show that, WSN dehydration perception channel (P2P representing 75 % amounts of carrier channel or more, it can meet the detection requirements, which presented a new algorithm of early forest fire detection.

Detection of antibodies to both M. leprae PGL-I and MMP-II to recognize leprosy patients at an early stage of disease progression.

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Wang, Hongsheng; Liu, Weijing; Jin, Yali; Yu, Meiwen; Jiang, Haiqin; Tamura, Toshiki; Maeda, Yumi; Makino, Masahiko

2015-11-01

Antibodies to phenolic glycolipid (PGL)-I and major membrane protein (MMP)-II were evaluated for serodiagnosis of leprosy in Southwest China, and the role in predicting the occurrence of the disease in household contacts (HHCs) of leprosy was examined. Using PGL-I (natural disaccharide-octyl-bovine serum albumin) antigen-based diagnosis (IgM antibodies), we could detect 94.9% of multibacillary (MB) leprosy and 38.9% paucibacillary (PB) leprosy patients, whereas using MMP-II (IgG antibody), 88.1% of MB and 61.1% of PB patients were positive. By combining the 2 tests and considering either test positive as positive, 100% of MB patients and 72.2% of PB patients were found to test positive. Of the HHCs of leprosy, 28.3% and 30% had positive levels of PGL-I and MMP-II Abs, respectively. Seven out of 21 HHCs, who had high Ab titer to either antigen, developed leprosy during the follow-up period of 3 years. These data suggest that the measurement of both anti-PGL-I as well as anti-MMP-II antibodies could facilitate early detection of leprosy. Copyright © 2015 Elsevier Inc. All rights reserved.

GammaScorpion: mobile gamma-ray tomography system for early detection of basal stem rot in oil palm plantations

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Abdullah, Jaafar; Hassan, Hearie; Shari, Mohamad Rabaie; Mohd, Salzali; Mustapha, Mahadi; Mahmood, Airwan Affendi; Jamaludin, Shahrizan; Ngah, Mohd Rosdi; Hamid, Noor Hisham

2013-03-01

Detection of the oil palm stem rot disease Ganoderma is a major issue in estate management and production in Malaysia. Conventional diagnostic techniques are difficult and time consuming when using visual inspection, and destructive and expensive when based on the chemical analysis of root or stem tissue. As an alternative, a transportable gamma-ray computed tomography system for the early detection of basal stem rot (BSR) of oil palms due to Ganoderma was developed locally at the Malaysian Nuclear Agency, Kajang, Malaysia. This system produces high quality tomographic images that clearly differentiate between healthy and Ganoderma infected oil palm stems. It has been successfully tested and used to detect the extent of BSR damage in oil palm plantations in Malaysia without the need to cut down the trees. This method offers promise for in situ inspection of oil palm stem diseases compared to the more conventional methods.

Reliable determination of new lipid peroxidation compounds as potential early Alzheimer Disease biomarkers.

Science.gov (United States)

García-Blanco, Ana; Peña-Bautista, Carmen; Oger, Camille; Vigor, Claire; Galano, Jean-Marie; Durand, Thierry; Martín-Ibáñez, Nuria; Baquero, Miguel; Vento, Máximo; Cháfer-Pericás, Consuelo

2018-07-01

Lipid peroxidation plays an important role in Alzheimer Disease, so corresponding metabolites found in urine samples could be potential biomarkers. The aim of this work is to develop a reliable ultra-performance liquid chromatography-tandem mass spectrometry analytical method to determine a new set of lipid peroxidation compounds in urine samples. Excellent sensitivity was achieved with limits of detection between 0.08 and 17 nmol L -1 , which renders this method suitable to monitor analytes concentrations in real samples. The method's precision was satisfactory with coefficients of variation around 5-17% (intra-day) and 8-19% (inter-day). The accuracy of the method was assessed by analysis of spiked urine samples obtaining recoveries between 70% and 120% for most of the analytes. The utility of the described method was tested by analyzing urine samples from patients early diagnosed with mild cognitive impairment or mild dementia Alzheimer Disease following the clinical standard criteria. As preliminary results, some analytes (17(RS)-10-epi-SC-Δ 15 -11-dihomo-IsoF, PGE 2 ) and total parameters (Neuroprostanes, Isoprostanes, Isofurans) show differences between the control and the clinical groups. So, these analytes could be potential early Alzheimer Disease biomarkers assessing the patients' pro-oxidant condition. Copyright © 2018 Elsevier B.V. All rights reserved.

COMPARATIVE STUDY ON SPECIFIC AND EARLY DETECTION ...

African Journals Online (AJOL)

The objective of this study was to compare the sensitivity and specificity of smear and culture methods with rapid serological EIA myco kits manufactured by Omega diagnostics, for the early detection of Mycobacterium tuberculosis (MTB) complex. Sera from various categories of smear and culture results were compared ...

Strategies for improving early detection and diagnosis of neovascular age-related macular degeneration

Directory of Open Access Journals (Sweden)

Keane PA

2015-02-01

Full Text Available Pearse A Keane,1 Gabriella de Salvo,2 Dawn A Sim,1 Srini Goverdhan,2 Rupesh Agrawal,1 Adnan Tufail1 1NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, 2Department of Ophthalmology, University Hospital Southampton NHS Foundation Trust, Southampton, UK Abstract: Treatment of the neovascular form of age-related macular degeneration (AMD has been revolutionized by the introduction of such agents as ranibizumab, bevacizumab, and aflibercept. As a result, the incidence of legal blindness occurring secondary to AMD has fallen dramatically in recent years in many countries. While these agents have undoubtedly been successful in reducing visual impairment and blindness, patients with neovascular AMD typically lose some vision over time, and often lose the ability to read, drive, or perform other important activities of daily living. Efforts are therefore under way to develop strategies that allow for earlier detection and treatment of this disease. In this review, we begin by providing an overview of the rationale for, and the benefits of, early detection and treatment of neovascular AMD. To achieve this, we begin by providing an overview of the pathophysiology and natural history of choroidal neovascularization, before reviewing the evidence from both clinical trials and “real-world” outcome studies. We continue by highlighting an area that is often overlooked: the importance of patient education and awareness for early AMD detection. We conclude the review by reviewing an array of both established and emerging technologies for early detection of choroidal neovascularization, ranging from Amsler chart testing, to hyperacuity testing, to advanced imaging techniques, such as optical coherence tomography. Keywords: Amsler, detection, choroidal neovascularization, hyperacuity, optical coherence tomography

Basal ganglia dysfunction in idiopathic REM sleep behaviour disorder parallels that in early Parkinson’s disease

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Rolinski, Michal; Griffanti, Ludovica; Piccini, Paola; Roussakis, Andreas A.; Szewczyk-Krolikowski, Konrad; Menke, Ricarda A.; Quinnell, Timothy; Zaiwalla, Zenobia; Klein, Johannes C.; Mackay, Clare E.

2016-01-01

Abstract See Postuma (doi:10.1093/aww131) for a scientific commentary on this article. Resting state functional magnetic resonance imaging dysfunction within the basal ganglia network is a feature of early Parkinson’s disease and may be a diagnostic biomarker of basal ganglia dysfunction. Currently, it is unclear whether these changes are present in so-called idiopathic rapid eye movement sleep behaviour disorder, a condition associated with a high rate of future conversion to Parkinson’s disease. In this study, we explore the utility of resting state functional magnetic resonance imaging to detect basal ganglia network dysfunction in rapid eye movement sleep behaviour disorder. We compare these data to a set of healthy control subjects, and to a set of patients with established early Parkinson’s disease. Furthermore, we explore the relationship between resting state functional magnetic resonance imaging basal ganglia network dysfunction and loss of dopaminergic neurons assessed with dopamine transporter single photon emission computerized tomography, and perform morphometric analyses to assess grey matter loss. Twenty-six patients with polysomnographically-established rapid eye movement sleep behaviour disorder, 48 patients with Parkinson’s disease and 23 healthy control subjects were included in this study. Resting state networks were isolated from task-free functional magnetic resonance imaging data using dual regression with a template derived from a separate cohort of 80 elderly healthy control participants. Resting state functional magnetic resonance imaging parameter estimates were extracted from the study subjects in the basal ganglia network. In addition, eight patients with rapid eye movement sleep behaviour disorder, 10 with Parkinson’s disease and 10 control subjects received 123I-ioflupane single photon emission computerized tomography. We tested for reduction of basal ganglia network connectivity, and for loss of tracer uptake in rapid eye

Detection of prions in blood from patients with variant Creutzfeldt-Jakob disease.

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Concha-Marambio, Luis; Pritzkow, Sandra; Moda, Fabio; Tagliavini, Fabrizio; Ironside, James W; Schulz, Paul E; Soto, Claudio

2016-12-21

Human prion diseases are infectious and invariably fatal neurodegenerative diseases. They include sporadic Creutzfeldt-Jakob disease (sCJD), the most common form, and variant CJD (vCJD), which is caused by interspecies transmission of prions from cattle infected by bovine spongiform encephalopathy. Development of a biochemical assay for the sensitive, specific, early, and noninvasive detection of prions (PrP Sc ) in the blood of patients affected by prion disease is a top medical priority to increase the safety of the blood supply. vCJD has already been transmitted from human to human by blood transfusion, and the number of asymptomatic carriers of vCJD in the U.K. alone is estimated to be 1 in 2000 people. We used the protein misfolding cyclic amplification (PMCA) technique to analyze blood samples from 14 cases of vCJD and 153 controls, including patients affected by sCJD and other neurodegenerative or neurological disorders as well as healthy subjects. Our results showed that PrP Sc could be detected with 100% sensitivity and specificity in blood samples from vCJD patients. Detection was possible in any of the blood fractions analyzed and could be done with as little as a few microliters of sample volume. The PrP Sc concentration in blood was estimated to be ~0.5 pg/ml. Our findings suggest that PMCA may be useful for premortem noninvasive diagnosis of vCJD and to identify prion contamination of the blood supply. Further studies are needed to fully validate the technology. Copyright © 2016, American Association for the Advancement of Science.

Early brain connectivity alterations and cognitive impairment in a rat model of Alzheimer's disease.

Science.gov (United States)

Muñoz-Moreno, Emma; Tudela, Raúl; López-Gil, Xavier; Soria, Guadalupe

2018-02-07

have not yet been detected. Structural and functional network metrics of regions related to reward, memory, and sensory performance were strongly correlated with the cognitive outcome. The use of animal models is essential for the early identification of these alterations and can contribute to the development of early biomarkers of the disease based on MRI connectomics.

Working memory in early Alzheimer's disease: a neuropsychological review.

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Huntley, J D; Howard, R J

2010-02-01

Reports of the extent of working memory (WM) impairment in early Alzheimer's disease (AD) have been inconsistent. Using the model of WM proposed by Baddeley, neuropsychological evidence for the impairment of WM in early AD is evaluated. Literature searches were performed using Medline, PsycINFO and Embase databases. Individual papers were then examined for additional references not revealed by computerised searches. Phonological loop function is intact at the preclinical and early stages of AD, becoming more impaired as the disease progresses. In mild AD, there is impairment on tasks assessing visuospatial sketchpad (VSS) function; however, these tasks also require executive processing by the central executive system (CES). There is evidence that the CES is impaired in mild AD and may be affected in the earlier preclinical stage of the disease. Episodic buffer function may be impaired but further research is required. Future research into central executive functioning at the earliest stages of the disease, combined with further longitudinal studies, needs to be carried out. Tasks to assess the proposed functions of the episodic buffer and specific tests of the VSS suitable for AD subjects need to be developed and validated. Learning more about these processes and how they are affected in AD is important in understanding and managing the cognitive deficits seen in the early stages of AD.

Perianal disease, small bowel disease, smoking, prior steroid or early azathioprine/biological therapy are predictors of disease behavior change in patients with Crohn's disease.

Science.gov (United States)

Lakatos, Peter Laszlo; Czegledi, Zsofia; Szamosi, Tamas; Banai, Janos; David, Gyula; Zsigmond, Ferenc; Pandur, Tunde; Erdelyi, Zsuzsanna; Gemela, Orsolya; Papp, Janos; Lakatos, Laszlo

2009-07-28

To assess the combined effect of disease phenotype, smoking and medical therapy [steroid, azathioprine (AZA), AZA/biological therapy] on the probability of disease behavior change in a Caucasian cohort of patients with Crohn's disease (CD). Three hundred and forty well-characterized, unrelated, consecutive CD patients were analyzed (M/F: 155/185, duration: 9.4 +/- 7.5 years) with a complete clinical follow-up. Medical records including disease phenotype according to the Montreal classification, extraintestinal manifestations, use of medications and surgical events were analyzed retrospectively. Patients were interviewed on their smoking habits at the time of diagnosis and during the regular follow-up visits. A change in disease behavior was observed in 30.8% of patients with an initially non-stricturing, non-penetrating disease behavior after a mean disease duration of 9.0 +/- 7.2 years. In a logistic regression analysis corrected for disease duration, perianal disease, smoking, steroid use, early AZA or AZA/biological therapy use were independent predictors of disease behavior change. In a subsequent Kaplan-Meier survival analysis and a proportional Cox regression analysis, disease location (P = 0.001), presence of perianal disease (P < 0.001), prior steroid use (P = 0.006), early AZA (P = 0.005) or AZA/biological therapy (P = 0.002), or smoking (P = 0.032) were independent predictors of disease behavior change. Our data suggest that perianal disease, small bowel disease, smoking, prior steroid use, early AZA or AZA/biological therapy are all predictors of disease behavior change in CD patients.

Urine biomarkers in the early stages of diseases: current status and perspective.

Science.gov (United States)

Jing, Jian; Gao, Youhe

2018-02-01

As a noninvasive and easily available biological fluid, the urine is becoming an important source for disease biomarker study. Change is essential for the usefulness of a biomarker. Without homeostasis mechanisms, urine can accommodate more changes, especially in the early stages of diseases. In this review, we summarize current status and discuss perspectives on the discovery of urine biomarkers in the early stages of diseases. We emphasize the advantages of urine biomarkers compared to plasma biomarkers for the diagnosis of diseases at early stages, propose a urine biomarker research roadmap, and highlight a novel membrane storage technique that enables large-scale urine sample collection and storage efficiently and economically. It is anticipated that urine biomarker studies will greatly promote early diagnosis, prevention, treatment, and prognosis of a variety of diseases, and provide strong support for translational and precision medicine.

Early diagnostic role of PSA combined miR-155 detection in prostate cancer.

Science.gov (United States)

Guo, T; Wang, X-X; Fu, H; Tang, Y-C; Meng, B-Q; Chen, C-H

2018-03-01

As a kind of malignant tumor in the male genitourinary system, prostate cancer exhibits significantly increased occurrence. Prostate-specific antigen (PSA) expression can be seen in the prostate cancer, prostatitis, and other diseases, therefore, lack of diagnostic specificity. The miR-155 expression is abnormally increased in the tumors. Therefore, this study aims to explore the clinical significance of PSA combined miR-155 detection in the early diagnosis of prostate cancer. A total of 86 patients diagnosed with prostate cancer were enrolled in this study. PSA and miR-155 gene expression in tumor tissue were detected by using Real-time PCR. The serum levels of PSA were measured by using enzyme-linked immunosorbent assay (ELISA). The correlation of PSA and miR-155 expression with age, body mass index (BMI), tumor volume, tumor-node-metastasis (TNM) stage, lymph node metastasis (LNM), and other clinicopathological features were analyzed, respectively. Serum PSA expression and PSA gene in tumor tissue were significantly higher compared to that in adjacent tissues (pPSA gene and protein increased significantly with the clinical stage of TNM and decreased following the increase of grade (pPSA and miR-155 expressions were positively correlated with TNM stage, tumor volume, and LNM, and negatively correlated with grade (pPSA and miR-155 were closely related to the clinicopathological features of prostate cancer. Combined detection is helpful for the early diagnosis of prostate cancer.

The value of combined detection of serum β-HCG and progesterone in diagnosis of early ectopic pregnancy

International Nuclear Information System (INIS)

Lu Yanting; Wang Taisong

2011-01-01

To explore the value of combined detection of serum β-HCG and P in diagnosis of early ectopic pregnancy and expectant therapeutic efficacy. Serum levels of β-HCG and P of 324 patients with early ectopic pregnancy and 146 normal early pregnant women were determined and compared by RIA, Serum β-HCG and P were compared between before and after treatment. The required time when serum β-HCG and P decreased to the normal rang of the patients treated successfully were observed respectively. The results showed that the serum β-HCG and P value in ectopic pregnancy group were significantly lower than those in intrauterine gestation group (P<0.05). The variation of P was significant between success and failure groups of drug conservative treatment, but β-HCG had no significant difference. The required time when serum P decreased to the normal was significantly less than the serum β-HCG dropped to normal. Combined detection of serum levels of β-HCG and P is an adjunctive method to diagnose early ectopic pregnancy, so it giants opportunity for treatment of early ectopic pregnancy and is of positive clinical application value for observation therapeutic effect and prognosis of the disease. P values may be one of the more important reference index to predict whether conservative treatment is successful or not than β-HCG. (authors)

Early-onset Hirayama disease in a female

Directory of Open Access Journals (Sweden)

Matthias Baumann

2017-01-01

Full Text Available Objectives: Hirayama disease is a rare myelopathy, occurring predominantly in males with onset in the teens. Methods and results: Here, we report a young female patient who developed the first signs of Hirayama disease at 10.5 years of age. Prior to onset, she had experienced a growth spurt and grew about 8 cm. The disease progressed over 3 years and the typical clinical, electrophysiological, and neuroimaging signs of Hirayama disease were found. After this period and achievement of her final height, no further progression was noticed. Conclusions: This case highlights that pediatric neurologists should be aware of Hirayama disease, which can also occur in girls in early adolescence.

Molecular characterization of early blight disease resistant and ...

African Journals Online (AJOL)

Potato early blight disease caused by Alternaria solani is one of the major factors limiting potato production worldwide. Developing highly resistant cultivars is the most effective way to control the disease. In this study, 20 random amplified polymorphic DNA (RAPD) and 6 simple sequence repeats (SSR) primers were ...

Use of Nested and Real-Time PCR for the Detection of Ceratocystis fagacearum in the Sapwood of Diseased Oak Species in Minnesota

Science.gov (United States)

A. Yang; J. Juzwik

2017-01-01

Oak wilt caused by Ceratocystis fagacearum is a significant disease of Quercus spp. in the eastern United States. Early and accurate detection of the pathogen is particularly important when disease control is planned. Nested and real-time polymerase chain reaction (PCR) methods utilizing fungal DNA extracted from sapwood drill...

'RIG'- surgical gamma probe for early breast cancer detection

International Nuclear Information System (INIS)

Walinjkar, P.B.; Singh, Gursharan; Kumar, Umesh; Pendharkar, A.S.; Choudhary, P.S.

2004-01-01

Breast cancer is one of the most common cancers in women, which if detected in early stage can be effectively treated and cured. Early detection is carried out by collecting a sentinel lymph node (SLN) and testing it for cancer. The surgical gamma probe is a hand-held device used in the localization of SLN. It enables the localization of the active node. Isotope Applications Division, BARC has developed indigenously a RIG Surgical Gamma Probe in consultation with the doctors from Rajiv Gandhi Cancer Institute and Research Centre, New Delhi. The system consists of microcomputer-based gamma counting system that displays the number of pulses detected by the probe in counts per second and has an audible signal in direct correlation with the count density. The detector probe is based on the scintillation detector housed in a stainless steel housing with lead collimator. The physical parameters are a high sensitivity of 5000 cps/MBq at probe tip with good spatial resolution. The performance of this probe was clinically evaluated on the basis of spatial resolution and accuracy to detect the active node. (author)

Clustering of transcriptional profiles identifies changes to insulin signaling as an early event in a mouse model of Alzheimer's disease.

Science.gov (United States)

Jackson, Harriet M; Soto, Ileana; Graham, Leah C; Carter, Gregory W; Howell, Gareth R

2013-11-25

Alzheimer's disease affects more than 35 million people worldwide but there is no known cure. Age is the strongest risk factor for Alzheimer's disease but it is not clear how age-related changes impact the disease. Here, we used a mouse model of Alzheimer's disease to identify age-specific changes that occur prior to and at the onset of traditional Alzheimer-related phenotypes including amyloid plaque formation. To identify these early events we used transcriptional profiling of mouse brains combined with computational approaches including singular value decomposition and hierarchical clustering. Our study identifies three key events in early stages of Alzheimer's disease. First, the most important drivers of Alzheimer's disease onset in these mice are age-specific changes. These include perturbations of the ribosome and oxidative phosphorylation pathways. Second, the earliest detectable disease-specific changes occur to genes commonly associated with the hypothalamic-adrenal-pituitary (HPA) axis. These include the down-regulation of genes relating to metabolism, depression and appetite. Finally, insulin signaling, in particular the down-regulation of the insulin receptor substrate 4 (Irs4) gene, may be an important event in the transition from age-related changes to Alzheimer's disease specific-changes. A combination of transcriptional profiling combined with computational analyses has uncovered novel features relevant to Alzheimer's disease in a widely used mouse model and offers avenues for further exploration into early stages of AD.

Metabolic differentiation of early Lyme disease from southern tick-associated rash illness (STARI).

Science.gov (United States)

Molins, Claudia R; Ashton, Laura V; Wormser, Gary P; Andre, Barbara G; Hess, Ann M; Delorey, Mark J; Pilgard, Mark A; Johnson, Barbara J; Webb, Kristofor; Islam, M Nurul; Pegalajar-Jurado, Adoracion; Molla, Irida; Jewett, Mollie W; Belisle, John T

2017-08-16

Lyme disease, the most commonly reported vector-borne disease in the United States, results from infection with Borrelia burgdorferi. Early clinical diagnosis of this disease is largely based on the presence of an erythematous skin lesion for individuals in high-risk regions. This, however, can be confused with other illnesses including southern tick-associated rash illness (STARI), an illness that lacks a defined etiological agent or laboratory diagnostic test, and is coprevalent with Lyme disease in portions of the eastern United States. By applying an unbiased metabolomics approach with sera retrospectively obtained from well-characterized patients, we defined biochemical and diagnostic differences between early Lyme disease and STARI. Specifically, a metabolic biosignature consisting of 261 molecular features (MFs) revealed that altered N -acyl ethanolamine and primary fatty acid amide metabolism discriminated early Lyme disease from STARI. Development of classification models with the 261-MF biosignature and testing against validation samples differentiated early Lyme disease from STARI with an accuracy of 85 to 98%. These findings revealed metabolic dissimilarity between early Lyme disease and STARI, and provide a powerful and new approach to inform patient management by objectively distinguishing early Lyme disease from an illness with nearly identical symptoms. Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Review of the Ethical Issues of a Biomarker-Based Diagnoses in the Early Stage of Alzheimer's Disease.

Science.gov (United States)

Vanderschaeghe, Gwendolien; Dierickx, Kris; Vandenberghe, Rik

2018-03-12

Today, many healthcare or dementia organizations, clinicians, and companies emphasize the importance of detection of Alzheimer's disease in an early phase. This idea has gained considerable momentum due to the development of biomarkers, the recent FDA and EMA approval of three amyloid tracers, and the failure of a number of recent therapeutic trials conducted in the early dementia phase. On the one hand, an early etiological diagnosis can lead to early and more efficacious intervention. On the other hand, it is questioned how early an etiological diagnosis is beneficial to the patient. Here we consider ethical issues related to the process of biomarker testing and the impact on the diagnostic disclosure to patients with mild cognitive impairment due to prodromal Alzheimer's disease. A systematic review of the theoretical bioethics literature was performed by using electronic databases. The review was limited to articles published in English between 2003 and 2016. A total of twenty articles were included in our effort to make an analysis of the ethical challenges. One of the biggest challenges was the uncertainty and the predictive value of the biomarker-based diagnosis where patients can be amyloid positive without full certainty whether or when they will develop symptomatic decline due to Alzheimer's disease. Another challenge was the tension between the right to know versus the wish not to know, the limited efficacy of currently available treatment options, and the opportunities and consequences after receiving such an early diagnosis. Based on the results and the additional comments in the discussion, several unanswered questions emerged. Therefore, careful consideration of all these ethical issues is required before the disclosure of a biomarker-based diagnosis to the patient with mild cognitive impairment due to Alzheimer's disease.

Early detection of drillstring washouts reduces fishing jobs

Energy Technology Data Exchange (ETDEWEB)

Dudleson, B. (Dubai Petroleum Co. (FR)); Arnold, M.; McCann, D. (Sedco Forex (FR))

1990-10-01

Rapid detection of unexpected drilling events requires continuous monitoring of drilling parameters. A major R and D program by a drilling contractor has led to the introduction of a computerized monitoring system on its offshore rigs. System includes advanced color graphics displays and new smart alarms to help both contractor and operator personnel detect and observe drilling events before they would normally be apparent with conventional rig instrumentation. This article describes a module of this monitoring system, which uses expert system technology to detect the earliest stages of drillstring washouts. Field results demonstrate the effectiveness of the smart alarm incorporated in the system. Early detection allows the driller to react before a twist-off results in expensive fishing operations.

Breast cancer - Early detection with mammography. Crushed stone-like calcifications - The most frequent malignant type

International Nuclear Information System (INIS)

Tabar, Laszlo; Central Hospital, Falun; Tot, Tibor; Central Hospital, Falun; Dean, Peter B.

2008-01-01

A comprehensive guide for analyzing the most common malignant type calcifications on the mammogram Internationally renowned breast cancer imagers Laszlo Tabar and Peter B. Dean and the eminent breast pathologist Tibor Tot distill decades of clinical expertise in this new volume covering the most frequently occurring malignant type calcifications: the pleomorphic, crushed stone-like calcifications. The book presents a systematic approach to using mammographic features to distinguish different subtypes of breast diseases originating within the terminal ductal lobular unit (TDLU). More than 800 images demonstrate abnormal findings with superb clarity, providing a state-of-the-art visual reference for interpreting mammograms in the clinical setting. Features: - Concise descriptions of mammographic and MRI findings correlated with high-quality histopathologic images to provide a reliable guide for accurate diagnosis and differential diagnosis, as well as prognostic classification - Extensive coverage of all aspects of the benign differential diagnostic counterparts of pleomorphic calcifications, including fibrocystic change, fibroadenoma, and papilloma - Straightforward discussion of terminology based on a thorough analysis of subgross anatomy, 3D histologic features, and long-term disease outcomes - 3D viewing glasses enclosed in the book for perceiving specially marked images in their true 3D form This book is ideal for all breast imagers and breast pathologists, as well as for surgeons and oncologists specializing in breast diseases. For the radiologist, this book is an indispensable reference for harnessing the power of mammography to detect breast cancer at the earliest stages possible. About the Breast Cancer: Early Detection with Mammography series: This series grew out of the bestselling book Breast Cancer: The Art and Science of Early Detection with Mammography. Written by the same authors, this series is based on 30 years of experience with more than one

Breast cancer - Early detection with mammography. Crushed stone-like calcifications - The most frequent malignant type

Energy Technology Data Exchange (ETDEWEB)

Tabar, Laszlo [Univ. of Uppsala (Sweden). School of Medicine]|[Central Hospital, Falun (Sweden). Dept. of Mammography; Tot, Tibor [Univ. of Uppsala (Sweden). School of Medicine]|[Central Hospital, Falun (Sweden). Dept. of Pathology and Clinical Cytology; Dean, Peter B. [Turku Univ. (Finland). Dept. of Diagnostic Radiology

2008-07-01

A comprehensive guide for analyzing the most common malignant type calcifications on the mammogram Internationally renowned breast cancer imagers Laszlo Tabar and Peter B. Dean and the eminent breast pathologist Tibor Tot distill decades of clinical expertise in this new volume covering the most frequently occurring malignant type calcifications: the pleomorphic, crushed stone-like calcifications. The book presents a systematic approach to using mammographic features to distinguish different subtypes of breast diseases originating within the terminal ductal lobular unit (TDLU). More than 800 images demonstrate abnormal findings with superb clarity, providing a state-of-the-art visual reference for interpreting mammograms in the clinical setting. Features: - Concise descriptions of mammographic and MRI findings correlated with high-quality histopathologic images to provide a reliable guide for accurate diagnosis and differential diagnosis, as well as prognostic classification - Extensive coverage of all aspects of the benign differential diagnostic counterparts of pleomorphic calcifications, including fibrocystic change, fibroadenoma, and papilloma - Straightforward discussion of terminology based on a thorough analysis of subgross anatomy, 3D histologic features, and long-term disease outcomes - 3D viewing glasses enclosed in the book for perceiving specially marked images in their true 3D form This book is ideal for all breast imagers and breast pathologists, as well as for surgeons and oncologists specializing in breast diseases. For the radiologist, this book is an indispensable reference for harnessing the power of mammography to detect breast cancer at the earliest stages possible. About the Breast Cancer: Early Detection with Mammography series: This series grew out of the bestselling book Breast Cancer: The Art and Science of Early Detection with Mammography. Written by the same authors, this series is based on 30 years of experience with more than one

Allostatic Load Assessment for Early Detection of Stress in the Workplace in Egypt.

Science.gov (United States)

Ali, Ola Sayed; Badawy, Nadia; Rizk, Sanaa; Gomaa, Hend; Saleh, Mai Sabry

2016-09-15

Workplace stress is hazardous for its harmful impact on employees' health and organizational productivity. The aim of the study is to apply the Allostatic Load Index (ALI) which is a multi-component measure for health risk assessment and early detection of stress among workers in Egypt. Sixty-two working adults randomly selected from two different working environments in Egypt were included in the study. Participants completed a self-reported questionnaire for socio-demographic and work variables. Andrews and Withey test for Job Satisfaction was filled and 3 ml blood samples were collected. Markers assessed for Allostatic Load were serum cortisol, c-reactive protein, dehydroepiandrosterone-sulphate, total thyroxine, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein, total cholesterol to high-density lipoprotein ratio, systolic and diastolic blood pressures, waist to hip ratio and body mass index. The risk quartile method was used for calculation of ALI. ALI value of four or more indicates high Allostatic Load. Job satisfaction scale defined about a quarter of the study population (24%) to be dissatisfied with Allostatic Load of 2.4 as the mean value. Population percentage with ALI ≥4 reached 12.9% with 100% of them females. A significant association was found between Allostatic Load of primary mediators and age, the presence of chronic diseases, place of work and female gender. Female gender and the old age of the Egyptian workforce under study are at higher risk of chronic diseases. Using an alternative way -for example, the cut-point method- instead of the risk quartiles for dichotomization of markers used in ALI calculation could be more precise for early detection of stress among healthy individuals.

Justification for screening programs for early detection of HBV infections

Directory of Open Access Journals (Sweden)

Małgorzata Leźnicka

2014-12-01

Full Text Available Background: The objective of the study was to collect the data on undetected hepatitis B virus (HBV in the frequently hospitalized (at least twice in the last 5 years population of the Kujawsko-Pomorskie voivodship. The study results could be used by occupational health services and local governments to take preventive actions. Material and Methods: The study focused on empirical data derived from hepatitis B Screening Programme in the Kujawsko-Pomorskie voivodship. The study comprised 6332 people tested for hepatitis B virus surface antigen – HBsAg. They had been hospitalized at least twice. The diagnostic survey was based on an anonymous questionnaire, developed for this study. For the statistical analysis the Statistica 10.0 program was used. A level of statistical significance was assumed at a value of α = 0.05. The results showing that the probability test p satisfy the inequality p < 0.05 were considered to be statistically significant. Results: HBs antigen was detected in 34 patients (0.54%. There was no association between the detected infections and the gender of the respondents. There was no relationship between the detected infections and transfusion of blood and blood products before 1992. Surgical procedures performed in the patients did not increase the risk of hepatitis B infection. Conclusions: Actions aimed at detecting asymptomatic infections should primarily focus on the 35–39 age group. Effective identification of chronically-infected people and application of optimal treatment play a key role in reducing the risk of disease progression in the whole population. Therefore, the implementation of screening programs is warranted for prevention and early detection of hepatitis B. Med Pr 2014;65(6:777–784

Early esophageal cancer detection using RF classifiers

Science.gov (United States)

Janse, Markus H. A.; van der Sommen, Fons; Zinger, Svitlana; Schoon, Erik J.; de With, Peter H. N.

2016-03-01

Esophageal cancer is one of the fastest rising forms of cancer in the Western world. Using High-Definition (HD) endoscopy, gastroenterology experts can identify esophageal cancer at an early stage. Recent research shows that early cancer can be found using a state-of-the-art computer-aided detection (CADe) system based on analyzing static HD endoscopic images. Our research aims at extending this system by applying Random Forest (RF) classification, which introduces a confidence measure for detected cancer regions. To visualize this data, we propose a novel automated annotation system, employing the unique characteristics of the previous confidence measure. This approach allows reliable modeling of multi-expert knowledge and provides essential data for real-time video processing, to enable future use of the system in a clinical setting. The performance of the CADe system is evaluated on a 39-patient dataset, containing 100 images annotated by 5 expert gastroenterologists. The proposed system reaches a precision of 75% and recall of 90%, thereby improving the state-of-the-art results by 11 and 6 percentage points, respectively.

A possible new diagnostic biomarker in early diagnosis of Alzheimer's disease

DEFF Research Database (Denmark)

Kork, Felix; Holthues, Jan; Hellweg, Rainer

2009-01-01

Early diagnosis in patients with Alzheimer's disease (AD) is of great importance since only a sufficient treatment in early stages of this disease helps to keep patients in an autonomous state for as long as possible. Until now, there is no single diagnostic biomarker for AD derived from material...

Driving in Early-Stage Alzheimer's Disease: An Integrative Review of the Literature.

Science.gov (United States)

Davis, Rebecca L; Ohman, Jennifer M

2017-03-01

One of the most difficult decisions for individuals with Alzheimer's disease (AD) is when to stop driving. Because driving is a fundamental activity linked to socialization, independent functioning, and well-being, making the decision to stop driving is not easy. Cognitive decline in older adults can lead to getting lost while driving, difficulty detecting and avoiding hazards, as well as increased errors while driving due to compromised judgment and difficulty in making decisions. The purpose of the current literature review was to synthesize evidence regarding how individuals with early-stage AD, their families, and providers make determinations about driving safety, interventions to increase driving safety, and methods to assist cessation and coping for individuals with early-stage AD. The evidence shows that changes in driving ability start early and progress throughout the trajectory of AD. Some individuals with mild cognitive impairment or early-stage AD may be safe to drive for a period of time. Support groups aimed at helping with the transition have been shown to be helpful for individuals who stop driving. Research and practice must support interventions to help individuals maintain safety while driving, as well as cope with driving cessation. [Res Gerontol Nurs. 2017; 10(2):86-100.]. Copyright 2016, SLACK Incorporated.

Early diagnosis of Parkinson's disease: neurospect by trodat-1Tc99m, dopamine transporter marker

International Nuclear Information System (INIS)

Mena, Ismael; Diaz, Fernando; Gomez, Ariel

2001-01-01

Information: We have recently preliminarily reported that NeuroSPECT (NSP) of the Dopamine Transporter (DAT) is a highly sensitive method for early diagnosis of Parkinson disease (27). Objectives: To evaluate the sensitivity of NSP of DAT in patients with de novo hemiparkinsonism and compare the contralateral Vs ipsilateral to the symptomatic side results and also Vs. normal controls, in order to assess the sensitivity to detect pre symptomatic and symptomatic impairment of concentration of DAT (Au)

Early detection of sporadic pancreatic cancer: strategic map for innovation--a white paper.

Science.gov (United States)

Kenner, Barbara J; Chari, Suresh T; Cleeter, Deborah F; Go, Vay Liang W

2015-07-01

Innovation leading to significant advances in research and subsequent translation to clinical practice is urgently necessary in early detection of sporadic pancreatic cancer. Addressing this need, the Early Detection of Sporadic Pancreatic Cancer Summit Conference was conducted by Kenner Family Research Fund in conjunction with the 2014 American Pancreatic Association and Japan Pancreas Society Meeting. International interdisciplinary scientific representatives engaged in strategic facilitated conversations based on distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. Ideas generated from the summit have led to the development of a Strategic Map for Innovation built upon 3 components: formation of an international collaborative effort, design of an actionable strategic plan, and implementation of operational standards, research priorities, and first-phase initiatives. Through invested and committed efforts of leading researchers and institutions, philanthropic partners, government agencies, and supportive business entities, this endeavor will change the future of the field and consequently the survival rate of those diagnosed with pancreatic cancer.

Exercise and Early-Onset Alzheimer’s Disease: Theoretical Considerations

Directory of Open Access Journals (Sweden)

Astrid M. Hooghiemstra

2012-04-01

Full Text Available Background/Aims: Although studies show a negative relationship between physical activity and the risk for cognitive impairment and late-onset Alzheimer’s disease, studies concerning early-onset Alzheimer’s disease (EOAD are lacking. This review aims to justify the value of exercise interventions in EOAD by providing theoretical considerations that include neurobiological processes. Methods: A literature search on key words related to early-onset dementia, exercise, imaging, neurobiological mechanisms, and cognitive reserve was performed. Results/Conclusion: Brain regions and neurobiological processes contributing to the positive effects of exercise are affected in EOAD and, thus, provide theoretical support for exercise interventions in EOAD. Finally, we present the design of a randomized controlled trial currently being conducted in early-onset dementia patients.

Early detection of radioactive fall-out by gamma-spectrometry

DEFF Research Database (Denmark)

Aage, Helle Karina; Korsbech, Uffe C C; Bargholz, K.

2003-01-01

Radioactive fallout should be detected as early as possible. A new and efficient method for detection of low-level irradiation from manmade radioactivity is developed. Radiation abnormalities are detectable down to air kerma rate, of 0.5 to 1.0 nGy h(-1) for Cs-137 and even lower for I-131...... For multi-gamma energy radioactivity the detection level is 2.6-3.5 nGy h(-1). A standard NaI detector and a 512-channel analyser are used together with noise adjusted singular value decomposition (NASVD). Statistical noise is removed and the measured spectra are reproduced using spectral components...... radioactive sources need to be detected....

Identifying economic hurdles to early adoption of preventative practices: The case of trunk diseases in California winegrape vineyards

Directory of Open Access Journals (Sweden)

Jonathan Kaplan

2016-12-01

Full Text Available Despite the high likelihood of infection and substantial yield losses from trunk diseases, many California practitioners wait to adopt field-tested, preventative practices (delayed pruning, double pruning, and application of pruning-wound protectants until after disease symptoms appear in the vineyard at around 10 years old. We evaluate net benefits from adoption of these practices before symptoms appear in young Cabernet Sauvignon vineyards and after they become apparent in mature vineyards to identify economic hurdles to early adoption. We simulate winegrape production in select counties of California and find widespread benefits from early adoption, increasing vineyard profitable lifespans, in some cases, by close to 50%. However, hurdles may result from uncertainty about the cost and returns from adoption, labor constraints, long time lags in benefits from early adoption, growers’ perceived probabilities of infection, and their discount rate. Development of extension resources communicating benefits and potential hurdles to growers likely reduces uncertainty, increasing early adoption. Improvements in efficacy of preventative practices, perhaps by detecting when pathogen spores are released into the vineyard, will increase early adoption. Lastly, practice cost reductions will increase early adoption too, especially when the time it takes for adoption to payoff and infection uncertainty are influential in adoption decisions.

Early detection and assertive community treatment of young psychotics

DEFF Research Database (Denmark)

Jørgensen, P; Nordentoft, M; Abel, M B

2000-01-01

Recent research indicates that early detection of young persons suffering from psychosis and subsequent intensive intervention enhances treatment response and prognosis, but the data are only preliminary and suggestive....

A combination of circulating miRNAs for the early detection of ovarian cancer

Science.gov (United States)

Yokoi, Akira; Yoshioka, Yusuke; Hirakawa, Akihiro; Yamamoto, Yusuke; Ishikawa, Mitsuya; Ikeda, Shun-ichi; Kato, Tomoyasu; Niimi, Kaoru; Kajiyama, Hiroaki; Kikkawa, Fumitaka; Ochiya, Takahiro

2017-01-01

Ovarian cancer is the leading cause of gynecologic cancer mortality, due to the difficulty of early detection. Current screening methods lack sufficient accuracy, and it is still challenging to propose a new early detection method that improves patient outcomes with less-invasiveness. Although many studies have suggested the utility of circulating microRNAs in cancer detection, their potential for early detection remains elusive. Here, we develop novel predictive models using a combination of 8 circulating serum miRNAs. This method was able to successfully distinguish ovarian cancer patients from healthy controls (area under the curve, 0.97; sensitivity, 0.92; and specificity, 0.91) and early-stage ovarian cancer from patients with benign tumors (0.91, 0.86 and 0.83, respectively). This method also enables subtype classification in 4 types of epithelial ovarian cancer. Furthermore, it is found that most of the 8 miRNAs were packaged in extracellular vesicles, including exosomes, derived from ovarian cancer cells, and they were circulating in murine blood stream. The circulating miRNAs described in this study may serve as biomarkers for ovarian cancer patients. Early detection and subtype determination prior to surgery are crucial for clinicians to design an effective treatment strategy for each patient, as is the goal of precision medicine. PMID:29163790

Computer-aided detection in computed tomography colonography. Current status and problems with detection of early colorectal cancer

International Nuclear Information System (INIS)

Morimoto, Tsuyoshi; Nakijima, Yasuo; Iinuma, Gen; Arai, Yasuaki; Shiraishi, Junji; Moriyama, Noriyuki; Beddoe, G.

2008-01-01

The aim of this study was to evaluate the usefulness of computer-aided detection (CAD) in diagnosing early colorectal cancer using computed tomography colonography (CTC). A total of 30 CTC data sets for 30 early colorectal cancers in 30 patients were retrospectively reviewed by three radiologists. After primary evaluation, a second reading was performed using CAD findings. The readers evaluated each colorectal segment for the presence or absence of colorectal cancer using five confidence rating levels. To compare the assessment results, the sensitivity and specificity with and without CAD were calculated on the basis of the confidence rating, and differences in these variables were analyzed by receiver operating characteristic (ROC) analysis. The average sensitivities for the detection without and with CAD for the three readers were 81.6% and 75.6%, respectively. Among the three readers, only one reader improved sensitivity with CAD compared to that without. CAD decreased specificity in all three readers. CAD detected 100% of protruding lesions but only 69.2% of flat lesions. On ROC analysis, the diagnostic performance of all three readers was decreased by use of CAD. Currently available CAD with CTC does not improve diagnostic performance for detecting early colorectal cancer. An improved CAD algorithm is required for detecting fiat lesions and reducing the false-positive rate. (author)

[CODEPEH 2014 recommendations for the early detection of delayed hearing loss].

Science.gov (United States)

Núñez-Batalla, Faustino; Jáudenes-Casaubón, Carmen; Sequí-Canet, José Miguel; Vivanco-Allende, Ana; Zubicaray-Ugarteche, José

2016-10-01

The latest scientific literature considers early diagnosis of deafness as key element to define the educational prognosis and inclusion of the deaf child, as advantage can be taken in the critical period of development (0-4 years). Highly significant differences exist between those deaf persons who have been stimulated early and those who have received late or inappropriate intervention. Early identification of late-onset disorders requires special attention and knowledge of all childcare professionals. Programs and additional actions beyond neonatal screening should be designed and planned in order to ensure that every child with a significant hearing loss is detected early. For this purpose, the Committee for the Early Detection of Deafness (CODEPEH) would like to highlight the need for continuous monitoring on the hearing health of children. And, for this reason, CODEPEH drafts the recommendations included in the present document. Copyright © 2015 Asociación Española de Pediatría. Publicado por Elsevier España, S.L.U. All rights reserved.

Characterization of early host responses in adults with dengue disease

Directory of Open Access Journals (Sweden)

Ling Ling

2011-08-01

Full Text Available Abstract Background While dengue-elicited early and transient host responses preceding defervescence could shape the disease outcome and reveal mechanisms of the disease pathogenesis, assessment of these responses are difficult as patients rarely seek healthcare during the first days of benign fever and thus data are lacking. Methods In this study, focusing on early recruitment, we performed whole-blood transcriptional profiling on denguevirus PCR positive patients sampled within 72 h of self-reported fever presentation (average 43 h, SD 18.6 h and compared the signatures with autologous samples drawn at defervescence and convalescence and to control patients with fever of other etiology. Results In the early dengue fever phase, a strong activation of the innate immune response related genes were seen that was absent at defervescence (4-7 days after fever debut, while at this second sampling genes related to biosynthesis and metabolism dominated. Transcripts relating to the adaptive immune response were over-expressed in the second sampling point with sustained activation at the third sampling. On an individual gene level, significant enrichment of transcripts early in dengue disease were chemokines CCL2 (MCP-1, CCL8 (MCP-2, CXCL10 (IP-10 and CCL3 (MIP-1α, antimicrobial peptide β-defensin 1 (DEFB1, desmosome/intermediate junction component plakoglobin (JUP and a microRNA which may negatively regulate pro-inflammatory cytokines in dengue infected peripheral blood cells, mIR-147 (NMES1. Conclusions These data show that the early response in patients mimics those previously described in vitro, where early assessment of transcriptional responses has been easily obtained. Several of the early transcripts identified may be affected by or mediate the pathogenesis and deserve further assessment at this timepoint in correlation to severe disease.

Early detection of abnormality by a logistic analysis of atomic bomb survivor's serially performed examinations

International Nuclear Information System (INIS)

Mori, Hiroyuki; Nakamura, Tsuyoshi; Toyoda, Shigeki; Morikawa, Akira.

1986-01-01

It is important to establish a method of using periodic medical examination results for disease screening. A method is described of logistically analyzing results from four or more periodic examinations for the early detection of abnormality. This method was applied to 308 patients who died of gastric cancer and 3,002 normal controls. The logistic analysis showed that the ability to differentiate normal from abnormal findings was better when using the results of the periodic examinations than when using the data of the one particular examination. (Namekawa, K.)

Limbic grey matter changes in early Parkinson's disease.

Science.gov (United States)

Li, Xingfeng; Xing, Yue; Schwarz, Stefan T; Auer, Dorothee P

2017-05-02

The purpose of this study was to investigate local and network-related changes of limbic grey matter in early Parkinson's disease (PD) and their inter-relation with non-motor symptom severity. We applied voxel-based morphometric methods in 538 T1 MRI images retrieved from the Parkinson's Progression Markers Initiative website. Grey matter densities and cross-sectional estimates of age-related grey matter change were compared between subjects with early PD (n = 366) and age-matched healthy controls (n = 172) within a regression model, and associations of grey matter density with symptoms were investigated. Structural brain networks were obtained using covariance analysis seeded in regions showing grey matter abnormalities in PD subject group. Patients displayed focally reduced grey matter density in the right amygdala, which was present from the earliest stages of the disease without further advance in mild-moderate disease stages. Right amygdala grey matter density showed negative correlation with autonomic dysfunction and positive with cognitive performance in patients, but no significant interrelations were found with anxiety scores. Patients with PD also demonstrated right amygdala structural disconnection with less structural connectivity of the right amygdala with the cerebellum and thalamus but increased covariance with bilateral temporal cortices compared with controls. Age-related grey matter change was also increased in PD preferentially in the limbic system. In conclusion, detailed brain morphometry in a large group of early PD highlights predominant limbic grey matter deficits with stronger age associations compared with controls and associated altered structural connectivity pattern. This provides in vivo evidence for early limbic grey matter pathology and structural network changes that may reflect extranigral disease spread in PD. Hum Brain Mapp, 2017. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc. © 2017 The

Feasibility of using fluorescence in situ hybridization (FISH) to detect early gene changes in sputum cells from uranium miners

Energy Technology Data Exchange (ETDEWEB)

Neft, R.E.; Rogers, J.L.; Belinsky, S.A. [and others

1995-12-01

Epidemiological studies have shown that combined exposure to radon progeny and tobacco smoke produce a greater than additive or synergistic increase in lung cancer risk. Lung cancer results from multiple genetic changes over a long period of time. An early change that occurs in lung cancer is trisomy 7 which is found in 50% of non-small cell lung cancer and in the far margins of resected lung tumors. The 80% mortality associated with lung cancer is in part related to the high proportion of patients who present with an advanced, unresectable tumor. Therefore, early detection of patients at risk for tumor development is critical to improve treatment of this disease. Currently, it is difficult to detect lung cancer early while it is still amendable by surgery. Saccomanno, G. has shown that premalignant cytologic changes in sputum cells collected from uranium miners can be detected by a skilled, highly trained cytopathologist. A more objective alternative for identifying premalignant cells in sputum may be to determine whether an early genetic change such as trisomy 7 is present in these cells. Fluorescence in situ hybridization (FISH) can be used to identify cells with trisomy 7. The results of this investigation indicate that FISH may prove to be an accurate, efficient method to test at-risk individuals for genetic alterations in bronchial epithelial cells from sputum.

Feasibility of using fluorescence in situ hybridization (FISH) to detect early gene changes in sputum cells from uranium miners

International Nuclear Information System (INIS)

Neft, R.E.; Rogers, J.L.; Belinsky, S.A.

1995-01-01

Epidemiological studies have shown that combined exposure to radon progeny and tobacco smoke produce a greater than additive or synergistic increase in lung cancer risk. Lung cancer results from multiple genetic changes over a long period of time. An early change that occurs in lung cancer is trisomy 7 which is found in 50% of non-small cell lung cancer and in the far margins of resected lung tumors. The 80% mortality associated with lung cancer is in part related to the high proportion of patients who present with an advanced, unresectable tumor. Therefore, early detection of patients at risk for tumor development is critical to improve treatment of this disease. Currently, it is difficult to detect lung cancer early while it is still amendable by surgery. Saccomanno, G. has shown that premalignant cytologic changes in sputum cells collected from uranium miners can be detected by a skilled, highly trained cytopathologist. A more objective alternative for identifying premalignant cells in sputum may be to determine whether an early genetic change such as trisomy 7 is present in these cells. Fluorescence in situ hybridization (FISH) can be used to identify cells with trisomy 7. The results of this investigation indicate that FISH may prove to be an accurate, efficient method to test at-risk individuals for genetic alterations in bronchial epithelial cells from sputum

Early hearing detection and intervention: 2010 CODEPEH recommendation.

Science.gov (United States)

Trinidad-Ramos, Germán; de Aguilar, Valentín Alzina; Jaudenes-Casaubón, Carmen; Núñez-Batalla, Faustino; Sequí-Canet, José Miguel

2010-01-01

Newborn hearing screening is currently performed routinely in many regional health-care systems in Spain. Despite the remarkable expansion in newborn hearing screening since 2000, its feasibility and the benefits of early identification and intervention, many major challenges still remain. In this article, the Committee for the Early Detection of Hearing Loss (Comisión para la Detección Precoz de la Hipoacusia, CODEPEH) updates the recommendations that are considered important for the future development of early hearing detection and intervention (EDHI) systems in the following points: 1. Screening protocols: Separate protocols are recommended for NICU (Neonatal Intensive Care Units) and well-infant nurseries. 2. Diagnostic audiology evaluation. Professionals with skills and expertise in evaluating newborn and young infants should provide diagnosis, selection and fitting of amplification devices. 3. Medical evaluation. Risk factors for congenital and acquired hearing loss have been combined in a single list rather than grouped by time of onset. A stepwise diagnostic paradigm is diagnostically more efficient and cost-effective than a simultaneous testing approach. 4. Early intervention and surveillance. All individuals providing services to infants with hearing loss should have specialized training and expertise in the development of audition, speech and language. Regular surveillance should be performed on developmental milestones, auditory skills, parental concerns, and middle ear status. 5. Quality control. Data management as part of an integrated system is important to monitor and improve the quality of EDHI services. 2009 Elsevier España, S.L. All rights reserved.

Partial discharge early-warning through ultraviolet spectroscopic detection of SO2

International Nuclear Information System (INIS)

Zhao, Yu; Wang, Xianpei; Dai, Dangdang; Dong, Zhengcheng; Huang, Yunguang

2014-01-01

Surveillance of SF 6  decomposition products is significant for detection of partial discharge (PD) in gas insulation switchgear (GIS). As a basis in on-site detection and diagnosis, PD early-warning aims to quickly find the abnormalities using a simple and cheap device. In this paper, SO 2  is chosen as a feature product and detected through ultraviolet spectroscopy. The derivative method is employed for baseline correction and spectral enhancement. The standard gases of the main decomposition products are qualitatively and quantitatively detected. Then decomposition experiments with different defects are designed to further verify the feasibility. As a stable decomposition product under PD, SO 2  is proved to be applicable for PD early-warning in the field. By selecting the appropriate wavelength range, namely 290–310 nm, ultraviolet derivative spectroscopy is sensitive enough to the trace SO 2  in the decomposed gas and the interference of other products can be avoided. Fast Fourier transform could be used for feature extraction in qualitative detection. Concentrations of SO 2  and other by-products increase with increasing discharge time and could be affected by the discharge energy and PD type. Ultraviolet detection based on SO 2  is effective for PD early-warning but the threshold should still be carefully selected in practice. (paper)

The construction of a panel of serum amino acids for the identification of early chronic kidney disease patients.

Science.gov (United States)

Li, Rui; Dai, Jinna; Kang, Hui

2018-03-01

Serum creatinine, urea, and cystatin-c are standardly used for the evaluation of renal function in the clinic. However, some patients have chronic kidney disease but still retain kidney function; a conventional serum index in these patients can be completely normal. Serum amino acid levels can reflect subtle changes in metabolism and are closely related to renal function. Here, we investigated how amino acids change as renal impairment increases. Subjects were divided into three groups by renal function glomerular filtration rate: healthy controls, patients with chronic kidney disease with normal kidney function, and patients with chronic kidney disease with decreased kidney function group. We identified 11 amino acids of interest using LC-MS/MS on MRM (+) mode. Statistical analysis indicated that alanine (ALA), valine (VAL), and tyrosine (TYR) decrease with renal function impairment, whereas phenylalanine (PHE) and citrulline (CIT) increase. We tried to construct a diagnostic model utilizing a combination of amino acids capable of identifying early chronic kidney disease patients. The accuracy, specificity, and sensitivity of the combining predictors were 86.9%, 84.6%, and 90.9%, respectively, which is superior to the reported values for serum creatinine, urea, and cystatin-c. Our data suggest that serum amino acid levels may supply important information for the early detection of chronic kidney disease. We are the first to establish a diagnostic model utilizing serum levels of multiple amino acids for the diagnosis of patients with early-stage chronic kidney disease. © 2017 Wiley Periodicals, Inc.

Early-Life Nutritional Programming of Health and Disease in The Gambia.

Science.gov (United States)

Moore, Sophie E

2017-01-01

Exposures during early life are increasingly being recognised as factors that play an important role in the aetiology of chronic non-communicable diseases (NCDs). The "Developmental Origins of Health and Disease" (DOHaD) hypothesis asserts that adverse early-life exposures - most notably unbalanced nutrition - leads to an increased risk for a range of NCDs and that disease risk is highest when there is a "mismatch" between the early- and later-life environments. Thus, the DOHaD hypothesis would predict highest risk in settings undergoing a rapid nutrition transition. We investigated the link between early-life nutritional exposures and long-term health in rural Gambia, West Africa. Using demographic data dating back to the 1940s, the follow-up of randomised controlled trials of nutritional supplementation in pregnancy, and the "experiment of nature" that seasonality in this region provides, we investigated the DOHaD hypothesis in a population with high rates of maternal and infant under-nutrition, a high burden from infectious disease, and an emerging risk of NCDs. Key Messages: Our work in rural Gambia suggests that in populations with high rates of under-nutrition in early life, the immune system may be sensitive to nutritional deficiencies early in life, resulting in a greater susceptibility to infection-related morbidity and mortality. © 2017 S. Karger AG, Basel.

Early-life stress origins of gastrointestinal disease: animal models, intestinal pathophysiology, and translational implications

Science.gov (United States)

Pohl, Calvin S.; Medland, Julia E.

2015-01-01

Early-life stress and adversity are major risk factors in the onset and severity of gastrointestinal (GI) disease in humans later in life. The mechanisms by which early-life stress leads to increased GI disease susceptibility in adult life remain poorly understood. Animal models of early-life stress have provided a foundation from which to gain a more fundamental understanding of this important GI disease paradigm. This review focuses on animal models of early-life stress-induced GI disease, with a specific emphasis on translational aspects of each model to specific human GI disease states. Early postnatal development of major GI systems and the consequences of stress on their development are discussed in detail. Relevant translational differences between species and models are highlighted. PMID:26451004

Early energy deficit in Huntington disease: identification of a plasma biomarker traceable during disease progression.

Directory of Open Access Journals (Sweden)

Fanny Mochel

Full Text Available Huntington disease (HD is a fatal neurodegenerative disorder, with no effective treatment. The pathogenic mechanisms underlying HD has not been elucidated, but weight loss, associated with chorea and cognitive decline, is a characteristic feature of the disease that is accessible to investigation. We, therefore, performed a multiparametric study exploring body weight and the mechanisms of its loss in 32 presymptomatic carriers and HD patients in the early stages of the disease, compared to 21 controls. We combined this study with a multivariate statistical analysis of plasma components quantified by proton nuclear magnetic resonance ((1H NMR spectroscopy. We report evidence of an early hypermetabolic state in HD. Weight loss was observed in the HD group even in presymptomatic carriers, although their caloric intake was higher than that of controls. Inflammatory processes and primary hormonal dysfunction were excluded. (1H NMR spectroscopy on plasma did, however, distinguish HD patients at different stages of the disease and presymptomatic carriers from controls. This distinction was attributable to low levels of the branched chain amino acids (BCAA, valine, leucine and isoleucine. BCAA levels were correlated with weight loss and, importantly, with disease progression and abnormal triplet repeat expansion size in the HD1 gene. Levels of IGF1, which is regulated by BCAA, were also significantly lower in the HD group. Therefore, early weight loss in HD is associated with a systemic metabolic defect, and BCAA levels may be used as a biomarker, indicative of disease onset and early progression. The decreased plasma levels of BCAA may correspond to a critical need for Krebs cycle energy substrates in the brain that increased metabolism in the periphery is trying to provide.

Fulfilling the potential of cancer prevention and early detection

National Research Council Canada - National Science Library

Curry, Susan J; Byers, Tim; Hewitt, Maria Elizabeth

2003-01-01

.... The National Cancer Policy Board, part of the Institute of Medicine, outlines a national strategy to realize the promise of cancer prevention and early detection, including specific and wide-ranging recommendations...

[Early detection of autism in children. Review of literature].

Science.gov (United States)

Pisula, E

1997-01-01

The difficulties with early detection of autistic disorder in children are discussed. DSM-IV diagnostic criteria are presented. Usefulness of clinical interview and clinical experiment in diagnosing autistic disorder are analyzed.

Biomedical sensors for disease detection made simple

DEFF Research Database (Denmark)

Veldhuis, Djuke

2015-01-01

Researchers in Korea have succeeded in making a new protein detection platform, using low-cost plastic and paper substrates. Their work could help reduce the cost and improve the accuracy of infectious disease diagnosis.......Researchers in Korea have succeeded in making a new protein detection platform, using low-cost plastic and paper substrates. Their work could help reduce the cost and improve the accuracy of infectious disease diagnosis....

Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer

Directory of Open Access Journals (Sweden)

Neha Sharma

2015-01-01

Full Text Available In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most advantageous treatment of the suspicious lesions. The main hurdle in appropriate treatment and control of oral cancer is identification and risk assessment of early disease in the community in a cost-effective fashion. The objective of this research is to design a data mining model using probabilistic neural network and general regression neural network (PNN/GRNN for early detection and prevention of oral malignancy. The model is built using the oral cancer database which has 35 attributes and 1025 records. All the attributes pertaining to clinical symptoms and history are considered to classify malignant and non-malignant cases. Subsequently, the model attempts to predict particular type of cancer, its stage and extent with the help of attributes pertaining to symptoms, gross examination and investigations. Also, the model envisages anticipating the survivability of a patient on the basis of treatment and follow-up details. Finally, the performance of the PNN/GRNN model is compared with that of other classification models. The classification accuracy of PNN/GRNN model is 80% and hence is better for early detection and prevention of the oral cancer.

Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer.

Science.gov (United States)

Sharma, Neha; Om, Hari

2015-01-01

In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most advantageous treatment of the suspicious lesions. The main hurdle in appropriate treatment and control of oral cancer is identification and risk assessment of early disease in the community in a cost-effective fashion. The objective of this research is to design a data mining model using probabilistic neural network and general regression neural network (PNN/GRNN) for early detection and prevention of oral malignancy. The model is built using the oral cancer database which has 35 attributes and 1025 records. All the attributes pertaining to clinical symptoms and history are considered to classify malignant and non-malignant cases. Subsequently, the model attempts to predict particular type of cancer, its stage and extent with the help of attributes pertaining to symptoms, gross examination and investigations. Also, the model envisages anticipating the survivability of a patient on the basis of treatment and follow-up details. Finally, the performance of the PNN/GRNN model is compared with that of other classification models. The classification accuracy of PNN/GRNN model is 80% and hence is better for early detection and prevention of the oral cancer.

Early and late endocrine effects in pediatric central nervous system diseases.

Science.gov (United States)

Aslan, Ivy R; Cheung, Clement C

2014-01-01

Endocrinopathies are frequently linked to central nervous system disease, both as early effects prior to the disease diagnosis and/or late effects after the disease has been treated. In particular, tumors and infiltrative diseases of the brain and pituitary, such as craniopharyngioma, optic pathway and hypothalamic gliomas, intracranial germ cell tumor, and Langerhans cell histiocytosis, can present with abnormal endocrine manifestations that precede the development of neurological symptoms. Early endocrine effects include diabetes insipidus, growth failure, obesity, and precocious or delayed puberty. With improving prognosis and treatment of childhood brain tumors, many survivors experience late endocrine effects related to medical and surgical interventions. Chemotherapeutic agents and radiation therapy can affect the hypothalamic-pituitary axes governing growth, thyroid, gonadal, and adrenal function. In addition, obesity and metabolic alterations are frequent late manifestations. Diagnosing and treating both early and late endocrine manifestations can dramatically improve the growth, well-being, and quality of life of patients with childhood central nervous system diseases.

Cervical screening with Luviva machine for early detection of ...

African Journals Online (AJOL)

Cervical screening with Luviva machine for early detection of cervical dysplasia: ... glandular cell (AGC), Atypical glandular cell favouring neoplasia (AGC-FN), ... in low grade squamous intraepithelial lesion was recorded among the patients.

Cognitive impairment in early-stage non-demented Parkinson's disease patients

DEFF Research Database (Denmark)

Pfeiffer, Helle Cecilie Viekilde; Løkkegaard, A; Zoetmulder, Marielle

2013-01-01

In Parkinson's disease (PD), Parkinson's disease dementia (PDD) and Parkinson's disease-mild cognitive impairment (PD-MCI) are common. PD-MCI is a risk factor for developing PDD. Knowledge of cognition in early-stages PD is essential in understanding and predicting the dementia process....

Perianal disease, small bowel disease, smoking, prior steroid or early azathioprine/biological therapy are predictors of disease behavior change in patients with Crohn’s disease

Science.gov (United States)

Lakatos, Peter Laszlo; Czegledi, Zsofia; Szamosi, Tamas; Banai, Janos; David, Gyula; Zsigmond, Ferenc; Pandur, Tunde; Erdelyi, Zsuzsanna; Gemela, Orsolya; Papp, Janos; Lakatos, Laszlo

2009-01-01

AIM: To assess the combined effect of disease phenotype, smoking and medical therapy [steroid, azathioprine (AZA), AZA/biological therapy] on the probability of disease behavior change in a Caucasian cohort of patients with Crohn’s disease (CD). METHODS: Three hundred and forty well-characterized, unrelated, consecutive CD patients were analyzed (M/F: 155/185, duration: 9.4 ± 7.5 years) with a complete clinical follow-up. Medical records including disease phenotype according to the Montreal classification, extraintestinal manifestations, use of medications and surgical events were analyzed retrospectively. Patients were interviewed on their smoking habits at the time of diagnosis and during the regular follow-up visits. RESULTS: A change in disease behavior was observed in 30.8% of patients with an initially non-stricturing, non-penetrating disease behavior after a mean disease duration of 9.0 ± 7.2 years. In a logistic regression analysis corrected for disease duration, perianal disease, smoking, steroid use, early AZA or AZA/biological therapy use were independent predictors of disease behavior change. In a subsequent Kaplan-Meier survival analysis and a proportional Cox regression analysis, disease location (P = 0.001), presence of perianal disease (P < 0.001), prior steroid use (P = 0.006), early AZA (P = 0.005) or AZA/biological therapy (P = 0.002), or smoking (P = 0.032) were independent predictors of disease behavior change. CONCLUSION: Our data suggest that perianal disease, small bowel disease, smoking, prior steroid use, early AZA or AZA/biological therapy are all predictors of disease behavior change in CD patients. PMID:19630105

Early-life stress origins of gastrointestinal disease: animal models, intestinal pathophysiology, and translational implications.

Science.gov (United States)

Pohl, Calvin S; Medland, Julia E; Moeser, Adam J

2015-12-15

Early-life stress and adversity are major risk factors in the onset and severity of gastrointestinal (GI) disease in humans later in life. The mechanisms by which early-life stress leads to increased GI disease susceptibility in adult life remain poorly understood. Animal models of early-life stress have provided a foundation from which to gain a more fundamental understanding of this important GI disease paradigm. This review focuses on animal models of early-life stress-induced GI disease, with a specific emphasis on translational aspects of each model to specific human GI disease states. Early postnatal development of major GI systems and the consequences of stress on their development are discussed in detail. Relevant translational differences between species and models are highlighted. Copyright © 2015 the American Physiological Society.

Rapid and simple detection of foot-and-mouth disease virus: Evaluation of a cartridge-based molecular detection system for use in basic laboratories.

Science.gov (United States)

Goller, K V; Dill, V; Madi, M; Martin, P; Van der Stede, Y; Vandenberge, V; Haas, B; Van Borm, S; Koenen, F; Kasanga, C J; Ndusilo, N; Beer, M; Liu, L; Mioulet, V; Armson, B; King, D P; Fowler, V L

2018-04-01

Highly contagious transboundary animal diseases such as foot-and-mouth disease (FMD) are major threats to the productivity of farm animals. To limit the impact of outbreaks and to take efficient steps towards a timely control and eradication of the disease, rapid and reliable diagnostic systems are of utmost importance. Confirmatory diagnostic assays are typically performed by experienced operators in specialized laboratories, and access to this capability is often limited in the developing countries with the highest disease burden. Advances in molecular technologies allow implementation of modern and reliable techniques for quick and simple pathogen detection either in basic laboratories or even at the pen-side. Here, we report on a study to evaluate a fully automated cartridge-based real-time RT-PCR diagnostic system (Enigma MiniLab ® ) for the detection of FMD virus (FMDV). The modular system integrates both nucleic acid extraction and downstream real-time RT-PCR (rRT-PCR). The analytical sensitivity of this assay was determined using serially diluted culture grown FMDV, and the performance of the assay was evaluated using a selected range of FMDV positive and negative clinical samples of bovine, porcine and ovine origin. The robustness of the assay was evaluated in an international inter-laboratory proficiency test and by deployment into an African laboratory. It was demonstrated that the system is easy to use and can detect FMDV with high sensitivity and specificity, roughly on par with standard laboratory methods. This cartridge-based automated real-time RT-PCR system for the detection of FMDV represents a reliable and easy to use diagnostic tool for the early and rapid disease detection of acutely infected animals even in remote areas. This type of system could be easily deployed for routine surveillance within endemic regions such as Africa or could alternatively be used in the developed world. © 2017 The Authors. Transboundary and Emerging Diseases

Point/Counterpoint: early detection of prostate cancer: do the benefits outweigh the consequences?

Science.gov (United States)

Carroll, Peter R; Vickers, Andrew J

2014-05-01

Few clinical issues have polarized the oncology community as much as screening for prostate cancer, with advocates of prostate-specific antigen (PSA) testing vocal on one side and skeptics just as vocal on the other. At the NCCN 19th Annual Conference, Dr. Peter R. Carroll and Dr. Andrew J. Vickers tackled the controversy surrounding early detection of prostate cancer, focusing attention on the randomized trial results at the heart of the matter; over-detection (the Achilles' heel of screening); and the rationale behind the new, streamlined 2014 NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Prostate Cancer Early Detection, which emphasize selective early detection and treatment and are tightly aligned with the NCCN Guidelines for Prostate Cancer. Copyright © 2014 by the National Comprehensive Cancer Network.

Chlorophyll as a biomarker for early disease diagnosis

Science.gov (United States)

Manzoor Atta, Babar; Saleem, M.; Ali, Hina; Arshad, Hafiz Muhammad Imran; Ahmed, M.

2018-06-01

The current study was designed to identify the stage for the diagnosis of disease before visible symptoms appeared. Fluorescence spectroscopy has been employed to identify disease signatures for its early diagnosis in rice plant leaves. Bacterial leaf blight (BLB) diseased and healthy leaf samples were collected from the rice fields in September, 2017 which were then used to record spectra using an excitation wavelength at 410 nm. The spectral range of emission was set from 420 to 800 nm which covers the blue–green and the chlorophyll bands. It was found that diseased leaves have a narrower ‘chlorophyll a’ band than healthy ones, and furthermore, that the emission band at 730 nm was either declined or depleted in the sample with high infection symptoms. In contrast, the blue–green region was observed to increase due to the emergence of disease. As the band intensity of chlorophyll decreases during infection, this decrease in chlorophyll content and increase in the blue–green spectral region could provide a new approach for predicting BLB at an early stage. The important finding was that the chlorophyll degradation and rise in the blue–green region take place in leaves with BLB or during BLB infection. Principal component analysis has been applied to spectral data which successfully separated diseased samples from healthy ones even with very small spectral variations.

Determinants of Cancer Early Detection Behaviors:Application of Protection Motivation Theory

OpenAIRE

Rahaei, Zohreh; Ghofranipour, Fazlollah; Morowatisharifabad, Mohammad Ali; Mohammadi, Eesa

2015-01-01

Background: Cancer is account for 13% of all deaths around the world and is the third cause of mortality in Iran. More than one third of these cases are pre-ventable and about 33% are curable with early detection. The aim of this study was to determine the predictors of cancer early detection (CED) behaviors ap-plying Protection Motivation Theory (PMT). Methods: In this cross-sectional study, cluster sampling method was employed to recruit 260 individuals of above 20 years old in Yazd, Ira...

Immune-mediated diseases and microbial exposure in early life

DEFF Research Database (Denmark)

Bisgaard, H; Bønnelykke, K; Stokholm, Jacob

2014-01-01

The non-communicable disease pandemic includes immune-mediated diseases such as asthma and allergy, which are likely originating in early life where the immature immune system is prone to alterations caused by the exposome. The timing of exposure seems critical for the developing immune system...

On the detection of early osteoarthritis by quantitative microscopic imaging

Science.gov (United States)

Mittelstaedt, Daniel John

measurements. These studies demonstrate the ability to use two quantitative microscopic imaging techniques, microCT and microMRI, to detect microscopic changes in collagen and GAG from healthy, biochemically degraded, and early OA cartilage. The capability for microscopic imaging to detect alterations at the earliest stages of OA will ultimately improve the understanding of degradation and may help aid in the detection for the prevention of disease and repair of damaged cartilage.

Toward Improving Early Diagnosis of Congenital Chagas Disease in an Endemic Setting.

Science.gov (United States)

Messenger, Louisa A; Gilman, Robert H; Verastegui, Manuela; Galdos-Cardenas, Gerson; Sanchez, Gerardo; Valencia, Edward; Sanchez, Leny; Malaga, Edith; Rendell, Victoria R; Jois, Malasa; Shah, Vishal; Santos, Nicole; Abastoflor, Maria Del Carmen; LaFuente, Carlos; Colanzi, Rony; Bozo, Ricardo; Bern, Caryn

2017-07-15

Congenital Trypanosoma cruzi transmission is now estimated to account for 22% of new infections, representing a significant public health problem across Latin America and internationally. Treatment during infancy is highly efficacious and well tolerated, but current assays for early detection fail to detect >50% of infected neonates, and 9-month follow-up is low. Women who presented for delivery at 2 urban hospitals in Santa Cruz Department, Bolivia, were screened by rapid test. Specimens from infants of infected women were tested by microscopy (micromethod), quantitative PCR (qPCR), and immunoglobulin (Ig)M trypomastigote excreted-secreted antigen (TESA)-blots at birth and 1 month and by IgG serology at 6 and 9 months. Among 487 infants of 476 seropositive women, congenital T. cruzi infection was detected in 38 infants of 35 mothers (7.8%). In cord blood, qPCR, TESA-blot, and micromethod sensitivities/specificities were 68.6%/99.1%, 58.3%/99.1%, and 16.7%/100%, respectively. When birth and 1-month results were combined, cumulative sensitivities reached 84.2%, 73.7%, and 34.2%, respectively. Low birthweight and/or respiratory distress were reported in 11 (29%) infected infants. Infants with clinical signs had higher parasite loads and were significantly more likely to be detected by micromethod. The proportion of T. cruzi-infected infants with clinical signs has fallen since the 1990s, but symptomatic congenital Chagas disease still represents a significant, albeit challenging to detect, public health problem. Molecular methods could facilitate earlier diagnosis and circumvent loss to follow-up but remain logistically and economically prohibitive for routine screening in resource-limited settings. © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com

Hodgkin's disease part 1: pathology, staging, and management of early stage disease

International Nuclear Information System (INIS)

Mauch, Peter; Yahalom, Joachim

1995-01-01

Over the past 25 years there have been dramatic improvements in our understanding of the epidemiology, biology, natural history, and treatment of Hodgkins disease. Hodgkin's disease is one of the few cancers where both chemotherapy and radiation therapy have provided dramatic improvements in cure of this once uniformly fatal disease. Part 1 of the refresher course on Hodgkin's disease will include a review of: 1) New Findings in epidemiology, immunohistochemistry and molecular biology of the Reed-Sternberg cell including association with Epstein-Barr virus; 2) Review of pathology including discussions of NS 1 vs NS2, and nodular LP subclassifications; 3) Recommendations for staging including the role of staging laparotomy in Hodgkin's disease; 4) Standard techniques for commonly used radiation therapy fields for Hodgkin's disease and 5) Treatment of early stage Hodgkin's disease including an overview on recent and current clinical trials

The die is cast - Arsenic exposure in early life and disease susceptibility

Science.gov (United States)

Abstract Early life exposure to arsenic in humans and mice produces similar patterns of disease in later life. Given the long interval between exposure and effect, epigenetic effects of early life exposure to arsenic may account for development and progression of disease in bo...

Use of stable helium tracer for the early detection of impaired pulmonary function

International Nuclear Information System (INIS)

Susskind, H.; Richards, P.; Atkins, H.L.

1975-01-01

Methodology and instrumentation are being developed to measure distal airway closure, a very sensitive diagnostic technique for the early detection of emphysema and other obstructive lung diseases and premature closure indicating abnormalities. The procedure is rapid and involves the inhalation of only a 1 ml bolus of readily available stable 4 He, continuous measurement of its concentration in the exhaled air with a helium leak detector type of mass spectrometer, and the subsequent analysis of the single-breath washout curve. Helium appears to be an ideal tracer, well-suited for testing in clinics and hospitals, as well as for epidemiological studies relating the effects of atmospheric pollutants and lung impairment and for screening of large populations for pulmonary dysfunction

A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals

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Dhiya Al-Jumeily

2015-01-01

Full Text Available Studies have reported that electroencephalogram signals in Alzheimer’s disease patients usually have less synchronization than those of healthy subjects. Changes in electroencephalogram signals start at early stage but, clinically, these changes are not easily detected. To detect this perturbation, three neural synchrony measurement techniques: phase synchrony, magnitude squared coherence, and cross correlation are applied to three different databases of mild Alzheimer’s disease patients and healthy subjects. We have compared the right and left temporal lobes of the brain with the rest of the brain areas (frontal, central, and occipital as temporal regions are relatively the first ones to be affected by Alzheimer’s disease. Moreover, electroencephalogram signals are further classified into five different frequency bands (delta, theta, alpha beta, and gamma because each frequency band has its own physiological significance in terms of signal evaluation. A new approach using principal component analysis before applying neural synchrony measurement techniques has been presented and compared with Average technique. The simulation results indicated that applying principal component analysis before synchrony measurement techniques shows significantly better results as compared to the lateral one. At the end, all the aforementioned techniques are assessed by a statistical test (Mann-Whitney U test to compare the results.

An Early Detection Method of Type-2 Diabetes Mellitus in Public Hospital

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Hermansyah Hermansyah

2011-08-01

Full Text Available Diabetes is a chronic disease and major problem of morbidity and mortality in developing countries. The International Diabetes Federation estimates that 285 million people around the world have diabetes. This total is expected to rise to 438 million within 20 years. Type-2 diabetes mellitus (T2DM is the most common type of diabetes and accounts for 90-95% of all diabetes. Detection of T2DM from various factors or symptoms became an issue which was not free from false presumptions accompanied by unpredictable effects. According to this context, data mining and machine learning could be used as an alternative way help us in knowledge discovery from data. We applied several learning methods, such as instance based learners, naive bayes, decision tree, support vector machines, and boosted algorithm acquire information from historical data of patients medical records of Mohammad Hoesin public hospital in Southern Sumatera. Rules are extracted from Decision tree to offer decision-making support through early detection of T2DM for clinicians.

Early biotic stress detection in tomato ( Solanum lycopersicum ) by BVOC emissions

NARCIS (Netherlands)

Kasal-Slavik, Tina; Eschweiler, Julia; Kleist, Einhard; Mumm, Roland; Goldbach, Heiner E.; Schouten, Sander; Wildt, Jürgen

2017-01-01

We investigated impacts of early and mild biotic stress on Biogenic Volatile Organic Compounds (BVOC) emissions from tomato in order to test their potential for early (biotic) stress detection. Tomato plants were exposed to two common fungal pathogens, Botrytis cinerea and Oidium neolycopesici and

Potential utility of environmental DNA for early detection of Eurasian watermilfoil (Myriophyllum spicatum)

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Newton, Jeremy; Sepulveda, Adam; Sylvester, K; Thum, Ryan

2016-01-01

Considering the harmful and irreversible consequences of many biological invasions, early detection of an invasive species is an important step toward protecting ecosystems (Sepulveda et al. 2012). Early detection increases the probability that suppression or eradication efforts will be successful because invasive populations are small and localized (Vander Zanden et al. 2010). However, most invasive species are not detected early because current tools have low detection probabilities when target species are rare and the sampling effort required to achieve acceptable detection capabilities with current tools is seldom tractable (Jerde et al. 2011). As a result, many invasive species go undetected until they are abundant and suppression efforts become costly. Novel DNA-based surveillance tools have recently revolutionized early detection abilities using environmental DNA (eDNA) present in the water (Darling and Mahon 2011, Bohmann et al. 2014). In brief, eDNA monitoring enables the identification of organisms from DNA present and collected in water samples. Aquatic and semiaquatic organisms release DNA contained in sloughed, damaged, or partially decomposed tissue and waste products into the water and molecular techniques allow this eDNA in the water column to be identified from simple and easy-tocollect water samples (Darling and Mahon 2011). Despite limited understanding of the production, persistence, and spread of DNA in water (Barnes et al. 2014), eDNA monitoring has been applied not only to invasive species (Jerde et al. 2011), but also to species that are rare, endangered, or highly elusive (Spear et al. 2014). However, most eDNA research and monitoring has focused on detection of invertebrates and vertebrates and less attentionhas been given to developing eDNA techniques for detecting aquatic invasive plants. Eurasian watermilfoil (EWM; Myriophyllum spicatum L.) is an invasive species for which improved early detection would be particularly helpful. Advanced

Optical biopsy - a new armamentarium to detect disease using light

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Pu, Yang; Alfano, Robert R.

2015-03-01

Optical spectroscopy has been considered a promising method for cancer detection for past thirty years because of its advantages over the conventional diagnostic methods of no tissue removal, minimal invasiveness, rapid diagnoses, less time consumption and reproducibility since the first use in 1984. It offers a new armamentarium. Human tissue is mainly composed of extracellular matrix of collagen fiber, proteins, fat, water, and epithelial cells with key molecules in different structures. Tissues contain a number of key fingerprint native endogenous fluorophore molecules, such as tryptophan, collagen, elastin, reduced nicotinamide adenine dinucleotide (NADH), flavin adenine dinucleotide (FAD) and porphyrins. It is well known that abnormalities in metabolic activity precede the onset of a lot of main diseases: carcinoma, diabetes mellitus, atherosclerosis, Alzheimer, and Parkinson's disease, etc. Optical spectroscopy may help in detecting various disorders. Conceivably the biochemical or morphologic changes that cause the spectra variations would appear earlier than the histological aberration. Therefore, "optical biopsy" holds a great promise as clinical tool for diagnosing early stage of carcinomas and other deceases by combining with available photonic technology (e.g. optical fibers, photon detectors, spectrographs spectroscopic ratiometer, fiber-optic endomicroscope and nasopharyngoscope) for in vivo use. This paper focuses on various methods available to detect spectroscopic changes in tissues, for example to distinguish cancerous prostate tissues and/or cells from normal prostate tissues and/or cells. The methods to be described are fluorescence, stokes shift, scattering, Raman, and time-resolved spectroscopy will be reviewed. The underlying physical and biological basis for these optical approaches will be discussed with examples. The idea is to present some of the salient works to show the usefulness and methods of Optical Biopsy for cancer detection and

Mechanism of disease in early osteoarthritis: application of modern MR imaging techniques -- a technical report.

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Jobke, Bjoern; Bolbos, Radu; Saadat, Ehsan; Cheng, Jonathan; Li, Xiaojuan; Majumdar, Sharmila

2013-01-01

The application of biomolecular magnetic resonance imaging becomes increasingly important in the context of early cartilage changes in degenerative and inflammatory joint disease before gross morphological changes become apparent. In this limited technical report, we investigate the correlation of MRI T1, T2 and T1ρ relaxation times with quantitative biochemical measurements of proteoglycan and collagen contents of cartilage in close synopsis with histologic morphology. A recently developed MRI sequence, T1ρ, was able to detect early intracartilaginous degeneration quantitatively and also qualitatively by color mapping demonstrating a higher sensitivity than standard T2-weighted sequences. The results correlated highly with reduced proteoglycan content and disrupted collagen architecture as measured by biochemistry and histology. The findings lend support to a clinical implementation that allows rapid visual capturing of pathology on a local, millimeter level. Further information about articular cartilage quality otherwise not detectable in vivo, via normal inspection, is needed for orthopedic treatment decisions in the present and future. Copyright © 2013 Elsevier Inc. All rights reserved.

Canine Detection of the Volatilome: A Review of Implications for Pathogen and Disease Detection.

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Angle, Craig; Waggoner, Lowell Paul; Ferrando, Arny; Haney, Pamela; Passler, Thomas

2016-01-01

The volatilome is the entire set of volatile organic compounds (VOC) produced by an organism. The accumulation of VOC inside and outside of the body reflects the unique metabolic state of an organism. Scientists are developing technologies to non-invasively detect VOC for the purposes of medical diagnosis, therapeutic monitoring, disease outbreak containment, and disease prevention. Detection dogs are proven to be a valuable real-time mobile detection technology for the detection of VOC related to explosives, narcotics, humans, and many other targets of interests. Little is known about what dogs are detecting when searching for biological targets. It is important to understand where biological VOC originates and how dogs might be able to detect biological targets. This review paper discusses the recent scientific literature involving VOC analysis and postulates potential biological targets for canine detection. Dogs have shown their ability to detect pathogen and disease-specific VOC. Future research will determine if dogs can be employed operationally in hospitals, on borders, in underserved areas, on farms, and in other operational environments to give real-time feedback on the presence of a biological target.

To Know or Not to Know: Ethical Issues Related to Early Diagnosis of Alzheimer's Disease

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Niklas Mattsson

2010-01-01

Full Text Available In Alzheimer's disease (AD, pathological processes start in the brain long before clinical dementia. Biomarkers reflecting brain alterations may therefore indicate disease at an early stage, enabling early diagnosis. This raises several ethical questions and the potential benefits of early diagnosis must be weighted against possible disadvantages. Currently, there are few strong arguments favouring early diagnosis, due to the lack of disease modifying therapy. Also, available diagnostic methods risk erroneous classifications, with potentially grave consequences. However, a possible benefit of early diagnosis even without disease modifying therapy is that it may enable early decision making when patients still have full decision competence, avoiding problems of hypothetical consents. It may also help identifying patients with cognitive dysfunction secondary to other diseases that may be responsive to treatment already today.

Feasibility of detection and intervention for alcohol-related liver disease in the community: the Alcohol and Liver Disease Detection study (ALDDeS).

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Sheron, Nick; Moore, Michael; O'Brien, Wendy; Harris, Scott; Roderick, Paul

2013-10-01

In the past 15 years mortality rates from liver disease have doubled in the UK. Brief alcohol advice is cost effective, but clinically meaningful reductions in alcohol consumption only occur in around 1 in 10 individuals. To provide evidence that detecting early liver disease in the community is feasible, practical, and that feedback of liver risk can increase the proportion of subjects reducing alcohol consumption. A community feasibility study in nine general practice sites in Hampshire. Hazardous and harmful drinkers were identified by WHO AUDIT questionnaire and offered screening for liver fibrosis. In total, 4630 individuals responded, of whom 1128 (24%) hazardous or harmful drinkers were offered a liver fibrosis check using the Southampton Traffic Light (STL) test; 393 (38%) attended and test results were returned by post. The STL has a low threshold for liver fibrosis with 45 (11%) red, 157 (40%) amber, and 191 (49%) green results. Follow-up AUDIT data was obtained for 303/393 (77%) and 76/153 (50%) subjects with evidence of liver damage reduced drinking by at least one AUDIT category (harmful to hazardous, or hazardous to low risk) compared with 52/150 (35%, PAUDIT >15), 22/34 (65%) of STL positives, reduced drinking compared with 10/29 (35%, PDetection of liver disease in the community is feasible, and feedback of liver risk may reduce harmful drinking.

Early life nutritional programming of health and disease in The Gambia.

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Moore, S E

2016-04-01

Exposures during the early life (periconceptional, prenatal and early postnatal) period are increasingly recognized as playing an important role in the aetiology of chronic non-communicable diseases (NCD), including coronary heart disease, stroke, hypertension, Type 2 diabetes and osteoporosis. The 'Developmental Origins of Health and Disease' (DOHaD) hypothesis states that these disorders originate through unbalanced nutrition early in life and risk is highest when there is a 'mismatch' between the early- and later-life environments. Thus, the DOHaD hypothesis would predict highest risk in countries where an excess of infants are born with low birth weight and where there is a rapid transition to nutritional adequacy or excess in adulthood. Here, I will review data from work conducted in rural Gambia, West Africa. Using demographic data dating back to the 1940s, the follow-up of randomized controlled trials of nutritional supplementation in pregnancy and the 'experiment of nature' that seasonality in this region provides, we have investigated the DOHaD hypothesis in a population with high rates of maternal and infant under-nutrition, a high burden from infectious disease, and an emerging risk of NCDs.

Public-private partnerships improve health outcomes in individuals with early stage Alzheimer's disease.

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Galvin, James E; Tolea, Magdalena I; George, Nika; Wingbermuehle, Cheryl

2014-01-01

In a collaborative effort between the Missouri Department of Health, Area Agencies on Aging (AAA), Alzheimer Association, and academic researchers, we tested whether early dementia detection and comprehensive care consultations would improve health outcomes in care receivers (CRs) and their family caregivers (FCGs), therefore addressing an important public health concern. A total of 244 community-dwelling older adults screened for early-stage dementia by the AAA field staff were referred to the Alzheimer Association and participated in Project Learn MORE (Missouri Outreach and Referral Expanded) (PLM) - a 2-year, nonrandomized multisite intervention consisting of comprehensive care consultations to improve coping skills. PLM participants were compared against 96 controls receiving the Alzheimer Association's "usual services" between January 2011 and December 2012. We examined CR and FCG outcomes, including burden, care confidence, and mood, as effects of PLM, on delaying transitions in level of care. CRs showed improved knowledge (P=0.002) and reduced depression (P=0.007), while FCGs demonstrated improved knowledge (P=0.003) and ability to identify sources of support for the CR (P=0.032) and for themselves (P=0.043). However, FCGs were more burdened after PLM (P=0.02), due to increased awareness of Alzheimer's disease. PLM delayed transitions in care (odds ratio [OR] 3.32, 95% confidence level [CI]: 1.25-8.83) with the number needed to treat =6.82. PLM was successful in improving detection of incident cases of dementia in the community and in connecting patients and their families with needed services. Our findings support the use of state agencies and community service partners to detect dementia. Early implementation of psychosocial interventions could have significant impact in improving patient- and family-centered outcomes, potentially providing a cost-efficient alternative to pharmacotherapy.

Lactate dehydrogenase as a biomarker for early renal damage in patients with sickle cell disease

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Mohammad S Alzahri

2015-01-01

Full Text Available Among many complications of sickle cell disease, renal failure is the main contributor to early mortality. It is present in up to 21% of patients with sickle cell disease. Although screening for microalbuminuria and proteinuria is the current acceptable practice to detect and follow renal damage in patients with sickle cell disease, there is a crucial need for other, more sensitive biomarkers. This becomes especially true knowing that those biomarkers start to appear only after more than 60% of the kidney function is lost. The primary purpose of this study is to determine whether lactate dehydrogenase (LDH correlates with other, direct and indirect bio-markers of renal insufficiency in patients with sickle cell disease and, therefore, could be used as a biomarker for early renal damage in patients with sickle cell disease. Fifty-five patients with an established diagnosis of sickle cell disease were recruited to in the study. Blood samples were taken and 24-h urine collection samples were collected. Using Statcrunch, a data analysis tool available on the web, we studied the correlation between LDH and other biomarkers of kidney function as well as the distribution and relationship between the variables. Regression analysis showed a significant negative correlation between serum LDH and creatinine clearance, R (correlation coefficient = -0.44, P = 0.0008. This correlation was more significant at younger age. This study shows that in sickle cell patients LDH correlates with creatinine clearance and, therefore, LDH could serve as a biomarker to predict renal insufficiency in those patients.

Early Detection of Diabetic Retinopathy in Fluorescent Angiography Retinal Images Using Image Processing Methods

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Meysam Tavakoli

2010-12-01

Full Text Available Introduction: Diabetic retinopathy (DR is the single largest cause of sight loss and blindness in the working age population of Western countries; it is the most common cause of blindness in adults between 20 and 60 years of age. Early diagnosis of DR is critical for preventing vision loss so early detection of microaneurysms (MAs as the first signs of DR is important. This paper addresses the automatic detection of MAs in fluorescein angiography fundus images, which plays a key role in computer assisted diagnosis of DR, a serious and frequent eye disease. Material and Methods: The algorithm can be divided into three main steps. The first step or pre-processing was for background normalization and contrast enhancement of the image. The second step aimed at detecting landmarks, i.e., all patterns possibly corresponding to vessels and the optic nerve head, which was achieved using a local radon transform. Then, MAs were extracted, which were used in the final step to automatically classify candidates into real MA and other objects. A database of 120 fluorescein angiography fundus images was used to train and test the algorithm. The algorithm was compared to manually obtained gradings of those images. Results: Sensitivity of diagnosis for DR was 94%, with specificity of 75%, and sensitivity of precise microaneurysm localization was 92%, at an average number of 8 false positives per image. Discussion and Conclusion: Sensitivity and specificity of this algorithm make it one of the best methods in this field. Using local radon transform in this algorithm eliminates the noise sensitivity for microaneurysm detection in retinal image analysis.

Family history of premature death and risk of early onset cardiovascular disease.

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Ranthe, Mattis Flyvholm; Carstensen, Lisbeth; Oyen, Nina; Tfelt-Hansen, Jacob; Christiansen, Michael; McKenna, William J; Wohlfahrt, Jan; Melbye, Mads; Boyd, Heather A

2012-08-28

The purpose of this study was to examine the effect of a family history of premature death, cardiovascular death in particular, on the risk of early cardiovascular disease. Studies suggest that fatal cardiovascular events and less severe cardiovascular diseases may co-occur in families. Consequently, a family history of premature death may indicate a familial cardiac frailty that predisposes to early cardiovascular disease. We ascertained family history of premature death (age Denmark from 1950 to 2008 and followed this cohort for early cardiovascular disease (age history of premature cardiovascular death in first-degree relatives were 1.72 (95% confidence interval [CI]: 1.68 to 1.77), 2.21 (95% CI: 2.11 to 2.31), and 1.94 (95% CI: 1.70 to 2.20), respectively. With ≥2 cardiovascular deaths in a family, corresponding IRRs were 3.30 (95% CI: 2.77 to 3.94), 5.00 (95% CI: 3.87 to 6.45), and 6.18 (95% CI: 3.32 to 11.50). The IRR for any early cardiovascular disease given a family history of premature noncardiovascular death was significantly lower, 1.12 (95% CI: 1.10 to 1.14) (p(cardiac vs. noncardiac) history of premature cardiovascular death was consistently and significantly associated with a risk of early cardiovascular disease, suggesting an inherited cardiac vulnerability. These results should be kept in mind when assessing cardiovascular disease risk in persons with a family history of premature cardiovascular death. Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Early detection of abnormal patient arrivals at hospital emergency department

KAUST Repository

Harrou, Fouzi; Sun, Ying; Kadri, Farid; Chaabane, Sondes; Tahon, Christian

2015-01-01

Overcrowding is one of the most crucial issues confronting emergency departments (EDs) throughout the world. Efficient management of patient flows for ED services has become an urgent issue for most hospital administrations. Handling and detection of abnormal situations is a key challenge in EDs. Thus, the early detection of abnormal patient arrivals at EDs plays an important role from the point of view of improving management of the inspected EDs. It allows the EDs mangers to prepare for high levels of care activities, to optimize the internal resources and to predict enough hospitalization capacity in downstream care services. This study reports the development of statistical method for enhancing detection of abnormal daily patient arrivals at the ED, which able to provide early alert mechanisms in the event of abnormal situations. The autoregressive moving average (ARMA)-based exponentially weighted moving average (EWMA) anomaly detection scheme proposed was successfully applied to the practical data collected from the database of the pediatric emergency department (PED) at Lille regional hospital center, France.

Early detection of abnormal patient arrivals at hospital emergency department

KAUST Repository

Harrou, Fouzi

2015-10-21

Overcrowding is one of the most crucial issues confronting emergency departments (EDs) throughout the world. Efficient management of patient flows for ED services has become an urgent issue for most hospital administrations. Handling and detection of abnormal situations is a key challenge in EDs. Thus, the early detection of abnormal patient arrivals at EDs plays an important role from the point of view of improving management of the inspected EDs. It allows the EDs mangers to prepare for high levels of care activities, to optimize the internal resources and to predict enough hospitalization capacity in downstream care services. This study reports the development of statistical method for enhancing detection of abnormal daily patient arrivals at the ED, which able to provide early alert mechanisms in the event of abnormal situations. The autoregressive moving average (ARMA)-based exponentially weighted moving average (EWMA) anomaly detection scheme proposed was successfully applied to the practical data collected from the database of the pediatric emergency department (PED) at Lille regional hospital center, France.

Imaging and detection of early stage dental caries with an all-optical photoacoustic microscope

Science.gov (United States)

Hughes, D. A.; Sampathkumar, A.; Longbottom, C.; Kirk, K. J.

2015-01-01

Tooth decay, at its earliest stages, manifests itself as small, white, subsurface lesions in the enamel. Current methods for detection in the dental clinic are visual and tactile investigations, and bite-wing X-ray radiographs. These techniques suffer from poor sensitivity and specificity at the earliest (and reversible) stages of the disease due to the small size (tooth decay. Ex-vivo tooth samples exhibiting white spot lesions were scanned and were found to generate a larger (one order of magnitude) photoacoustic (PA) signal in the lesion regions compared to healthy enamel. The high contrast in the PA images potentially allows lesions to be imaged and measured at a much earlier stage than current clinical techniques allow. PA images were cross referenced with histology photographs to validate our experimental results. Our PA system provides a noncontact method for early detection of white-spot lesions with a high detection bandwidth that offers advantages over previously demonstrated ultrasound methods. The technique provides the sensing depth of an ultrasound system, but with the spatial resolution of an optical system.

Digital PCR analysis of circulating tumor DNA: a biomarker for chondrosarcoma diagnosis, prognostication, and residual disease detection.

Science.gov (United States)

Gutteridge, Alice; Rathbone, Victoria M; Gibbons, Rebecca; Bi, Mark; Archard, Nicholas; Davies, Kate E J; Brown, Jake; Plagnol, Vincent; Pillay, Nischalan; Amary, Fernanda; O'Donnell, Paul; Gupta, Manu; Tirabosco, Roberto; Flanagan, Adrienne M; Forshew, Tim

2017-10-01

Conventional chondrosarcoma is the most common primary bone tumor in adults. Prognosis corresponds with tumor grade but remains variable, especially for individuals with grade (G) II disease. There are currently no biomarkers available for monitoring or prognostication of chondrosarcoma. Circulating tumor DNA (ctDNA) has recently emerged as a promising biomarker for a broad range of tumor types. To date, little has been done to study the presence of ctDNA and its potential utility in the management of sarcomas, including chondrosarcoma. In this study, we have assessed ctDNA levels in a cohort of 71 patients, 32 with sarcoma, including 29 individuals with central chondrosarcoma (CS) and 39 with locally aggressive and benign bone and soft tissue tumors, using digital PCR. In patients with CS, ctDNA was detected in pretreatment samples in 14/29 patients, which showed clear correlation with tumor grade as demonstrated by the detection of ctDNA in all patients with GIII and dedifferentiated disease (n = 6) and in 8/17 patients with GII disease, but never associated with GI CS. Notably detection of ctDNA preoperatively in GII disease was associated with a poor outcome. A total of 14 patients with CS had ctDNA levels assessed at multiple time points and in most patients there was a clear reduction following surgical removal. This research lays the foundation for larger studies to assess the utility of ctDNA for chondrosarcoma diagnosis, prognostication, early detection of residual disease and monitoring disease progression. © 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Unsupervised domain adaptation for early detection of drought stress in hyperspectral images

Science.gov (United States)

Schmitter, P.; Steinrücken, J.; Römer, C.; Ballvora, A.; Léon, J.; Rascher, U.; Plümer, L.

2017-09-01

Hyperspectral images can be used to uncover physiological processes in plants if interpreted properly. Machine Learning methods such as Support Vector Machines (SVM) and Random Forests have been applied to estimate development of biomass and detect and predict plant diseases and drought stress. One basic requirement of machine learning implies, that training and testing is done in the same domain and the same distribution. Different genotypes, environmental conditions, illumination and sensors violate this requirement in most practical circumstances. Here, we present an approach, which enables the detection of physiological processes by transferring the prior knowledge within an existing model into a related target domain, where no label information is available. We propose a two-step transformation of the target features, which enables a direct application of an existing model. The transformation is evaluated by an objective function including additional prior knowledge about classification and physiological processes in plants. We have applied the approach to three sets of hyperspectral images, which were acquired with different plant species in different environments observed with different sensors. It is shown, that a classification model, derived on one of the sets, delivers satisfying classification results on the transformed features of the other data sets. Furthermore, in all cases early non-invasive detection of drought stress was possible.

Subjective cognitive impairment: Towards early identification of Alzheimer disease.

Science.gov (United States)

Garcia-Ptacek, S; Eriksdotter, M; Jelic, V; Porta-Etessam, J; Kåreholt, I; Manzano Palomo, S

2016-10-01

Neurodegeneration in Alzheimer disease (AD) begins decades before dementia and patients with mild cognitive impairment (MCI) already demonstrate significant lesion loads. Lack of information about the early pathophysiology in AD complicates the search for therapeutic strategies.Subjective cognitive impairment is the description given to subjects who have memory-related complaints without pathological results on neuropsychological tests. There is no consensus regarding this heterogeneous syndrome, but at least some of these patients may represent the earliest stage in AD. We reviewed available literature in order to summarise current knowledge on subjective cognitive impairment. Although they may not present detectable signs of disease, SCI patients as a group score lower on neuropsychological tests than the general population does, and they also have a higher incidence of future cognitive decline. Depression and psychiatric co-morbidity play a role but cannot account for all cognitive complaints. Magnetic resonance imaging studies in these patients reveal a pattern of hippocampal atrophy similar to that of amnestic mild cognitive impairment and functional MRI shows increased activation during cognitive tasks which might indicate compensation for loss of function. Prevalence of an AD-like pattern of beta-amyloid (Aβ42) and tau proteins in cerebrospinal fluid is higher in SCI patients than in the general population. Memory complaints are relevant symptoms and may predict AD. Interpatient variability and methodological differences between clinical studies make it difficult to assign a definition to this syndrome. In the future, having a standard definition and longitudinal studies with sufficient follow-up times and an emphasis on quantifiable variables may clarify aspects of early AD. Copyright © 2012 Sociedad Española de Neurología. Publicado por Elsevier España, S.L.U. All rights reserved.

A New Method for Early Anomaly Detection of BWR Instabilities

International Nuclear Information System (INIS)

Ivanov, K.N.

2005-01-01

The objective of the performed research is to develop an early anomaly detection methodology so as to enhance safety, availability, and operational flexibility of Boiling Water Reactor (BWR) nuclear power plants. The technical approach relies on suppression of potential power oscillations in BWRs by detecting small anomalies at an early stage and taking appropriate prognostic actions based on an anticipated operation schedule. The research utilizes a model of coupled (two-phase) thermal-hydraulic and neutron flux dynamics, which is used as a generator of time series data for anomaly detection at an early stage. The model captures critical nonlinear features of coupled thermal-hydraulic and nuclear reactor dynamics and (slow time-scale) evolution of the anomalies as non-stationary parameters. The time series data derived from this nonlinear non-stationary model serves as the source of information for generating the symbolic dynamics for characterization of model parameter changes that quantitatively represent small anomalies. The major focus of the presented research activity was on developing and qualifying algorithms of pattern recognition for power instability based on anomaly detection from time series data, which later can be used to formulate real-time decision and control algorithms for suppression of power oscillations for a variety of anticipated operating conditions. The research being performed in the framework of this project is essential to make significant improvement in the capability of thermal instability analyses for enhancing safety, availability, and operational flexibility of currently operating and next generation BWRs.

OPPORTUNITIES OF TRANSVAGINAL ECHOCARDIOGRAPHY FOR EARLY PRENATAL DIAGNOSIS OF INBORN HEART DISEASES IN FETUS

Directory of Open Access Journals (Sweden)

E.A. Shevchenko

2008-01-01

Full Text Available According to the literature data, transvaginal echocardiography (Echocg is the method, used for the doppler diagnostics in early terms of pregnancy (if principles of safety are observed. This method allows detecting about 70–97% of all prognostic cally significant inborn heart diseases in fetus, beginning at 12 week of pregnancy. a scheme of research includes estimation of four chamber cut of fetus heart, and study of state of its main arteries. This is an expert investigation, because it needs special grounding of specialist, high resolution ultrasonic equipment, and considerable expense of time. Wile parameters are estimated, it is necessary to use normative rates of sizes of ventricles and main arteries of fetus, developed by Russian experts, taking into account individual variations.Key words: transvaginal echocardiography, diagnosis, inborn heart disease.

The cost-effectiveness of using chronic kidney disease risk scores to screen for early-stage chronic kidney disease.

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Yarnoff, Benjamin O; Hoerger, Thomas J; Simpson, Siobhan K; Leib, Alyssa; Burrows, Nilka R; Shrestha, Sundar S; Pavkov, Meda E

2017-03-13

Better treatment during early stages of chronic kidney disease (CKD) may slow progression to end-stage renal disease and decrease associated complications and medical costs. Achieving early treatment of CKD is challenging, however, because a large fraction of persons with CKD are unaware of having this disease. Screening for CKD is one important method for increasing awareness. We examined the cost-effectiveness of identifying persons for early-stage CKD screening (i.e., screening for moderate albuminuria) using published CKD risk scores. We used the CKD Health Policy Model, a micro-simulation model, to simulate the cost-effectiveness of using CKD two published risk scores by Bang et al. and Kshirsagar et al. to identify persons in the US for CKD screening with testing for albuminuria. Alternative risk score thresholds were tested (0.20, 0.15, 0.10, 0.05, and 0.02) above which persons were assigned to receive screening at alternative intervals (1-, 2-, and 5-year) for follow-up screening if the first screening was negative. We examined incremental cost-effectiveness ratios (ICERs), incremental lifetime costs divided by incremental lifetime QALYs, relative to the next higher screening threshold to assess cost-effectiveness. Cost-effective scenarios were determined as those with ICERs less than $50,000 per QALY. Among the cost-effective scenarios, the optimal scenario was determined as the one that resulted in the highest lifetime QALYs. ICERs ranged from $8,823 per QALY to $124,626 per QALY for the Bang et al. risk score and $6,342 per QALY to $405,861 per QALY for the Kshirsagar et al. risk score. The Bang et al. risk score with a threshold of 0.02 and 2-year follow-up screening was found to be optimal because it had an ICER less than $50,000 per QALY and resulted in the highest lifetime QALYs. This study indicates that using these CKD risk scores may allow clinicians to cost-effectively identify a broader population for CKD screening with testing for albuminuria

Computerized detection of vertebral compression fractures on lateral chest radiographs: Preliminary results with a tool for early detection of osteoporosis

International Nuclear Information System (INIS)

Kasai, Satoshi; Li Feng; Shiraishi, Junji; Li Qiang; Doi, Kunio

2006-01-01

Vertebral fracture (or vertebral deformity) is a very common outcome of osteoporosis, which is one of the major public health concerns in the world. Early detection of vertebral fractures is important because timely pharmacologic intervention can reduce the risk of subsequent additional fractures. Chest radiographs are used routinely for detection of lung and heart diseases, and vertebral fractures can be visible on lateral chest radiographs. However, investigators noted that about 50% of vertebral fractures visible on lateral chest radiographs were underdiagnosed or under-reported, even when the fractures were severe. Therefore, our goal was to develop a computerized method for detection of vertebral fractures on lateral chest radiographs in order to assist radiologists' image interpretation and thus allow the early diagnosis of osteoporosis. The cases used in this study were 20 patients with severe vertebral fractures and 118 patients without fractures, as confirmed by the consensus of two radiologists. Radiologists identified the locations of fractured vertebrae, and they provided morphometric data on the vertebral shape for evaluation of the accuracy of detecting vertebral end plates by computer. In our computerized method, a curved search area, which included a number of vertebral end plates, was first extracted automatically, and was straightened so that vertebral end plates became oriented horizontally. Edge candidates were enhanced by use of a horizontal line-enhancement filter in the straightened image, and a multiple thresholding technique, followed by feature analysis, was used for identification of the vertebral end plates. The height of each vertebra was determined from locations of identified vertebral end plates, and fractured vertebrae were detected by comparison of the measured vertebral height with the expected height. The sensitivity of our computerized method for detection of fracture cases was 95% (19/20), with 1.03 (139/135) false

UWB based low-cost and non-invasive practical breast cancer early detection

Science.gov (United States)

Vijayasarveswari, V.; Khatun, S.; Fakir, M. M.; Jusoh, M.; Ali, S.

2017-03-01

Breast cancer is one of the main causes of women death worldwide. Breast tumor is an early stage of cancer that locates in cells of a human breast. As there is no remedy, early detection is crucial. Towards this, Ultra-Wideband (UWB) is a prominent candidate. It is a wireless communication technology which can achieve high bandwidth with low power utilization. UWB is suitable to be used for short range communication systems including breast cancer detection since it is secure, non-invasive and human health friendly. This paper presents the low-cost and non-invasive early breast cancer detection strategy using UWB sensor (or antenna). Emphasis is given here to detect breast tumor in 2D and 3D environments. The developed system consisted of hardware and software. Hardware included UWB transceiver and a pair of home-made directional sensor/antenna. The software included feed-forward back propagation Neural Network (NN) module to detect the tumor existence, size and location along with soft interface between software and hardware. Forward scattering technique was used by placing two sensors diagonally opposite sides of a breast phantom. UWB pulses were transmitted from one side of phantom and received from other side, controlled by the software interface in PC environment. Collected received signals were then fed into the NN module for training, testing and validation. The system exhibited detection efficiency on tumor existence, location (x, y, z), and size were approximately 100%, (78.17%, 70.66%, 92.46%), 85.86% respectively. The proposed UWB based early breast cancer detection system could be more practical with low-cost, user friendly and non-harmful features. This project may help users to monitor their breast health regularly at their home.

SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer.

Science.gov (United States)

Petricoin, Emanuel F; Liotta, Lance A

2004-02-01

Proteomics is more than just generating lists of proteins that increase or decrease in expression as a cause or consequence of pathology. The goal should be to characterize the information flow through the intercellular protein circuitry that communicates with the extracellular microenvironment and then ultimately to the serum/plasma macroenvironment. The nature of this information can be a cause, or a consequence, of disease and toxicity-based processes. Serum proteomic pattern diagnostics is a new type of proteomic platform in which patterns of proteomic signatures from high dimensional mass spectrometry data are used as a diagnostic classifier. This approach has recently shown tremendous promise in the detection of early-stage cancers. The biomarkers found by SELDI-TOF-based pattern recognition analysis are mostly low molecular weight fragments produced at the specific tumor microenvironment.

CSF N-glycoproteomics for early diagnosis in Alzheimer's disease.

Science.gov (United States)

Palmigiano, Angelo; Barone, Rita; Sturiale, Luisa; Sanfilippo, Cristina; Bua, Rosaria Ornella; Romeo, Donata Agata; Messina, Angela; Capuana, Maria Luisa; Maci, Tiziana; Le Pira, Francesco; Zappia, Mario; Garozzo, Domenico

2016-01-10

This work aims at exploring the human CSF (Cerebrospinal fluid) N-glycome by MALDI MS techniques, in order to assess specific glycosylation pattern(s) in patients with Alzheimer's disease (n:24) and in subjects with mild cognitive impairment (MCI) (n:11), these last as potential AD patients at a pre-dementia stage. For comparison, 21 healthy controls were studied. We identified a group of AD and MCI subjects (about 40-50% of the studied sample) showing significant alteration of CSF N-glycome profiling, consisting of a decrease in the overall sialylation degree and an increase in species bearing bisecting GlcNAc. Noteworthy, all the MCI patients that converted to AD within the clinical follow-up, had an abnormal CSF glycosylation profile. Based on the studied cohort, CSF glycosylation changes may occur before an AD clinical onset. Previous studies specifically focused on the key role of glycosyltransferase GnT-III on AD-pathogenesis, addressing the patho-mechanism to specific sugar modification of BACE-1 glycoprotein with bisecting GlcNAc. Our patients addressed protein N-glycosylation changes at an early phase of the whole biomolecular misregulation on AD, pointing to CSF N-glycome analyses as promising tool to enhance early detection of AD and also suggesting alternative therapeutics target molecules, such as specific glyco-enzymes. Copyright © 2015 Elsevier B.V. All rights reserved.

Monitoring of lipoxygenase-related plant emission for early detection of drought stress in greenhouse

NARCIS (Netherlands)

Takayama, K.; Jansen, R.M.C.; Verstappen, F.W.A.; Bouwmeester, H.J.

2008-01-01

Early detection of plant stress is a key to effective plant management for crop production. Drought stress is a common abiotic stress in crop production and early detection of drought stress allows us to improve water usage effi ciency and crop quality by demandbased irrigation. This study

Disease-Related Detection with Electrochemical Biosensors: A Review.

Science.gov (United States)

Huang, Ying; Xu, Jin; Liu, Junjie; Wang, Xiangyang; Chen, Bin

2017-10-17

Rapid diagnosis of diseases at their initial stage is critical for effective clinical outcomes and promotes general public health. Classical in vitro diagnostics require centralized laboratories, tedious work and large, expensive devices. In recent years, numerous electrochemical biosensors have been developed and proposed for detection of various diseases based on specific biomarkers taking advantage of their features, including sensitivity, selectivity, low cost and rapid response. This article reviews research trends in disease-related detection with electrochemical biosensors. Focus has been placed on the immobilization mechanism of electrochemical biosensors, and the techniques and materials used for the fabrication of biosensors are introduced in details. Various biomolecules used for different diseases have been listed. Besides, the advances and challenges of using electrochemical biosensors for disease-related applications are discussed.

Validation of Addenbrooke's cognitive examination for detecting early dementia in a Japanese population.

Science.gov (United States)

Yoshida, Hidenori; Terada, Seishi; Honda, Hajime; Ata, Toshie; Takeda, Naoya; Kishimoto, Yuki; Oshima, Etsuko; Ishihara, Takeshi; Kuroda, Shigetoshi

2011-01-30

There is a clear need for brief, but sensitive and specific, cognitive screening instruments for dementia. We assessed the diagnostic accuracy of the Japanese version of Addenbrooke's Cognitive Examination (ACE) in identifying early dementia in comparison with the conventional Mini-Mental State Examination (MMSE). Standard tests for evaluating dementia screening tests were applied. A total of 201 subjects (Alzheimer's disease (AD)=65, frontotemporal dementia (FTD)=24, vascular dementia=26, dementia with Lewy bodies=11, mild cognitive impairment (MCI)=13, and controls=62) participated in this study. The reliability of the ACE was very good (alpha coefficient=0.82). In our patient series, the sensitivity for diagnosing dementia with an ACE score of ≤74 was 0.889 with a specificity of 0.987, and the sensitivity of an ACE score of ≤80 was 0.984 with a specificity of 0.867. The Japanese version of the ACE is a very accurate instrument for the detection of early dementia, and should be widely used in clinical practice. Copyright © 2009 Elsevier Ltd. All rights reserved.

Diagnostic challenges of early Lyme disease: Lessons from a community case series

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Schwarzwalder Alison

2009-06-01

Full Text Available Abstract Background Lyme disease, the most common vector-borne infection in North America, is increasingly reported. When the characteristic rash, erythema migrans, is not recognized and treated, delayed manifestations of disseminated infection may occur. The accuracy of diagnosis and treatment of early Lyme disease in the community is unknown. Methods A retrospective, consecutive case series of 165 patients presenting for possible early Lyme disease between August 1, 2002 and August 1, 2007 to a community-based Lyme referral practice in Maryland. All patients had acute symptoms of less than or equal to 12 weeks duration. Patients were categorized according to the Centers for Disease Control and Prevention criteria and data were collected on presenting history, physical findings, laboratory serology, prior diagnoses and prior treatments. Results The majority (61% of patients in this case series were diagnosed with early Lyme disease. Of those diagnosed with early Lyme disease, 13% did not present with erythema migrans; of those not presenting with a rash, 54% had been previously misdiagnosed. Among those with a rash, the diagnosis of erythema migrans was initially missed in 23% of patients whose rash was subsequently confirmed. Of all patients previously misdiagnosed, 41% had received initial antibiotics likely to be ineffective against Lyme disease. Conclusion For community physicians practicing in high-risk geographic areas, the diagnosis of Lyme disease remains a challenge. Failure to recognize erythema migrans or alternatively, viral-like presentations without a rash, can lead to missed or delayed diagnosis of Lyme disease, ineffective antibiotic treatment, and the potential for late manifestations.

Early diagnosis of breast cancer

International Nuclear Information System (INIS)

Semiglazov, V.F.

1989-01-01

Modern data are presentd on epidemology etiopathogensis and statistics of breast cancer. Home and international clinical and histological classifications is given. Much attention is paid to the methods for early diagnosis of pretumor diseases and breast cancer: clinical roentgenomammography, thrmography and computerized tomomammography. The role of self-examination in cancer early detection has been analyzed. Special attention is paid to system of detection of minimal and unpalpable form of breast cancer, screening of these tumors. 113 refs.; 60 figs.; 6 tabs

Early detection monitoring for larval dreissenid mussels: how much plankton sampling is enough?

Science.gov (United States)

Counihan, Timothy D; Bollens, Stephen M

2017-03-01

The development of quagga and zebra mussel (dreissenids) monitoring programs in the Pacific Northwest provides a unique opportunity to evaluate a regional invasive species detection effort early in its development. Recent studies suggest that the ecological and economic costs of a dreissenid infestation in the Pacific Northwest of the USA would be significant. Consequently, efforts are underway to monitor for the presence of dreissenids. However, assessments of whether these efforts provide for early detection are lacking. We use information collected from 2012 to 2014 to characterize the development of larval dreissenid monitoring programs in the states of Idaho, Montana, Oregon, and Washington in the context of introduction and establishment risk. We also estimate the effort needed for high-probability detection of rare planktonic taxa in four Columbia and Snake River reservoirs and assess whether the current level of effort provides for early detection. We found that the effort expended to monitor for dreissenid mussels increased substantially from 2012 to 2014, that efforts were distributed across risk categories ranging from high to very low, and that substantial gaps in our knowledge of both introduction and establishment risk exist. The estimated volume of filtered water required to fully census planktonic taxa or to provide high-probability detection of rare taxa was high for the four reservoirs examined. We conclude that the current level of effort expended does not provide for high-probability detection of larval dreissenids or other planktonic taxa when they are rare in these reservoirs. We discuss options to improve early detection capabilities.

Simple Objective Detection of Human Lyme Disease Infection Using Immuno-PCR and a Single Recombinant Hybrid Antigen

Science.gov (United States)

Halpern, Micah D.; Molins, Claudia R.; Schriefer, Martin

2014-01-01

A serology-based tiered approach has, to date, provided the most effective means of laboratory confirmation of clinically suspected cases of Lyme disease, but it lacks sensitivity in the early stages of disease and is often dependent on subjectively scored immunoblots. We recently demonstrated the use of immuno-PCR (iPCR) for detecting Borrelia burgdorferi antibodies in patient serum samples that were positive for Lyme disease. To better understand the performance of the Lyme disease iPCR assay, the repeatability and variability of the background of the assay across samples from a healthy population (n = 36) were analyzed. Both of these parameters were found to have coefficients of variation of Lyme disease patient serum samples (n = 12) demonstrated a strong correlation with that of 2-tier testing. Furthermore, a simplified iPCR approach using a single hybrid antigen and detecting only IgG antibodies confirmed the 2-tier diagnosis in the Lyme disease patient serum samples (n = 12). Validation of the hybrid antigen IgG iPCR assay using a blinded panel of Lyme disease and non-Lyme disease patient serum samples (n = 92) resulted in a sensitivity of 69% (95% confidence interval [CI], 50% to 84%), compared to that of the 2-tier analysis at 59% (95% CI, 41% to 76%), and a specificity of 98% (95% CI, 91% to 100%) compared to that of the 2-tier analysis at 97% (95% CI, 88% to 100%). A single-tier hybrid antigen iPCR assay has the potential to be an improved method for detecting host-generated antibodies against B. burgdorferi. PMID:24899074

Development of the Paris definition of early Crohn's disease for disease-modification trials: results of an international expert opinion process.

Science.gov (United States)

Peyrin-Biroulet, Laurent; Billioud, Vincent; D'Haens, Geert; Panaccione, Remo; Feagan, Brian; Panés, Julian; Danese, Silvio; Schreiber, Stefan; Ogata, Haruhiko; Hibi, Toshifumi; Higgins, Peter D R; Beaugerie, Laurent; Chowers, Yehuda; Louis, Edouard; Steinwurz, Flávio; Reinisch, Walter; Rutgeerts, Paul; Colombel, Jean-Frédéric; Travis, Simon; Sandborn, William J

2012-12-01

We report the findings and outputs of an international expert opinion process to develop a definition of early Crohn's disease (CD) that could be used in future disease-modification trials. Nineteen experts on inflammatory bowel diseases held an international expert opinion meeting to discuss and agree on a definition for early CD to be used in disease-modification trials. The process included literature searches for the relevant basic-science and clinical evidence. A published preliminary definition of early CD was used as the basis for development of a proposed definition that was discussed at the expert opinion meeting. The participants then derived a final definition, based on best current knowledge, that it is hoped will be of practical use in disease-modification trials in CD.

Oxidative Stress in Diabetic Nephropathy with Early Chronic Kidney Disease

Directory of Open Access Journals (Sweden)

Alejandra Guillermina Miranda-Díaz

2016-01-01

Full Text Available The increase in the prevalence of diabetes mellitus (DM and the secondary kidney damage produces diabetic nephropathy (DN. Early nephropathy is defined as the presence of microalbuminuria (30–300 mg/day, including normal glomerular filtration rate (GFR or a mildly decreased GFR (60–89 mL/min/1.73 m2, with or without overt nephropathy. The earliest change caused by DN is hyperfiltration with proteinuria. The acceptable excretion rate of albumin in urine is 300 mg/day. Chronic kidney disease (CKD is characterized by abnormalities in renal function that persist for >3 months with health implications. Alterations in the redox state in DN are caused by the persistent state of hyperglycemia and the increase in advanced glycation end products (AGEs with ability to affect the renin-angiotensin system and the transforming growth factor-beta (TGF-β, producing chronic inflammation and glomerular and tubular hypertrophy and favoring the appearance of oxidative stress. In DN imbalance between prooxidant/antioxidant processes exists with an increase in reactive oxygen species (ROS. The overproduction of ROS diminishes expression of the antioxidant enzymes (manganese superoxide dismutase, glutathione peroxidase, and catalase. The early detection of CKD secondary to DN and the timely identification of patients would permit decreasing its impact on health.

Early detection of materials degradation

Science.gov (United States)

Meyendorf, Norbert

2017-02-01

Lightweight components for transportation and aerospace applications are designed for an estimated lifecycle, taking expected mechanical and environmental loads into account. The main reason for catastrophic failure of components within the expected lifecycle are material inhomogeneities, like pores and inclusions as origin for fatigue cracks, that have not been detected by NDE. However, material degradation by designed or unexpected loading conditions or environmental impacts can accelerate the crack initiation or growth. Conventional NDE methods are usually able to detect cracks that are formed at the end of the degradation process, but methods for early detection of fatigue, creep, and corrosion are still a matter of research. For conventional materials ultrasonic, electromagnetic, or thermographic methods have been demonstrated as promising. Other approaches are focused to surface damage by using optical methods or characterization of the residual surface stresses that can significantly affect the creation of fatigue cracks. For conventional metallic materials, material models for nucleation and propagation of damage have been successfully applied for several years. Material microstructure/property relations are well established and the effect of loading conditions on the component life can be simulated. For advanced materials, for example carbon matrix composites or ceramic matrix composites, the processes of nucleation and propagation of damage is still not fully understood. For these materials NDE methods can not only be used for the periodic inspections, but can significantly contribute to the material scientific knowledge to understand and model the behavior of composite materials.

Six psychotropics for pre-symptomatic & early Alzheimer's (MCI, Parkinson's, and Huntington's disease modification

Directory of Open Access Journals (Sweden)

Edward C Lauterbach

2016-01-01

Full Text Available The quest for neuroprotective drugs to slow the progression of neurodegenerative diseases (NDDs, including Alzheimer's disease (AD, Parkinson's disease (PD, and Huntington's disease (HD, has been largely unrewarding. Preclinical evidence suggests that repurposing quetiapine, lithium, valproate, fluoxetine, donepezil, and memantine for early and pre-symptomatic disease-modification in NDDs may be promising and can spare regulatory barriers. The literature of these psychotropics in early stage and pre-symptomatic AD, PD, and HD is reviewed and propitious findings follow. Mild cognitive impairment (MCI phase of AD: salutary human randomized controlled trial findings for low-dose lithium and, in selected patients, donepezil await replication. Pre-symptomatic AD: human epidemiological data indicate that lithium reduces AD risk. Animal model studies (AMS reveal encouraging results for quetiapine, lithium, donepezil, and memantine. Early PD: valproate AMS findings show promise. Pre-symptomatic PD: lithium and valproate AMS findings are encouraging. Early HD: uncontrolled clinical data indicate non-progression with lithium, fluoxetine, donepezil, and memantine. Pre-symptomatic HD: lithium and valproate are auspicious in AMS. Many other promising findings awaiting replication (valproate in MCI; lithium, valproate, fluoxetine in pre-symptomatic AD; lithium in early PD; lithium, valproate, fluoxetine in pre-symptomatic PD; donepezil in early HD; lithium, fluoxetine, memantine in pre-symptomatic HD are reviewed. Dose- and stage-dependent effects are considered. Suggestions for signal-enhancement in human trials are provided for each NDD stage.

Early detection of breast and cervical cancer among indigenous communities in Morelos, Mexico.

Directory of Open Access Journals (Sweden)

Lourdes Campero

2014-09-01

Full Text Available Objective. To analyze the perception in relation to when and how to perform actions for the early detection of breast and cervical cancer among women and health care providers in communities with a high percentage of indigenous population in Morelos, Mexico. Materials and methods. Ten health providers and 58 women users of health services were interviewed which have a first level of attention in five communities. The analysis was developed under the approach of the Grounded Theory. Results. Providers are poorly informed about current regulations and specific clinical indications for the detection of cervical and breast cancer. Few propitiate health literacy under intercultural sensitization. The users have imprecise or wrong notions of the early detection. Conclusions. The need for training in adherence to norms is evident. It is urgent to assume a culturally relevant approach to enable efficient communication and promote health literacy for early detection of these two cancers.

A novel approach for the detection of early gastric cancer: fluorescence spectroscopy of gastric juice.

Science.gov (United States)

Deng, Kai; Zhou, Li Ya; Lin, San Ren; Li, Yuan; Chen, Mo; Geng, Qiu Ming; Li, Yu Wen

2013-06-01

This study aimed to investigate the efficacy of fluorescence spectroscopy of gastric juice for early gastric cancer (EGC) screening. Gastric juice was collected from 101 participants who underwent endoscopy in the Outpatient Endoscopy Center of Peking University Third Hospital. The participants were divided into three groups: the normal mucosa or chronic non-atrophic gastritis (NM-CNAG) group (n = 35), advanced gastric cancer (AGC) group (n = 33) and EGC group (n = 33). Fluorescence spectroscopic analysis was performed in all the gastric juice samples and the maximum fluorescence intensity of the first peak (P1 FI) was measured. The mean fluorescence intensity of P1 FI of gastric juice in AGC (92.1 ± 10.7) and EGC (90.8 ± 12.0) groups was significantly higher than that in the NM-CNAG group (55.7 ± 7.5) (AGC vs NM-CNAG, P = 0.006 and EGC vs NM-CNAG, P = 0.015, respectively). The areas under the receiver operating characteristic curves for the detection of AGC and EGC were 0.681 (95% confidence interval [CI] 0.553-0.810, P = 0.010) and 0.655 (95% CI 0.522-0.787, P = 0.028). With the P1 FI of ≥47.7, the sensitivity, specificity and accuracy for detecting EGC were 69.7%, 57.1% and 63.2%, respectively. The enhancement of P1 FI of gastric juice occurs at the early stage of gastric cancer. Fluorescence spectroscopy of gastric juice may be used as a novel screening tool for the early detection of gastric cancer. © 2013 The Authors. Journal of Digestive Diseases © 2013 Wiley Publishing Asia Pty Ltd and Chinese Medical Association Shanghai Branch, Chinese Society of Gastroenterology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine.

Nanostructured materials with plasmonic nanobiosensors for early cancer detection: A past and future prospect.

Science.gov (United States)

Sugumaran, Sathish; Jamlos, Mohd Faizal; Ahmad, Mohd Noor; Bellan, Chandar Shekar; Schreurs, Dominique

2018-02-15

Early cancer detection and treatment is an emerging and fascinating field of plasmonic nanobiosensor research. It paves to enrich a life without affecting living cells leading to a possible survival of the patient. This review describes a past and future prospect of an integrated research field on nanostructured metamaterials, microwave transmission, surface plasmonic resonance, nanoantennas, and their manifested versatile properties with nano-biosensors towards early cancer detection to preserve human health. Interestingly, (i) microwave transmission shows more advantages than other electromagnetic radiation in reacting with biological tissues, (ii) nanostructured metamaterial (Au) with special properties like size and shape can stimulate plasmonic effects, (iii) plasmonic based nanobiosensors are to explore the efficacy for early cancer tumour detection or single molecular detection and (iv) nanoantenna wireless communication by using microwave inverse scattering nanomesh (MISN) technique instead of conventional techniques can be adopted to characterize the microwave scattered signals from the biomarkers. It reveals that the nanostructured material with plasmonic nanobiosensor paves a fascinating platform towards early detection of cancer tumour and is anticipated to be exploited as a magnificent field in the future. Copyright © 2017 Elsevier B.V. All rights reserved.

Early Detection of Pancreatic Cancer: The Role of Industry in the Development of Biomarkers.

Science.gov (United States)

Kenner, Barbara J; Go, Vay Liang W; Chari, Suresh T; Goldberg, Ann E; Rothschild, Laura J

A diagnosis of pancreatic cancer is devastating owing to its poor prognosis, with a 5-year survival rate of only 9%. Currently, most individuals are diagnosed at a late stage when treatment options are limited. Early detection of pancreatic cancer provides the greatest hope for making substantial improvements in survival. The Kenner Family Research Fund in partnership with the American Pancreatic Association has sponsored a series of fora to stimulate discussion and collaboration on early detection of pancreatic cancer. At the first forum in 2014, "Early Detection of Sporadic Pancreatic Cancer Summit Conference," a strategic plan was set forth by an international group of interdisciplinary scientific representatives and subsequently The Strategic Map for Innovation was generated. The current conference report is the third forum in the series, "Early Detection of Pancreatic Cancer: The Role of Industry in the Development of Biomarkers," which was held in Boston, Massachusetts, on October 27, 2016. This report provides an overview of examples of innovative initiatives by industry and confirms the critical need for collaboration among industry, government, research institutions, and advocacy groups in order to make pancreatic cancer more easily detectable in its earlier stages, when it is more treatable.

Family history of premature death and risk of early onset cardiovascular disease

DEFF Research Database (Denmark)

Ranthe, Mattis Flyvholm; Carstensen, Lisbeth; Oyen, Nina

2012-01-01

The purpose of this study was to examine the effect of a family history of premature death, cardiovascular death in particular, on the risk of early cardiovascular disease.......The purpose of this study was to examine the effect of a family history of premature death, cardiovascular death in particular, on the risk of early cardiovascular disease....

Disease-Related Detection with Electrochemical Biosensors: A Review

Directory of Open Access Journals (Sweden)

Ying Huang

2017-10-01

Full Text Available Rapid diagnosis of diseases at their initial stage is critical for effective clinical outcomes and promotes general public health. Classical in vitro diagnostics require centralized laboratories, tedious work and large, expensive devices. In recent years, numerous electrochemical biosensors have been developed and proposed for detection of various diseases based on specific biomarkers taking advantage of their features, including sensitivity, selectivity, low cost and rapid response. This article reviews research trends in disease-related detection with electrochemical biosensors. Focus has been placed on the immobilization mechanism of electrochemical biosensors, and the techniques and materials used for the fabrication of biosensors are introduced in details. Various biomolecules used for different diseases have been listed. Besides, the advances and challenges of using electrochemical biosensors for disease-related applications are discussed.

The value of magnetic resonance imaging in the early diagnosis of Creutzfeldt-Jakob disease – own experience

International Nuclear Information System (INIS)

Bekiesińska-Figatowska, Monika; Kuczyńska-Zardzewiały, Arleta; Pomianowska, Barbara; Kajdana, Katarzyna; Szpak, Grażyna M.; Iwanowska, Beata; Mądzik, Jarosław

2012-01-01

Creutzfeldt-Jakob disease (CJD) is a rare progressive neurodegenerative disorder, caused by the deposition of the pathological isoform of prion protein PrPsc in the central nervous system. The classic triad of symptoms consists of: rapidly progressive dementia, myoclonus and typical electroencephalographic findings (intermittent rhythmic delta activity and periodic sharp wave complexes). Detection of 14-3-3 protein in the cerebrospinal fluid plays an important diagnostic role as well. Magnetic resonance (MR) images of the brain have been recently incorporated into the diagnostic criteria of sporadic Creutzfeldt-Jakob disease. MR examinations were performed in a 65-year-old man and a 54-year-old woman with delusional disorder and cognitive dysfunction, respectively. Diffusion restriction (hyperintense signal in DWI) was shown in the cortex of the left parietal and occipital lobe in the first patient and symmetrically in the cortex of both cerebral hemispheres except for precentral gyri in the second one. In both cases, the first examinations were misread, with the suspicion of ischemic infarcts as the first differential diagnosis. Consultations and subsequent MR examinations in which lesions in subcortical nuclei appeared allowed for a diagnosis of probable CJD. In the first case it was confirmed by clinical picture, EEG and finally – autopsy. In the second case, EEG was not typical for CJD but the clinical course of the disease confirmed that diagnosis. The authors present the cases of two patients with characteristic MR images that allowed early diagnosis of probable Creutzfeldt-Jakob disease before the characteristic clinical picture appeared. Early diagnosis is nowadays important for the prevention of disease transmission and in the future – hopefully – for early treatment

Early detection strategies for untreated first-episode psychosis

DEFF Research Database (Denmark)

Johannessen, Jan Olav; McGlashan, T H; Larsen, Tor Ketil

2001-01-01

-year inclusion period (1997-2000) are described. It includes targeted information towards the general public, health professionals and schools, and ED teams to recruit appropriate patients into treatment as soon as possible. This plus easy access to psychiatric services via ED teams systematically changed......Some studies in first-episode schizophrenia correlate shorter duration of untreated psychosis (DUP) with better prognosis, suggesting that timing of treatment may be important. A three-site prospective clinical trial in Norway and Denmark is underway to investigate the effect of the timing......-episode cases. The study ultimately will compare early detected with usual detected patients. This paper describes the study's major independent intervention variable, i.e. a comprehensive education and detection system to change DUP in first onset psychosis. System variables and first results from the four...

Dieulafoy's disease: endosonographic detection and endosonography-guided treatment

NARCIS (Netherlands)

Fockens, P.; Meenan, J.; van Dullemen, H. M.; Bolwerk, C. J.; Tytgat, G. N.

1996-01-01

To investigate whether endosonography can help in the detection and treatment of Dieulafoy's disease, we examined eight patients with suspicion of Dieulafoy's disease. Between December 1992 and April 1995, eight patients were referred because of suspicion of Dieulafoy's disease. Seven presented with

Rapid identification and detection of pathogenic Fungi by padlock probes

NARCIS (Netherlands)

Tsui, C.K.M.; Wang, B.; Schoen, C.D.; Hamelin, R.C.

2013-01-01

Fungi are important pathogens of human diseases, as well as to agricultural crop and trees. Molecular diagnostics can detect diseases early, and improve identification accuracy and follow-up disease management. The use of padlock probe is effective to facilitate these detections and pathogen

Using a Negative Binomial Regression Model for Early Warning at the Start of a Hand Foot Mouth Disease Epidemic in Dalian, Liaoning Province, China.

Science.gov (United States)

An, Qingyu; Wu, Jun; Fan, Xuesong; Pan, Liyang; Sun, Wei

2016-01-01

The hand foot and mouth disease (HFMD) is a human syndrome caused by intestinal viruses like that coxsackie A virus 16, enterovirus 71 and easily developed into outbreak in kindergarten and school. Scientifically and accurately early detection of the start time of HFMD epidemic is a key principle in planning of control measures and minimizing the impact of HFMD. The objective of this study was to establish a reliable early detection model for start timing of hand foot mouth disease epidemic in Dalian and to evaluate the performance of model by analyzing the sensitivity in detectability. The negative binomial regression model was used to estimate the weekly baseline case number of HFMD and identified the optimal alerting threshold between tested difference threshold values during the epidemic and non-epidemic year. Circular distribution method was used to calculate the gold standard of start timing of HFMD epidemic. From 2009 to 2014, a total of 62022 HFMD cases were reported (36879 males and 25143 females) in Dalian, Liaoning Province, China, including 15 fatal cases. The median age of the patients was 3 years. The incidence rate of epidemic year ranged from 137.54 per 100,000 population to 231.44 per 100,000population, the incidence rate of non-epidemic year was lower than 112 per 100,000 population. The negative binomial regression model with AIC value 147.28 was finally selected to construct the baseline level. The threshold value was 100 for the epidemic year and 50 for the non- epidemic year had the highest sensitivity(100%) both in retrospective and prospective early warning and the detection time-consuming was 2 weeks before the actual starting of HFMD epidemic. The negative binomial regression model could early warning the start of a HFMD epidemic with good sensitivity and appropriate detection time in Dalian.

Multi-modal neuroimaging in premanifest and early Huntington's disease: 18 month longitudinal data from the IMAGE-HD study.

Science.gov (United States)

Domínguez D, Juan F; Egan, Gary F; Gray, Marcus A; Poudel, Govinda R; Churchyard, Andrew; Chua, Phyllis; Stout, Julie C; Georgiou-Karistianis, Nellie

2013-01-01

IMAGE-HD is an Australian based multi-modal longitudinal magnetic resonance imaging (MRI) study in premanifest and early symptomatic Huntington's disease (pre-HD and symp-HD, respectively). In this investigation we sought to determine the sensitivity of imaging methods to detect macrostructural (volume) and microstructural (diffusivity) longitudinal change in HD. We used a 3T MRI scanner to acquire T1 and diffusion weighted images at baseline and 18 months in 31 pre-HD, 31 symp-HD and 29 controls. Volume was measured across the whole brain, and volume and diffusion measures were ascertained for caudate and putamen. We observed a range of significant volumetric and, for the first time, diffusion changes over 18 months in both pre-HD and symp-HD, relative to controls, detectable at the brain-wide level (volume change in grey and white matter) and in caudate and putamen (volume and diffusivity change). Importantly, longitudinal volume change in the caudate was the only measure that discriminated between groups across all stages of disease: far from diagnosis (>15 years), close to diagnosis (fractional anisotropy, FA), only longitudinal FA change was sensitive to group differences, but only after diagnosis. These findings further confirm caudate atrophy as one of the most sensitive and early biomarkers of neurodegeneration in HD. They also highlight that different tissue properties have varying schedules in their ability to discriminate between groups along disease progression and may therefore inform biomarker selection for future therapeutic interventions.

Early Detection of Undiagnosed Hypertension Based on Occupational Screening in the Hotel and Restaurant Industry

Directory of Open Access Journals (Sweden)

Reingard Seibt

2018-01-01

Full Text Available Blood pressure is the most important, modifiable risk factor for cardiovascular diseases. Lifestyle factors and also workload are the main, potential risk factors for the development of hypertension. This study focused on the early detection of unknown hypertension by screening employees in the hotel and restaurant industry (HRI. 148 HRI employees without hypertension (mean age: 34 years, men: 45% self-measured their blood pressure during rest and for 24 hours of a normal workday. Individuals with a resting blood pressure ≥ 135/85 mmHg were classified as hypertensive. A further analysis investigated whether the currently applicable thresholds for hypertension during work, leisure, and sleep were exceeded on a working day. At rest, 36% of the study participants suffered from hypertension, which increased to 70% under workload and 46% during leisure time and dropped to 8% during sleep. Normal nocturnal dipping (10–20% occurred only in 18% of cases; 78% were extreme dippers (>20%. Occupational hypertension screening is a suitable component of preventive healthcare. Resting blood pressure measurement alone is insufficient for the early detection of risk individuals and should be supplemented by 24-hour ambulatory blood pressure monitoring under working conditions. The impact of workload on blood pressure needs to be given more attention in the guidelines.

Early Detection of Undiagnosed Hypertension Based on Occupational Screening in the Hotel and Restaurant Industry.

Science.gov (United States)

Seibt, Reingard; Hunger, Bettina; Stieler, Lisa; Stoll, Regina; Kreuzfeld, Steffi

2018-01-01

Blood pressure is the most important, modifiable risk factor for cardiovascular diseases. Lifestyle factors and also workload are the main, potential risk factors for the development of hypertension. This study focused on the early detection of unknown hypertension by screening employees in the hotel and restaurant industry (HRI). 148 HRI employees without hypertension (mean age: 34 years, men: 45%) self-measured their blood pressure during rest and for 24 hours of a normal workday. Individuals with a resting blood pressure ≥ 135/85 mmHg were classified as hypertensive. A further analysis investigated whether the currently applicable thresholds for hypertension during work, leisure, and sleep were exceeded on a working day. At rest, 36% of the study participants suffered from hypertension, which increased to 70% under workload and 46% during leisure time and dropped to 8% during sleep. Normal nocturnal dipping (10-20%) occurred only in 18% of cases; 78% were extreme dippers (>20%). Occupational hypertension screening is a suitable component of preventive healthcare. Resting blood pressure measurement alone is insufficient for the early detection of risk individuals and should be supplemented by 24-hour ambulatory blood pressure monitoring under working conditions. The impact of workload on blood pressure needs to be given more attention in the guidelines.

Detection of Alzheimer’s disease by displacement field and machine learning

Directory of Open Access Journals (Sweden)

Yudong Zhang

2015-09-01

Full Text Available Aim. Alzheimer’s disease (AD is a chronic neurodegenerative disease. Recently, computer scientists have developed various methods for early detection based on computer vision and machine learning techniques.Method. In this study, we proposed a novel AD detection method by displacement field (DF estimation between a normal brain and an AD brain. The DF was treated as the AD-related features, reduced by principal component analysis (PCA, and finally fed into three classifiers: support vector machine (SVM, generalized eigenvalue proximal SVM (GEPSVM, and twin SVM (TSVM. The 10-fold cross validation repeated 50 times.Results. The results showed the “DF + PCA + TSVM” achieved the accuracy of 92.75 ± 1.77, sensitivity of 90.56 ± 1.15, specificity of 93.37 ± 2.05, and precision of 79.61 ± 2.21. This result is better than or comparable with not only the other proposed two methods, but also ten state-of-the-art methods. Besides, our method discovers the AD is related to following brain regions disclosed in recent publications: Angular Gyrus, Anterior Cingulate, Cingulate Gyrus, Culmen, Cuneus, Fusiform Gyrus, Inferior Frontal Gyrus, Inferior Occipital Gyrus, Inferior Parietal Lobule, Inferior Semi-Lunar Lobule, Inferior Temporal Gyrus, Insula, Lateral Ventricle, Lingual Gyrus, Medial Frontal Gyrus, Middle Frontal Gyrus, Middle Occipital Gyrus, Middle Temporal Gyrus, Paracentral Lobule, Parahippocampal Gyrus, Postcentral Gyrus, Posterior Cingulate, Precentral Gyrus, Precuneus, Sub-Gyral, Superior Parietal Lobule, Superior Temporal Gyrus, Supramarginal Gyrus, and Uncus.Conclusion. The displacement filed is effective in detection of AD and related brain-regions.

SPECT perfusion brain scintigraphy in dementia: early diagnostic and differential diagnostic

International Nuclear Information System (INIS)

Klisarova, A.

2003-01-01

The present review discusses the role of Single Photon Emission Computer Tomography (SPECT) and Positron Emission Tomography (PET) for the early detection and the differential diagnosis of the different types of dementia. The usefulness of the functional imaging is particularly emphasized in the detection of the early changes occurring in Alzheimer's diseases. The early diagnosis is a crucial factor for the treatment in the phase of reversible changes. The correlation between the severity of the diseases and the degree of hypoperfusion of the functional neuroimaging is also subject to review. SPECT and PET are of particular importance for the differential diagnosis of the various kinds of dementia. The imaging models are defined for the different stages of diseases. The functional imaging together with the clinical tests increase the diagnostic accuracy in Alzheimer's disease. The review presents the relation between the development of Alzheimer's disease and some risk factors. The review confirms the usefulness of SPECT and PET in the early diagnosis of Alzheimer's disease and the differential diagnosis of the different types of dementia which proves the SPECT appropriateness in the routine clinical practice. The brain structures are more advantageous than the other methods of visualisation (CT and MRI) for the detection of the functional disorders in the brain cortex in a number of diseases of the central nervous system. (author)

The use of cell cycle arrest biomarkers in the early detection of acute kidney injury. Is this the new renal troponin?

Science.gov (United States)

Ortega, Luis M; Heung, Michael

2018-04-05

Acute kidney injury (AKI) has a high prevalence in critical care patients. Early detection might prevent patients from developing chronic kidney disease and requirement for renal replacement therapy. If we compare AKI with acute coronary syndrome, in which an increase in cardiac troponin may trigger early diagnosis and therapeutic intervention, we could extrapolate a similar technique in patients with early AKI without changes in urinary frequency or serum creatinine. The objective is to identify biomarker-positive, creatinine-negative patients that would allow therapeutic interventions to be initiated before finding changes in serum creatinine, preventing kidney damage. Tissue inhibitor of metalloproteinase 2 and insulin-like growth factor binding protein 7 are cell cycle arrest biomarkers that have demonstrated, in recent clinical trials, to have good sensitivity and specificity for early detection of AKI. Other recent studies have shown that the joint use of these biomarkers with serum creatinine and urine production could improve the prognosis of AKI in critical patients. The application of these biomarkers in clinical practice would enable the early identification of patients at risk of AKI, establishing interventions that would improve the survival of renal function. Copyright © 2017 Sociedad Española de Nefrología. Published by Elsevier España, S.L.U. All rights reserved.

Genetics and Early Detection in Idiopathic Pulmonary Fibrosis

Science.gov (United States)

Putman, Rachel K.; Rosas, Ivan O.

2014-01-01

Genetic studies hold promise in helping to identify patients with early idiopathic pulmonary fibrosis (IPF). Recent studies using chest computed tomograms (CTs) in smokers and in the general population have demonstrated that imaging abnormalities suggestive of an early stage of pulmonary fibrosis are not uncommon and are associated with respiratory symptoms, physical examination abnormalities, and physiologic decrements expected, but less severe than those noted in patients with IPF. Similarly, recent genetic studies have demonstrated strong and replicable associations between a common promoter polymorphism in the mucin 5B gene (MUC5B) and both IPF and the presence of abnormal imaging findings in the general population. Despite these findings, it is important to note that the definition of early-stage IPF remains unclear, limited data exist to definitively connect abnormal imaging findings to IPF, and genetic studies assessing early-stage pulmonary fibrosis remain in their infancy. In this perspective we provide updated information on interstitial lung abnormalities and their connection to IPF. We summarize information on the genetics of pulmonary fibrosis by focusing on the recent genetic findings of MUC5B. Finally, we discuss the implications of these findings and suggest a roadmap for the use of genetics in the detection of early IPF. PMID:24547893

An Early Fire Detection Algorithm Using IP Cameras

Directory of Open Access Journals (Sweden)

Hector Perez-Meana

2012-05-01

Full Text Available The presence of smoke is the first symptom of fire; therefore to achieve early fire detection, accurate and quick estimation of the presence of smoke is very important. In this paper we propose an algorithm to detect the presence of smoke using video sequences captured by Internet Protocol (IP cameras, in which important features of smoke, such as color, motion and growth properties are employed. For an efficient smoke detection in the IP camera platform, a detection algorithm must operate directly in the Discrete Cosine Transform (DCT domain to reduce computational cost, avoiding a complete decoding process required for algorithms that operate in spatial domain. In the proposed algorithm the DCT Inter-transformation technique is used to increase the detection accuracy without inverse DCT operation. In the proposed scheme, firstly the candidate smoke regions are estimated using motion and color smoke properties; next using morphological operations the noise is reduced. Finally the growth properties of the candidate smoke regions are furthermore analyzed through time using the connected component labeling technique. Evaluation results show that a feasible smoke detection method with false negative and false positive error rates approximately equal to 4% and 2%, respectively, is obtained.

The continuing challenge of early detection of acute otitis media in ...

African Journals Online (AJOL)

Objective: The aim of the study is to highlight the clinical problem of acute otitis media in children as seen in Uyo with particular reference to difficulties of early detection over a 6 year period (1999-2004). Methodology: A six-year retrospective study (1999-2004) was carried out to evaluate the clinical presentation and early ...

microRNA expression profiling on individual breast cancer patients identifies novel panel of circulating microRNA for early detection

DEFF Research Database (Denmark)

Hamam, Rimi; Ali, Arwa M.; Alsaleh, Khalid A.

2016-01-01

Breast cancer (BC) is the most common cancer type and the second cause of cancer-related death among women. Therefore, better understanding of breast cancer tumor biology and the identification of novel biomarkers is essential for the early diagnosis and for better disease stratification and mana......Breast cancer (BC) is the most common cancer type and the second cause of cancer-related death among women. Therefore, better understanding of breast cancer tumor biology and the identification of novel biomarkers is essential for the early diagnosis and for better disease stratification...... and management choices. Herein we developed a novel approach which relies on the isolation of circulating microRNAs through an enrichment step using speed-vacuum concentration which resulted in 5-fold increase in microRNA abundance. Global miRNA microarray expression profiling performed on individual samples...... of 46 BC and 14 controls. The expression of those microRNAs was overall higher in patients with stage I, II, and III, compared to stage IV, with potential utilization for early detection. The expression of this microRNA panel was slightly higher in the HER2 and TN compared to patients with luminal...

Early menopause predicts future coronary heart disease and stroke: the Multi-Ethnic Study of Atherosclerosis.

Science.gov (United States)

Wellons, Melissa; Ouyang, Pamela; Schreiner, Pamela J; Herrington, David M; Vaidya, Dhananjay

2012-10-01

Cardiovascular disease is the number one killer of women. Identifying women at risk of cardiovascular disease has tremendous public health importance. Early menopause is associated with increased cardiovascular disease events in some predominantly white populations, but not consistently. Our objective was to determine if self-reported early menopause (menopause at an age menopause (either natural menopause or surgical removal of ovaries at an age menopause. In survival curves, women with early menopause had worse coronary heart disease and stroke-free survival (log rank P = 0.008 and P = 0.0158). In models adjusted for age, race/ethnicity, Multi-ethnic Study Atherosclerosis site, and traditional cardiovascular disease risk factors, this risk for coronary heart disease and stroke remained (hazard ratio, 2.08; 95% CI, 1.17-3.70; and hazard ratio, 2.19; 95% CI, 1.11-4.32, respectively). Early menopause is positively associated with coronary heart disease and stroke in a multiethnic cohort, independent of traditional cardiovascular disease risk factors.

A Novel Arc Fault Detector for Early Detection of Electrical Fires.

Science.gov (United States)

Yang, Kai; Zhang, Rencheng; Yang, Jianhong; Liu, Canhua; Chen, Shouhong; Zhang, Fujiang

2016-04-09

Arc faults can produce very high temperatures and can easily ignite combustible materials; thus, they represent one of the most important causes of electrical fires. The application of arc fault detection, as an emerging early fire detection technology, is required by the National Electrical Code to reduce the occurrence of electrical fires. However, the concealment, randomness and diversity of arc faults make them difficult to detect. To improve the accuracy of arc fault detection, a novel arc fault detector (AFD) is developed in this study. First, an experimental arc fault platform is built to study electrical fires. A high-frequency transducer and a current transducer are used to measure typical load signals of arc faults and normal states. After the common features of these signals are studied, high-frequency energy and current variations are extracted as an input eigenvector for use by an arc fault detection algorithm. Then, the detection algorithm based on a weighted least squares support vector machine is designed and successfully applied in a microprocessor. Finally, an AFD is developed. The test results show that the AFD can detect arc faults in a timely manner and interrupt the circuit power supply before electrical fires can occur. The AFD is not influenced by cross talk or transient processes, and the detection accuracy is very high. Hence, the AFD can be installed in low-voltage circuits to monitor circuit states in real-time to facilitate the early detection of electrical fires.

A Novel Arc Fault Detector for Early Detection of Electrical Fires

Science.gov (United States)

Yang, Kai; Zhang, Rencheng; Yang, Jianhong; Liu, Canhua; Chen, Shouhong; Zhang, Fujiang

2016-01-01

Arc faults can produce very high temperatures and can easily ignite combustible materials; thus, they represent one of the most important causes of electrical fires. The application of arc fault detection, as an emerging early fire detection technology, is required by the National Electrical Code to reduce the occurrence of electrical fires. However, the concealment, randomness and diversity of arc faults make them difficult to detect. To improve the accuracy of arc fault detection, a novel arc fault detector (AFD) is developed in this study. First, an experimental arc fault platform is built to study electrical fires. A high-frequency transducer and a current transducer are used to measure typical load signals of arc faults and normal states. After the common features of these signals are studied, high-frequency energy and current variations are extracted as an input eigenvector for use by an arc fault detection algorithm. Then, the detection algorithm based on a weighted least squares support vector machine is designed and successfully applied in a microprocessor. Finally, an AFD is developed. The test results show that the AFD can detect arc faults in a timely manner and interrupt the circuit power supply before electrical fires can occur. The AFD is not influenced by cross talk or transient processes, and the detection accuracy is very high. Hence, the AFD can be installed in low-voltage circuits to monitor circuit states in real-time to facilitate the early detection of electrical fires. PMID:27070618

Early-Dynamic Positron Emission Tomography (PET)/Computed Tomography and PET Angiography for Endoleak Detection After Endovascular Aneurysm Repair.

Science.gov (United States)

Drescher, Robert; Gühne, Falk; Freesmeyer, Martin

2017-06-01

To propose a positron emission tomography (PET)/computed tomography (CT) protocol including early-dynamic and late-phase acquisitions to evaluate graft patency and aneurysm diameter, detect endoleaks, and rule out graft or vessel wall inflammation after endovascular aneurysm repair (EVAR) in one examination without intravenous contrast medium. Early-dynamic PET/CT of the endovascular prosthesis is performed for 180 seconds immediately after intravenous injection of F-18-fluorodeoxyglucose. Data are reconstructed in variable time frames (time periods after tracer injection) to visualize the arterial anatomy and are displayed as PET angiography or fused with CT images. Images are evaluated in view of vascular abnormalities, graft configuration, and tracer accumulation in the aneurysm sac. Whole-body PET/CT is performed 90 to 120 minutes after tracer injection. This protocol for early-dynamic PET/CT and PET angiography has the potential to evaluate vascular diseases, including the diagnosis of complications after endovascular procedures.

Improving early detection initiatives: a qualitative study exploring perspectives of older people and professionals.

Science.gov (United States)

Lette, Manon; Stoop, Annerieke; Lemmens, Lidwien C; Buist, Yvette; Baan, Caroline A; de Bruin, Simone R

2017-06-23

A wide range of initiatives on early detection and intervention have been developed to proactively identify problems related to health and wellbeing in (frail) older people, with the aim of supporting them to live independently for as long as possible. Nevertheless, it remains unclear what the best way is to design such initiatives and how older people's needs and preferences can be best addressed. This study aimed to address this gap in the literature by exploring: 1) older people's perspectives on health and living environment in relation to living independently at home; 2) older people's needs and preferences in relation to initiating and receiving care and support; and 3) professionals' views on what would be necessary to enable the alignment of early detection initiatives with older people's own needs and preferences. In this qualitative study, we conducted semi-structured interviews with 36 older people and 19 professionals in proactive elderly care. Data were analysed using the framework analysis method. From the interviews with older people important themes in relation to health and living environment emerged, such as maintaining independence, appropriate housing, social relationships, a supporting network and a sense of purpose and autonomy. Older people preferred to remain self-sufficient, and they would rather not ask for help for psychological or social problems. However, the interviews also highlighted that they were not always able or willing to anticipate future needs, which can hinder early detection or early intervention. At the same time, professionals indicated that older people tend to over-estimate their self-reliance and therefore advocated for early detection and intervention, including social and psychological issues. Older people have a broad range of needs in different domains of life. Discrepancies exist between older people and professionals with regard to their views on timing and scope of early detection initiatives. This study aimed

Early non-destructive biofouling detection and spatial distribution: Application of oxygen sensing optodes

KAUST Repository

Farhat, Nadia

2015-06-11

Biofouling is a serious problem in reverse osmosis/nanofiltration (RO/NF) applications, reducing membrane performance. Early detection of biofouling plays an essential role in an adequate anti-biofouling strategy. Presently, fouling of membrane filtration systems is mainly determined by measuring changes in pressure drop, which is not exclusively linked to biofouling. Non-destructive imaging of oxygen concentrations (i) is specific for biological activity of biofilms and (ii) may enable earlier detection of biofilm accumulation than pressure drop. The objective of this study was to test whether transparent luminescent planar O2 optodes, in combination with a simple imaging system, can be used for early non-destructive biofouling detection. This biofouling detection is done by mapping the two-dimensional distribution of O2 concentrations and O2 decrease rates inside a membrane fouling simulator (MFS). Results show that at an early stage, biofouling development was detected by the oxygen sensing optodes while no significant increase in pressure drop was yet observed. Additionally, optodes could detect spatial heterogeneities in biofouling distribution at a micro scale. Biofilm development started mainly at the feed spacer crossings. The spatial and quantitative information on biological activity will lead to better understanding of the biofouling processes, contributing to the development of more effective biofouling control strategies.

A Tumor-Targeted Nanodelivery System to Improve Early MRI Detection of Cancer

Directory of Open Access Journals (Sweden)

Kathleen F. Pirollo

2006-01-01

Full Text Available The development of improvements in magnetic resonance imaging (MRI that would enhance sensitivity, leading to earlier detection of cancer and visualization of metastatic disease, is an area of intense exploration. We have devised a tumor-targeting, liposomal nanodelivery platform for use in gene medicine. This systemically administered nanocomplex has been shown to specifically and efficiently deliver both genes and oligonucleotides to primary and metastatic tumor cells, resulting in significant tumor growth inhibition and even tumor regression. Here we examine the effect on MRI of incorporating conventional MRI contrast agent Magnevist® into our anti-transferrin receptor single-chain antibody (TfRscFv liposomal complex. Both in vitro and in an in vivo orthotopic mouse model of pancreatic cancer, we show increased resolution and image intensity with the complexed Magnevist®. Using advanced microscopy techniques (scanning electron microscopy and scanning probe microscopy, we also established that the Magnevist® is in fact encapsulated by the liposome in the complex and that the complex still retains its nanodimensional size. These results demonstrate that this TfRscFv-liposome-Magnevist® nanocomplex has the potential to become a useful tool in early cancer detection.

Eye movement analysis and cognitive processing: detecting indicators of conversion to Alzheimer’s disease

Directory of Open Access Journals (Sweden)

Pereira ML

2014-07-01

Full Text Available Marta LG Freitas Pereira, Marina von Zuben A Camargo, Ivan Aprahamian, Orestes V ForlenzaLaboratory of Neuroscience (LIM-27, Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, SP, BrazilAbstract: A great amount of research has been developed around the early cognitive ­impairments that best predict the onset of Alzheimer’s disease (AD. Given that mild cognitive impairment (MCI is no longer considered to be an intermediate state between normal aging and AD, new paths have been traced to acquire further knowledge about this condition and its subtypes, and to determine which of them have a higher risk of conversion to AD. It is now known that other deficits besides episodic and semantic memory impairments may be present in the early stages of AD, such as visuospatial and executive function deficits. Furthermore, recent investigations have proven that the hippocampus and the medial temporal lobe structures are not only involved in memory functioning, but also in visual processes. These early changes in memory, visual, and executive processes may also be detected with the study of eye movement patterns in pathological conditions like MCI and AD. In the present review, we attempt to explore the existing literature concerning these patterns of oculomotor changes and how these changes are related to the early signs of AD. In particular, we argue that deficits in visual short-term memory, specifically in iconic memory, attention processes, and inhibitory control, may be found through the analysis of eye movement patterns, and we discuss how they might help to predict the progression from MCI to AD. We add that the study of eye movement patterns in these conditions, in combination with neuroimaging techniques and appropriate neuropsychological tasks based on rigorous concepts derived from cognitive psychology, may highlight the early presence of cognitive impairments in the course of the disease

Eye movement analysis and cognitive processing: detecting indicators of conversion to Alzheimer’s disease

Science.gov (United States)

Pereira, Marta LG Freitas; Camargo, Marina von Zuben A; Aprahamian, Ivan; Forlenza, Orestes V

2014-01-01

A great amount of research has been developed around the early cognitive impairments that best predict the onset of Alzheimer’s disease (AD). Given that mild cognitive impairment (MCI) is no longer considered to be an intermediate state between normal aging and AD, new paths have been traced to acquire further knowledge about this condition and its subtypes, and to determine which of them have a higher risk of conversion to AD. It is now known that other deficits besides episodic and semantic memory impairments may be present in the early stages of AD, such as visuospatial and executive function deficits. Furthermore, recent investigations have proven that the hippocampus and the medial temporal lobe structures are not only involved in memory functioning, but also in visual processes. These early changes in memory, visual, and executive processes may also be detected with the study of eye movement patterns in pathological conditions like MCI and AD. In the present review, we attempt to explore the existing literature concerning these patterns of oculomotor changes and how these changes are related to the early signs of AD. In particular, we argue that deficits in visual short-term memory, specifically in iconic memory, attention processes, and inhibitory control, may be found through the analysis of eye movement patterns, and we discuss how they might help to predict the progression from MCI to AD. We add that the study of eye movement patterns in these conditions, in combination with neuroimaging techniques and appropriate neuropsychological tasks based on rigorous concepts derived from cognitive psychology, may highlight the early presence of cognitive impairments in the course of the disease. PMID:25031536