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Sample records for syringomyelia classification diagnosis

  1. MRI diagnosis of syringomyelia

    International Nuclear Information System (INIS)

    Takahashi, Mutsumasa; Sakamoto, Yuji; Kojima, Ryutaro; Matsuno, Yasuji

    1989-01-01

    Eighteen cases of syringomyelia were classified into communicating type (8 cases), traumatic type (5 cases) and tumor type (5 cases). Although there was similarity in the appearance of MRI regardless of the causes, there were some characteristics which were found more prevalently in one type of syringomyelia than the other. Traumatic syringomyelia involved longer segments, frequently entire length of the spinal cord. Chiari I malformation was more often associated with the communicating type, while the cystic appearance of syringomyelia was more frequently associated with the tumor type. Enlargement of the spinal cord was often seen with the tumor type, followed by traumatic type. T2-weighted images showed increased intensity in the area of the spinal cord trauma in all trauma cases, while tumor types also showed increased signal intensity within the tumor on T2-weighted images. Flow void sign of the syrinx was observed frequently in the communicating type. Although there was overlapping of the findings among syringomyelias of different causes, it was often possible to make differentiation among 3 types. When clinical and MR findings were considered together, MRI was one of the most important radiologic examinations in the evaluation of syringomyelia. (author)

  2. Syringomyelia

    DEFF Research Database (Denmark)

    Blegvad, C; Grotenhuis, J A; Juhler, M

    2014-01-01

    .0) and hydromyelia (Q06.4) existing as independent ICD-10 entities, we have shown that the use of classifying terminology for fluid-filled cavities in the spinal cord is indiscriminate and inconsistent. Even though a general agreement on the believed pathogenetic mechanism exists, and the general treatment methods...... are used in accordance with this mechanism, the terminology fails to function as a simple and universal link between theory and treatment. CONCLUSIONS: We propose a new causal concept for an ICD classification with syringomyelia (G95.0) as the only describing terminology, thus abandoning the use...

  3. Syringomyelia

    Science.gov (United States)

    ... of syringomyelia may include: Stiffness in your back, shoulders, arms and legs Pain in your neck, arms and back Bowel and bladder function problems Muscle weakness and spasms in your legs Spinal curvature ( ...

  4. Syringomyelia

    Science.gov (United States)

    ... 800-533-3231 theacpa.org American Syringomyelia & Chiari Alliance Project P.O. Box 1586 Longview, TX 75606- ... Legislative Updates Impact NINDS Contributions to Approved Therapies Strategic Plans & Evaluations Strategic Plans Program Evaluations Workforce Diversity ...

  5. Scoliosis Associated With Syringomyelia

    Directory of Open Access Journals (Sweden)

    Gh Fathi

    2007-01-01

    Full Text Available Introduction: The differential diagnosis of idiopathic and syringomyelia associated scoliosis is important because corrective surgery for scoliosis associated with syringomyelia prior to management of syringomyelia can be dangerous. There are important imaging indicators for diagnosis of syringomyelia associated with scoliosis. A few of these indicators have been assessed in our study. Methods: A retrospective descriptive study including 38 patients with both scoliosis and syringomyelia was performed at the Shafa Yahyaeian center. Standard scoliosis series radiographs and MRI of all patients were studied. The type of scoliosis, location and magnitude of deformity, kyphosis or lordosis in the sagittal plane, location and size of syrinx were assessed. Results: Thoracic kyphosis was present in 94.7% of patients. 37% of patients had scoliosis with convexity to left. Arnold –chiari malformation was present in 36% and cord tethering in 21% of patients. The locations of syrinx were as follows: 47.4%cervical, 44.6 thoracic, 2.7% lumbar and 5.3% were holocord. Conclusion: Kyphosis, abscence of lordosis in sagittal plane, progressive scoliosis and scoliosis with convexity to left are atypical findings and could be indicators of the presence of syringomyelia. If these indicators are present, a diagnosis of idiopathic scoliosis should be made with caution.

  6. Classification, disease, and diagnosis.

    Science.gov (United States)

    Jutel, Annemarie

    2011-01-01

    Classification shapes medicine and guides its practice. Understanding classification must be part of the quest to better understand the social context and implications of diagnosis. Classifications are part of the human work that provides a foundation for the recognition and study of illness: deciding how the vast expanse of nature can be partitioned into meaningful chunks, stabilizing and structuring what is otherwise disordered. This article explores the aims of classification, their embodiment in medical diagnosis, and the historical traditions of medical classification. It provides a brief overview of the aims and principles of classification and their relevance to contemporary medicine. It also demonstrates how classifications operate as social framing devices that enable and disable communication, assert and refute authority, and are important items for sociological study.

  7. Fetal syringomyelia.

    Science.gov (United States)

    Guo, Anne; Chitayat, David; Blaser, Susan; Keating, Sarah; Shannon, Patrick

    2014-08-06

    We explored the prevalence of syringomyelia in a series of 113 cases of fetal dysraphism and hindbrain crowding, of gestational age ranging from 17.5 to 34 weeks with the vast majority less than 26 weeks gestational age. We found syringomyelia in 13 cases of Chiari II malformations, 5 cases of Omphalocele/Exostrophy/Imperforate anus/Spinal abnormality (OEIS), 2 cases of Meckel Gruber syndrome and in a single pair of pyopagus conjoined twins. Secondary injury was not uncommon, with vernicomyelia in Chiari malformations, infarct like histology, or old hemorrhage in 8 cases of syringomyelia. Vernicomyelia did not occur in the absence of syrinx formation. The syringes extended from the sites of dysraphism, in ascending or descending patterns. The syringes were usually in a major proportion anatomically distinct from a dilated or denuded central canal and tended to be dorsal and paramedian or median. We suggest that fetal syringomyelia in Chiari II malformation and other dysraphic states is often established prior to midgestation, has contributions from the primary malformation as well as from secondary in utero injury and is anatomically and pathophysiologically distinct from post natal syringomyelia secondary to hindbrain crowding.

  8. Diagnosis and surgical treatment of terminal syringomyelia within spinal cord combined with tethered cord syndrome

    Directory of Open Access Journals (Sweden)

    Jing-cheng XIE

    2016-04-01

    Full Text Available Objective To summarize the clinical manifestations, imaging characteristics and experience of surgical treatment of spinal cord terminal syringomyelia with tethered cord syndrome (TCS.  Methods and Results Clinical data of 10 patients with spinal cord syringomyelia combined with TCS surgically treated under microscope from January 1999 to March 2014 in our hospital were retrospectively analyzed. There were 3 males and 7 females with average age of 15.06 years old (ranged from 2 to 35 years old. The course of disease ranged from 3 months to 20 years (average 42.17 months. Among those patients, one patient presented hydromyelia, 8 patients suffered from meningeal cyst within the sacral canal, and one patient were concurrent with sacral dermal sinus. The weakness of lower extremities, especially distal limbs, was the main clinical manifestation. Five patients were accompanied with bowel and bladder dysfunction and 5 patients with sensory disturbance below the level of syringomyelia, especially hypesthesia. Preoperative MRI showed conus medullaris disappeared at the end of spinal cord, and there was fluid signal in the lower spinal cord with hypo-intensity signal in T1WI and hyper-intensity signal in T2WI without enhancement. All patients underwent surgical procedures. Under microscope, filum terminale was cut off, drainage was performed, meningeal cyst within the sacral canal was removed, and tethered cord was released. The success rate of operations was 100%. The duration of surgery ranged from 1.52 to 3.07 h (average 2.15 h, with average intraoperative blood loss 220 ml (ranged from 100 to 410 ml. The tethering filum had been totally resected and histological examination showed typical filum tissue in all cases. No operative complication was found. Visual Analogue Scale (VAS score was decreased, and the lower limbs weakness as well as bowel and bladder dysfunction was gradually relieved after operation. The period of follow-up was ranged from 6

  9. [Headache: classification and diagnosis].

    Science.gov (United States)

    Carbaat, P A T; Couturier, E G M

    2016-11-01

    There are many types of headache and, moreover, many people have different types of headache at the same time. Adequate treatment is possible only on the basis of the correct diagnosis. Technically and in terms of content the current diagnostics process for headache is based on the 'International Classification of Headache Disorders' (ICHD-3-beta) that was produced under the auspices of the International Headache Society. This classification is based on a distinction between primary and secondary headaches. The most common primary headache types are the tension type headache, migraine and the cluster headache. Application of uniform diagnostic concepts is essential to come to the most appropriate treatment of the various types of headache.

  10. Anesthetic and Obstetric Management of Syringomyelia During Labor and Delivery: A Case Series and Systematic Review.

    Science.gov (United States)

    Garvey, Gráinne Patricia; Wasade, Vibhangini S; Murphy, Kellie E; Balki, Mrinalini

    2017-09-01

    Syringomyelia is a rare, slowly progressive neurological condition characterized by the presence of a syrinx within the spinal cord. Consensus regarding the safest mode of delivery and anesthetic management in patients with syringomyelia remains controversial and presents management dilemmas. This study reviews the cases of syringomyelia at our institution and provides a systematic review of the literature to guide decisions regarding labor and delivery management. A retrospective review of cases at our hospital from 2002 to 2014 and a systematic review of the literature from 1946 to 2014 were undertaken. Hospital records and electronic databases were interrogated using International Classification of Diseases, 10th Revision codes and the keywords "syringomyelia," "syringobulbia," and "pregnancy." Data regarding demographics, diagnosis, radiology reports, neurological symptoms, mode of delivery, anesthetic management, and maternal-fetal outcomes were collected. We collected and analyzed data on a total of 43 pregnancies in 39 patients. The most common location for syrinx was in the cervicothoracic region (41.9%). The large majority of patients (n = 34; 87%) demonstrated signs and symptoms associated with syringomyelia before delivery. Syringomyelia associated with Arnold Chiari malformation was documented in 49% (n = 21) cases. General anesthesia was the most commonly used (n = 21/30, 70%) anesthetic technique for cesarean delivery. The majority (n = 9/13, 69%) of patients had an epidural sited for labor analgesia. There were no maternal or neonatal complications associated with neuraxial anesthesia; however, 3 cases (14%) raised concerns regarding general anesthesia including difficult intubation, transient worsening of neurological symptoms postpartum, and prolonged muscle paralysis after atracurium. Despite concerns regarding aggravation of the syrinx with vaginal delivery, this mode of delivery has never caused any documented long-term worsening of neurological

  11. Post-traumatic syringomyelia

    International Nuclear Information System (INIS)

    Freund, M.; Sartor, K.; Aschoff, A.; Spahn, B.

    1999-01-01

    The improvement of preclinical emergency medicine, better surgical and conservative therapies, and the development of intensive care units and specialized centers have improved the survival rate for patients with serious spinal cord injuries. Therefore, more sequelae of chronic spinal cord injuries such as post-traumatic spinal cord cavitations also occur. The first such case was described by Bastian in 1867. Generally, these cavitations were diagnosed from 2 months up to 32 years after the trauma. The overall prevalence of post-traumatic syringomyelia (PTS) is not known; however, with the increasing use of magnetic resonance imaging (MRI), its diagnosis has increased, ranging from 2.3% of paraplegic and tetraplegic patients in 1976 and 3.2% in 1985, to nearly 50% in a selected group of patients in 1991 and 1993. In 1995, a 4.45% incidence was reported. In our clinic we are currently treating 440 cases of syringomyelia, 140 of which are PTS. Several observations suggest more than one potential mechanism for the evolution of a post-traumatic cyst or PTS. Various factors, such as hemorrhage or, in particular, ischemia within the spinal cord, blockage of the cerebrosinal fluid (CSF) pathways around the cord or localized meningeal fibrosis either alone or in combination with other factors, may be involved. Clinically, sensory disturbances, loss of motor function, pain, and modification of the deep tendon reflexes are observed in most patients. On MRI, PTS is seen as a longitudinal, cystic cavity within the spinal cord, giving a hypointense signal on T 1 -weighted images and a hyperintense signal on T 2 -weighted images. For treatment planning it is mandatory to identify the lower and upper end of the PTS on the MRI. (orig.) [de

  12. Classification and Diagnosis of Fibromyalgia

    OpenAIRE

    1996-01-01

    Fibromyalgia was recently classified when a sleep disorder was described with diffuse musculoskeletal pain. The standard modern definition was reached on the basis of thorough analysis of pain patterns and characteristic tender points. The principles of classification are reviewed with respect to this diagnosis.

  13. Classification and Diagnosis of Fibromyalgia

    Directory of Open Access Journals (Sweden)

    Harold Merskey

    1996-01-01

    Full Text Available Fibromyalgia was recently classified when a sleep disorder was described with diffuse musculoskeletal pain. The standard modern definition was reached on the basis of thorough analysis of pain patterns and characteristic tender points. The principles of classification are reviewed with respect to this diagnosis.

  14. Acute syringomyelia: case report.

    Science.gov (United States)

    Milhorat, Thomas H; Bolognese, Paolo A; Black, Karen S; Woldenberg, Rona F

    2003-11-01

    Syringomyelia is generally regarded as a chronic, slowly progressive disorder. We describe a case of acute dilation of the central canal of the spinal cord that presented with rapidly progressive segmental signs. A 29-year-old female patient who had previously undergone surgical treatment for a Chiari I malformation, syringomyelia, and hydrocephalus presented with an 8-day history of headaches, progressive paraparesis, and urinary retention. Magnetic resonance imaging scans demonstrated panventricular hydrocephalus in association with a holocord syrinx that extended to the obex. Magnetic resonance imaging scans that had been coincidentally obtained just 3 days before the onset of symptoms had revealed no evidence of hydrocephalus or syringomyelia. The patient underwent emergency revision of a failed ventriculoperitoneal shunt. Postoperatively, there was prompt resolution of the syringomyelia, hydrocephalus, and associated neurological deficits. Among patients with communicating syringomyelia, the central canal of the spinal cord participates as a "fifth ventricle" and can undergo rapid dilation in association with acute hydrocephalus. Appropriate treatment in such cases involves placement of a ventriculoperitoneal shunt.

  15. [Diverticular disease - diagnosis and classification].

    Science.gov (United States)

    Lembcke, B

    2014-04-01

    A reliable diagnosis is fundamental for operative, interventional and conservative treatment of the different facets of diverticular disease. Not only differential diagnoses but also overlap or coincidence with other entities sharing similar symptoms must be considered. Furthermore, an adequate surgical strategy and correct stratification of complications is mandatory. Subsequently, in the light of currently validated diagnostic techniques, the consensus conference of the German Societies of Gastroenterology (DGVS) and Visceral Surgery (DGAV) has released a new classification of diverticulitis displaying the different facets of diverticular disease. This classification also comprises symptomatic uncomplicated diverticular disease (SUDD), largely resembling irritable bowel syndrome, as well as diverticular bleeding. While detailed history, physical examination and laboratory testing are of great importance for exploring a patient with diverticular disease, they are not sufficient to diagnose (or stratify) diverticulitis without cross-sectional imaging using ultrasonography (US) or computed tomography (CT). The diagnostic value of qualified US is equipotent to qualified CT, complies with relevant legislation for radiation exposure protection and is frequently effective for diagnosis. Therefore, US is considered to be the first choice for imaging in diverticular disease. In contrast, CT has definite indications in unclear, discrepant situations or insufficient US performance. Strengths and weaknesses of both methods are discussed. Endoscopy is not required for the diagnosis of diverticulitis and should not be performed in an acute attack. Colonoscopy, however, is warranted after healing of diverticulitis, prior to elective surgery and in cases of an atypical course. Prior exclusion of perforation is considered mandatory. An unequivocal indication for colonoscopy is diverticular bleeding and the rapid performance (within 12-24 h) allows better identification of sites

  16. Pan, Syrinx and syringomyelia.

    Science.gov (United States)

    Palacios-Sánchez, Leonardo; Botero-Meneses, Juan Sebastián; Vélez-Flórez, María Camila

    2017-12-01

    Many myths and legends have had a deep influence on modern language, and on modern medical vernacular. The terms "syrinx" and "panic"are two of the most characteristic examples and their use in neurology and other specialties is well known. This article reviews the history of these words in Greek mythology and their use in modern medicine. It is known by very few that clinical symptoms or conditions, such as syringomyelia and panic attacks, have a mythological origin in their definition and naming.

  17. Syringomyelia presenting with unilateral optic neuropathy: a case report

    Directory of Open Access Journals (Sweden)

    Ngoo QZ

    2017-03-01

    Full Text Available Qi Zhe Ngoo, Evelyn Li Min Tai, Wan Hazabbah Wan Hitam Department of Ophthalmology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia Purpose: In this case report, we present two cases of syringomyelia with optic neuropathy.Findings: In Case 1, a 36-year-old Malay lady presented to our clinic with acute onset of blurring of vision in her left eye that she experienced since past 1 month. She was diagnosed with syringomyelia 12 years ago and was on conservative management. Her visual acuity was 6/6 in the right eye and counting fingers at 1 m in the left. There was a positive relative afferent pupillary defect in her left eye. Optic nerve functions of her left eye were reduced. Visual field showed a left inferior field defect. Her extraocular muscle movements were full. Magnetic resonance imaging of the brain and spine showed syringomyelia at the level of C2–C6 and T2–T9. Both of her optic nerves were normal. Her condition improved with intravenous and oral corticosteroids. In Case 2, a 44-year-old Malay lady presented to our clinic with a progressive central scotoma in her right eye that she experienced since past 1 month. She had previous history of recurrent episodes of weakness in both of her lower limbs from past 8 months. Visual acuity in her right and left eye was 6/9 and 6/6, respectively. The relative afferent pupillary defect in her right eye was positive. Optic nerve functions of her right eye were affected. Visual field showed a central scotoma in her right eye. Her extraocular muscle movements were full. Fundoscopy of her right eye showed a pale optic disc. Her left eye fundus was normal. Magnetic resonance imaging of the brain and spine showed syringomyelia at T3–T6. Both of her optic nerves were normal. A diagnosis of syringomyelia with right optic atrophy was performed. Her condition improved with intravenous and oral corticosteroids.Conclusion: Optic neuropathy is a rare neuro

  18. [Definition, classification and diagnosis of fibromyalgia syndrome].

    Science.gov (United States)

    Eich, W; Häuser, W; Friedel, E; Klement, A; Herrmann, M; Petzke, F; Offenbächer, M; Schiltenwolf, M; Sommer, C; Tölle, T; Henningsen, P

    2008-12-01

    Interdisciplinary guidelines for the definition, classification and diagnosis of chronic widespread pain (CWP) and fibromyalgia syndrome (FMS) were developed by collaboration of 10 German medical and psychological associations and 2 patient self-help organizations. A systematic literature search was performed in the Cochrane Library (1993-12/2006). Medline (1980-2006), and Scopus (1980-12/2006). Levels of evidence were assigned according to the classification system of the Oxford Center for Evidence-Based Medicine. Grading of the strength of recommendation was done according to the German program for disease management guidelines. Standardized procedures to reach a consensus on recommendations were used. CWP is defined by the criteria of the American College of Rheumatology (ACR-strong consensus). FMS can be diagnosed for clinical purposes by symptom-based criteria (without tender point examination) as well as by the ACR criteria (strong consensus).

  19. Parasomnias: Diagnosis, Classification and Clinical Features

    Directory of Open Access Journals (Sweden)

    Fatma Ozlem Orhan

    2009-10-01

    Full Text Available Parasomnias, as described in the recent second edition of the International Classification of Sleep Disorders, are “undesirable physical events or experiences” occurring during sleep transition, during arousal from sleep, or within the sleep period. These events encompass abnormal sleep related movements, behaviors, emotions, perceptions, dreaming, and autonomic nervous system functioning. Parasomnias are classified as: 1 disorders of arousal (from non-rapid eye movement, or NREM, sleep; 2 parasomnias usually associated with REM (rapid eye movement sleep; and 3 other parasomnias. This sleep disorders in childhood are common, and often more frequent than in adults. Clinicians should be aware that many pediatric parasomnias have benign and self-limited nature. Most of the parasomnias may not persist into late childhood or adolescence. Parasomnias in adults often differ in type from childhood parasomnias and may portend significant psychiatric disturbances or neurodegenerative disorders. A reliable diagnosis can often be made from a detailed history from the patient and, if possible, the parents or bed partner. Detailed overnight investigations of parasomnias are usually not required. The non-REM parasomnias are more common in community although REM parasomnias are more likely to be seen in general neurological practice. Sleep related eating disorder, sleep related dissociative disorders and sleep related sexual behavior and sleep related violence are novel and rarely reported sleep disorders. REM sleep behavior disorder is common and should be sought in all neurodegenerative diseases. They are included among clinical disorders due to the resulting injuries, and adverse health and psychosocial effects, which may affect the bed partner as well as the patient. Finally, parasomnias are common disturbances of sleep that may significantly affect the patient’s quality of life and that of the bed partner. Therefore, appropriate diagnostic and

  20. Problems with 'Internet addiction' diagnosis and classification.

    Science.gov (United States)

    Hinić, Darko

    2011-06-01

    Owing to the fact that the Internet is spreading rapidly and influencing all aspects of everyday life, a task is assigned to the academic and clinical circles to establish a diagnosis and provide treatment for disorders brought about by its dysfunctional use. This paper presents a review of the most frequent problems and difficulties in dealing with individuals complaining of the symptoms of Internet use disorder, as well as some suggestions for overcoming and alleviating these problems. For the diagnostic criteria problem, a solution can be provided in the form of behavioural addictions category in order to solve the problem of the classification of not only this disorder but also other forms, such as pathological gambling, compulsive shopping etc. However, since there are obvious similarities with the compulsive behaviour, we suggest the term Internet Use Disorder, which appears most acceptable in terms of avoiding beforehand the indecisiveness of this disorder nature. Certainly, in the practical work with each client, by means of a precise and complex clinical interview, it would be further determined which subtype is under question and whether the mechanism of its realisation is more that of a compulsive or addictive nature. We also suggest an approach of defining a set of minimal key symptoms and manifestations of this problem, rather than singling out the personality profiles of individuals who constitute the population at risk. By prevention, the attentiveness of the public would be in that way directed towards the critical aspects of behaviour, and not towards a vague picture which causes panic and doubt, rather than reasonable ways of the problem solution.

  1. [Oropharyngeal dysphagia associated with Chiari I malformation and syringomyelia J].

    Science.gov (United States)

    Cortés-Medina, Julio César; Cárdenas-Lara, Armando; Guerrero-Rascón, Carlos Alberto; Rodríguez-Bautista, Heber

    2014-01-01

    Dysphagia associated with neurological disease is an important clinical manifestation in the diagnosis of injury that justifies the compression of the brainstem and lower cranial nerves. To emphasize the study of dysphagia in a patient with Chiari I malformation associated with syringomyelia in the absence of primary gastroenterological symptoms. We describe the case of a 62 year-old woman with oropharyngeal dysphagia of six years of evolution, cervicobrachialgia, ptosis and facial diplexia. Magnetic resonance imaging is an essential element for establishing the etiologic diagnosis of neurogenic dysphagia.

  2. Failure diagnosis using deep belief learning based health state classification

    International Nuclear Information System (INIS)

    Tamilselvan, Prasanna; Wang, Pingfeng

    2013-01-01

    Effective health diagnosis provides multifarious benefits such as improved safety, improved reliability and reduced costs for operation and maintenance of complex engineered systems. This paper presents a novel multi-sensor health diagnosis method using deep belief network (DBN). DBN has recently become a popular approach in machine learning for its promised advantages such as fast inference and the ability to encode richer and higher order network structures. The DBN employs a hierarchical structure with multiple stacked restricted Boltzmann machines and works through a layer by layer successive learning process. The proposed multi-sensor health diagnosis methodology using DBN based state classification can be structured in three consecutive stages: first, defining health states and preprocessing sensory data for DBN training and testing; second, developing DBN based classification models for diagnosis of predefined health states; third, validating DBN classification models with testing sensory dataset. Health diagnosis using DBN based health state classification technique is compared with four existing diagnosis techniques. Benchmark classification problems and two engineering health diagnosis applications: aircraft engine health diagnosis and electric power transformer health diagnosis are employed to demonstrate the efficacy of the proposed approach

  3. PSORIATIC ARTHRITIS: CLASSIFICATION, CLINICAL PRESENTATION, DIAGNOSIS, TREATMENT

    Directory of Open Access Journals (Sweden)

    T. V. Korotaeva

    2014-01-01

    Full Text Available The lecture gives basic information about psoriatic arthritis (PsA, a chronic inflammatory disease of the joints, spine, and enthesises from a group of spondyloarthritis. It describes the epidemiology of the disease and considers current ideas on its pathogenesis and factors influencing the development of PsA in psoriatic patients. The classification and clinical forms of PsA are presented. The major clinical manifestations of the disease are indicated to include peripheral arthritis, enthesitis, dactylitis, and spondylitis. The diagnosis of the disease is noted to be established on the basis of its detected typical clinical and radiological signs, by applying the CASPAR criteria. A dermatologist, rheumatologist, and general practitioner screen PsA, by actively detecting complaints, characteristic clinical and radiological signs of damage to the joints, and/or spine, and/or enthesises and by using screening questionnaires. There are data that patients with PsA are observed to be at higher risk for a number of diseases type 2 diabetes mellitus hypertension, coronary heart disease, obesity, metabolic syndrome, inflammatory bowel diseases, etc. The aim of current pharmacotherapy for PsA is to achieve remission or minimal activity of clinical manifestations of the disease, to delay or prevent its X-ray progression, to increase survival, to improve quality of life in patients, and to reduce the risk of comorbidities. The paper considers groups of medicines used to treat the disease, among other issues, information about biological agents (BA registered in the Russian Federation for the treatment of PsA. Most patients are mentioned to show a good response to this therapy option just 3–6 months after treatment initiation; however, some of them develop primary inefficiency. In this case, switching one BA to another is recommended. Some patients using a BA develop secondary treatment inefficiency, which is firstly due to the appearance of

  4. Exercise Concepts for Individuals with Syringomyelia

    Science.gov (United States)

    ... Center Research Great Expectations Post navigation ← Previous Next → Exercise Concepts for Individuals with Syringomyelia Posted on November ... related duties? 3. Do you have questions about exercise? Do you exercise regularly? Are you involved in ...

  5. Application of pattern classification in the diagnosis of Alzheimer's disease

    Directory of Open Access Journals (Sweden)

    Min-yue CHI

    2015-07-01

    Full Text Available Alzheimer's disease (AD is a common neurodegenerative disease in the elderly. Early diagnosis and prediction plays an important role in early intervention and delaying disease progression of AD. This paper focused on the principles and process of pattern classification method, and its application in the clinical study and auxiliary diagnosis of AD. The biomarkers, neuroimaging and cognitive ability scales are important features for pattern classification. Various classification algorithms including Bayesian networks, decision trees, support vector machines (SVM and multilayer perception have been adopted to distinguish AD, mild cognitive impairment (MCI and normal aging subjects. Besides, they can effectively trace and analyze MCI patients.

  6. Diagnosis and classification of autoimmune hemolytic anemia.

    Science.gov (United States)

    Bass, Garrett F; Tuscano, Emily T; Tuscano, Joseph M

    2014-01-01

    Uncompensated autoantibody-mediated red blood cell (RBC) consumption is the hallmark of autoimmune hemolytic anemia (AIHA). Classification of AIHA is pathophysiologically based and divides AIHA into warm, mixed or cold-reactive subtypes. This thermal-based classification is based on the optimal autoantibody-RBC reactivity temperatures. AIHA is further subcategorized into idiopathic and secondary with the later being associated with a number of underlying infectious, neoplastic and autoimmune disorders. In most cases AIHA is confirmed by a positive direct antiglobulin test (DAT). The standard therapeutic approaches to treatment of AIHA include corticosteroids, splenectomy, immunosuppressive agents and monoclonal antibodies. Published by Elsevier B.V.

  7. Diagnosis of periodontal diseases using different classification ...

    African Journals Online (AJOL)

    A total of six periodontal conditions was the outputs of the classification unit. The accuracy of the suggested methods was compared according to their resolution and working time. Results: DT and SVM were best to classify the periodontal diseases with a high accuracy according to the clinical research based on 150 ...

  8. Syringomyelia coexisting with guillain-barre syndrome.

    Science.gov (United States)

    Kim, Hee-Sang; Yun, Dong Hwan; Chon, Jinmann; Lee, Jong Eon; Park, Min Ho; Han, Yoo Jin

    2013-10-01

    Guillain-Barre syndrome (GBS) and syringomyelia are diseases of different entities. GBS is an acute post-infectious autoimmune disease which is mediated by autoantibodies against the myelin of peripheral nerves. Syringomyelia is a chronic disease characterized by a cavity extending longitudinally inside the spinal cord. A 67-year-old man is being hospitalized due to severe numbness and ascending weakness in all limbs. On neurological examination, the motor power of all limbs are decreased and show absence of deep tendon reflexes (DTRs). The patient is being diagnosed with GBS on the basis of the acute clinical course, nerve conduction studies of segmental demyelinating polyneuropathy, and a finding of albuminocytologic dissociation in the cerebrospinal fluid. The patient is presented with a new set of symptoms thereafter, which composes of sensory changes in the upper extremities, the urinary dysfunction including frequency and residual urine, spastic bilateral lower extremities, and increased reflexes of the knee and the biceps at follow-up examinations. The spinal magnetic resonance imaging in the sagittal section revealed a syrinx cavity between the fifth cervical and the first thoracic vertebral segment in the cord. The somatosensory evoked potential show sensory pathway defects between both the brachial plexus and the brain stem. Thus, this patient is being diagnosed with both GBS and syringomyelia. We report a case of symptomatic syringomyelia coexisting with GBS. Since the GBS is presented with a progressive muscle weakness and reduced DTRs, the muscle weakness and stiffness in the extremities suggests a concurrent syringomyelia might be easily overlooked.

  9. Classification and diagnosis of dry eye.

    Science.gov (United States)

    Kaercher, Thomas; Bron, Anthony J

    2008-01-01

    Dry eye, or keratoconjunctivitis sicca (KCS), is divided into two subgroups, tear-deficient and evaporative. Each form calls for a different therapeutic approach and it is therefore essential to apply a combination of diagnostic tests in order to establish the exact diagnosis. The diagnosis of KCS is based in part on the patient's history and symptoms and in part on the application of specific tests. Several non-invasive tests exist (e.g. slit-lamp examination, meniscometry, interferometry). Mildly invasive tests are the fluorescein tests, staining with lissamine green, meibometry and meibography. Markedly invasive tests include the Schirmer test and staining with rose bengal. Additional histological procedures are the ocular ferning test and impression cytology. A combination of diagnostic tests leads to one of the two forms of KCS. Its severity is calculated according to grading systems, which exist for several tests. The longitudinal observation of the dry eye patient is provided on the basis of this same grading system, although limited reproducibility is reported for some tests. The diagnostic steps for dry eye patients can be efficiently arranged. In most of the cases, non-invasive or mildly invasive tests provide an accurate diagnosis.

  10. Diagnosis and classification of pernicious anemia.

    Science.gov (United States)

    Bizzaro, Nicola; Antico, Antonio

    2014-01-01

    Pernicious anemia (PA) is a complex disorder consisting of hematological, gastric and immunological alterations. Diagnosis of PA relies on histologically proven atrophic body gastritis, peripheral blood examination showing megaloblastic anemia with hypersegmented neutrophils, cobalamin deficiency and antibodies to intrinsic factor and to gastric parietal cells. Anti-parietal cell antibodies are found in 90% of patients with PA, but have low specificity and are seen in atrophic gastritis without megaloblastic anemia as well as in various autoimmune disorders. Anti-intrinsic factor antibodies are less sensitive, being found in only 60% of patients with PA, but are considered highly specific for PA. The incidence of PA increases with age and is rare in persons younger than 30 years of age. The highest prevalence is seen in Northern Europeans, especially those in the United Kingdom and Scandinavia, although PA has been reported in virtually every ethnic group. Because of the complexity of the diagnosis, PA prevalence is probably underestimated and no reliable data are available on the risk of gastric cancer as the end-stage evolution of atrophic gastritis in these patients. Copyright © 2014 Elsevier B.V. All rights reserved.

  11. Fibromyalgia syndrome: classification, diagnosis, and treatment.

    Science.gov (United States)

    Häuser, Winfried; Eich, Wolfgang; Herrmann, Markus; Nutzinger, Detlev O; Schiltenwolf, Marcus; Henningsen, Peter

    2009-06-01

    This S3 guideline takes positions on currently contentious issues in the classification and treatment of fibromyalgia syndrome (FMS). A panel of experts from 10 specialist societies and patients belonging to 2 patient self-help organizations reviewed a total of approximately 8000 publications. Recommendations were developed according to the suggested procedure for S3 guidelines and were then reviewed and approved by the boards of the participating specialist societies. The steering committee ensured that the literature review and the recommendations were kept up to date. Because this disorder is defined by its symptoms and signs, rather than by any consistently identifiable bodily lesion, the term "fibromyalgia syndrome" is a more appropriate designation for it than "fibromyalgia." FMS is defined by the criteria of the American College of Rheumatology and is classified as a functional somatic syndrome. FMS is diagnosed from the typical constellation of symptoms and by the exclusion of inflammatory and metabolic diseases that could cause the same symptoms. A stepwise treatment approach in which the patient and the physician decide jointly on the treatment options is recommended. The most strongly recommended forms of treatment are aerobic exercise, amitriptyline, cognitive behavioral therapy, and spa therapy. The guideline recommendations are intended to promote more effective treatment of this disorder.

  12. RENAL ARTERIAL HYPERTENSION IN CHILDREN AND ADOLESCENTS: CAUSES, CLASSIFICATION, DIAGNOSIS

    Directory of Open Access Journals (Sweden)

    N. D. Savenkova

    2017-01-01

    Full Text Available Classification of blood pressure in children and adolescents, features of renovascular hypertension and renal parenchymal hypertension in children and adolescents. Mid-aortic syndrome is characterized by the narroving of the abdominal aorta and bilateral renal artery stenosis. In the article are discussed diagnosis renal arterial hypertension and the defeat of target-organs in children and adolescents. 

  13. Progress in the Diagnosis and Classification of Pituitary Adenomas

    Science.gov (United States)

    Syro, Luis V.; Rotondo, Fabio; Ramirez, Alex; Di Ieva, Antonio; Sav, Murat Aydin; Restrepo, Lina M.; Serna, Carlos A.; Kovacs, Kalman

    2015-01-01

    Pituitary adenomas are common neoplasms. Their classification is based upon size, invasion of adjacent structures, sporadic or familial cases, biochemical activity, clinical manifestations, morphological characteristics, response to treatment and recurrence. Although they are considered benign tumors, some of them are difficult to treat due to their tendency to recur despite standardized treatment. Functional tumors present other challenges for normalizing their biochemical activity. Novel approaches for early diagnosis, as well as different perspectives on classification, may help to identify subgroups of patients with similar characteristics, creating opportunities to match each patient with the best personalized treatment option. In this paper, we present the progress in the diagnosis and classification of different subgroups of patients with pituitary tumors that may be managed with specific considerations according to their tumor subtype. PMID:26124750

  14. Magnetic resonance imaging of post-traumatic syringomyelia and its surgical treatment

    International Nuclear Information System (INIS)

    Isu, Toyohiko; Iwasaki, Yoshinobu; Nunomura, Mitsuru; Akino, Minoru; Koyanagi, Izumi; Abe, Hiroshi; Saito, Hisatoshi.

    1991-01-01

    The purpose of this study was to review magnetic resonance imaging (MRI) scans of post-traumatic syringomyelia and to assess the outcome of surgical treatment. The subjects were 16 patients (13 men and 3 women) whose ages ranged from 22 to 69 years, with a mean of 42 years. Nine patients had delayed neurologic symptoms 2 years and 2 months through 32 years after spinal injuries. The site of initial spinal cord injury was the lower cervical region in 4 patients, the thoracic region in 8, and the upper lumbar region in 4. In all patients, post-traumatic syringomyelia was easy to diagnose on MRI. MRI showed the syrinx extending superiorly and/or inferiorly from the area of old trauma, sometimes extending to the medulla oblongata. In the cervical cord and the upper thoracic cord, the syrinx was unilaterally or bilaterally situated in the postero-lateral portion. Below the middle thoracic cord, the syrinx was centrally located. Surgery was performed in 6 patients. At an average follow up of 2 years and 9 months, both pain and numbness were relieved in all patients (100%) and neurologic symptoms improved in 5 patients (83%). Post-traumatic syringomyelia should be considered in all patients having delayed onset or aggravation of neurologic symptoms after spinal injury. MRI appears promising for the early diagnosis of post-traumatic syringomyelia that can be treated favorably by surgical procedures. (N.K.)

  15. Post-traumatic syringomyelia; Die posttraumatische Syringomyelie

    Energy Technology Data Exchange (ETDEWEB)

    Freund, M.; Sartor, K. [Universitaetsklinikum Heidelberg (Germany). Abt. Neuroradiologie; Aschoff, A. [Universitaetsklinikum Heidelberg (Germany). Neurochirurgische Klinik; Spahn, B. [Universitaetsklinikum Heidelberg (Germany). Abt. Orthopaedie 2

    1999-12-01

    The improvement of preclinical emergency medicine, better surgical and conservative therapies, and the development of intensive care units and specialized centers have improved the survival rate for patients with serious spinal cord injuries. Therefore, more sequelae of chronic spinal cord injuries such as post-traumatic spinal cord cavitations also occur. The first such case was described by Bastian in 1867. Generally, these cavitations were diagnosed from 2 months up to 32 years after the trauma. The overall prevalence of post-traumatic syringomyelia (PTS) is not known; however, with the increasing use of magnetic resonance imaging (MRI), its diagnosis has increased, ranging from 2.3% of paraplegic and tetraplegic patients in 1976 and 3.2% in 1985, to nearly 50% in a selected group of patients in 1991 and 1993. In 1995, a 4.45% incidence was reported. In our clinic we are currently treating 440 cases of syringomyelia, 140 of which are PTS. Several observations suggest more than one potential mechanism for the evolution of a post-traumatic cyst or PTS. Various factors, such as hemorrhage or, in particular, ischemia within the spinal cord, blockage of the cerebrosinal fluid (CSF) pathways around the cord or localized meningeal fibrosis either alone or in combination with other factors, may be involved. Clinically, sensory disturbances, loss of motor function, pain, and modification of the deep tendon reflexes are observed in most patients. On MRI, PTS is seen as a longitudinal, cystic cavity within the spinal cord, giving a hypointense signal on T{sub 1}-weighted images and a hyperintense signal on T{sub 2}-weighted images. For treatment planning it is mandatory to identify the lower and upper end of the PTS on the MRI. (orig.) [German] Aufgrund der verbesserten medizinischen Versorgung schwer Rueckenmarkverletzter hat die Zahl der (Langzeit-) Ueberlebenden erheblich zugenommen. Allerdings koennen Spaetkomplikationen auftreten, die zu einer deutlichen Zunahme der

  16. Clinical findings in syringomyelia in contrast to the lesions seen in NMR imaging

    International Nuclear Information System (INIS)

    Besser, R.

    1987-01-01

    Syringomyelia is a congenital disease of the spinal cord that can progress throughout the patient's lifetime. The primary symptoms of this disorder are described. The authors discuss how the diagnosis of syringomyelia is difficult because the illness progresses very slowly and can remain stable for decades. They describe their utilization of a superior method for the diagnosis of syringomyelic cavities in the spinal cord: NMR-imaging. It is not invasive and the entire brain stem and cervical cord can be shown on one picture. The caudal spinal cord can also be examines. Other diseases, such as, meningioma and glioma, can be excluded and one can assess the possibility whether a Arnold-Chiari Malformation may be present

  17. Cervical spinal canal narrowing in idiopathic syringomyelia

    Energy Technology Data Exchange (ETDEWEB)

    Struck, Aaron F. [Massachusetts General Hospital, Department of Neurology, Boston, MA (United States); Carr, Carrie M. [Mayo Clinic, Department of Radiology, Rochester, MN (United States); Shah, Vinil [University of California San Francisco, Department of Radiology, San Francisco, CA (United States); Hesselink, John R. [University of California San Diego, Department of Radiology, San Diego, CA (United States); Haughton, Victor M. [University of Wisconsin, Department of Radiology, Madison, WI (United States)

    2016-08-15

    The cervical spine in Chiari I patient with syringomyelia has significantly different anteroposterior diameters than it does in Chiari I patients without syringomyelia. We tested the hypothesis that patients with idiopathic syringomyelia (IS) also have abnormal cervical spinal canal diameters. The finding in both groups may relate to the pathogenesis of syringomyelia. Local institutional review boards approved this retrospective study. Patients with IS were compared to age-matched controls with normal sagittal spine MR. All subjects had T1-weighted spin-echo (500/20) and T2-weighted fast spin-echo (2000/90) sagittal cervical spine images at 1.5 T. Readers blinded to demographic data and study hypothesis measured anteroposterior diameters at each cervical level. The spinal canal diameters were compared with a Mann-Whitney U test. The overall difference was assessed with a Friedman test. Seventeen subjects were read by two reviewers to assess inter-rater reliability. Fifty IS patients with 50 age-matched controls were studied. IS subjects had one or more syrinxes varying from 1 to 19 spinal segments. Spinal canal diameters narrowed from C1 to C3 and then enlarged from C5 to C7 in both groups. Diameters from C2 to C4 were narrower in the IS group (p < 0.005) than in controls. The ratio of the C3 to the C7 diameters was also smaller (p = 0.004) in IS than controls. Collectively, the spinal canal diameters in the IS were significantly different from controls (Friedman test p < 0.0001). Patients with IS have abnormally narrow upper and mid cervical spinal canal diameters and greater positive tapering between C3 and C7. (orig.)

  18. Idiopathic Syringomyelia in a Military Helicopter Pilot.

    Science.gov (United States)

    Schiemer, Anthony

    2017-10-01

    A syrinx is a fluid-filled cavity within the spinal cord. They can lead to a variety of symptoms, including limb weakness and back pain. Incidental finding of syringomyelia provides a challenge for clinicians due to the wide variety of possible symptoms. In military aviation, neurological findings in pilots can result in extensive investigation that can lead to potentially invasive management. Conversely, the potential for chronic progression of a spinal syrinx and subsequent neurological deterioration makes early identification critical. Ultimately, the discovery of a lesion may have implications for flying status and operational capability. A 25-yr-old man working as a navy Seahawk helicopter pilot presented with episodes of right arm paraesthesia and pain between the scapulae. On at least one occasion, these symptoms woke him at night. Upon magnetic resonance imaging, dilatation of the central canal in a syrinx-like pattern in the lower cervical region was noted. Neurology review suggested the finding was persistent and unlikely to be responsible for his symptoms. No surgical input was recommended. His symptoms were attributed to mild cervical spondylosis, which resolved with ongoing physiotherapy, and he was returned to flying status. This case highlights several issues involved with the incidental finding of a syringomyelia. Surgical intervention has been known to worsen symptoms. Conversely, studies have identified minimal radiological progression in cases of idiopathic syringomyelia, with fewer individuals displaying neurological deterioration. For aircrew, potentially unnecessary neurosurgical intervention poses risks to a flying career and overall operational capability.Schiemer A. Idiopathic syringomyelia in a military helicopter pilot. Aerosp Med Hum Perform. 2017; 88(10):962-965.

  19. Acute Idiopathic Syringomyelia: A Case Report

    Directory of Open Access Journals (Sweden)

    June-Kai Chen

    2004-08-01

    Full Text Available There have been isolated reports in the literature of the natural history and less than complete knowledge of the epidemiology and pathophysiology of syringomyelia. This article describes a clinically acute-onset abnormal patient with localized dilatation of the central canal of the spinal cord who had no evidence of present or prior Chiari's malformation, trauma, infection, tumor, or other predisposing pathologic condition. It is suggested that this distinct condition be labeled “acute idiopathic syringomyelia”.

  20. Diagnosis, Differential Diagnoses, and Classification of Diverticular Disease.

    Science.gov (United States)

    Lembcke, Bernhard

    2015-04-01

    While detailed history, physical examination, and laboratory tests are of great importance when examining a patient with diverticular disease, they are not sufficient to diagnose (or stratify) diverticulitis without cross-sectional imaging (ultrasonography (US), computed tomography (CT)). Qualified US has diagnostic value equipotent to qualified CT, follows relevant legislation for radiation exposure protection, and is frequently effectual for diagnosis. Furthermore, its unsurpassed resolution allows detailed investigation down to the histological level. Subsequently, US is considered the first choice of imaging in diverticular disease. Vice versa, CT has definite indications in unclear/discrepant situations or insufficient US performance. Endoscopy is not required for the diagnosis of diverticulitis and shall not be performed in the acute attack. Colonoscopy, however, is warranted after healing of acute diverticulitis, prior to elective surgery, and in atypical cases suggesting other diagnoses. Perforation/abscess must be excluded before colonoscopy. Reliable diagnosis is fundamental for surgical, interventional, and conservative treatment of the different presentations of diverticular disease. Not only complications of acute diverticulitis but also a number of differential diagnoses must be considered. For an adequate surgical strategy, correct stratification of complications is mandatory. Subsequently, in the light of currently validated diagnostic techniques, the consensus conference of the German Societies of Gastroenterology (DGVS) and of Visceral Surgery (DGAV) has passed a new classification of diverticulitis displaying the different facets of diverticular disease. This classification addresses different types (not stages) of the condition, and includes symptomatic diverticular disease (SUDD), largely resembling irritable bowel syndrome, as well as diverticular bleeding.

  1. CT in three cases of syringomyelia

    International Nuclear Information System (INIS)

    Ugawa, Yoshikazu; Sakuta, Manabu; Yagishita, Akira; Inoue, Kiyoharu.

    1983-01-01

    We presented the results of our experience with metrizamide computed tomographic myelography (MCTM) and myelography in three cases of syringomyelia. In case 1, MCTM revealed Chiari malformation, even though this malformation was not clear in the myelography. In case 3, Chiari malformation was apparent in MCTM and in the myelography. In case 1, CT of the spinal cord without enhancement (plain CT) showed a syrinx in the cervical spinal cord, and MCTM made the syrinx clearer with enhancement. MCTM also demonstrated a cavity at the levels of Th 6 and L 1 of the vertebra. In case 2, a syrinx was disclosed in MCTM, in spite of normal myelography. In case 3, myelography demonstrated a spinal cord swelling. MCTM made a syrinx less clear than plain CT. Not only MCTM but also plain CT is an excellent method for the recognition of syringomyelia. The non-invasive plain CT is the first choice of the examinations in cases with syrinogomyelia, because MCTM may make a syrinx obscure. CT and MCTM have to be performed at many levels of the spinal cord in case with syringomyelia. CT or MCTM may demonstrate a syrinx or a cavity at the levels of the spinal cord, where no syrinx is suspected to exist by clinical features, as well as at the levels appearing normal in the myelography. (author)

  2. Syringomyelia and cervical spondylosis: A clinicoradiological investigation

    Energy Technology Data Exchange (ETDEWEB)

    Yu, Y.L.; Moseley, I.F.

    1987-03-01

    Eight eight patients with proven syringomyelia have been studied retrospectively to explore the relationship between syringomyelia and spondylotic degeneration of the cervical spine. When compared with age and sex matched control subjects, they showed no significant increase in incidence or severity of spondylosis or of vertebral subluxation. Duration of symptoms, degree of disablity, and the pattern of analgesia or lower motor neurone lesions in the arms did not appear to be related to the development of spondylosis. The onset of moderate spondylosis, was however, earlier than in the controls, and individual cases with a remarkably early onset or unusual site and/or severity of spondylosis and subluxation were encountered, particularly following laminectomy. It was also noted that in a small number of patients the concomitant development of spondylosis contributed to clinical deterioration. It is concluded that while syringomyelia does not have a consistent, major role in the development of cervical spondylosis or vertebral luxation, it may contribute to progression of spinal degenerative disease in some patients.

  3. Syringomyelia and cervical spondylosis: A clinicoradiological investigation

    International Nuclear Information System (INIS)

    Yu, Y.L.; Moseley, I.F.

    1987-01-01

    Eight eight patients with proven syringomyelia have been studied retrospectively to explore the relationship between syringomyelia and spondylotic degeneration of the cervical spine. When compared with age and sex matched control subjects, they showed no significant increase in incidence or severity of spondylosis or of vertebral subluxation. Duration of symptoms, degree of disablity, and the pattern of analgesia or lower motor neurone lesions in the arms did not appear to be related to the development of spondylosis. The onset of moderate spondylosis, was however, earlier than in the controls, and individual cases with a remarkably early onset or unusual site and/or severity of spondylosis and subluxation were encountered, particularly following laminectomy. It was also noted that in a small number of patients the concomitant development of spondylosis contributed to clinical deterioration. It is concluded that while syringomyelia does not have a consistent, major role in the development of cervical spondylosis or vertebral luxation, it may contribute to progression of spinal degenerative disease in some patients. (orig.)

  4. Texture Feature Extraction and Classification for Iris Diagnosis

    Science.gov (United States)

    Ma, Lin; Li, Naimin

    Appling computer aided techniques in iris image processing, and combining occidental iridology with the traditional Chinese medicine is a challenging research area in digital image processing and artificial intelligence. This paper proposes an iridology model that consists the iris image pre-processing, texture feature analysis and disease classification. To the pre-processing, a 2-step iris localization approach is proposed; a 2-D Gabor filter based texture analysis and a texture fractal dimension estimation method are proposed for pathological feature extraction; and at last support vector machines are constructed to recognize 2 typical diseases such as the alimentary canal disease and the nerve system disease. Experimental results show that the proposed iridology diagnosis model is quite effective and promising for medical diagnosis and health surveillance for both hospital and public use.

  5. The cracked tooth conundrum: terminology, classification, diagnosis, and management.

    Science.gov (United States)

    Kahler, William

    2008-10-01

    To provide an overview of the clinical features, diagnosis, classification and management of cracked teeth which may be a diagnostic challenge in clinical practice. Cracks may initiate from coronal tooth structure or from within the root and affect healthy or root treated teeth. There are many terminologies and classifications in the literature for cracked teeth that can be as confusing as the array of clinical symptoms which are associated with this condition. The term "cracked tooth syndrome" is misleading as there are a range of symptoms that do not form a distinct and reliable pattern. Symptoms will vary with teeth that have healthy pulps, for teeth with inflamed or necrotic pulps, and for teeth that have been root treated. The American Association of Endodontists have classified five specific variations of cracked teeth; craze line, fractured cusp, cracked tooth, split tooth, and vertical root fracture. The importance of differentiating dentin, pulpal and periodontal pain for diagnosis and treatment for these specific entities will be elaborated. A decision flow chart indicating the treatment options available is presented.

  6. [Classification and imaging diagnosis of Lisfranc joint injuries].

    Science.gov (United States)

    Xi, Y; Hu, D J; Yao, W W; Li, M

    2016-07-05

    To accelerate the detection rate and accuracy of diagnosis in damage imaging of Lisfranc joint through research on the information of X-ray, CT, and MR imaging of tarsometatarsus joint (also called Lisfranc joint) damage. A total of 153 cases of tarsometratisus damage or Lisfranc ligamentous injury patients were chosen during November 2012 to November 2015. Lisfranc injuries were classified according to the Myerson fracture displacements classification and Nunley-Vertullo low-grade injury classification. All the treatment data was performed using SPSS 17.0 software. For Myerson fracture displacements, there were 16 cases in Myerson Ⅰ type (homolateral complete), 100 cases in Myerson Ⅱ type (homolateral incomplete), and 5 cases in Myerson Ⅲ type (divergent). For the low-grade injury, there were 7 cases, 24 cases, and 1 case in Nunley-Vertullo Ⅰ, Ⅱ, Ⅲ type respectively. The probability was 14.9% (18/121) for patients that the initial survey found negative by X-ray imaging diagnosis and was confirmed by subsequent CT or MRI. It was found that the distance between the base of first (M1) and second (M2) metatarsus which was larger than 2 mm was 69.4%(84/121)from the X-ray imaging; there were small chip fractures between the base of M1 and M2 was 47.1% (57/121), and 71.2% (37/52)of small chip fractures in the inside of base of M2 from CT. On MRI, ligament disruption showed the discontinue or normal signal disappearing, and there were 15 cases in the complete disruption condition. It should be suggested to take a CT or MRI check for the patients who have highly suspicious Lisfranc injure and the X-ray imaging diagnosis was negative, since there is a certain rate of missed diagnosis for the Lisfranc injure using X-ray imaging. For children and teenagers, the sports injuries and joint strain are common style, such as the injuries caused by jump from higher platform, football/skateboarding injures, etc. If the distance between the base of M1 and M2 is larger than

  7. Congenital vascular anomalies: current perspectives on diagnosis, classification, and management

    Directory of Open Access Journals (Sweden)

    Blei F

    2016-07-01

    Full Text Available Francine Blei,1 Mark E Bittman2 1Vascular Anomalies Program, Lenox Hill Hospital, Northwell Health, 2Department of Radiology, New York University Langone Medical Center, New York, NY, USA Abstract: The term "congenital vascular anomalies" encompasses those vascular lesions present at birth. Many of these lesions may be detected in utero. This review serves to apprise the readership of newly identified diagnoses and updated classification schemes. Attention is focused on clinical features, patterns of presentation, clinical manifestations and behavior, diagnostic tools, and treatment modalities. It is an invigorating period for this field, with a surge in vascular anomalies-related basic and clinical research, genetics, pharmacology, clinical trials, and patient advocacy. A large number of professional conferences now include vascular anomalies in the agenda, and trainees in multiple specialties are gaining expertise in this discipline. We begin with a summary of classification schemes and introduce the updated classification adopted by the International Society for the Study of Vascular Anomalies. Disease entities are described, with liberal use of photographs, as many diagnoses can be established based on a thorough history and visual appearance and it is thus essential to develop a familiarity with diagnosis-specific physical features. Peripheral (non-central nervous system vascular anomalies are the focus of this review. We focus on those entities in which diagnostic radiology is routinely used and accentuate when histologic confirmation is essential. We also underscore some differences in approach to the pediatric vs adolescent or adult patient. A list of Internet-based resources is included, with hyperlinks to informative sites. References are limited to seminal discoveries and review articles. We hope that our enthusiasm in writing this review will be shared by those who read this review. Keywords: vascular anomalies, hemangiomas, vascular

  8. Giant cell arteritis. Part I. Terminology, classification, clinical manifestations, diagnosis

    Directory of Open Access Journals (Sweden)

    Azamat Makhmudovich Satybaldyev

    2012-01-01

    Full Text Available Giant cell arteritis (GCA is a vasculitis affecting mainly large and medium-sized arteries, which the classification of systemic vasculitides refers to as those mainly involving the large vessels. GCA is typified by the involvement of extracranial aortic branches and intracranial vessels, the aorta and its large vessels are being affected most frequently. The paper considers the terminology, classification, prevalence, major pathogenic mechanisms, and morphology of GCA. A broad spectrum of its clinical subtypes is due to target vessel stenosis caused by intimal hyperplasia. In 40% of cases, GCA is shown to be accompanied by polymyalgia rheumatica that may either precede or manifest simultaneously with GCA, or follow this disease. The menacing complications of GCA may be visual loss or ischemic strokes at various sites depending on the location of the occluded vessel. Along with the gold standard verification of the diagnosis of GCA, namely temporal artery biopsy, the author indicates other (noninvasive methods for detection of vascular lesions: color Doppler ultrasonography of the temporal arteries, fluorescein angiography of the retina, mag-netic resonance angiography, magnetic resonance imaging, and computed tomography to rule out aortic aneurysm. Dynamic 18F positron emission tomography is demonstrated to play a role in the evaluation of therapeutic effectiveness.

  9. Intelligence system based classification approach for medical disease diagnosis

    Science.gov (United States)

    Sagir, Abdu Masanawa; Sathasivam, Saratha

    2017-08-01

    The prediction of breast cancer in women who have no signs or symptoms of the disease as well as survivability after undergone certain surgery has been a challenging problem for medical researchers. The decision about presence or absence of diseases depends on the physician's intuition, experience and skill for comparing current indicators with previous one than on knowledge rich data hidden in a database. This measure is a very crucial and challenging task. The goal is to predict patient condition by using an adaptive neuro fuzzy inference system (ANFIS) pre-processed by grid partitioning. To achieve an accurate diagnosis at this complex stage of symptom analysis, the physician may need efficient diagnosis system. A framework describes methodology for designing and evaluation of classification performances of two discrete ANFIS systems of hybrid learning algorithms least square estimates with Modified Levenberg-Marquardt and Gradient descent algorithms that can be used by physicians to accelerate diagnosis process. The proposed method's performance was evaluated based on training and test datasets with mammographic mass and Haberman's survival Datasets obtained from benchmarked datasets of University of California at Irvine's (UCI) machine learning repository. The robustness of the performance measuring total accuracy, sensitivity and specificity is examined. In comparison, the proposed method achieves superior performance when compared to conventional ANFIS based gradient descent algorithm and some related existing methods. The software used for the implementation is MATLAB R2014a (version 8.3) and executed in PC Intel Pentium IV E7400 processor with 2.80 GHz speed and 2.0 GB of RAM.

  10. Automatic classification of tissue malignancy for breast carcinoma diagnosis.

    Science.gov (United States)

    Fondón, Irene; Sarmiento, Auxiliadora; García, Ana Isabel; Silvestre, María; Eloy, Catarina; Polónia, António; Aguiar, Paulo

    2018-03-08

    Breast cancer is the second leading cause of cancer death among women. Its early diagnosis is extremely important to prevent avoidable deaths. However, malignancy assessment of tissue biopsies is complex and dependent on observer subjectivity. Moreover, hematoxylin and eosin (H&E)-stained histological images exhibit a highly variable appearance, even within the same malignancy level. In this paper, we propose a computer-aided diagnosis (CAD) tool for automated malignancy assessment of breast tissue samples based on the processing of histological images. We provide four malignancy levels as the output of the system: normal, benign, in situ and invasive. The method is based on the calculation of three sets of features related to nuclei, colour regions and textures considering local characteristics and global image properties. By taking advantage of well-established image processing techniques, we build a feature vector for each image that serves as an input to an SVM (Support Vector Machine) classifier with a quadratic kernel. The method has been rigorously evaluated, first with a 5-fold cross-validation within an initial set of 120 images, second with an external set of 30 different images and third with images with artefacts included. Accuracy levels range from 75.8% when the 5-fold cross-validation was performed to 75% with the external set of new images and 61.11% when the extremely difficult images were added to the classification experiment. The experimental results indicate that the proposed method is capable of distinguishing between four malignancy levels with high accuracy. Our results are close to those obtained with recent deep learning-based methods. Moreover, it performs better than other state-of-the-art methods based on feature extraction, and it can help improve the CAD of breast cancer. Copyright © 2018 Elsevier Ltd. All rights reserved.

  11. A historical review of syringomyelia in the cranio-cervical region and new aspects for operative treatment possible after NMR examination

    International Nuclear Information System (INIS)

    Freckmann, N.; Herrmann, H.D.

    1987-01-01

    The authors discuss how radiotherapy of syringomyelia is obsolete and the necessary operational choice should be made according to the etiopathogenesis. This is essentially determined by the exact diagnosis bases on NMR imaging which, according to this review, is superior to any other neuroradiological procedures

  12. MR imaging-based diagnosis and classification of meniscal tears.

    Science.gov (United States)

    Nguyen, Jie C; De Smet, Arthur A; Graf, Ben K; Rosas, Humberto G

    2014-01-01

    Magnetic resonance (MR) imaging is currently the modality of choice for detecting meniscal injuries and planning subsequent treatment. A thorough understanding of the imaging protocols, normal meniscal anatomy, surrounding anatomic structures, and anatomic variants and pitfalls is critical to ensure diagnostic accuracy and prevent unnecessary surgery. High-spatial-resolution imaging of the meniscus can be performed using fast spin-echo and three-dimensional MR imaging sequences. Normal anatomic structures that can mimic a tear include the meniscal ligament, meniscofemoral ligaments, popliteomeniscal fascicles, and meniscomeniscal ligament. Anatomic variants and pitfalls that can mimic a tear include discoid meniscus, meniscal flounce, a meniscal ossicle, and chondrocalcinosis. When a meniscal tear is identified, accurate description and classification of the tear pattern can guide the referring clinician in patient education and surgical planning. For example, longitudinal tears are often amenable to repair, whereas horizontal and radial tears may require partial meniscectomy. Tear patterns include horizontal, longitudinal, radial, root, complex, displaced, and bucket-handle tears. Occasionally, meniscal tears can be difficult to detect at imaging; however, secondary indirect signs, such as a parameniscal cyst, meniscal extrusion, or linear subchondral bone marrow edema, should increase the radiologist's suspicion for an underlying tear. Awareness of common diagnostic errors can ensure accurate diagnosis of meniscal tears. Online supplemental material is available for this article. ©RSNA, 2014.

  13. [Fibromyalgia syndrome. Definition, classification, clinical diagnosis and prognosis].

    Science.gov (United States)

    Eich, W; Häuser, W; Arnold, B; Jäckel, W; Offenbächer, M; Petzke, F; Schiltenwolf, M; Settan, M; Sommer, C; Tölle, T; Uçeyler, N; Henningsen, P

    2012-06-01

    The scheduled update to the German S3 guidelines on fibromyalgia syndrome (FMS) by the Association of the Scientific Medical Societies ("Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften", AWMF; registration number 041/004) was planned starting in March 2011. The development of the guidelines was coordinated by the German Interdisciplinary Association for Pain Therapy ("Deutsche Interdisziplinären Vereinigung für Schmerztherapie", DIVS), 9 scientific medical societies and 2 patient self-help organizations. Eight working groups with a total of 50 members were evenly balanced in terms of gender, medical field, potential conflicts of interest and hierarchical position in the medical and scientific fields. Literature searches were performed using the Medline, PsycInfo, Scopus and Cochrane Library databases (until December 2010). The grading of the strength of the evidence followed the scheme of the Oxford Centre for Evidence-Based Medicine. The formulation and grading of recommendations was accomplished using a multi-step, formal consensus process. The guidelines were reviewed by the boards of the participating scientific medical societies. The clinical diagnosis of FMS can be established by the American College of Rheumatology (ACR) 1990 classification criteria (with tender point examination), by the modified preliminary diagnostic ACR 2010 criteria or by the diagnostic criteria of the German interdisciplinary guideline (AWMF) on FMS. The English full-text version of this article is available at SpringerLink (under "Supplemental").

  14. Foraminal syringomyelia: suggestion for a grading system.

    Science.gov (United States)

    Versari, P P; D'Aliberti, G; Talamonti, G; Collice, M

    1993-01-01

    The standard treatment of foraminal syringomyelia includes foramen magnum decompression and duraplasty. Improvement or stabilization of the disease are achieved in most of cases. However, at least one third of patients are reported to receive little or no benefit. In this paper we retrospectively reviewed a series of 40 consecutive foramen magnum decompressions in order to identify the possible pre-operative outcome predictors. Based on clinical evolution, neurological impairment and radiological features, a scale of severity was fixed and retrospectively tested. A pre-operative score was obtained for each patient and was correlated with the surgical results. Then a four level grading system was derived. All grade I and grade II patients achieved good results (improvement or stabilization), whereas grade III patients showed intermediate behaviour and grade IV invariably worsened. On this basis, surgical results of foramen magnum decompression might be further improved provided that a careful pre-operative selection is made.

  15. Radiographic studies of the ventricles in syringomyelia

    International Nuclear Information System (INIS)

    West, R.J.; Williams, B.

    1980-01-01

    Radiographic investigations of 171 patients with communicating syringomyelia have been reviewed. Hydrocephalus was found in one third of the cases and has occasionally progressed after operation on the posterior fossa, sometimes with accompanying clinical deterioration. The outlets of the fourth ventricle were usually abnormal; tonsillar descent, arachnoiditis and both together were seen. Arachnoiditis correlated strongly with a history of difficult birth. The foramen of Magendie was sometimes patent and sometimes blocked. There was no consistent level of occulusion corresponding to a persistent roof of the fourth ventricle. The cisterna magna was usually small or obliterated but some examples of large cisterns or subarachnoid pouches were found. Radiological demonstration of a communication from the fourth ventricle to the syrinx occurred in only seven patients by positive contrast material and not by air. It is suggested that a sizable communication is rare at the time when patients seek treatment. (orig.)

  16. Sphenoid Sinus Carcinoma with Intramedullary Spinal Cord Metastasis and Syringomyelia - Report of A Case -

    International Nuclear Information System (INIS)

    Oh, Yoon Kyeong; Kim, Young Sook

    1996-01-01

    Purpose : Primary sphenoid carcinoma is rare. It accounts for 0.3% of all primary paranasal sinus malignancies. Because of the rarity of sphenoid carcinoma, large series of patients with outcome and survival statistics are currently unavailable. So we followed up the 1 case of sphenoid sinus carcinoma treated in our hospital and reported the course of the disease. In a review of case reports and small series of patients, 2-year survival was 7%. Our case is alive at 29 months after diagnosis of sphenoid sinus carcinoma. Intramedullary spinal cord metastasis (ISCM) is an unusual complication of cancer. In our case rapidly progressive paraparesis and urinary retention developed at 25 months after diagnosis of sphenoid sinus carcinoma. MRI of the thoracic spines showed the intramedullary spinal cord tumor mass at T3 and T4 level with accompanying syringomyelia. Here we report a case of ISCM associated with syringomyelia which has developed after primary sphenoid sinus carcinoma with a review of literature about the clinical behavior and treatment of this lesion

  17. MR imaging of syringomyelia secondary to arachnoid adhesions

    International Nuclear Information System (INIS)

    Mark, A.S.; Andrews, B.; Sanches, J.; Manelfe, C.; Norman, D.; Newton, T.H.

    1987-01-01

    Arachnoid adhesions have been recognized as a cause of syringomyelia. Ten patients with surgically proven syringomyelia secondary to arachnoid adhesions (seven postraumatic, two postinfectious, one post-Pantopaque) were examined by MR imaging using sagittal and axial T1-weighted and sagittal T2-weighted sequences. A syrinx with loss of the sharp edge between the cord and the subarachnoid space as compared with the sharp interface seen in syringomyelia associated with Chiari I, was demonstrated on T1-weighted sequences in all patients. Intradural arachnoid cysts were found in nine patients. After surgical fenestration of the cyst, four patients improved and five remained unchanged. In one patient the syrinx decreased after fenestration of the cyst. Early detection and fesestration of these cavities may improve the patients' outcome

  18. Spontaneous drainage in syringomyelia: magnetic resonance imaging findings

    International Nuclear Information System (INIS)

    Bogdanov, E.I.; Mendelevich, E.G.; Ibatullin, M.M.

    2000-01-01

    We present five cases of syringomyelia associated with Chiari I or other causes of partial obstructions at the cervicomedullary junction, with spontaneous disruption of the wall of a cervical syrinx and formation of a communication between the cavity and the subarachnoid space, shown on axial MRI. MRI can be used to investigate the hydrodynamics, showing the liquid inside the disrupted syrinx wall and the pathway of drainage. The finding of spontaneous drainage may be important for understanding the pathogenesis of syringomyelia and may be helpful for choosing a surgical approach. (orig.)

  19. High dimensional multiclass classification with applications to cancer diagnosis

    DEFF Research Database (Denmark)

    Vincent, Martin

    Probabilistic classifiers are introduced and it is shown that the only regular linear probabilistic classifier with convex risk is multinomial regression. Penalized empirical risk minimization is introduced and used to construct supervised learning methods for probabilistic classifiers. A sparse...... group lasso penalized approach to high dimensional multinomial classification is presented. On different real data examples it is found that this approach clearly outperforms multinomial lasso in terms of error rate and features included in the model. An efficient coordinate descent algorithm...... is developed and the convergence is established. This algorithm is implemented in the msgl R package. Examples of high dimensional multiclass problems are studied, in particular examples of multiclass classification based on gene expression measurements. One such example is the clinically important - problem...

  20. Classification, diagnosis, and approach to treatment for angioedema

    DEFF Research Database (Denmark)

    Cicardi, M; Aberer, W; Banerji, A

    2014-01-01

    Angioedema is defined as localized and self-limiting edema of the subcutaneous and submucosal tissue, due to a temporary increase in vascular permeability caused by the release of vasoactive mediator(s). When angioedema recurs without significant wheals, the patient should be diagnosed to have...... angioedema as a distinct disease. In the absence of accepted classification, different types of angioedema are not uniquely identified. For this reason, the European Academy of Allergy and Clinical Immunology gave its patronage to a consensus conference aimed at classifying angioedema. Four types of acquired...... and three types of hereditary angioedema were identified as separate forms from the analysis of the literature and were presented in detail at the meeting. Here, we summarize the analysis of the data and the resulting classification of angioedema....

  1. A New Feature Ensemble with a Multistage Classification Scheme for Breast Cancer Diagnosis

    Directory of Open Access Journals (Sweden)

    Idil Isikli Esener

    2017-01-01

    Full Text Available A new and effective feature ensemble with a multistage classification is proposed to be implemented in a computer-aided diagnosis (CAD system for breast cancer diagnosis. A publicly available mammogram image dataset collected during the Image Retrieval in Medical Applications (IRMA project is utilized to verify the suggested feature ensemble and multistage classification. In achieving the CAD system, feature extraction is performed on the mammogram region of interest (ROI images which are preprocessed by applying a histogram equalization followed by a nonlocal means filtering. The proposed feature ensemble is formed by concatenating the local configuration pattern-based, statistical, and frequency domain features. The classification process of these features is implemented in three cases: a one-stage study, a two-stage study, and a three-stage study. Eight well-known classifiers are used in all cases of this multistage classification scheme. Additionally, the results of the classifiers that provide the top three performances are combined via a majority voting technique to improve the recognition accuracy on both two- and three-stage studies. A maximum of 85.47%, 88.79%, and 93.52% classification accuracies are attained by the one-, two-, and three-stage studies, respectively. The proposed multistage classification scheme is more effective than the single-stage classification for breast cancer diagnosis.

  2. An integrative approach of linking traditional Chinese medicine pattern classification and biomedicine diagnosis.

    Science.gov (United States)

    Lu, Aiping; Jiang, Miao; Zhang, Chi; Chan, Kelvin

    2012-06-01

    Traditional Chinese medicine (TCM) is a medical system with over 3000 years of continuous practice experience and refinement through treatment observations. The TCM pattern classification (also defined as Syndrome or Zheng differentiation) and treatment of ill health is the basis and the key concept of the TCM theory. All diagnostic and therapeutic methods in TCM are based on the differentiation of TCM pattern. TCM pattern can be considered as the TCM theoretical interpretation of the symptom profiles. Pattern classification is often used as a guideline in disease classification in TCM practice and has been recently incorporated with biomedical diagnosis, resulting in the increasing research interest of TCM pattern among various disciplines of integrative medicine. This paper describes the historical evolution on the integration of the TCM pattern classification and disease diagnosis in biomedicine, the methodology of pattern classification for diseases, efficacy of TCM practice with integration of TCM pattern classification and biomedical disease diagnosis, and the biological basis of TCM pattern. TCM pattern classification, which may lead to new findings in biological sciences, was also discussed. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  3. Three-class classification in computer-aided diagnosis of breast cancer by support vector machine

    Science.gov (United States)

    Sun, Xuejun; Qian, Wei; Song, Dansheng

    2004-05-01

    Design of classifier in computer-aided diagnosis (CAD) scheme of breast cancer plays important role to its overall performance in sensitivity and specificity. Classification of a detected object as malignant lesion, benign lesion, or normal tissue on mammogram is a typical three-class pattern recognition problem. This paper presents a three-class classification approach by using two-stage classifier combined with support vector machine (SVM) learning algorithm for classification of breast cancer on mammograms. The first classification stage is used to detect abnormal areas and normal breast tissues, and the second stage is for classification of malignant or benign in detected abnormal objects. A series of spatial, morphology and texture features have been extracted on detected objects areas. By using genetic algorithm (GA), different feature groups for different stage classification have been investigated. Computerized free-response receiver operating characteristic (FROC) and receiver operating characteristic (ROC) analyses have been employed in different classification stages. Results have shown that obvious performance improvement in both sensitivity and specificity was observed through proposed classification approach compared with conventional two-class classification approaches, indicating its effectiveness in classification of breast cancer on mammograms.

  4. Acute myeloid leukemia: advances in diagnosis and classification.

    Science.gov (United States)

    Hasserjian, R P

    2013-06-01

    Acute myeloid leukemia is an aggressive myeloid neoplasm characterized by ≥20% myeloblasts in the blood or bone marrow. Current treatment strategies for acute myeloid leukemia are based on both patient-related parameters such as age and performance status as well as the intrinsic characteristics of particular disease subtypes. Subtyping of acute myeloid leukemia requires an integration of information from the patient's clinical history (such as any prior preleukemic myeloid neoplasm or cytotoxic potentially leukemogenic therapy), the leukemia morphology, cytogenetic findings, and the mutation status of particular genes (NPM1, FLT3, and CEBPA). In recent years, a barrage of information has become available regarding gene mutations that occur in acute myeloid leukemia and their influence on prognosis. Future therapies for acute myeloid leukemia will increasingly rely on the genetic signatures of individual leukemias and will adjust therapy to the predicted disease aggressiveness as well as employ therapies targeted against particular deregulated genetic pathways. This article reviews current standards for diagnosing and classifying acute myeloid leukemia according to the 2008 WHO Classification. Data that have subsequently accumulated regarding newly characterized gene mutations are also presented. It is anticipated that future leukemia classifications will employ a combination of karyotypic features and the gene mutation pattern to stratify patients to increasingly tailored treatment plans. © 2013 Blackwell Publishing Ltd.

  5. Diagnosis, Differential Diagnoses, and Classification of Diverticular Disease

    OpenAIRE

    Lembcke, Bernhard

    2015-01-01

    Background While detailed history, physical examination, and laboratory tests are of great importance when examining a patient with diverticular disease, they are not sufficient to diagnose (or stratify) diverticulitis without cross-sectional imaging (ultrasonography (US), computed tomography (CT)). Methods Qualified US has diagnostic value equipotent to qualified CT, follows relevant legislation for radiation exposure protection, and is frequently effectual for diagnosis. Furthermore, its un...

  6. Cerebral palsy: classification, diagnosis and challenges of care.

    Science.gov (United States)

    Hayes, Catherine

    This article aims to build capacity between nursing and allied healthcare practitioner staff in highlighting the unique challenges that caring for people with cerebral palsy (CP) brings. It gives an insight into how CP is classified and diagnosed, and briefly outlines issues of political correctness in labelling people with this condition. It covers the complexities of brain development in people with CP, with consideration of the key aetiological contributors to the incidence of the condition. A straightforward approach to unravelling the classification of movement disorders in CP is adopted. It concludes that a multidisciplinary approach to the management of CP, with the nurse at the centre of this holistic approach to patient care, is pivotal to future healthcare provision.

  7. Cardiac device infections: definition, classification, differential diagnosis, and management.

    Science.gov (United States)

    Polewczyk, Anna; Janion, Marianna; Kutarski, Andrzej

    2016-04-13

    Cardiac device infections (CDIs) continue to be a serious clinical problem, with varying terminology and different classifications constituting one of the major diagnostic and therapeutic challenges in routine clinical practice. The problem invariably arises during an attempt to estimate the extent of the infection, which in consequence determines the choice of treatment strategy (duration of antibiotic therapy). The most serious form of CDI is lead-related infective endocarditis (LRIE). There are no clearly established diagnostic criteria for this disease; the available Duke University criteria are difficult to apply in patients with a suspicion of LRIE because of low sensitivity. As the treatment of LRIE is expensive and troublesome, there is a tendency to underdiagnose this condition and seek any intermediary forms between local pocket infection and definite LRIE. The present review includes suggestions for the systematization of CDIs with a clear definition of LRIE as a separate and most severe entity among CDIs.

  8. The diagnosis and management of pre-invasive breast disease: Pathological diagnosis – problems with existing classifications

    International Nuclear Information System (INIS)

    Van de Vijver, Marc J; Peterse, Hans

    2003-01-01

    In this review, we comment on the reasons for disagreement in the concepts, diagnosis and classifications of pre-invasive intraductal proliferations. In view of these disagreements, our proposal is to distinguish epithelial hyperplasia, lobular carcinoma in situ and ductal carcinoma in situ, and to abandon the use of poorly reproducible categories, such as atypical ductal hyperplasia or ductal intraepithelial neoplasia, followed by a number to indicate the degree of proliferation and atypia, as these are not practical for clinical decision making, nor for studies aimed at improving the understanding of breast cancer development. If there is doubt about the classification of an intraductal proliferation, a differential diagnosis and the reason for and degree of uncertainty should be given, rather than categorizing a proliferation as atypical

  9. The utility of the diagnosis of pedophilia: a comparison of various classification procedures.

    Science.gov (United States)

    Kingston, Drew A; Firestone, Philip; Moulden, Heather M; Bradford, John M

    2007-06-01

    This study examined the utility of the diagnosis of pedophilia in a sample of extra-familial child molesters assessed at a university teaching hospital between 1982 and 1992. Pedophilia was defined in one of four ways: (1) DSM diagnosis made by a psychiatrist; (2) deviant phallometric profile; (3) DSM diagnosis and a deviant phallometric profile; and, (4) high scores based on the Screening Scale for Pedophilic Interest (Seto & Lalumière, 2001). Demographic data, psychological tests, and offence history were obtained and group differences were analyzed along with the ability of certain variables to contribute uniquely to the classification of pedophilia. Results indicated that few significant differences existed on psychological measures between pedophilic and nonpedophilic extra-familial child molesters regardless of the classification system employed. Finally, results indicated that the procedures used to define pedophilia were not significantly related to one another. Results are discussed in terms of the utility of the diagnosis of pedophilia.

  10. Classification and Differential Diagnosis of Oral and Maxillofacial Pain.

    Science.gov (United States)

    Scrivani, Steven J; Spierings, Egilius L H

    2016-08-01

    Pain in the orofacial region is a common presenting symptom. The majority of symptoms are related to dental disease and the cause can readily be established, the problem dealt with, and the pain eliminated. However, pain may persist and defy attempts at treatment. Intractable oral or facial pain can be diagnostically challenging. To make a definitive diagnosis and initiate proper treatment, a rigorous protocol for evaluation includes a thorough history and an appropriate comprehensive clinical examination and diagnostic testing, including chief complaint, history of present illness, medical history, physical examination, diagnostic studies, including imaging, and psychosocial evaluation. Copyright © 2016 Elsevier Inc. All rights reserved.

  11. Histologic findings and comparison with sputum smears in pulmonary aspiration of vegetable particles in syringomyelia: a case report.

    Science.gov (United States)

    Martínez-Girón, Rafael; Ribas-Barceló, Andrés; Astudillo-González, Aurora; Calvo-Temprano, David

    2007-01-01

    Pulmonary aspiration of vegetable matter may be a serious cause of lung damage, requiring, almost always, the help of a histopathologic examination. We report the case of a 55-year-old woman with a granulomatous pneumonitis due to repeated pulmonary aspiration of vegetable particles and affected by a syringomyelia. Histologic findings from a lobectomy section are shown and compared with those observed in different cytologic sputum samples. The recognition of uncommon morphologic structures, and their comparison with others already known, both in histologic sections and in cellular smears, may be useful when it comes to establishing a sure diagnosis.

  12. Classification of magnetocardiographic maps in coronary artery disease diagnosis

    Energy Technology Data Exchange (ETDEWEB)

    Kwon, H.; Kim, K.; Kim, J. M.; Lee, Y. H.; Kim, T. E.; Lim, H. K. [Biomagnetism Research, Korea Research Institute of Standards and Science, Daejeon (Korea, Republic of); Ko, Y. G.; Chung, N. [Cardiovascular Center, College of Medicine, Yonsei University, Seoul (Korea, Republic of)

    2005-10-15

    The diagnostic management of patients with chest pain remains a clinical challenge. Magnetocardiography (MCG) has been proposed as a new non-invasive method for detection of myocardial ischemia. To date, however, MCG technique is not intensively introduced for clinical use. One of the main reasons might be the absence of statistically valid and diagnostically clean criteria, which can determine the presence of certain heart disease. In this work, we suggested a new method to classify the diagnostic value of MCG for the detection of coronary artery disease (CAD) in patients with chest pain. MCG was recorded for three groups (healthy subjects and patients without and with CAD) by means of the 64 channel SQUID gradiometer system installed at a hospital. Using four parameters, which were found to be significantly different between groups, we evaluated a probability, in which parameters can be classified into each group based on the distribution function of the parameter in each group. For all parameters, sum of probabilities was compared between groups to determine the presence of CAD. Our classification method shows that the MCG can be a useful tool to predict the presence of CAD with sensitivity and specificity of higher than 80% each.

  13. Leprosy. An update: definition, pathogenesis, classification, diagnosis, and treatment.

    Science.gov (United States)

    Eichelmann, K; González González, S E; Salas-Alanis, J C; Ocampo-Candiani, J

    2013-09-01

    Leprosy is a chronic granulomatous disease caused by the bacillus Mycobacterium leprae. It primarily affects the skin and peripheral nerves and is still endemic in various regions of the world. Clinical presentation depends on the patient's immune status at the time of infection and during the course of the disease. Leprosy is associated with disability and marginalization. Diagnosis is clinical and is made when the patient has at least 1 of the following cardinal signs specified by the World Health Organization: hypopigmented or erythematous macules with sensory loss; thickened peripheral nerves; or positive acid-fast skin smear or skin biopsy with loss of adnexa at affected sites. Leprosy is treated with a multidrug combination of rifampicin, clofazimine, and dapsone. Two main regimens are used depending on whether the patient has paucibacillary or multibacillary disease. Copyright © 2011 Elsevier España, S.L. and AEDV. All rights reserved.

  14. Association of HTLV-I with Arnold Chiari syndrome and syringomyelia

    Directory of Open Access Journals (Sweden)

    Graça Maria de Castro Viana

    Full Text Available HTLV-I is associated with a broad spectrum of manifestations, including tropical spastic paraparesis and adult T-cell leukemia/lymphoma. Arnold Chiari syndrome is a condition characterized by herniation of the cerebellar tonsils through the foramen magnum. This condition should be suspected in all patients with headache and impaired motor coordination. Syringomyelia is a developmental anomaly that leads to the formation of an intramedullary cavity. Its clinical presentation is classically characterized by syringomyelic dissociation of sensation, with suspended distribution in the proximal portion of the trunk and upper limbs and preservation in other regions. We report here a case of association of the three diseases, which is rare in clinical practice, illustrating the difficulty in the diagnosis and therapeutic management of these conditions.

  15. Establishing competency in the use of North American Nursing Diagnosis Association, Nursing Outcomes Classification, and Nursing Interventions Classification terminology.

    Science.gov (United States)

    Keenan, Gail; Falan, Sharie; Heath, Crystal; Treder, Marcy

    2003-01-01

    The purpose of this study was to evaluate a 16-hour intervention designed to build clinician competency in the use of North American Nursing Diagnosis Association (NANDA), Nursing Outcome Classification (NOC), and Nursing Interventions Classification (NIC) (hereinafter: N3) among nurses with limited N3 knowledge. Each of 19 pairs of nurses independently selected N3 terms and rated the outcomes applicable to an actual patient for a specified time. A pair-through discussion then created a single consensus patient profile of the applicable terms. Before discussion, pairs agreed on 46% of the NANDA diagnoses, 30% of the NOC outcomes, and 20% of the NIC interventions selected. Eighty-nine percent of NOC label pair ratings were within 1 point. Building competency in N3 requires consistent use in written and oral communication with peers across time. Inter-rater reliabilities (IRRs) for NOC label ratings support previous findings.

  16. A global consensus on the classification, diagnosis and multidisciplinary treatment of perianal fistulising Crohn's disease

    NARCIS (Netherlands)

    Gecse, Krisztina B.; Bemelman, Willem; Kamm, Michael A.; Stoker, Jaap; Khanna, Reena; Ng, Siew C.; Panés, Julián; van Assche, Gert; Liu, Zhanju; Hart, Ailsa; Levesque, Barrett G.; D'Haens, Geert; Bouguen, Guillaume; Sturm, Andreas; Laharie, David; Feagan, Brian; Sandborn, William; Sands, Bruce; Colombel, Jean-Frederic

    2014-01-01

    To develop a consensus on the classification, diagnosis and multidisciplinary treatment of perianal fistulising Crohn's disease (pCD), based on best available evidence. Based on a systematic literature review, statements were formed, discussed and approved in multiple rounds by the 20 working group

  17. Classification and Clinical Diagnosis of Fibromyalgia Syndrome: Recommendations of Recent Evidence-Based Interdisciplinary Guidelines

    OpenAIRE

    Fitzcharles, Mary-Ann; Shir, Yoram; Ablin, Jacob N.; Buskila, Dan; Amital, Howard; Henningsen, Peter; Häuser, Winfried

    2013-01-01

    Objectives. Fibromyalgia syndrome (FMS), characterized by subjective complaints without physical or biomarker abnormality, courts controversy. Recommendations in recent guidelines addressing classification and diagnosis were examined for consistencies or differences. Methods. Systematic searches from January 2008 to February 2013 of the US-American National Guideline Clearing House, the Scottish Intercollegiate Guidelines Network, Guidelines International Network, and Medline for evidence-ba...

  18. FEATURE EXTRACTION BASED WAVELET TRANSFORM IN BREAST CANCER DIAGNOSIS USING FUZZY AND NON-FUZZY CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    Pelin GORGEL

    2013-01-01

    Full Text Available This study helps to provide a second eye to the expert radiologists for the classification of manually extracted breast masses taken from 60 digital mammıgrams. These mammograms have been acquired from Istanbul University Faculty of Medicine Hospital and have 78 masses. The diagnosis is implemented with pre-processing by using feature extraction based Fast Wavelet Transform (FWT. Afterwards Adaptive Neuro-Fuzzy Inference System (ANFIS based fuzzy subtractive clustering and Support Vector Machines (SVM methods are used for the classification. It is a comparative study which uses these methods respectively. According to the results of the study, ANFIS based subtractive clustering produces ??% while SVM produces ??% accuracy in malignant-benign classification. The results demonstrate that the developed system could help the radiologists for a true diagnosis and decrease the number of the missing cancerous regions or unnecessary biopsies.

  19. Small Intestinal Tumours: An Overview on Classification, Diagnosis, and Treatment

    Directory of Open Access Journals (Sweden)

    Chiara Notaristefano

    2014-12-01

    Full Text Available The small intestinal neoplasia group includes different types of lesions and are a relatively rare event, accounting for only 3-6% of all gastrointestinal (GI neoplasms and 1-3% of all GI malignancies. These lesions can be classified as epithelial and mesenchymal, either benign or malignant. Mesenchymal tumours include stromal tumours (GIST and other neoplasms that might arise from soft tissue throughout the rest of the body (lipomas, leiomyomas and leiomyosarcomas, fibromas, desmoid tumours, and schwannomas. Other lesions occurring in the small bowel are carcinoids, lymphomas, and melanomas. To date, carcinoids and GIST are reported as the most frequent malignant lesions occurring in the small bowel. Factors that predispose to the development of malignant lesions are different, and they may be hereditary (Peutz-Jeghers syndrome, familial adenomatous polyposis, hereditary non-polyposis colorectal cancer, neuroendocrine neoplasia Type 1, von Hippel-Lindau disease, and neurofibromatosis Type 1, acquired (sporadic colorectal cancer and small intestine adenomas, coeliac disease, Crohn’s disease, or environmental (diet, tobacco, and obesity. Small bowel tumours present with different and sometimes nonspecific symptoms, and a prompt diagnosis is not always so easily performed. Diagnostic tools, that may be both radiological and endoscopic, possess specificity and sensitivity, as well as different roles depending on the type of lesion. Treatment of these lesions may be different and, in recent years, new therapies have enabled an improvement in life expectancy.

  20. NEW CLASSIFICATION AND DIAGNOSIS OF APPENDICEAL CARCINOID TUMORS

    Directory of Open Access Journals (Sweden)

    Vuka Katić

    2012-03-01

    Full Text Available Carcinoid tumours are rare lesions that belong to the APUDoma category having the capacity of Amine Precursor Uptake and Decarboxylase. Gastrointestinal system comprises 90% of all carcinoids in the body and they are the most common type of primary malignant lesions of the appendix. New WHO classification of gastrointestinal carcinoids, diagnostic dilemmas of some carcinoid variants and, sometimes unpredictable prognosis are the reasons for the following study: clinical, macro- and microscopical as well as cytochemical and immunocytochemical examination of the vermiform appendix carcinoids, surgically removed from 16 patients. The appendectomy was induced by acute appendicitis or tumorous mass, without carcinoid syndrome. After two-day fixation in 10% formaldehyde, routinelly processed and embedded in paraffin, laboratory sections were stained with H&E, Fontana-Masson’s, Grimelius’, FIF and ABPAS methods. ABC method has been used for immunohistochemical examination. The antibodies for Chromogranin A, NSE, Synaptophysin, Cytokeratin 7, S-100 protein, Ki67 and CEA (primary antibodies and ABC (secondary antibody (Dako Kopenhagen were tested. The patients had no carcinoid syndrome. The most frequent was classic appendiceal carcinoid, well differentiated - NETG1 (8 cases, without metastases; goblet cell carcinoids were rare (3 cases, one case with liver metastases. The second case of goblet cell carcinoid was associated with cystadenoma papillare mucinosum, complicated by pseudomixoma peritonei and the third case was limited only to appendiceal wall. The patient with liver metastases died five months after appendectomy. The patient with goblet cell carcinoid associated with papillary mucinous cystadenoma and complicated by pseudomixoma peritonei had re-operation with both partial cecal and right ovarial resection, associated with washing the peritoneal cavity. The patient was feeling well during six years from the second operation. Based on our

  1. MRI of secondary cervical syringomyelia in four cats

    International Nuclear Information System (INIS)

    Okada, Midori; Itou, Takuya; Sakai, Takeo; Kitagawa, Masato; Ito, Daisuke; Kanayama, Kiichi

    2009-01-01

    This report describes the use of magnetic resonance imaging (MRI) to diagnose cervical syringomyelia in 4 cats. MRI revealed enlargement of the lateral ventricle in all the cats. Of the 4 cases, MRI revealed herniation of the cerebellum in 3 cats, an isolated fourth ventricle in 1 cat, severe hydrocephalus in 2 cats and brain masses in 1 cat. In this report, the cervical syringomyelia in these cats may have been due to formation of a secondary syrinx (enlargement of the central canal) as a result of blockage of flow in the outlet of the fourth ventricle caused by feline infectious peritonitis (FIP) encephalomyelitis or secondary cerebellar tonsillar herniation caused by increased intracranial pressure due to intracranial masses or may have been due to caudal compression of the cerebellum caused by increased intracranial pressure due to hydrocephalus. (author)

  2. A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method

    Directory of Open Access Journals (Sweden)

    Xiao Liu

    2017-01-01

    Full Text Available Heart disease is one of the most common diseases in the world. The objective of this study is to aid the diagnosis of heart disease using a hybrid classification system based on the ReliefF and Rough Set (RFRS method. The proposed system contains two subsystems: the RFRS feature selection system and a classification system with an ensemble classifier. The first system includes three stages: (i data discretization, (ii feature extraction using the ReliefF algorithm, and (iii feature reduction using the heuristic Rough Set reduction algorithm that we developed. In the second system, an ensemble classifier is proposed based on the C4.5 classifier. The Statlog (Heart dataset, obtained from the UCI database, was used for experiments. A maximum classification accuracy of 92.59% was achieved according to a jackknife cross-validation scheme. The results demonstrate that the performance of the proposed system is superior to the performances of previously reported classification techniques.

  3. Automated database-guided expert-supervised orientation for immunophenotypic diagnosis and classification of acute leukemia.

    Science.gov (United States)

    Lhermitte, L; Mejstrikova, E; van der Sluijs-Gelling, A J; Grigore, G E; Sedek, L; Bras, A E; Gaipa, G; Sobral da Costa, E; Novakova, M; Sonneveld, E; Buracchi, C; de Sá Bacelar, T; Te Marvelde, J G; Trinquand, A; Asnafi, V; Szczepanski, T; Matarraz, S; Lopez, A; Vidriales, B; Bulsa, J; Hrusak, O; Kalina, T; Lecrevisse, Q; Martin Ayuso, M; Brüggemann, M; Verde, J; Fernandez, P; Burgos, L; Paiva, B; Pedreira, C E; van Dongen, J J M; Orfao, A; van der Velden, V H J

    2017-11-01

    Precise classification of acute leukemia (AL) is crucial for adequate treatment. EuroFlow has previously designed an AL orientation tube (ALOT) to guide towards the relevant classification panel (T-cell acute lymphoblastic leukemia (T-ALL), B-cell precursor (BCP)-ALL and/or acute myeloid leukemia (AML)) and final diagnosis. Now we built a reference database with 656 typical AL samples (145 T-ALL, 377 BCP-ALL, 134 AML), processed and analyzed via standardized protocols. Using principal component analysis (PCA)-based plots and automated classification algorithms for direct comparison of single-cells from individual patients against the database, another 783 cases were subsequently evaluated. Depending on the database-guided results, patients were categorized as: (i) typical T, B or Myeloid without or; (ii) with a transitional component to another lineage; (iii) atypical; or (iv) mixed-lineage. Using this automated algorithm, in 781/783 cases (99.7%) the right panel was selected, and data comparable to the final WHO-diagnosis was already provided in >93% of cases (85% T-ALL, 97% BCP-ALL, 95% AML and 87% mixed-phenotype AL patients), even without data on the full-characterization panels. Our results show that database-guided analysis facilitates standardized interpretation of ALOT results and allows accurate selection of the relevant classification panels, hence providing a solid basis for designing future WHO AL classifications.Leukemia advance online publication, 1 December 2017; doi:10.1038/leu.2017.313.

  4. Brake fault diagnosis using Clonal Selection Classification Algorithm (CSCA – A statistical learning approach

    Directory of Open Access Journals (Sweden)

    R. Jegadeeshwaran

    2015-03-01

    Full Text Available In automobile, brake system is an essential part responsible for control of the vehicle. Any failure in the brake system impacts the vehicle's motion. It will generate frequent catastrophic effects on the vehicle cum passenger's safety. Thus the brake system plays a vital role in an automobile and hence condition monitoring of the brake system is essential. Vibration based condition monitoring using machine learning techniques are gaining momentum. This study is one such attempt to perform the condition monitoring of a hydraulic brake system through vibration analysis. In this research, the performance of a Clonal Selection Classification Algorithm (CSCA for brake fault diagnosis has been reported. A hydraulic brake system test rig was fabricated. Under good and faulty conditions of a brake system, the vibration signals were acquired using a piezoelectric transducer. The statistical parameters were extracted from the vibration signal. The best feature set was identified for classification using attribute evaluator. The selected features were then classified using CSCA. The classification accuracy of such artificial intelligence technique has been compared with other machine learning approaches and discussed. The Clonal Selection Classification Algorithm performs better and gives the maximum classification accuracy (96% for the fault diagnosis of a hydraulic brake system.

  5. Classification of MR brain images by combination of multi-CNNs for AD diagnosis

    Science.gov (United States)

    Cheng, Danni; Liu, Manhua; Fu, Jianliang; Wang, Yaping

    2017-07-01

    Alzheimer's disease (AD) is an irreversible neurodegenerative disorder with progressive impairment of memory and cognitive functions. Its early diagnosis is crucial for development of future treatment. Magnetic resonance images (MRI) play important role to help understand the brain anatomical changes related to AD. Conventional methods extract the hand-crafted features such as gray matter volumes and cortical thickness and train a classifier to distinguish AD from other groups. Different from these methods, this paper proposes to construct multiple deep 3D convolutional neural networks (3D-CNNs) to learn the various features from local brain images which are combined to make the final classification for AD diagnosis. First, a number of local image patches are extracted from the whole brain image and a 3D-CNN is built upon each local patch to transform the local image into more compact high-level features. Then, the upper convolution and fully connected layers are fine-tuned to combine the multiple 3D-CNNs for image classification. The proposed method can automatically learn the generic features from imaging data for classification. Our method is evaluated using T1-weighted structural MR brain images on 428 subjects including 199 AD patients and 229 normal controls (NC) from Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Experimental results show that the proposed method achieves an accuracy of 87.15% and an AUC (area under the ROC curve) of 92.26% for AD classification, demonstrating the promising classification performances.

  6. ANAESTHETIC MANAGEMENT IN A PATIENT WITH ARNOLD-CHI ARI MALFORMATION TYPE I AND SYRINGOMYELIA

    OpenAIRE

    Kartika; Pratap; Vijayalaxmi; Kalyan Chakravarthy; Nagaraju

    2013-01-01

    ABSTRACT: Syringomyelia is an unusual neurological condition characterised by the the presence of cystic cavity in the spinal cord resultin g in neurological manifestations. Here, we report a safe anesthetic management of patient with Arnold-Ch iari malformation type I and syringomyelia posted for foramen magnum decompression . INTRODUCTION: Arnold-Chiari malformation (ACM) is a developmental malformation characterised by downward displacement of cere...

  7. Initial diagnosis and treatment in first-episode psychosis: can an operationalized diagnostic classification system enhance treating clinicians' diagnosis and the treatment chosen?

    LENUS (Irish Health Repository)

    Coentre, Ricardo

    2011-05-01

    Diagnosis during the initial stages of first-episode psychosis is particularly challenging but crucial in deciding on treatment. This is compounded by important differences in the two major classification systems, International Classification of Diseases, 10th revision (ICD-10) and Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV). We aimed to compare the concordance between an operationalized diagnosis using Operational Criteria Checklist (OPCRIT) and treating clinician-generated diagnosis in first episode psychosis diagnosis and its correlation with treatment prescribed.

  8. Improved Classification by Non Iterative and Ensemble Classifiers in Motor Fault Diagnosis

    Directory of Open Access Journals (Sweden)

    PANIGRAHY, P. S.

    2018-02-01

    Full Text Available Data driven approach for multi-class fault diagnosis of induction motor using MCSA at steady state condition is a complex pattern classification problem. This investigation has exploited the built-in ensemble process of non-iterative classifiers to resolve the most challenging issues in this area, including bearing and stator fault detection. Non-iterative techniques exhibit with an average 15% of increased fault classification accuracy against their iterative counterparts. Particularly RF has shown outstanding performance even at less number of training samples and noisy feature space because of its distributive feature model. The robustness of the results, backed by the experimental verification shows that the non-iterative individual classifiers like RF is the optimum choice in the area of automatic fault diagnosis of induction motor.

  9. Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis.

    Science.gov (United States)

    Wei, Liyang; Yang, Yongyi; Nishikawa, Roberts M

    2009-06-01

    In this paper we propose a microcalcification classification scheme, assisted by content-based mammogram retrieval, for breast cancer diagnosis. We recently developed a machine learning approach for mammogram retrieval where the similarity measure between two lesion mammograms was modeled after expert observers. In this work we investigate how to use retrieved similar cases as references to improve the performance of a numerical classifier. Our rationale is that by adaptively incorporating local proximity information into a classifier, it can help to improve its classification accuracy, thereby leading to an improved "second opinion" to radiologists. Our experimental results on a mammogram database demonstrate that the proposed retrieval-driven approach with an adaptive support vector machine (SVM) could improve the classification performance from 0.78 to 0.82 in terms of the area under the ROC curve.

  10. [Zheng Classification in Chinese Medicine: from Its Integration with Disease Diagnosis to Clinical Effectiveness Assessment and Combinational New Drug Discovery].

    Science.gov (United States)

    Lv, Ai-ping

    2015-08-01

    As the core of traditional Chinese medicine theory, Zheng (syndrome, or pattern) classification will promote personalized medicine by changing the clinical diagnosis into a more precise mode when integrating Zheng classification with disease diagnosis approaches. The author adopted rheumatoid arthritis (RA) as a disease model, to explore the scientific fundamentals of Zheng classification based on disease diagnosis using systemic biological approaches and evidence-based medicine design, as well as developed novel approaches on the methodology of clinical effectiveness evaluation on Chinese medicine and R&D of combinational drugs design based on Fu Fang (Chinese herbal formula). Some unique research design and methods are herein introduced.

  11. Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders.

    Science.gov (United States)

    Subasi, Abdulhamit

    2013-06-01

    Support vector machine (SVM) is an extensively used machine learning method with many biomedical signal classification applications. In this study, a novel PSO-SVM model has been proposed that hybridized the particle swarm optimization (PSO) and SVM to improve the EMG signal classification accuracy. This optimization mechanism involves kernel parameter setting in the SVM training procedure, which significantly influences the classification accuracy. The experiments were conducted on the basis of EMG signal to classify into normal, neurogenic or myopathic. In the proposed method the EMG signals were decomposed into the frequency sub-bands using discrete wavelet transform (DWT) and a set of statistical features were extracted from these sub-bands to represent the distribution of wavelet coefficients. The obtained results obviously validate the superiority of the SVM method compared to conventional machine learning methods, and suggest that further significant enhancements in terms of classification accuracy can be achieved by the proposed PSO-SVM classification system. The PSO-SVM yielded an overall accuracy of 97.41% on 1200 EMG signals selected from 27 subject records against 96.75%, 95.17% and 94.08% for the SVM, the k-NN and the RBF classifiers, respectively. PSO-SVM is developed as an efficient tool so that various SVMs can be used conveniently as the core of PSO-SVM for diagnosis of neuromuscular disorders. Copyright © 2013 Elsevier Ltd. All rights reserved.

  12. A phenotypic approach for IUIS PID classification and diagnosis: guidelines for clinicians at the bedside.

    Science.gov (United States)

    Bousfiha, Ahmed Aziz; Jeddane, Leïla; Ailal, Fatima; Al Herz, Waleed; Conley, Mary Ellen; Cunningham-Rundles, Charlotte; Etzioni, Amos; Fischer, Alain; Franco, Jose Luis; Geha, Raif S; Hammarström, Lennart; Nonoyama, Shigeaki; Ochs, Hans D; Roifman, Chaim M; Seger, Reinhard; Tang, Mimi L K; Puck, Jennifer M; Chapel, Helen; Notarangelo, Luigi D; Casanova, Jean-Laurent

    2013-08-01

    The number of genetically defined Primary Immunodeficiency Diseases (PID) has increased exponentially, especially in the past decade. The biennial classification published by the IUIS PID expert committee is therefore quickly expanding, providing valuable information regarding the disease-causing genotypes, the immunological anomalies, and the associated clinical features of PIDs. These are grouped in eight, somewhat overlapping, categories of immune dysfunction. However, based on this immunological classification, the diagnosis of a specific PID from the clinician's observation of an individual clinical and/or immunological phenotype remains difficult, especially for non-PID specialists. The purpose of this work is to suggest a phenotypic classification that forms the basis for diagnostic trees, leading the physician to particular groups of PIDs, starting from clinical features and combining routine immunological investigations along the way. We present 8 colored diagnostic figures that correspond to the 8 PID groups in the IUIS Classification, including all the PIDs cited in the 2011 update of the IUIS classification and most of those reported since.

  13. A novel approach to the detection of acromegaly: accuracy of diagnosis by automatic face classification.

    Science.gov (United States)

    Schneider, Harald J; Kosilek, Robert P; Günther, Manuel; Roemmler, Josefine; Stalla, Günter K; Sievers, Caroline; Reincke, Martin; Schopohl, Jochen; Würtz, Rolf P

    2011-07-01

    The delay between onset of first symptoms and diagnosis of the acromegaly is 6-10 yr. Acromegaly causes typical changes of the face that might be recognized by face classification software. The objective of the study was to assess classification accuracy of acromegaly by face-classification software. This was a diagnostic study. The study was conducted in specialized care. Participants in the study included 57 patients with acromegaly (29 women, 28 men) and 60 sex- and age-matched controls. We took frontal and side photographs of the faces and grouped patients into subjects with mild, moderate, and severe facial features of acromegaly by overall impression. We then analyzed all pictures using computerized similarity analysis based on Gabor jets and geometry functions. We used the leave-one-out cross-validation method to classify subjects by the software. Additionally, all subjects were classified by visual impression by three acromegaly experts and three general internists. Classification accuracy by software, experts, and internists was measured. The software correctly classified 71.9% of patients and 91.5% of controls. Classification accuracy for patients by visual analysis was 63.2 and 42.1% by experts and general internists, respectively. Classification accuracy for controls was 80.8 and 87.0% by experts and internists, respectively. The highest differences in accuracy between software and experts and internists were present for patients with mild acromegaly. Acromegaly can be detected by computer software using photographs of the face. Classification accuracy by software is higher than by medical experts or general internists, particularly in patients with mild features of acromegaly. This is a promising tool to help detecting acromegaly.

  14. Volume change theory for syringomyelia: A new perspective.

    Science.gov (United States)

    Rai, Survendra Kumar Rajdeo; Rai, Pooja Survendra Kumar

    2015-01-01

    The etiopathogenesis of syringomyelia is still an enigma. The authors present a novel theory based on fluid dynamics at the craniovertebral (CV) junction to explain the genesis of syringomyelia (SM). The changes in volume of spinal canal, spinal cord, central canal and spinal subarachnoid space (SSS) in relation to the posterior fossa have been analysed, specifically during postural movements of flexion and extension. The effect of fluctuations in volume of spinal canal and its contents associated with cerebrospinal fluid (CSF) flow dynamics at the CV junction have been postulated to cause the origin and propagation of the syringomyelia. The relevant literature on the subject has been reviewed and the author's theory has been discussed. Volume of spinal canal in flexion is always greater than that in extension. Flexion of spine causes narrowing of the ventral subarachnoid space (SAS) and widening of dorsal SAS while extension causes reverse changes leading to fluid movement in dorsal spinal SAS in flexion and ventral spinal SAS in extension. Cervical and lumbar spinal region with maximum bulk hence maximum area and volume undergo maximum deformation during postural changes. SSS CSF is the difference between the volume of spinal canal and spinal cord, varies in flexion and extension which is compensated by changes in posterior fossa (CSF) volume in normal circumstances. Blocked SAS at foramen magnum donot permit spinal SAS CSF exchange which during postural changes is compensated by cavitatory/cystic (syrinx) change at locations in cervical and lumbar spine with propensity for maximum deformation. Augmentation of posterior fossa volume by decompression helps by normalization of this CSF exchange dynamics but immobilizing the spinal movement theoretically will cease any dynamic volume changes thereby minimizing the destructive influence of the fluid exchange on the cord. Thus, this theory strengthens the rational of treating patients by either methodology.

  15. [Hemihypertrophy and scoliosis revealing a Chiari 1 malformation with syringomyelia].

    Science.gov (United States)

    Benjamin, M-D; Santiago, J; Hebert, J-C; Thirion, S; Ranaivojaona, S; Alvarez, C; Atallah, A; Sibille, G; Bataille, H; Porlys, M; Ebrad, P

    2011-11-01

    We report the case of a 9-year-old boy with progressive thoracic scoliosis and crossed hemihypertrophy who was discovered with a Chiari 1 malformation and syringomyelia. These disorders are connected by complex physiopathological mechanisms; their association deserves attention. This observation reviews the importance of the clinical examination, particularly the neurological exam, in childhood scoliosis. The features suggesting a neurogenic background of spine deformation should be sought. Scoliosis with hemihypertrophy can be the sign of an underlying neurological abnormality. Copyright © 2011 Elsevier Masson SAS. All rights reserved.

  16. The method of diagnosis and classification of the gingival line defects of the teeth hard tissues

    Directory of Open Access Journals (Sweden)

    Olena Bulbuk

    2017-06-01

    Full Text Available For solving the problem of diagnosis and treatment of hard tissue defects the significant role belongs to the choice of tactics for dental treatment of hard tissue defects located in the gingival line of any tooth. This work aims to study the problems of diagnosis and classification of gingival line defects of the teeth hard tissues. That will contribute to the objectification of differentiated diagnostic and therapeutic approaches in the dental treatment of various clinical variants of these defects localization. The objective of the study – is to develop the anatomical-functional classification for differentiated estimation of hard tissue defects in the gingival part, as the basis for the application of differential diagnostic-therapeutic approaches to the dental treatment of hard tissue defects disposed in the gingival part of any tooth. Materials and methods of investigation: There was conducted the examination of 48 patients with hard tissue defects located in the gingival part of any tooth. To assess the magnitude of gingival line destruction the periodontal probe and X-ray examination were used. Results. The result of the performed research the classification of the gingival line defects of the hard tissues was offered using exponent power. The value of this indicator is equal to an integer number expressed in millimeters of distance from the epithelial attachment to the cavity’s bottom of defect. Conclusions. The proposed classification fills an obvious gap in academic representations about hard tissue defects located in the gingival part of any tooth. Also it offers the prospects of consensus on differentiated diagnostic-therapeutic approaches in different clinical variants of location.  This classification builds methodological “bridge of continuity” between therapeutic and prosthetic dentistry in the field of treatment of the gingival line defects of dental hard tissues.

  17. Magnetic resonance imaging-based measures of atlas position: Relationship to canine atlantooccipital overlapping, syringomyelia and clinical signs.

    Science.gov (United States)

    Cerda-Gonzalez, S; Bibi, K F; Gifford, A T; Mudrak, E L; Scrivani, P V

    2016-03-01

    Canine atlantooccipital overlapping (AOO) is characterized by a decreased distance between the dorsal arch of the atlas and the supraoccipital bone. Current diagnostic criteria for this condition are subjective and clinician-dependent; objective criteria are needed to allow a reliable and reproducible diagnosis in clinical and research settings and assess clinical significance. We propose four standardized MRI-based measurements to objectively assess the proximity of the atlas to the foramen magnum. Inclusion criteria for dogs in this study were bodyweight 5 months, and availability of a complete MRI study performed with the craniocervical junction in extension. Exclusion criteria were space-occupying lesions and poor image quality (i.e. unclear bony margins). Measurements also included blinded determinations of skull type, presence of craniocervical junction anomalies and presence and severity of syringomyelia. Clinical status at the time of imaging was noted. Measurements were obtained in 271 dogs; these were reproducible and reliable. Findings varied by skull type: dolichocephalic dogs had smaller foramen magnum, whereas brachycephalic dogs had more cranially and dorsally positioned atlas bodies in comparison to the other skull types. Measurements also increased with increases in bodyweight. This study demonstrated a close association between AOO, syringomyelia and clinical signs. Toy and small breed dogs (including Cavalier King Charles spaniels) showed higher than previously reported prevalence of AOO; its occurrence was also associated with lower bodyweights within the study population of <15 kg toy/small breed dogs. Copyright © 2016 Elsevier Ltd. All rights reserved.

  18. Comparison of clinical causes of deth with autopsy diagnosis using discrepancy classification

    International Nuclear Information System (INIS)

    Ullah, K.; Alamgir, W.

    2006-01-01

    To determine the usefulness of autopsy findings in the quality improvement of patients care. The clinical and necropsy findings of all the cases, who died in hospital and had undergone autopsy examination at CMH, Kharian, from January 2001 to December 2003, were retrieved from record of clinical case sheet data and autopsy record of the hospital. The two were analyzed and compared according to the discrepancy classification. The exclusion and inclusion criteria, the international classification of disease (ICD) to code deaths, the global burden of disease (GBD) system to classify and group diseases, and the Goldman discrepancy classification to compare clinical and autopsy diagnosis and classify the discrepancies, were used as described. The death rate varied from 0.94% to 1.29% and autopsy rate from 4.69% to 10.10% annually between January 2001 and December 2003. The number of cases classified according to GBD system was 3 (5%) in Group 1, 26 (43.33 %) in Group 2 and 31 (51.66 %) in Group 3. The discrepancy classes included 9 (15 %) class I major discrepancies and 3 (5 %) class II major discrepancies. Non-discrepant diagnosis was seen in 37 cases (61.66 %) and 11 cases (18.32 %) were non classifiable. (author)

  19. S2k Guidlines for Diverticular Disease and Diverticulitis: Diagnosis, Classification, and Therapy for the Radiologist.

    Science.gov (United States)

    Schreyer, A G; Layer, G

    2015-08-01

    Diverticular disease and diverticulitis represent an increasingly common disease especially in patients with advanced age. The German Society of Digestive and Metabolic Diseases (DGVS) as well as the German Society of General and Visceral Surgery (DGAV) in collaboration with the German Radiology Society (DRG) created and published S2k guidelines regarding this topic. Knowledge of the diagnosis and therapy of this common disease is extremely important for the radiologist for the daily clinical routine. In this article we review and discuss the most important clinical situations and algorithms of this disease focusing on radiological topics. Additionally, we introduce the new CCD (classification of diverticular disease) system regarding radiology. For the diagnosis of a diverticular disease a sectional imaging method should be performed. First choice should be a "qualified ultrasound examination" followed by CT in uncertain situations or complicated disease. Disease classification should be done according the new CCD (Classification of diverticular disease) algorithm. Based on this new CCD patients can be stratified into outpatient, in-house patient and surgical treatment therapy. © Georg Thieme Verlag KG Stuttgart · New York.

  20. Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis.

    Science.gov (United States)

    Al-Rajab, Murad; Lu, Joan; Xu, Qiang

    2017-07-01

    This paper examines the accuracy and efficiency (time complexity) of high performance genetic data feature selection and classification algorithms for colon cancer diagnosis. The need for this research derives from the urgent and increasing need for accurate and efficient algorithms. Colon cancer is a leading cause of death worldwide, hence it is vitally important for the cancer tissues to be expertly identified and classified in a rapid and timely manner, to assure both a fast detection of the disease and to expedite the drug discovery process. In this research, a three-phase approach was proposed and implemented: Phases One and Two examined the feature selection algorithms and classification algorithms employed separately, and Phase Three examined the performance of the combination of these. It was found from Phase One that the Particle Swarm Optimization (PSO) algorithm performed best with the colon dataset as a feature selection (29 genes selected) and from Phase Two that the Support Vector Machine (SVM) algorithm outperformed other classifications, with an accuracy of almost 86%. It was also found from Phase Three that the combined use of PSO and SVM surpassed other algorithms in accuracy and performance, and was faster in terms of time analysis (94%). It is concluded that applying feature selection algorithms prior to classification algorithms results in better accuracy than when the latter are applied alone. This conclusion is important and significant to industry and society. Copyright © 2017 Elsevier B.V. All rights reserved.

  1. Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions

    Directory of Open Access Journals (Sweden)

    Quentin Noirhomme

    2014-01-01

    Full Text Available Multivariate classification is used in neuroimaging studies to infer brain activation or in medical applications to infer diagnosis. Their results are often assessed through either a binomial or a permutation test. Here, we simulated classification results of generated random data to assess the influence of the cross-validation scheme on the significance of results. Distributions built from classification of random data with cross-validation did not follow the binomial distribution. The binomial test is therefore not adapted. On the contrary, the permutation test was unaffected by the cross-validation scheme. The influence of the cross-validation was further illustrated on real-data from a brain–computer interface experiment in patients with disorders of consciousness and from an fMRI study on patients with Parkinson disease. Three out of 16 patients with disorders of consciousness had significant accuracy on binomial testing, but only one showed significant accuracy using permutation testing. In the fMRI experiment, the mental imagery of gait could discriminate significantly between idiopathic Parkinson's disease patients and healthy subjects according to the permutation test but not according to the binomial test. Hence, binomial testing could lead to biased estimation of significance and false positive or negative results. In our view, permutation testing is thus recommended for clinical application of classification with cross-validation.

  2. Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions.

    Science.gov (United States)

    Noirhomme, Quentin; Lesenfants, Damien; Gomez, Francisco; Soddu, Andrea; Schrouff, Jessica; Garraux, Gaëtan; Luxen, André; Phillips, Christophe; Laureys, Steven

    2014-01-01

    Multivariate classification is used in neuroimaging studies to infer brain activation or in medical applications to infer diagnosis. Their results are often assessed through either a binomial or a permutation test. Here, we simulated classification results of generated random data to assess the influence of the cross-validation scheme on the significance of results. Distributions built from classification of random data with cross-validation did not follow the binomial distribution. The binomial test is therefore not adapted. On the contrary, the permutation test was unaffected by the cross-validation scheme. The influence of the cross-validation was further illustrated on real-data from a brain-computer interface experiment in patients with disorders of consciousness and from an fMRI study on patients with Parkinson disease. Three out of 16 patients with disorders of consciousness had significant accuracy on binomial testing, but only one showed significant accuracy using permutation testing. In the fMRI experiment, the mental imagery of gait could discriminate significantly between idiopathic Parkinson's disease patients and healthy subjects according to the permutation test but not according to the binomial test. Hence, binomial testing could lead to biased estimation of significance and false positive or negative results. In our view, permutation testing is thus recommended for clinical application of classification with cross-validation.

  3. An interpretable fuzzy rule-based classification methodology for medical diagnosis.

    Science.gov (United States)

    Gadaras, Ioannis; Mikhailov, Ludmil

    2009-09-01

    The aim of this paper is to present a novel fuzzy classification framework for the automatic extraction of fuzzy rules from labeled numerical data, for the development of efficient medical diagnosis systems. The proposed methodology focuses on the accuracy and interpretability of the generated knowledge that is produced by an iterative, flexible and meaningful input partitioning mechanism. The generated hierarchical fuzzy rule structure is composed by linguistic; multiple consequent fuzzy rules that considerably affect the model comprehensibility. The performance of the proposed method is tested on three medical pattern classification problems and the obtained results are compared against other existing methods. It is shown that the proposed variable input partitioning leads to a flexible decision making framework and fairly accurate results with a small number of rules and a simple, fast and robust training process.

  4. Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules.

    Science.gov (United States)

    Nakhleh, Morad K; Amal, Haitham; Jeries, Raneen; Broza, Yoav Y; Aboud, Manal; Gharra, Alaa; Ivgi, Hodaya; Khatib, Salam; Badarneh, Shifaa; Har-Shai, Lior; Glass-Marmor, Lea; Lejbkowicz, Izabella; Miller, Ariel; Badarny, Samih; Winer, Raz; Finberg, John; Cohen-Kaminsky, Sylvia; Perros, Frédéric; Montani, David; Girerd, Barbara; Garcia, Gilles; Simonneau, Gérald; Nakhoul, Farid; Baram, Shira; Salim, Raed; Hakim, Marwan; Gruber, Maayan; Ronen, Ohad; Marshak, Tal; Doweck, Ilana; Nativ, Ofer; Bahouth, Zaher; Shi, Da-You; Zhang, Wei; Hua, Qing-Ling; Pan, Yue-Yin; Tao, Li; Liu, Hu; Karban, Amir; Koifman, Eduard; Rainis, Tova; Skapars, Roberts; Sivins, Armands; Ancans, Guntis; Liepniece-Karele, Inta; Kikuste, Ilze; Lasina, Ieva; Tolmanis, Ivars; Johnson, Douglas; Millstone, Stuart Z; Fulton, Jennifer; Wells, John W; Wilf, Larry H; Humbert, Marc; Leja, Marcis; Peled, Nir; Haick, Hossam

    2017-01-24

    We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoarray was clinically assessed on breath samples collected from 1404 subjects having one of 17 different disease conditions included in the study or having no evidence of any disease (healthy controls). Blind experiments showed that 86% accuracy could be achieved with the artificially intelligent nanoarray, allowing both detection and discrimination between the different disease conditions examined. Analysis of the artificially intelligent nanoarray also showed that each disease has its own unique breathprint, and that the presence of one disease would not screen out others. Cluster analysis showed a reasonable classification power of diseases from the same categories. The effect of confounding clinical and environmental factors on the performance of the nanoarray did not significantly alter the obtained results. The diagnosis and classification power of the nanoarray was also validated by an independent analytical technique, i.e., gas chromatography linked with mass spectrometry. This analysis found that 13 exhaled chemical species, called volatile organic compounds, are associated with certain diseases, and the composition of this assembly of volatile organic compounds differs from one disease to another. Overall, these findings could contribute to one of the most important criteria for successful health intervention in the modern era, viz. easy-to-use, inexpensive (affordable), and miniaturized tools that could also be used for personalized screening, diagnosis, and follow-up of a number of diseases, which can clearly be extended by further development.

  5. S2k guidelines for diverticular disease and diverticulitis. Diagnosis, classification, and therapy for the radiologist

    International Nuclear Information System (INIS)

    Schreyer, A.G.; Layer, G.

    2015-01-01

    Diverticular disease and diverticulitis represent an increasingly common disease especially in patients with advanced age. The German Society of Digestive and Metabolic Diseases (DGVS) as well as the German Society of General and Visceral Surgery (DGAV) in collaboration with the German Radiology Society (DRG) created and published S2k guidelines regarding this topic. Knowledge of the diagnosis and therapy of this common disease is extremely important for the radiologist for the daily clinical routine. In this article we review and discuss the most important clinical situations and algorithms of this disease focusing on radiological topics. Additionally, we introduce the new CCD (classification of diverticular disease) system regarding radiology.

  6. Giant posterior fossa arachnoid cyst causing tonsillar herniation and cervical syringomyelia

    Directory of Open Access Journals (Sweden)

    Vijay P Joshi

    2013-01-01

    Full Text Available Acquired cerebellar tonsillar herniation and syringomyelia associated with posterior fossa mass lesions is an exception rather than the rule. In the present article, we describe the neuroimaging findings in a case of 28-year-old female patient presented with a history of paraesthesia involving right upper limb of 8-month duration. Magnetic resonance imaging showed a giant retrocerebellar arachnoid causing tonsillar herniation with cervical syringomyelia. The findings in the present case supports that the one of the primary mechanism for the development of syringomyelia may be the obstruction to the flow of cerebrospinal fluid causing alterations in the passage of extracellular fluid in the spinal cord and leading to syringomyelia.

  7. Evaluation of different classification methods for the diagnosis of schizophrenia based on functional near-infrared spectroscopy.

    Science.gov (United States)

    Li, Zhaohua; Wang, Yuduo; Quan, Wenxiang; Wu, Tongning; Lv, Bin

    2015-02-15

    Based on near-infrared spectroscopy (NIRS), recent converging evidence has been observed that patients with schizophrenia exhibit abnormal functional activities in the prefrontal cortex during a verbal fluency task (VFT). Therefore, some studies have attempted to employ NIRS measurements to differentiate schizophrenia patients from healthy controls with different classification methods. However, no systematic evaluation was conducted to compare their respective classification performances on the same study population. In this study, we evaluated the classification performance of four classification methods (including linear discriminant analysis, k-nearest neighbors, Gaussian process classifier, and support vector machines) on an NIRS-aided schizophrenia diagnosis. We recruited a large sample of 120 schizophrenia patients and 120 healthy controls and measured the hemoglobin response in the prefrontal cortex during the VFT using a multichannel NIRS system. Features for classification were extracted from three types of NIRS data in each channel. We subsequently performed a principal component analysis (PCA) for feature selection prior to comparison of the different classification methods. We achieved a maximum accuracy of 85.83% and an overall mean accuracy of 83.37% using a PCA-based feature selection on oxygenated hemoglobin signals and support vector machine classifier. This is the first comprehensive evaluation of different classification methods for the diagnosis of schizophrenia based on different types of NIRS signals. Our results suggested that, using the appropriate classification method, NIRS has the potential capacity to be an effective objective biomarker for the diagnosis of schizophrenia. Copyright © 2014 Elsevier B.V. All rights reserved.

  8. Difficult intubation in a parturient with syringomyelia and Arnold–Chiari malformation: Use of Airtraq™ laryngoscope

    Science.gov (United States)

    Mustapha, Bensghir; Chkoura, K.; Elhassani, M.; Ahtil, R.; Azendour, H.; Kamili, N. Drissi

    2011-01-01

    Anesthetic technique in parturient with syringomyelia and Arnold–Chiari malformation is variable depending on the teams. Difficult intubation is one of the risks when general anesthesia is opted. Different devices have been used to manage the difficult intubation in pregnant women. We report the use of Airtraq™ laryngoscope after failed standard laryngoscopy in a parturient with syringomyelia and Arnold–Chiari type I malformation. PMID:22144932

  9. Difficult intubation in a parturient with syringomyelia and Arnold-Chiari malformation: Use of Airtraq™ laryngoscope

    Directory of Open Access Journals (Sweden)

    Bensghir Mustapha

    2011-01-01

    Full Text Available Anesthetic technique in parturient with syringomyelia and Arnold-Chiari malformation is variable depending on the teams. Difficult intubation is one of the risks when general anesthesia is opted. Different devices have been used to manage the difficult intubation in pregnant women. We report the use of Airtraq™ laryngoscope after failed standard laryngoscopy in a parturient with syringomyelia and Arnold-Chiari type I malformation.

  10. Acquired Chiari Malformation and Syringomyelia Secondary to Space-Occupying Lesions: A Systematic Review.

    Science.gov (United States)

    Wang, Justin; Alotaibi, Naif M; Samuel, Nardin; Ibrahim, George M; Fallah, Aria; Cusimano, Michael D

    2017-02-01

    Acquired Chiari malformations (ACM) and associated syringomyelia secondary to space-occupying lesions can cause neurologic deficits independent of or in combination with the offending mass. Although type I Chiari malformations are traditionally treated with posterior fossa decompression, optimal surgical management of ACM and associated syringomyelia remains unclear. The purpose of this study is to review the current literature surrounding the management of ACM. A systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Using the relevant keywords, articles were identified through multiple databases from inception to April 2016. Our primary outcome was postoperative resolution of tonsillar herniation, syringomyelia, and clinical symptoms and signs. Thirty studies (27 case reports and 3 case series), encompassing 44 patients, were included in the review. Meningiomas (36%) and arachnoid cysts (32%) were the lesions most commonly associated with ACM. Offending lesions were usually large (85%) and almost all were found in the posterior fossa (89%). Syringomyelia was present in 82% of cases. Overall, all but 1 patient had improvement or resolution of their syringomyelia after surgery and none required a syrinx shunt. Rates of tonsillar ascent, syrinx resolution, and neurologic recovery were similar in patients who underwent lesion removal alone versus those who underwent posterior fossa decompression and lesion removal. Space-occupying lesions in the posterior fossa are a rare cause of ACM and syringomyelia. Surgical management of the underlying lesion improves ACM and associated syringomyelia without the need for syrinx shunting. Copyright © 2016 Elsevier Inc. All rights reserved.

  11. Review of diagnosis and classification of leukemias that occurred in A-bomb survivors (preliminary report)

    International Nuclear Information System (INIS)

    Matsuo, Tatsuki; Tomonaga, Masao; Ichimaru, Michito; Kamata, Nanao; Kuramoto, Atsushi.

    1984-01-01

    According to the current knowledge of diagnosis and classification, a review of 157 patients who had developed leukemia before June 30, 1967 was made. The total number of acute leukemia slightly decreased among A-bomb survivors in Hiroshima; however, the number of acute lymphatic leukemia (ALL) increased. The number of chronic myeloid leukemia (CML) was unchanged. The frequency of CML implied that A-bombing damaged stem cells in a high incidence. Among A-bomb survivors in Nagasaki, although the number of acute non-lymphatic leukemia decreased, the number of ALL was unchanged. Adult T-cell leukemia (ATL) was diagnosed in 7 A-bomb survivors, confirming that Nagasaki is an endemic area for ATL. These preliminary results seem to be of importance in elucidating the mechanism of leukemia developiong among A-bomb survivors. (Namekawa, K.)

  12. CT classification of chronic pancreatitis and the significance for differential diagnosis

    International Nuclear Information System (INIS)

    Hu Xueling

    2006-01-01

    Objective: To study the CT characteristics of chronic pancreatitis and a classification based on the CT manifestations was established. Methods: In total 59 patients with chronic pancreatitis, 43 males and 16 females, with an average age of 40 years old were enrolled in the study. History of acute pancreatitis was positive in 36 patients. Non contrast enhanced and contrast enhanced CT scans were performed. The sizes of lesions, contour of pancreas, as well as the number, density and margin of lesions were investigated on the CT images. Results: Atrophy of the entire pancreas was revealed in 27 patients (46%), complicated with different degree of calcification. Solitary cyst with amorphous wall calcification was demonstrated in 13 patients (22%); multiple intra-pancreatic and peri-pancreatic pseudo-cysts were shown in 7 patients (12%); dilated pancreatic duct was seen in 7 patients (12%); and regional well demarcated bulging of pancreas was presented in 5 patients (8%). Conclusion: The CT findings of chronic pancreatitis in our study could be classified into 5 types: atrophy type, solitary cystic type, multicystic type, pure pancreatic duct dilatation type and mass type. The classification had certain significance for the differential diagnosis and the etiological analysis of chronic pancreatitis. (authors)

  13. An Expert System for Diagnosis of Sleep Disorder Using Fuzzy Rule-Based Classification Systems

    Science.gov (United States)

    Septem Riza, Lala; Pradini, Mila; Fitrajaya Rahman, Eka; Rasim

    2017-03-01

    Sleep disorder is an anomaly that could cause problems for someone’ sleeping pattern. Nowadays, it becomes an issue since people are getting busy with their own business and have no time to visit the doctors. Therefore, this research aims to develop a system used for diagnosis of sleep disorder using Fuzzy Rule-Based Classification System (FRBCS). FRBCS is a method based on the fuzzy set concepts. It consists of two steps: (i) constructing a model/knowledge involving rulebase and database, and (ii) prediction over new data. In this case, the knowledge is obtained from experts whereas in the prediction stage, we perform fuzzification, inference, and classification. Then, a platform implementing the method is built with a combination between PHP and the R programming language using the “Shiny” package. To validate the system that has been made, some experiments have been done using data from a psychiatric hospital in West Java, Indonesia. Accuracy of the result and computation time are 84.85% and 0.0133 seconds, respectively.

  14. Common Patterns of Congenital Lower Extremity Shortening: Diagnosis, Classification, and Follow-up.

    Science.gov (United States)

    Bedoya, Maria A; Chauvin, Nancy A; Jaramillo, Diego; Davidson, Richard; Horn, B David; Ho-Fung, Victor

    2015-01-01

    Congenital lower limb shortening is a group of relatively rare, heterogeneous disorders. Proximal focal femoral deficiency (PFFD) and fibular hemimelia (FH) are the most common pathologic entities in this disease spectrum. PFFD is characterized by variable degrees of shortening or absence of the femoral head, with associated dysplasia of the acetabulum and femoral shaft. FH ranges from mild hypoplasia to complete absence of the fibula with variable shortening of the tibia. The development of the lower limb requires complex and precise gene interactions. Although the etiologies of PFFD and FH remain unknown, there is a strong association between the two disorders. Associated congenital defects in the lower extremity are found in more than 50% of patients with PFFD, ipsilateral FH being the most common. FH also has a strong association with shortening and bowing of the tibia and with foot deformities such as absence of the lateral rays of the foot. Early diagnosis and radiologic classification of these abnormalities are imperative for appropriate management and surgical planning. Plain radiography remains the main diagnostic imaging modality for both PFFD and FH, and appropriate description of the osseous abnormalities seen on radiographs allows accurate classification, prognostic evaluation, and surgical planning. Minor malformations may commonly be misdiagnosed. ©RSNA, 2015.

  15. A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.

    Science.gov (United States)

    Zhu, Xiaofeng; Suk, Heung-Il; Wang, Li; Lee, Seong-Whan; Shen, Dinggang

    2017-05-01

    In this paper, we focus on joint regression and classification for Alzheimer's disease diagnosis and propose a new feature selection method by embedding the relational information inherent in the observations into a sparse multi-task learning framework. Specifically, the relational information includes three kinds of relationships (such as feature-feature relation, response-response relation, and sample-sample relation), for preserving three kinds of the similarity, such as for the features, the response variables, and the samples, respectively. To conduct feature selection, we first formulate the objective function by imposing these three relational characteristics along with an ℓ 2,1 -norm regularization term, and further propose a computationally efficient algorithm to optimize the proposed objective function. With the dimension-reduced data, we train two support vector regression models to predict the clinical scores of ADAS-Cog and MMSE, respectively, and also a support vector classification model to determine the clinical label. We conducted extensive experiments on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset to validate the effectiveness of the proposed method. Our experimental results showed the efficacy of the proposed method in enhancing the performances of both clinical scores prediction and disease status identification, compared to the state-of-the-art methods. Copyright © 2015 Elsevier B.V. All rights reserved.

  16. Classification

    Science.gov (United States)

    Clary, Renee; Wandersee, James

    2013-01-01

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

  17. Differential Diagnosis of Erythmato-Squamous Diseases Using Classification and Regression Tree.

    Science.gov (United States)

    Maghooli, Keivan; Langarizadeh, Mostafa; Shahmoradi, Leila; Habibi-Koolaee, Mahdi; Jebraeily, Mohamad; Bouraghi, Hamid

    2016-10-01

    Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose. we aimed to use the Classification and Regression Tree (CART) to predict differential diagnosis of ESD. we used the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. For this purpose, the dermatology data set from machine learning repository, UCI was obtained. The Clementine 12.0 software from IBM Company was used for modelling. In order to evaluation of the model we calculate the accuracy, sensitivity and specificity of the model. The proposed model had an accuracy of 94.84% (. 24.42) in order to correct prediction of the ESD disease. Results indicated that using of this classifier could be useful. But, it would be strongly recommended that the combination of machine learning methods could be more useful in terms of prediction of ESD.

  18. Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification

    Science.gov (United States)

    Riely, Amelia; Sablan, Kyle; Xiaotao, Thomas; Furst, Jacob; Raicu, Daniela

    2015-03-01

    Medical imaging technology has always provided radiologists with the opportunity to view and keep records of anatomy of the patient. With the development of machine learning and intelligent computing, these images can be used to create Computer-Aided Diagnosis (CAD) systems, which can assist radiologists in analyzing image data in various ways to provide better health care to patients. This paper looks at increasing accuracy and reducing cost in creating CAD systems, specifically in predicting the malignancy of lung nodules in the Lung Image Database Consortium (LIDC). Much of the cost in creating an accurate CAD system stems from the need for multiple radiologist diagnoses or annotations of each image, since there is rarely a ground truth diagnosis and even different radiologists' diagnoses of the same nodule often disagree. To resolve this issue, this paper outlines an method of selective iterative classification that predicts lung nodule malignancy by using multiple radiologist diagnoses only for cases that can benefit from them. Our method achieved 81% accuracy while costing only 46% of the method that indiscriminately used all annotations, which achieved a lower accuracy of 70%, while costing more.

  19. Using random forest for reliable classification and cost-sensitive learning for medical diagnosis.

    Science.gov (United States)

    Yang, Fan; Wang, Hua-zhen; Mi, Hong; Lin, Cheng-de; Cai, Wei-wen

    2009-01-30

    Most machine-learning classifiers output label predictions for new instances without indicating how reliable the predictions are. The applicability of these classifiers is limited in critical domains where incorrect predictions have serious consequences, like medical diagnosis. Further, the default assumption of equal misclassification costs is most likely violated in medical diagnosis. In this paper, we present a modified random forest classifier which is incorporated into the conformal predictor scheme. A conformal predictor is a transductive learning scheme, using Kolmogorov complexity to test the randomness of a particular sample with respect to the training sets. Our method show well-calibrated property that the performance can be set prior to classification and the accurate rate is exactly equal to the predefined confidence level. Further, to address the cost sensitive problem, we extend our method to a label-conditional predictor which takes into account different costs for misclassifications in different class and allows different confidence level to be specified for each class. Intensive experiments on benchmark datasets and real world applications show the resultant classifier is well-calibrated and able to control the specific risk of different class. The method of using RF outlier measure to design a nonconformity measure benefits the resultant predictor. Further, a label-conditional classifier is developed and turn to be an alternative approach to the cost sensitive learning problem that relies on label-wise predefined confidence level. The target of minimizing the risk of misclassification is achieved by specifying the different confidence level for different class.

  20. Classification and Clinical Diagnosis of Fibromyalgia Syndrome: Recommendations of Recent Evidence-Based Interdisciplinary Guidelines

    Directory of Open Access Journals (Sweden)

    Mary-Ann Fitzcharles

    2013-01-01

    Full Text Available Objectives. Fibromyalgia syndrome (FMS, characterized by subjective complaints without physical or biomarker abnormality, courts controversy. Recommendations in recent guidelines addressing classification and diagnosis were examined for consistencies or differences. Methods. Systematic searches from January 2008 to February 2013 of the US-American National Guideline Clearing House, the Scottish Intercollegiate Guidelines Network, Guidelines International Network, and Medline for evidence-based guidelines for the management of FMS were conducted. Results. Three evidence-based interdisciplinary guidelines, independently developed in Canada, Germany, and Israel, recommended that FMS can be clinically diagnosed by a typical cluster of symptoms following a defined evaluation including history, physical examination, and selected laboratory tests, to exclude another somatic disease. Specialist referral is only recommended when some other physical or mental illness is reasonably suspected. The diagnosis can be based on the (modified preliminary American College of Rheumatology (ACR 2010 diagnostic criteria. Discussion. Guidelines from three continents showed remarkable consistency regarding the clinical concept of FMS, acknowledging that FMS is neither a distinct rheumatic nor mental disorder, but rather a cluster of symptoms, not explained by another somatic disease. While FMS remains an integral part of rheumatology, it is not an exclusive rheumatic condition and spans a broad range of medical disciplines.

  1. Diagnosis and classification of hematologic malignancies on the basis of genetics

    Science.gov (United States)

    2017-01-01

    Genomic analysis has greatly influenced the diagnosis and clinical management of patients affected by diverse forms of hematologic malignancies. Here, we review how genetic alterations define subclasses of patients with acute leukemias, myelodysplastic syndromes (MDS), myeloproliferative neoplasms (MPNs), non-Hodgkin lymphomas, and classical Hodgkin lymphoma. These include new subtypes of acute myeloid leukemia defined by mutations in RUNX1 or BCR-ABL1 translocations as well as a constellation of somatic structural DNA alterations in acute lymphoblastic leukemia. Among patients with MDS, detection of mutations in SF3B1 define a subgroup of patients with the ring sideroblast form of MDS and a favorable prognosis. For patients with MPNs, detection of the BCR-ABL1 fusion delineates chronic myeloid leukemia from classic BCR-ABL1− MPNs, which are largely defined by mutations in JAK2, CALR, or MPL. In the B-cell lymphomas, detection of characteristic rearrangements involving MYC in Burkitt lymphoma, BCL2 in follicular lymphoma, and MYC/BCL2/BCL6 in high-grade B-cell lymphomas are essential for diagnosis. In T-cell lymphomas, anaplastic large-cell lymphoma is defined by mutually exclusive rearrangements of ALK, DUSP22/IRF4, and TP63. Genetic alterations affecting TP53 and the mutational status of the immunoglobulin heavy-chain variable region are important in clinical management of chronic lymphocytic leukemia. Additionally, detection of BRAFV600E mutations is helpful in the diagnosis of classical hairy cell leukemia and a number of histiocytic neoplasms. Numerous additional examples provided here demonstrate how clinical evaluation of genomic alterations have refined classification of myeloid neoplasms and major forms of lymphomas arising from B, T, or natural killer cells. PMID:28600336

  2. Gastro 2013 APDW/WCOG Shanghai working party report: chronic diarrhea: definition, classification, diagnosis.

    Science.gov (United States)

    Schiller, Lawrence R; Pardi, Darrell S; Spiller, Robin; Semrad, Carol E; Surawicz, Christina M; Giannella, Ralph A; Krejs, Guenter J; Farthing, Michael J G; Sellin, Joseph H

    2014-01-01

    Diarrhea is best defined as passage of loose stools often with more frequent bowel movements. For clinical purposes, the Bristol Stool Form Scale works well to distinguish stool form and to identify loose stools. Laboratory testing of stool consistency has lagged behind. Acute diarrhea is likely to be due to infection and to be self-limited. As diarrhea becomes chronic, it is less likely to be due to infection; duration of 1 month seems to work well as a cut-off for chronic diarrhea, but detailed scientific knowledge is missing about the utility of this definition. In addition to duration of diarrhea, classifications by presenting scenario, by pathophysiology, and by stool characteristics (e.g. watery, fatty, or inflammatory) may help the canny clinician refine the differential diagnosis of chronic diarrhea. In this regard, a careful history remains the essential part of the evaluation of a patient with diarrhea. Imaging the intestine with endoscopy and radiographic techniques is useful, and biopsy of the small intestine and colon for histological assessment provides key diagnostic information. Endomicroscopy and molecular pathology are only now being explored for the diagnosis of chronic diarrhea. Interest in the microbiome of the gut is increasing; aside from a handful of well-described infections because of pathogens, little is known about alterations in the microbiome in chronic diarrhea. Serological tests have well-defined roles in the diagnosis of celiac disease but have less clearly defined application in autoimmune enteropathies and inflammatory bowel disease. Measurement of peptide hormones is of value in the diagnosis and management of endocrine tumors causing diarrhea, but these are so rare that these tests are of little value in screening because there will be many more false-positives than true-positive results. Chemical analysis of stools is of use in classifying chronic diarrhea and may limit the differential diagnosis that must be considered, but

  3. Classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2017-01-01

    This article presents and discusses definitions of the term “classification” and the related concepts “Concept/conceptualization,”“categorization,” “ordering,” “taxonomy” and “typology.” It further presents and discusses theories of classification including the influences of Aristotle...... and Wittgenstein. It presents different views on forming classes, including logical division, numerical taxonomy, historical classification, hermeneutical and pragmatic/critical views. Finally, issues related to artificial versus natural classification and taxonomic monism versus taxonomic pluralism are briefly...

  4. Concept, diagnosis and classification of bisphosphonate-associated osteonecrosis of the jaws. A review of the literature.

    Science.gov (United States)

    Gavaldá, C; Bagán, J-V

    2016-05-01

    Bisphosphonates (BPs) and other antiresorptive agents such as denosumab are widely prescribed for the treatment of osteoporosis and are also used in patients with multiple myeloma and metastatic breast or prostate cancer for avoiding bone reabsorption and fractures that result in increased morbidity-mortality among such individuals. We made a bibliographic search to analyze the concept, diagnosis and the different classifications for bisphosphonate-associated osteonecrosis of the jaws. Osteonecrosis of the jaws (ONJ) is an important complication of exposure to BPs or other antiresorptive agents, and although its prevalence is low, it can pose management problems. The definition, diagnosis and classification of osteonecrosis have evolved since Marx reported the first cases in 2003. The present study offers a literature review and update on the existing diagnostic methods and classification of the disorder, with a view to facilitating earlier and more effective treatment.

  5. Classification decision tree in CT imaging: application to the differential diagnosis of solitary pulmonary nodules

    International Nuclear Information System (INIS)

    Ma Hongxia; Guo Yulin; Wang Qiuping; Qiang Yongqian; Liu Min; Guo Xiaojuan; Guo Youmin; Chen Qihang

    2008-01-01

    Objective: To establish classification and regression tree (CART) for differentiating benign from malignant solitary pulmonary nudules (SPN). Methods: One hundred and sixteen consecutive cases with 116 solitary pulmonary nodules, which finally were pathologically proven 54 malignant nodules and 62 benign nodules, were prospectively registered in this research. Twelve clinical presentations and 22 CT findings were collected as predictors. A classification tree was established to distinguish benign SPNs from malignant ones. In the observer test, two groups (one made of junior radiologists and one of senior radiologists) were independently presented with clinical information and CT images without knowing the pathologic and machine-learning results. Performance of observers and CART were compared by receiver operating characteristic analysis. Results: Receiver operating characteristic analysis showed areas under the curve of CART, senior radiologists and junior radiologists respectively were 0.910±0.029, 0.827±0.038, 0.612±0.052. Difference between areas(DBF) between CART and junior radiologists was 0.297(P<0.01). DBF between CART and senior radiologists was 0.083 (P<0.05). DBF between senior and junior radiologists was 0.214 (P<0.01). CART showed a best diagnostic efficiency, followed by junior radiologists, and then senior radiologists. Conclusion: Our data mining techniques using CART prove a high accuracy in differentiating benign from malignant pulmonary nodules based on clinical variables and CT findings. It will be a potentially useful tool in further application of artificial intelligence in the imaging diagnosis. (authors)

  6. Talar Fractures and Dislocations: A Radiologist's Guide to Timely Diagnosis and Classification.

    Science.gov (United States)

    Melenevsky, Yulia; Mackey, Robert A; Abrahams, R Brad; Thomson, Norman B

    2015-01-01

    The talus, the second largest tarsal bone, has distinctive imaging characteristics and injury patterns. The predominantly extraosseous vascular supply of the talus predisposes it to significant injury in the setting of trauma. In addition, the lack of muscular attachments and absence of a secondary blood supply can lead to subsequent osteonecrosis. Although talar fractures account for less than 1% of all fractures, they commonly result from high-energy trauma and may lead to complications and long-term morbidity if not recognized and managed appropriately. While initial evaluation is with foot and ankle radiographs, computed tomography (CT) is often performed to evaluate the extent of the fracture, displacement, comminution, intra-articular extension, and associated injuries. Talar fractures are divided by anatomic region: head, neck, and body. Talar head fractures can be treated conservatively if nondisplaced, warranting careful radiographic and CT evaluation to assess rotation, displacement, and extension into the neck. The modified Hawkins-Canale classification of talar neck fractures is most commonly used due to its simplicity, usefulness in guiding treatment, and prognostic value, as it correlates associated malalignment with risk of subsequent osteonecrosis. Isolated talar body fractures may be more common than previously thought. The Sneppen classification further divides talar body fractures into osteochondral talar dome, lateral and posterior process, and shear and crush comminuted central body fractures. Crush comminuted central body fractures carry a poor prognosis due to nonanatomic reduction, bone loss, and subsequent osteonecrosis. Lateral process fractures can be radiographically occult and require a higher index of suspicion for successful diagnosis. Subtalar dislocations are often accompanied by fractures, necessitating postreduction CT. Familiarity with the unique talar anatomy and injury patterns is essential for radiologists to facilitate

  7. In vivo subsite classification and diagnosis of oral cancers using Raman spectroscopy

    Directory of Open Access Journals (Sweden)

    Aditi Sahu

    2016-09-01

    Full Text Available Oral cancers suffer from poor disease-free survival rates due to delayed diagnosis. Noninvasive, rapid, objective approaches as adjuncts to visual inspection can help in better management of oral cancers. Raman spectroscopy (RS has shown potential in identification of oral premalignant and malignant conditions and also in the detection of early cancer changes like cancer-field-effects (CFE at buccal mucosa subsite. Anatomic differences between different oral subsites have also been reported using RS. In this study, anatomical differences between subsites and their possible influence on healthy vs pathological classification were evaluated on 85 oral cancer and 72 healthy subjects. Spectra were acquired from buccal mucosa, lip and tongue in healthy, contralateral (internal healthy control, premalignant and cancer conditions using fiber-optic Raman spectrometer. Mean spectra indicate predominance of lipids in healthy buccal mucosa, contribution of both lipids and proteins in lip while major dominance of protein in tongue spectra. From healthy to tumor, changes in protein secondary-structure, DNA and heme-related features were observed. Principal component linear discriminant analysis (PC-LDA followed by leave-one-out-cross-validation (LOOCV was used for data analysis. Findings indicate buccal mucosa and tongue are distinct entities, while lip misclassifies with both these subsites. Additionally, the diagnostic algorithm for individual subsites gave improved classification efficiencies with respect to the pooled subsites model. However, as the pooled subsites model yielded 98% specificity and 100% sensitivity, this model may be more useful for preliminary screening applications. Large-scale validation studies are a pre-requisite before envisaging future clinical applications.

  8. Shunting of recurrent post-traumatic syringomyelia into the fourth ventricle: a case report

    Directory of Open Access Journals (Sweden)

    Lin Chih-Lung

    2010-07-01

    Full Text Available Abstract Introduction Post-traumatic syringomyelia is a progressive degenerative disorder that is a well-recognized sequela of spinal cord injury. There is currently no optimal intervention capable of producing satisfactory long-term clinical results. Case presentation In this report, we present a 55-year-old Asian man with recurrent syringomyelia after shunt treatment. The syrinx extended from the thoracic cord into the medulla. We used a silicone tube to create a channel connecting the syrinx cavity directly to the fourth ventricle. The patient made a good recovery and follow-up magnetic resonance imaging revealed a considerable diminution in the size of the syrinx. Conclusions We present a new approach that has the potential to improve the outcome of patients with recurrent post-traumatic syringomyelia, who cannot be treated by conventional methods.

  9. Choroid Plexus in the Central Canal of the Spinal Cord Causing Recurrent Syringomyelia.

    Science.gov (United States)

    Shtaya, Anan; Sadek, Ahmed-Ramadan; Nicoll, James A R; Nader-Sepahi, Ali

    2018-03-01

    Syringomyelia is a fluid-filled cavitation within the substance of the spinal cord. This condition usually follows a primary pathology that disrupts the normal cerebrospinal fluid circulation or disturbs the microcirculation and cytoarchitecture of the spinal cord parenchyma. However, an etiology of recurrent syringomyelia resulting from an ectopic choroid plexus (CP) has not been discussed. Ectopic CP rests may be found within the central nervous system. Although there has been a single report, describing ectopic intramedullary spinal cord CP, to our knowledge, extra-cranial nonmalignant CP in the central canal of the spinal cord has not been reported. We report CP in the central canal of the spinal cord in a 23-year-old male patient who had developmental delay and diabetes mellitus type I who presented with dissociated sensory changes and muscle wastage predominantly on the right upper and lower limbs. Magnetic resonance imaging demonstrated a multiloculated spinal cord syringomyelia stretching from cervical (C3) to the conus medullaris causing recurrent neurologic deficits. A biopsy of the central canal spinal cord lesion revealed CP. Decompression and syringosubarachnoid shunt insertion stabilized the patient's neurology. Our illustrative case reveals the presence of CP in the central canal of the spinal cord that may suggest a role in the etiology of recurrent syringomyelia. Although management poses a challenge to neurosurgeons, prompt decompression and shunting of the syringomyelia remains a favorable approach with acceptable outcomes. Further investigation into the pathophysiology of central canal CP ectopic causing recurrent syringomyelia and its correlation with spinal cord development may help future treatments. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. Morphologic classification of ductal breast tumors on ultrasound : differential diagnosis of benign and malignant tumors

    International Nuclear Information System (INIS)

    Won, Mi Sook; Chung, Soo Young; Yang, Ik; Lee, Yul; Park, Hai Jung; Lee, Myoung Hwan; Yoon, In Sook; Koh, Mi Gyoung

    1997-01-01

    To evaluate the morphologic differential diagnosis of benign and malignant ductal breast tumors, as seen on US US findings in 29 pathologically proven cases of ductal breast tumor were retrospectively reviewed. All patients were female and their mean age was 42 years. Nineteen tumors were benign and ten were malignant, and all ductal or cystic lesions showed solid masses. According to the location of the mural nodule, we classified the sonographic appearance of these tumors into three types:intraductal, intracystic and amorphic. The intraductal type was divided into three subtypes:incompletely obstructive, completely obstructive and multiple mural nodules. For the intracystic type, too, three subtypes were designated:the intracystic mural nodule (mural cyst), intracystic mural nodule with the duct (mural cyst+duct) and intracystic multiple mural nodules. The amorphic type is defined as an atypical ductal tumor with the mural nodule extending into adjacent parenchyma. The margin of the duct or cyst was smooth in 68.4% of benign, and irregular in 90% of malignant ductal tumors. Internal echogeneity of the duct or cyst usually showed homogeneity in both benign and malignant tumors. 73.7% of tumors connecting the duct were benign and 50% were malignant. In benign tumors, 52.6% of mural nodule had an irregular margin, while in malignant tumors, the corresponding proportion was 100%;both types usually showed heterogeneous hypoechogeneity. Among benign tumors, the most common morphologic type was the intraductal incompletely obstructive subtype (36.8%);among those that were malignant, the amorphic type was most common, accounting for 40% of tumors. No amorphic type was benign and no incompletely obstructive subtype was malignant. When ductal breast tumors are morphologically classified on the basis of sonographic findings, the intraductal incompletely obstructive subtype suggests benignancy, and the amorphic type, malignancy. The morphologic classification of ductal

  11. The effect of respiratory scoring on the diagnosis and classification of sleep disordered breathing in chronic heart failure.

    Science.gov (United States)

    Ward, Neil R; Roldao, Vitor; Cowie, Martin R; Rosen, Stuart D; McDonagh, Theresa A; Simonds, Anita K; Morrell, Mary J

    2013-09-01

    To evaluate the effect of respiratory scoring criteria on diagnosis and classification of sleep disordered breathing (SDB) in chronic heart failure (CHF). Cross-sectional observational study. Heart failure and general cardiology clinics at two London hospitals. One hundred eighty stable patients with CHF and a median age of 69.6 y, 86% male. SDB was diagnosed by polysomnography. The apnea-hypopnea index (AHI) was initially scored using a conservative hypopnea definition of a ≥ 50% decrease in nasal airflow with a ≥ 4% oxygen desaturation. The AHI was rescored with hypopnea defined according to the American Academy of Sleep Medicine (AASM) alternative scoring rule, requiring an associated ≥ 3% oxygen desaturation or arousal. SDB was defined as AHI ≥ 15/h. Diagnosis and classification of SDB as obstructive sleep apnea (OSA) or central sleep apnea (CSA) with each rule were compared. The effect of mixed apneas on classification of SDB as CSA or OSA was also investigated. Median AHI increased from 9.3/h to 13.8/h (median difference 4.6/h) when the AASM alternative rule was used to score hypopneas. SDB prevalence increased from 29% to 46% with the alternative scoring rule (P sleep disordered breathing in chronic heart failure but do not alter the classification as obstructive sleep apnea or central sleep apnea. Standardization of hypopnea scoring rules is important to ensure consistency in diagnosis of sleep disordered breathing in chronic heart failure patients.

  12. Fused man-machine classification schemes to enhance diagnosis of breast microcalcifications

    Science.gov (United States)

    Andreadis, Ioannis; Sevastianos, Chatzistergos; George, Spyrou; Konstantina, Nikita

    2017-11-01

    Computer aided diagnosis (CAD x ) approaches are developed towards the effective discrimination between benign and malignant clusters of microcalcifications. Different sources of information are exploited, such as features extracted from the image analysis of the region of interest, features related to the location of the cluster inside the breast, age of the patient and descriptors provided by the radiologists while performing their diagnostic task. A series of different CAD x schemes are implemented, each of which uses a different category of features and adopts a variety of machine learning algorithms and alternative image processing techniques. A novel framework is introduced where these independent diagnostic components are properly combined according to features critical to a radiologist in an attempt to identify the most appropriate CAD x schemes for the case under consideration. An open access database (Digital Database of Screening Mammography (DDSM)) has been elaborated to construct a large dataset with cases of varying subtlety, in order to ensure the development of schemes with high generalization ability, as well as extensive evaluation of their performance. The obtained results indicate that the proposed framework succeeds in improving the diagnostic procedure, as the achieved overall classification performance outperforms all the independent single diagnostic components, as well as the radiologists that assessed the same cases, in terms of accuracy, sensitivity, specificity and area under the curve following receiver operating characteristic analysis.

  13. Fused man-machine classification schemes to enhance diagnosis of breast microcalcifications

    International Nuclear Information System (INIS)

    Andreadis, Ioannis; Sevastianos, Chatzistergos; Konstantina, Nikita; George, Spyrou

    2017-01-01

    Computer aided diagnosis (CAD x ) approaches are developed towards the effective discrimination between benign and malignant clusters of microcalcifications. Different sources of information are exploited, such as features extracted from the image analysis of the region of interest, features related to the location of the cluster inside the breast, age of the patient and descriptors provided by the radiologists while performing their diagnostic task. A series of different CAD x schemes are implemented, each of which uses a different category of features and adopts a variety of machine learning algorithms and alternative image processing techniques. A novel framework is introduced where these independent diagnostic components are properly combined according to features critical to a radiologist in an attempt to identify the most appropriate CAD x schemes for the case under consideration. An open access database (Digital Database of Screening Mammography (DDSM)) has been elaborated to construct a large dataset with cases of varying subtlety, in order to ensure the development of schemes with high generalization ability, as well as extensive evaluation of their performance. The obtained results indicate that the proposed framework succeeds in improving the diagnostic procedure, as the achieved overall classification performance outperforms all the independent single diagnostic components, as well as the radiologists that assessed the same cases, in terms of accuracy, sensitivity, specificity and area under the curve following receiver operating characteristic analysis. (paper)

  14. CLASSIFICATION AND ALGORITHM FOR DIAGNOSIS AND TREATMENT OF HIP PROSTHETIC JOINT INFECTION

    Directory of Open Access Journals (Sweden)

    T. Winkler

    2016-01-01

    Full Text Available Prosthetic joint infection (PJI is the second common reason for revision surgery of the hip joint prosthesis. The rate of hip PJI is about 1% after primary surgery and it goes up to 4% or higher after revision surgery. In most cases, the main cause of this complication is an intraoperative bacterial contamination, rarer is a haematogenic one. An up-to-date diagnostic approach and clearly defined treatment strategy are required for the successful therapy of PJI. Based on the analysis of the scientific literature and own experience, an algorithm for diagnosis and treatment of this complication is proposed. A thoroughly obtained case history plays a predominant role in the diagnosis of PJI. Lack of the increased serum C-reactive protein cannot be considered as an exclusion criterion because in some cases, especially chronic infection, it can be within the normal range. Bacteriology lab tests of periprosthetic tissue biopsies and synovial fluid is the gold standard for the diagnosis. Novel methods such as ultrasound debridement of the removed prosthetic components have allowed to substantially increase the diagnostic sensitivity of bacteriology tests. This led to the discovery of PJI in some cases which before that were regarded as aseptic loosening. Visualization methods including MRI and scintigraphy play only a secondary role. The authors propose the classification of PJI for further determination of the treatment strategy which takes into account parameters such as biofilm maturity, prosthesis stability, the type of pathogen and soft tissue state for the decision on the treatment strategy. While desire to retain the implant is only justified in case of the immature biofilm, in most cases the infection can be cured only after the replacement of endoprosthesis. According to the proposed algorithm, patients undergo one- or two-stage procedure with a short or long interval. Antibiotics that are active against biofilm pathogens play an important role

  15. Syringomyelia following tuberculous meningitis. Report of three cases diagnosed by MR imaging

    Energy Technology Data Exchange (ETDEWEB)

    Tsuchiya, Kazuhiro; Takeshita, Koji; Makita, Kozo; Furui, Shigeru; Takenaka, Eiichi

    1988-11-01

    We present three cases with syringomyelia after tuberculous meningitis. The MR findings suggested the syrinx was formed by blockage of the CSF flow at the outlets of the fourth ventricle. We consider this complication is not a rare condition following tuberculous meningitis.

  16. A rat model of chronic syringomyelia induced by epidural compression of the lumbar spinal cord.

    Science.gov (United States)

    Lee, Ji Yeoun; Kim, Shin Won; Kim, Saet Pyoul; Kim, Hyeonjin; Cheon, Jung-Eun; Kim, Seung-Ki; Paek, Sun Ha; Pang, Dachling; Wang, Kyu-Chang

    2017-10-01

    OBJECTIVE There has been no established animal model of syringomyelia associated with lumbosacral spinal lipoma. The research on the pathophysiology of syringomyelia has been focused on Chiari malformation, trauma, and inflammation. To understand the pathophysiology of syringomyelia associated with occult spinal dysraphism, a novel animal model of syringomyelia induced by chronic mechanical compression of the lumbar spinal cord was created. METHODS The model was made by epidural injection of highly concentrated paste-like kaolin solution through windows created by partial laminectomy of L-1 and L-5 vertebrae. Behavioral outcome in terms of motor (Basso-Beattie-Bresnahan score) and urinary function was assessed serially for 12 weeks. Magnetic resonance images were obtained in some animals to confirm the formation of a syrinx and to monitor changes in its size. Immunohistochemical studies, including analysis for glial fibrillary acidic protein, NeuN, CC1, ED-1, and caspase-3, were done. RESULTS By 12 weeks after the epidural compression procedure, syringomyelia formation was confirmed in 85% of the rats (34 of 40) on histology and/or MRI. The syrinx cavities were found rostral to the epidural compression. Motor deficit of varying degrees was seen immediately after the procedure in 28% of the rats (11 of 40). In 13 rats (33%), lower urinary tract dysfunction was seen. Motor deficit improved by 5 weeks after the procedure, whereas urinary dysfunction mostly improved by 2 weeks. Five rats (13%, 5 of 40) died 1 month postoperatively or later, and 3 of the 5 had developed urinary tract infection. At 12 weeks after the operation, IHC showed no inflammatory process, demyelination, or accelerated apoptosis in the spinal cords surrounding the syrinx cavities, similar to sham-operated animals. CONCLUSIONS A novel experimental model for syringomyelia by epidural compression of the lumbar spinal cord has been created. The authors hope that it will serve as an important research

  17. Pathological diagnosis and classification of lung cancer in small biopsies and cytology: strategic management of tissue for molecular testing.

    Science.gov (United States)

    Travis, William D; Rekhtman, Natasha

    2011-02-01

    Standardized lung cancer classifications by the World Health Organization have traditionally been based on the histological characteristics of resected tumors with little guidance about diagnosis based on small biopsies and cytology. The focus has mainly been on the separation of small-cell lung carcinoma (SCLC) and non-small-cell lung carcinoma (NSCLC). Until recently there have been no therapeutic implications to further classification of NSCLC, so little attention has historically been given to the distinction of adenocarcinoma and squamous cell carcinoma in these small tissue samples. This situation has changed dramatically in recent years with the discovery of several therapeutic options that are only available to patients with adenocarcinoma or NSCLC, not otherwise specified (NSCLC-NOS), rather than squamous cell carcinoma. Therefore this article reviews new criteria and terminology recently proposed by the new International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) lung adenocarcinoma classification. This includes recommendation for use of special stains as an aid to diagnosis, particularly in the setting of poorly differentiated tumors that do not show clear differentiation by light microscopy. The need for every institution to develop a multidisciplinary strategy to obtain these small specimens and process them not only for diagnosis but also for molecular testing is emphasized. © Thieme Medical Publishers.

  18. Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia: a comparison of two classification schemes with respect to the segmentation quality

    Science.gov (United States)

    Krappe, Sebastian; Benz, Michaela; Wittenberg, Thomas; Haferlach, Torsten; Münzenmayer, Christian

    2015-03-01

    The morphological analysis of bone marrow smears is fundamental for the diagnosis of leukemia. Currently, the counting and classification of the different types of bone marrow cells is done manually with the use of bright field microscope. This is a time consuming, partly subjective and tedious process. Furthermore, repeated examinations of a slide yield intra- and inter-observer variances. For this reason an automation of morphological bone marrow analysis is pursued. This analysis comprises several steps: image acquisition and smear detection, cell localization and segmentation, feature extraction and cell classification. The automated classification of bone marrow cells is depending on the automated cell segmentation and the choice of adequate features extracted from different parts of the cell. In this work we focus on the evaluation of support vector machines (SVMs) and random forests (RFs) for the differentiation of bone marrow cells in 16 different classes, including immature and abnormal cell classes. Data sets of different segmentation quality are used to test the two approaches. Automated solutions for the morphological analysis for bone marrow smears could use such a classifier to pre-classify bone marrow cells and thereby shortening the examination duration.

  19. Logistic Regression-Based Trichotomous Classification Tree and Its Application in Medical Diagnosis.

    Science.gov (United States)

    Zhu, Yanke; Fang, Jiqian

    2016-11-01

    The classification tree is a valuable methodology for predictive modeling and data mining. However, the current existing classification trees ignore the fact that there might be a subset of individuals who cannot be well classified based on the information of the given set of predictor variables and who might be classified with a higher error rate; most of the current existing classification trees do not use the combination of variables in each step. An algorithm of a logistic regression-based trichotomous classification tree (LRTCT) is proposed that employs the trichotomous tree structure and the linear combination of predictor variables in the recursive partitioning process. Compared with the widely used classification and regression tree through the applications on a series of simulated data and 2 real data sets, the LRTCT performed better in several aspects and does not require excessive complicated calculations. © The Author(s) 2016.

  20. [Diagnosis and classification of headache and temporomandibular disorders, a new opportunity].

    Science.gov (United States)

    Koole, P; Koole, R

    2011-05-01

    Patients with orofacial pains are generally treated by physicians. A small number of patients are treated for pain in the temporomandibular joint, the masticatory and the neck muscles, by dentists and orofacial surgeons. Among half of the patients being treated in neurological headache clinics, the temporomandibular joint and the masticatory muscles are the source of the pain. In order to achieve better research and a classification, the International Headache Society, consisting largely of neurologists, developed a classification system. A comparable development occurred among oral health specialists. Employing these 2 methods with the same patients leads to different diagnoses and treatments. Both the International Classification of Headache Disorders II and the Research Diagnostic Criteria for Temporomandibular Disorders are being revised. This creates the opportunity to establish a single classification for these orofacial pains, preferably within the new International Classification of Headache Disorders.

  1. Surgical Management of Syringomyelia Associated with Spinal Adhesive Arachnoiditis, a Late Complication of Tuberculous Meningitis: A Case Report.

    Science.gov (United States)

    Lee, Jun Seok; Song, Geun Sung; Son, Dong Wuk

    2017-04-01

    Syringomyelia associated with tuberculous meningitis is an extremely rare condition. Only a few studies have reported clinical experience with syringomyelia as a late complication of tuberculous meningitis. Twenty-six years after a tuberculous meningitis episode, a 44-year-old man presented with progressively worsening spastic paresis of the lower limbs and impaired urinary function for 2 years. Radiological examination revealed syringomyelia extending from the level of C2 to T9 and arachnoiditis with atrophy of the spinal cord between C2 and T3. We performed laminectomy from C7 to T1, dissected the arachnoid adhesion and placed a syringo-pleural shunt via keyhole myelotomy. One year after the operation, his neurological condition improved. The postoperative control magnetic resonance imaging revealed the correctly located shunt and significantly diminished syringomyelia cavities. We aim to discuss the mechanism of syrinx formation following tuberculous meningitis and to share our surgical therapeutic experience with this rare disease entity.

  2. Classification

    Science.gov (United States)

    Oza, Nikunj C.

    2011-01-01

    A supervised learning task involves constructing a mapping from input data (normally described by several features) to the appropriate outputs. Within supervised learning, one type of task is a classification learning task, in which each output is one or more classes to which the input belongs. In supervised learning, a set of training examples---examples with known output values---is used by a learning algorithm to generate a model. This model is intended to approximate the mapping between the inputs and outputs. This model can be used to generate predicted outputs for inputs that have not been seen before. For example, we may have data consisting of observations of sunspots. In a classification learning task, our goal may be to learn to classify sunspots into one of several types. Each example may correspond to one candidate sunspot with various measurements or just an image. A learning algorithm would use the supplied examples to generate a model that approximates the mapping between each supplied set of measurements and the type of sunspot. This model can then be used to classify previously unseen sunspots based on the candidate's measurements. This chapter discusses methods to perform machine learning, with examples involving astronomy.

  3. Neuropathic arthropathy progressing with multiple joint involvement in the upper extremity due to syringomyelia and type I Arnold-Chiari malformation.

    Science.gov (United States)

    Nacir, Baris; Arslan Cebeci, S; Cetinkaya, E; Karagoz, A; Erdem, H R

    2010-05-01

    Neuropathic arthropathy (NA), known as Charcot neuroarthropathy, is a chronic, degenerative arthropathy and is associated with decreased sensory innervation. Numerous causes of this arthropathy have been described. Neuropathic joint, although first described by Charcot in tabes dorsalis in 1868, has subsequently been observed in a variety of conditions including syringomyelia, diabetes mellitus and peripheral nerve disorders. Syringomyelia is characterized by slow progression. The shoulders and elbows are the most frequently involved joints in syringomyelia. Involvement of the hand is a quite rarely seen in the cases of NA caused by syringomyelia. In this article, we reported a case of NA secondary to syringomyelia. The characteristics of this presented case is the presence of Arnold-Chiari malformation accompanying with syringomyelia and involvement of the shoulder, elbow and hand (multiple joint involvement).

  4. [Female sexual dysfunction: a systematic overview of classification, pathophysiology, diagnosis and treatment].

    Science.gov (United States)

    Marthol, H; Hilz, M J

    2004-03-01

    Sexual dysfunction is defined as "disturbances in sexual desire and in the psychophysiological changes that characterize the sexual response cycle and cause marked distress and interpersonal difficulty". The female sexual response cycle consists of three phases: desire, arousal, and orgasm. Various organs of the external and internal genitalia, e.g. vagina, clitoris, labia minora, vestibular bulbs, pelvic floor muscles and uterus, contribute to female sexual function. During sexual arousal, genital blood flow and sensation are increased. The vaginal canal is moistened (lubrication). During orgasm, there is rhythmical contraction of the uterus and pelvic floor muscles. Within the central nervous system, hypothalamic, limbic-hippocampal structures play a central role for sexual arousal. Sexual arousal largely depends on the sympathetic nervous system. Moreover, nonadrenergic/noncholinergic neurotransmitters (NANC), e.g. vasoactive intestinal polypeptide (VIP) and nitric oxide (NO), are involved in smooth muscle relaxation and enhancement of genital blood flow. Furthermore, various hormones may influence female sexual function. Estrogen has a significant role in maintaining vaginal mucosal epithelium as well as sensory thresholds and genital blood flow. Androgens primarily affect sexual desire, arousal, orgasm and the overall sense of well-being. The internationally accepted classification of female sexual dysfunction consists of hypoactive sexual desire disorders, sexual aversion disorders, sexual arousal disorders, orgasmic disorders and sexual pain disorders. Vascular insufficiency, e.g. due to atherosclerosis, and neurologic diseases, e.g. diabetic neuropathy, are major causes of sexual dysfunction. Additionally, sexual dysfunction may be due to changes in hormonal levels, medications with sexual side effects or of psychological origin. For the diagnosis of female sexual dysfunction, a detailed history should be taken initially, followed by a physical examination

  5. Segmentation and Classification of Bone Marrow Cells Images Using Contextual Information for Medical Diagnosis of Acute Leukemias.

    Directory of Open Access Journals (Sweden)

    Carolina Reta

    Full Text Available Morphological identification of acute leukemia is a powerful tool used by hematologists to determine the family of such a disease. In some cases, experienced physicians are even able to determine the leukemia subtype of the sample. However, the identification process may have error rates up to 40% (when classifying acute leukemia subtypes depending on the physician's experience and the sample quality. This problem raises the need to create automatic tools that provide hematologists with a second opinion during the classification process. Our research presents a contextual analysis methodology for the detection of acute leukemia subtypes from bone marrow cells images. We propose a cells separation algorithm to break up overlapped regions. In this phase, we achieved an average accuracy of 95% in the evaluation of the segmentation process. In a second phase, we extract descriptive features to the nucleus and cytoplasm obtained in the segmentation phase in order to classify leukemia families and subtypes. We finally created a decision algorithm that provides an automatic diagnosis for a patient. In our experiments, we achieved an overall accuracy of 92% in the supervised classification of acute leukemia families, 84% for the lymphoblastic subtypes, and 92% for the myeloblastic subtypes. Finally, we achieved accuracies of 95% in the diagnosis of leukemia families and 90% in the diagnosis of leukemia subtypes.

  6. Segmentation and Classification of Bone Marrow Cells Images Using Contextual Information for Medical Diagnosis of Acute Leukemias.

    Science.gov (United States)

    Reta, Carolina; Altamirano, Leopoldo; Gonzalez, Jesus A; Diaz-Hernandez, Raquel; Peregrina, Hayde; Olmos, Ivan; Alonso, Jose E; Lobato, Ruben

    2015-01-01

    Morphological identification of acute leukemia is a powerful tool used by hematologists to determine the family of such a disease. In some cases, experienced physicians are even able to determine the leukemia subtype of the sample. However, the identification process may have error rates up to 40% (when classifying acute leukemia subtypes) depending on the physician's experience and the sample quality. This problem raises the need to create automatic tools that provide hematologists with a second opinion during the classification process. Our research presents a contextual analysis methodology for the detection of acute leukemia subtypes from bone marrow cells images. We propose a cells separation algorithm to break up overlapped regions. In this phase, we achieved an average accuracy of 95% in the evaluation of the segmentation process. In a second phase, we extract descriptive features to the nucleus and cytoplasm obtained in the segmentation phase in order to classify leukemia families and subtypes. We finally created a decision algorithm that provides an automatic diagnosis for a patient. In our experiments, we achieved an overall accuracy of 92% in the supervised classification of acute leukemia families, 84% for the lymphoblastic subtypes, and 92% for the myeloblastic subtypes. Finally, we achieved accuracies of 95% in the diagnosis of leukemia families and 90% in the diagnosis of leukemia subtypes.

  7. Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities

    Directory of Open Access Journals (Sweden)

    Yu-Chi Lin

    2011-02-01

    Full Text Available Due to the implicit characteristics of learning disabilities (LDs, the diagnosis of students with learning disabilities has long been a difficult issue. Artificial intelligence techniques like artificial neural network (ANN and support vector machine (SVM have been applied to the LD diagnosis problem with satisfactory outcomes. However, special education teachers or professionals tend to be skeptical to these kinds of black-box predictors. In this study, we adopt the rough set theory (RST, which can not only perform as a classifier, but may also produce meaningful explanations or rules, to the LD diagnosis application. Our experiments indicate that the RST approach is competitive as a tool for feature selection, and it performs better in term of prediction accuracy than other rulebased algorithms such as decision tree and ripper algorithms. We also propose to mix samples collected from sources with different LD diagnosis procedure and criteria. By pre-processing these mixed samples with simple and readily available clustering algorithms, we are able to improve the quality and support of rules generated by the RST. Overall, our study shows that the rough set approach, as a classification and knowledge discovery tool, may have great potential in playing an essential role in LD diagnosis.

  8. Classification of nasopharyngeal microvessels detected by narrow band imaging endoscopy and its role in the diagnosis of nasopharyngeal carcinoma.

    Science.gov (United States)

    Ni, Xiao-Guang; Zhang, Qing-Qing; Wang, Gui-Qi

    2017-05-01

    The new NBI classification of nasopharyngeal mucosal microvessels was helpful in differential diagnosis for benign and malignant lesions of the nasopharyngeal region. NBI endoscopy facilitates the detection of superficial nasopharyngeal lesions and might enable early diagnoses of NPC. To propose a new microvessel diagnostic classification using narrow band imaging (NBI) endoscopy and to investigate the role of an NBI classification in the diagnosis of nasopharyngeal carcinoma (NPC). Between January 2009 and December 2010, a total of 290 patients with a suspected nasopharyngeal tumor were enrolled in this study. The NBI endoscopic system was used to examine the nasopharynx. Each lesion was observed by NBI endoscopy and judged according to the detailed morphologic findings of epithelial microvessels. The superficial microvessel patterns were classified into five types (types I-V). The diagnostic effectiveness of NBI for benign and malignant nasopharyngeal lesions was evaluated. Approximately 93.5% (29/31) of lymphoid hyperplasia appeared as the type II microvessel pattern under NBI endoscopy, whereas 96.2% (51/53) of nasopharyngeal radiation-induced inflammation exhibited the type III or IV microvessel pattern. The characteristics of NPC under NBI endoscopy mainly appeared as a type V microvessel pattern (79.5%, 167/210), and the sensitivity, specificity, predictive value (PPV), and negative predictive value (NPV) of type V in the diagnosis of NPC were 79.5%, 91.3%, 96.0%, and 62.9%, respectively. NBI endoscopy could significantly improve the detection of superficial lesions (χ 2  =   12.789, p = .000).

  9. Initial diagnosis of anemia from sore mouth and improved classification of anemias by MCV and RDW in 30 patients.

    Science.gov (United States)

    Lu, Shin-Yu; Wu, Hong-Cheng

    2004-12-01

    Thirty patients with a wide range of sore mouth that led to the diagnosis of iron deficiency in 12 patients, pernicious anemia in 8 patients, combined deficiency of iron and vitamin B12 in 2 patients, and anemia of chronic disease in 8 patients were investigated. The oral signs and symptoms included glossitis, glossodynia, angular cheilitis, recurrent oral ulcer, oral candidosis, diffuse erythematous mucositis, and pale oral mucosa. The values of hemoglobin in 30 patients varied from normal to severe life-threatening levels, but none had developed generalized symptoms sufficiently advanced to arouse suspicions of anemia before they visited the Oral Medicine Clinic. The aim of this paper is to describe a retrospective study of 30 patients with oral changes as the initial manifestation of nutritional deficiency or anemia of chronic diseases. Improved diagnosis and classification of anemia based on the mean and heterogeneity of red cell size will be discussed.

  10. Syringomyelia secondary to cervical spondylosis: Case report and review of literature

    Directory of Open Access Journals (Sweden)

    Savitr Sastri Bhagavathula Venkata

    2014-01-01

    Full Text Available Syringomyelia secondary to cervical spondylosis is a rare entity to encounter in clinical practice. We discuss the case of a 53-year-old lady who presented with a syringomyelic syndrome and was found to have cervical spondylosis on imaging. Cine-MRI revealed an obstruction of cerebrospinal fluid (CSF flow in the cervical spinal subarachnoid space. Decompression of the same led to clinical and radiological improvement. There is a potential causal association between cervical spondylosis and syringomyelia. MRI CSF flow studies may help in deciding the course of treatment in such cases. A subset of patients with cervical spondylosis and concurrent spinal cord signal intensity changes may show reversal of the same following intervention.

  11. Anesthesia for a patient of acromesomelic dysplasia with associated hydrocephalus, Arnold Chiari malformation and syringomyelia.

    Science.gov (United States)

    Haldar, Rudrashish; Gyanesh, Prakhar; Samanta, Sukhen

    2013-10-01

    Acromesomelic dysplasias are autosomal recessive osteochondrodysplasias. Acromesomelic dysplasia Maroteaux-type (AMDM), also known as St Helena dysplasia, is of two types: The classical and the mild variety. About 50 cases of AMDM have been reported till date, most of them being the classical variety. There is scarcity of literature on anesthesia for such patients. We are reporting a case of general anesthetic management of AMDM, associated with hydrocephalus, Arnold Chiari malformation type-1 and syringomyelia. The patient was a 10-year-old short-statured boy who presented with symptomatic thoracic kyphoscoliosis, gibbus deformity and back pain. On examination, there was no neurological deficit. Radiology revealed thoracic kyphoscoliosis, mild ventriculomegaly and upper cervical syringomyelia. The patient underwent posterior fossa decompression in the prone position under general anesthesia. We will discuss the anesthetic considerations for such patients and review the pertinent literature.

  12. Anesthesia for a patient of acromesomelic dysplasia with associated hydrocephalus, Arnold Chiari malformation and syringomyelia

    Directory of Open Access Journals (Sweden)

    Rudrashish Haldar

    2013-01-01

    Full Text Available Acromesomelic dysplasias are autosomal recessive osteochondrodysplasias. Acromesomelic dysplasia Maroteaux-type (AMDM, also known as St Helena dysplasia, is of two types: The classical and the mild variety. About 50 cases of AMDM have been reported till date, most of them being the classical variety. There is scarcity of literature on anesthesia for such patients. We are reporting a case of general anesthetic management of AMDM, associated with hydrocephalus, Arnold Chiari malformation type-1 and syringomyelia. The patient was a 10-year-old short-statured boy who presented with symptomatic thoracic kyphoscoliosis, gibbus deformity and back pain. On examination, there was no neurological deficit. Radiology revealed thoracic kyphoscoliosis, mild ventriculomegaly and upper cervical syringomyelia. The patient underwent posterior fossa decompression in the prone position under general anesthesia. We will discuss the anesthetic considerations for such patients and review the pertinent literature.

  13. Syringomyelia in mucopolysaccharidosis type VI (Maroteaux-Lamy syndrome): imaging findings following bone marrow transplantation

    International Nuclear Information System (INIS)

    Hite, S.H.; Krivit, W.; Haines, S.J.; Whitley, C.B.

    1997-01-01

    We present the imaging findings in a patient with mucopolysaccharidosis (MPS) type VI (Maroteaux-Lamy syndrome) who developed holocord syringomyelia. This represents the only reported case of syrinx formation in a child with MPS VI. Clinical, neurologic and spinal magnetic resonance imaging findings are presented. The patient has maintained a stable clinical and neurologic course over the period following allogeneic bone marrow transplant. (orig.). With 3 figs

  14. Broad Categories for the Diagnosis of Eating Disorders (BCD-ED): An Alternative System for Classification

    OpenAIRE

    Walsh, B. Timothy; Sysko, Robyn

    2009-01-01

    Eating Disorder Not Otherwise Specified (EDNOS), a residual category in DSM-IV, is the most commonly used eating disorder diagnosis in clinical settings. However, the features of individuals with EDNOS are heterogeneous and difficult to characterize. A diagnostic scheme, termed Broad Categories for the Diagnosis of Eating Disorders (BCD-ED), is proposed to diminish use of the EDNOS category markedly while preserving the existing eating disorder categories. The BCD-ED scheme consists of three ...

  15. A Hybrid Computational Intelligence Approach Combining Genetic Programming And Heuristic Classification for Pap-Smear Diagnosis

    DEFF Research Database (Denmark)

    Tsakonas, Athanasios; Dounias, Georgios; Jantzen, Jan

    2001-01-01

    The paper suggests the combined use of different computational intelligence (CI) techniques in a hybrid scheme, as an effective approach to medical diagnosis. Getting to know the advantages and disadvantages of each computational intelligence technique in the recent years, the time has come...... are generated. Medical experts comment on the nature, the meaning and the usability of the acquired results....

  16. Feature driven classification of Raman spectra for real-time spectral brain tumour diagnosis using sound.

    Science.gov (United States)

    Stables, Ryan; Clemens, Graeme; Butler, Holly J; Ashton, Katherine M; Brodbelt, Andrew; Dawson, Timothy P; Fullwood, Leanne M; Jenkinson, Michael D; Baker, Matthew J

    2016-12-19

    Spectroscopic diagnostics have been shown to be an effective tool for the analysis and discrimination of disease states from human tissue. Furthermore, Raman spectroscopic probes are of particular interest as they allow for in vivo spectroscopic diagnostics, for tasks such as the identification of tumour margins during surgery. In this study, we investigate a feature-driven approach to the classification of metastatic brain cancer, glioblastoma (GB) and non-cancer from tissue samples, and we provide a real-time feedback method for endoscopic diagnostics using sound. To do this, we first evaluate the sensitivity and specificity of three classifiers (SVM, KNN and LDA), when trained with both sub-band spectral features and principal components taken directly from Raman spectra. We demonstrate that the feature extraction approach provides an increase in classification accuracy of 26.25% for SVM and 25% for KNN. We then discuss the molecular assignment of the most salient sub-bands in the dataset. The most salient sub-band features are mapped to parameters of a frequency modulation (FM) synthesizer in order to generate audio clips from each tissue sample. Based on the properties of the sub-band features, the synthesizer was able to maintain similar sound timbres within the disease classes and provide different timbres between disease classes. This was reinforced via listening tests, in which participants were able to discriminate between classes with mean classification accuracy of 71.1%. Providing intuitive feedback via sound frees the surgeons' visual attention to remain on the patient, allowing for greater control over diagnostic and surgical tools during surgery, and thus promoting clinical translation of spectroscopic diagnostics.

  17. EAACI/GA(2)LEN/EDF/WAO guideline: definition, classification and diagnosis of urticaria

    DEFF Research Database (Denmark)

    Zuberbier, T; Asero, R; Bindslev-Jensen, C

    2009-01-01

    (2)LEN), the European Dermatology Forum (EDF) and the World Allergy Organization (WAO). Urticaria is a frequent disease. The life-time prevalence for any subtype of urticaria is approximately 20%. Chronic spontaneous urticaria and other chronic forms of urticaria do not only cause a decrease...... in quality of life, but also affect performance at work and school and, as such, are members of the group of severe allergic diseases. This guideline covers the definition and classification of urticaria, taking into account the recent progress in identifying its causes, eliciting factors...

  18. Dogs attending primary-care practice in England with clinical signs suggestive of Chiari-like malformation/syringomyelia.

    Science.gov (United States)

    Sanchis-Mora, S; Pelligand, L; Thomas, C L; Volk, H A; Abeyesinghe, S M; Brodbelt, D C; Church, D B; Thomson, P C; McGreevy, P D; O'Neill, D G

    2016-10-29

    Chiari-like malformation/syringomyelia (CM/SM) in dogs describes a developmental disorder that can cause pain and reduced quality of life. This retrospective study aimed to report the period prevalence, clinical signs and risk factors for diagnosis of symptomatic CM/SM in the veterinary primary-care setting using a cross-sectional design. The study population included all dogs within the VetCompass Programme (September 1, 2009-June 13, 2014). Overall, the period prevalence of symptomatic CM/SM was 0.05 per cent (95 per cent CI 0.04 per cent to 0.06 per cent) for all breeds. The period prevalence in the Cavalier King Charles Spaniel (CKCS) was 1.6 per cent (95 per cent CI 1.2 to 2.06). Other breeds at increased odds included the King Charles Spaniel (KCS), Affenpinscher, Chihuahua and Pomeranian. Insured dogs had 4.6 times the odds (95 per cent CI 2.95 to 7.17) of having a diagnosis of CM/SM compared with uninsured dogs. Pain was the most commonly associated clinical sign (67 dogs, 72 per cent). Analgesics were prescribed to 72 (77.4 per cent) of the symptomatic dogs. Despite its low overall period prevalence, the high proportion of affected dogs identified with chronic pain suggests a significant welfare issue. Financial implications could impede the diagnostic process and lead to underestimation of the true prevalence. This study may help to inform clinicians about the clinical relevance and the need for improved awareness of clinical signs, particularly in high-risk breeds, to optimise the management of CM/SM in primary-care practice. British Veterinary Association.

  19. Differential Diagnosis of Breast Category 3 and 4 Nodules Through BI-RADS Classification in Conjunction with Shear Wave Elastography.

    Science.gov (United States)

    Wang, Min; Yang, Zhi; Liu, Can; Yan, Junhong; Zhang, Wenxiao; Sun, Jian; Cui, Guanghe

    2017-03-01

    Ultrasound (US) has become one of the important imaging methods for differentiating benign from malignant breast lesions. In 2013, the American College of Radiology published the fifth edition of the Breast Imaging-Reporting and Data System (BI-RADS). BI-RADS is a guide with recommendations for the standardization of breast imaging (US, mammography and magnetic resonance imaging) reports and for the auditing of centers employing such methods. Its objective is to standardize the nomenclature used in the reports. However, current US examinations are neither adequately sensitive nor sufficiently specific enough. The average Young's modulus was measured through shear wave elastography (SWE) to evaluate the diagnostic value of the BI-RADS classification in conjunction with SWE in differentiating BI-RADS 3 and 4 nodules. A total of 100 consecutive women with 126 breast lesions, including 65 benign and 61 malignant lesions, were included. The average Young's modulus of breast nodules and peri-nodule tissue (Emean1 and Emean2) was also determined through SWE. A receiver operating characteristic curve was drawn on the basis of pathologic results. The highest cut-off values were C1 and C2. At Emean1 > C1 or Emean2 > C2, BI-RADS 3 was increased to 4a and BI-RADS 4a was increased to 4b. At Emean1 ≤ C1 and Emean2 ≤ C2, BI-RADS 4b was decreased to 4a. Other BI-RADS classifications remained unchanged. BI-RADS 3 and 4a were considered benign. BI-RADS 4b and 4c were malignant. The area under the curve, sensitivity and specificity of the BI-RADS classification in conjunction with SWE were 0.952, 93.4% and 95.4%, respectively. The area under the curve, sensitivity and specificity of the original BI-RADS classification were 0.883, 82.0% and 87.7%, respectively. Differences were statistically significant (p = 0.028, Z-test). The diagnostic sensitivity and specificity were increased effectively. As a new method, BI-RADS classification in conjunction with SWE that

  20. Beyond dysfunction and threshold-based classification: a multidimensional model of personality disorder diagnosis.

    Science.gov (United States)

    Bornstein, Robert F; Huprich, Steven K

    2011-06-01

    An alternative dimensional model of personality disorder (PD) diagnosis that addresses several difficulties inherent in the current DSM conceptualization of PDs (excessive PD overlap and comorbidity, use of arbitrary thresholds to distinguish normal from pathological personality functioning, failure to capture variations in the adaptative value of PD symptoms, and inattention to the impact of situational influences on PD-related behaviors) is outlined. The model uses a set of diagnostician-friendly strategies to render PD diagnosis in three steps: (1) the diagnostician assigns every patient a single dimensional rating of overall level of personality dysfunction on a 50-point continuum; (2) the diagnostician assigns separate intensity and impairment ratings for each PD dimension (e.g., narcissism, avoidance, dependency); and (3) the diagnostician lists any personality traits-including PD-related traits-that enhance adaptation and functioning (e.g., histrionic theatricality, obsessive attention to detail). Advantages of the proposed model for clinicians and clinical researchers are discussed.

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

    DEFF Research Database (Denmark)

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

    2008-01-01

    the classification accuracy of LVQ with other classifiers (eg. SVM and Multi Layer Perceptron) for the same data set. Good agreement has been obtained between LVQ based classification of spectroscopy data and histopathology results which demonstrate the use of LVQ classifier in bladder cancer diagnosis.......In the present work we discuss the potential of recently developed classification algorithm, Learning Vector Quantization (LVQ), for the analysis of Laser Induced Fluorescence (LIF) Spectra, recorded from normal and malignant bladder tissue samples. The algorithm is prototype based and inherently...

  2. Pattern classification of ShearWave™ Elastography images for differential diagnosis between benign and malignant solid breast masses.

    Science.gov (United States)

    Tozaki, Mitsuhiro; Fukuma, Eisuke

    2011-12-01

    ShearWave™ Elastography (SWE) provides a quantitative measurement of tissue stiffness and may improve characterization of breast masses. However, the significance of Young's modulus measurements and appropriate SWE evaluation criteria has not been established yet. To assess the usefulness of the pattern classification and Young's modulus measurements in the differential diagnosis between benign and malignant solid breast masses. Ninety-six patients (age range 18-84 years, mean 54 years) with 100 solid breast masses who underwent tissue sampling after a US examination were analyzed. We tried to create a visual pattern classification based on the SWE images. After classifying the visual patterns, the Young's modulus of the lesions was measured in every case. It was possible to classify the images into four patterns by the visual evaluation: no findings (coded blue homogeneously; Pattern 1), vertical stripe pattern artifacts (Pattern 2), a localized colored area at the margin of the lesion (Pattern 3), and heterogeneously colored areas in the interior of the lesion (Pattern 4). There were 17 Pattern 1 lesions, 14 Pattern 2 lesions, 20 Pattern 3 lesions, and 49 Pattern 4 lesions. When Patterns 1 and 2 were assumed to be benign, and Patterns 3 and 4 were assumed to be malignant, the sensitivity and specificity were 91.3% (63/69) and 80.6% (25/31), respectively. The mean Young's modulus measurements of the benign and the malignant lesions were 42 kPa and 146 kPa, respectively (P Pattern 3. In Pattern 4, however, the Young's modulus of the benign lesions (50 kPa) was lower than the smallest Young's modulus of malignant lesions (61 kPa). The visual pattern classification and adding Young's modulus measurements may improve characterization of solid breast masses.

  3. Quantitative classification of HbA1C and blood glucose level for diabetes diagnosis using neural networks.

    Science.gov (United States)

    Saraoğlu, Hamdi Melih; Temurtas, Feyzullah; Altıkat, Sayit

    2013-12-01

    In this study, artificial neural network structures were used for the quantitative classification of Haemoglobin A1C and blood glucose level for diabetes diagnosis as a non-invasive measurement technique. The neural network structures make inferences from the relationship between the palm perspiration and blood data values. For this purpose, feed forward multilayer, Elman, and radial basis neural network structures were used. The quartz crystal microbalance type and humidity sensors were used for the detection of palm perspiration rates. Total 297 volunteer's data is used in this study. Three quarters of the data was used to train the neural networks. The remaining data were used as test data. The best results for the quantitative classification were obtained from the feed forward NN structure for the detection of the glucose and HbA1C level quantities. And, the performances of all neural networks for the HbA1C value were better than the performances of these neural networks for the glucose level.

  4. [Definition, classification, clinical diagnosis and prognosis of fibromyalgia syndrome : Updated guidelines 2017 and overview of systematic review articles].

    Science.gov (United States)

    Eich, W; Bär, K-J; Bernateck, M; Burgmer, M; Dexl, C; Petzke, F; Sommer, C; Winkelmann, A; Häuser, W

    2017-06-01

    The regular update of the guidelines on fibromyalgia syndrome, AWMF number 145/004, was scheduled for April 2017. The guidelines were developed by 13 scientific societies and 2 patient self-help organizations coordinated by the German Pain Society. Working groups (n =8) with a total of 42 members were formed balanced with respect to gender, medical expertise, position in the medical or scientific hierarchy and potential conflicts of interest. A systematic search of the literature from December 2010 to May 2016 was performed in the Cochrane library, MEDLINE, PsycINFO and Scopus databases. Levels of evidence were assigned according to the classification system of the Oxford Centre for Evidence-Based Medicine version 2009. The strength of recommendations was achieved by multiple step formalized procedures to reach a consensus. The guidelines were reviewed and approved by the board of directors of the societies engaged in the development of the guidelines. The clinical diagnosis of fibromyalgia syndrome can be established by the American College of Rheumatology (ACR) 1990 classification criteria (with examination of tender points) or without the examination of tender points by the modified preliminary diagnostic ACR 2010 or 2011 criteria.

  5. A Just-in-Time Learning based Monitoring and Classification Method for Hyper/Hypocalcemia Diagnosis.

    Science.gov (United States)

    Peng, Xin; Tang, Yang; He, Wangli; Du, Wenli; Qian, Feng

    2017-01-20

    This study focuses on the classification and pathological status monitoring of hyper/hypo-calcemia in the calcium regulatory system. By utilizing the Independent Component Analysis (ICA) mixture model, samples from healthy patients are collected, diagnosed, and subsequently classified according to their underlying behaviors, characteristics, and mechanisms. Then, a Just-in-Time Learning (JITL) has been employed in order to estimate the diseased status dynamically. In terms of JITL, for the purpose of the construction of an appropriate similarity index to identify relevant datasets, a novel similarity index based on the ICA mixture model is proposed in this paper to improve online model quality. The validity and effectiveness of the proposed approach have been demonstrated by applying it to the calcium regulatory system under various hypocalcemic and hypercalcemic diseased conditions.

  6. Polymerase chain reaction in diagnosis of Borrelia burgdorferi infections and studies on taxonomic classification

    DEFF Research Database (Denmark)

    Lebech, Anne-Mette

    2002-01-01

    a PCR assay for direct detection of B. burgdorferi DNA and to evaluate the diagnostic utility of PCR in clinical specimens from patients with Lyme borreliosis and (ii) to study the taxonomic classification of B. burgdorferi isolates and its implications for epidemiology and clinical presentation...... for PCR amplification and subsequent identification of B. burgdorferi specific sequences were established and used. For all assays the analytical sensitivity was a few genome copies using purified DNA as template. The efficacy of PCR was initially evaluated using tissue samples from experimentally...... infected gerbils in order to start with biological samples a priori known to contain B. burgdorferi. B. burgdorferi DNA was detectable in 88% of the specimens. Thus the diagnostic sensitivity of PCR was comparable to and even higher than in vitro culture. PCR was significantly more sensitive than...

  7. Breast Diagnosis: Concordance Analysis Between the BI-RADS Classification and Tsukuba Sonoelastography Score

    Science.gov (United States)

    DUMA, MARIA MAGDALENA; CHIOREAN, ANGELICA RITA; CHIOREAN, MARCO; BOLBOACA, SORANA DANIELA; FLOREA, MADALINA; FEIER, DIANA SORINA; RUSU, GEORGETA MIHAELA; SFRANGEU, SILVIU ANDREI

    2014-01-01

    Aims. To establish the correlations between the ultrasound (US) BI-RADS classification and Tsukuba elastography score when assessing breast lesions. To determine which type of breast lesion (BI-RADS category) would benefit most from an elastographic assessment. Patients and methods. The investigated sample of imaging comprised a number of 129 images belonging to 92 subjects examined with a Hitachi 8500 US device. Each lesion was assessed according to the BI-RADS and Tsukuba elastography score. Histopathology was obtained by means of percutaneous biopsy or post-surgery. Fibroadenoma-like lesions unchanged over a period of 3 years were considered benign. Results. The 1, 2 and BGR Tsukuba scores mostly correlated with BI-RADS II and III lesions such as cysts, hamartomas, lipomas, hematomas, non-palpable fibroadenomas. Palpable fibroadenomas initially included in BI-RADS IVa/b category, usually received benign elasticity scores (1 or 2), the exception being represented by a minority of cases of old, fibrotic or calcified lesions (elastic score 3 or 4). Non-specific BI-RADS IVa/b lesions, such as mastopathic nodules demonstrated rather soft, elastic properties on elastogram (score 1 or 2). The 4 and 5 Ueno-Itoh scores were predominantly correlated with BI-RADS IVc and V categories represented by high risk lesions (radial scar, papillomas, atypical epithelial ductal hyperplasia) and in situ or invasive carcinomas. Conclusions. Generally the BI-RADS classification correlates well with the Tsukuba elasticity score, the main exception being represented by fibrotic, calcified lesions which falsely appear more suspicious post-elastography. BI-RADS III and IV lesions would benefit most from an elastographic assessment, a low Tsukuba score allowing a less invasive approach, while a high score imposes histopathological evaluation. PMID:26528032

  8. Breast Diagnosis: Concordance Analysis Between the BI-RADS Classification and Tsukuba Sonoelastography Score.

    Science.gov (United States)

    Duma, Maria Magdalena; Chiorean, Angelica Rita; Chiorean, Marco; Bolboaca, Sorana Daniela; Florea, Madalina; Feier, Diana Sorina; Rusu, Georgeta Mihaela; Sfrangeu, Silviu Andrei

    2014-01-01

    To establish the correlations between the ultrasound (US) BI-RADS classification and Tsukuba elastography score when assessing breast lesions. To determine which type of breast lesion (BI-RADS category) would benefit most from an elastographic assessment. The investigated sample of imaging comprised a number of 129 images belonging to 92 subjects examined with a Hitachi 8500 US device. Each lesion was assessed according to the BI-RADS and Tsukuba elastography score. Histopathology was obtained by means of percutaneous biopsy or post-surgery. Fibroadenoma-like lesions unchanged over a period of 3 years were considered benign. The 1, 2 and BGR Tsukuba scores mostly correlated with BI-RADS II and III lesions such as cysts, hamartomas, lipomas, hematomas, non-palpable fibroadenomas. Palpable fibroadenomas initially included in BI-RADS IVa/b category, usually received benign elasticity scores (1 or 2), the exception being represented by a minority of cases of old, fibrotic or calcified lesions (elastic score 3 or 4). Non-specific BI-RADS IVa/b lesions, such as mastopathic nodules demonstrated rather soft, elastic properties on elastogram (score 1 or 2). The 4 and 5 Ueno-Itoh scores were predominantly correlated with BI-RADS IVc and V categories represented by high risk lesions (radial scar, papillomas, atypical epithelial ductal hyperplasia) and in situ or invasive carcinomas. Generally the BI-RADS classification correlates well with the Tsukuba elasticity score, the main exception being represented by fibrotic, calcified lesions which falsely appear more suspicious post-elastography. BI-RADS III and IV lesions would benefit most from an elastographic assessment, a low Tsukuba score allowing a less invasive approach, while a high score imposes histopathological evaluation.

  9. Patterns of Weakness, Classification of Motor Neuron Disease, and Clinical Diagnosis of Sporadic Amyotrophic Lateral Sclerosis.

    Science.gov (United States)

    Statland, Jeffrey M; Barohn, Richard J; McVey, April L; Katz, Jonathan S; Dimachkie, Mazen M

    2015-11-01

    When approaching a patient with suspected motor neuron disease (MND), the pattern of weakness on examination helps distinguish MND from other diseases of peripheral nerves, the neuromuscular junction, or muscle. MND is a clinical diagnosis supported by findings on electrodiagnostic testing. MNDs exist on a spectrum, from a pure lower motor neuron to mixed upper and lower motor neuron to a pure upper motor neuron variant. Amyotrophic lateral sclerosis (ALS) is a progressive mixed upper and lower motor neuron disorder, most commonly sporadic, which is invariably fatal. This article describes a pattern approach to identifying MND and clinical features of sporadic ALS. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. Broad Categories for the Diagnosis of Eating Disorders (BCD-ED): An Alternative System for Classification

    Science.gov (United States)

    Walsh, B. Timothy; Sysko, Robyn

    2009-01-01

    Eating Disorder Not Otherwise Specified (EDNOS), a residual category in DSM-IV, is the most commonly used eating disorder diagnosis in clinical settings. However, the features of individuals with EDNOS are heterogeneous and difficult to characterize. A diagnostic scheme, termed Broad Categories for the Diagnosis of Eating Disorders (BCD-ED), is proposed to diminish use of the EDNOS category markedly while preserving the existing eating disorder categories. The BCD-ED scheme consists of three broad categories, in a hierarchical relationship, consisting of: Anorexia Nervosa and Behaviorally Similar disorders, Bulimia Nervosa and Behaviorally Similar Disorders, Binge Eating Disorder and Behaviorally Similar Disorders, and a residual category of EDNOS. The advantages and disadvantages of adopting this scheme for DSM-V are considered, and issues relevant to BCD-ED are discussed. Specifically, we review the proportion of individuals with DSM-IV EDNOS that would be re-classified under the BCD-ED system, support for the hierarchy of the three categories, and the potential risk of “overdiagnosis.” PMID:19650083

  11. Clinical and radiological outcome of craniocervical osteo-dural decompression for Chiari I-associated syringomyelia.

    Science.gov (United States)

    Spena, Giannantonio; Bernucci, Claudio; Garbossa, Diego; Valfrè, Walter; Versari, Pietro

    2010-07-01

    The aim of this study was to analyze the long-term clinical and radiological outcomes of craniocervical decompression for patients affected by Chiari I-related syringomyelia. We performed a retrospective analysis of a group of patients affected by Chiari I-associated syringomyelia treated by craniocervical decompression (CCD). Surgical and technical aspects and preoperative factors predicting outcome were discussed. A total of 36 patients were reviewed. There were 17 men and 19 women (female/male ratio 1.11), and the mean age was 40.4 (range 18-68). The most important preoperative symptoms were related to myelopathy (pain, weakness, atrophy, spasticity, sensory loss, and dysesthesias). Most syrinxes were in the cervico-thoracic region (61.1%), and the majority of patients had tonsillar descent between the foramen magnum and C1. All patients underwent a craniectomy less than 3 cm in diameter followed by a duroplasty with dura substitute. No arachnoid manipulation was necessary. Three patients (8.1%) experienced cerebrospinal fluid leaks that resolved without complications. At a mean follow up of 40 months (range 16-72) 80.5% of patients exhibited improvement over their preoperative neurological examination while 11.1% stabilized. The syrinx shrank in 80.5% of patients. Chi-square test showed that preoperative syrinx extension and degree of tonsillar descent did not correlate with clinical and neuroradiological postoperative evolution. Treating syringomyelia associated in Chiari I malformation with CCD leads to a large percentage of patients with satisfying results and no irreversible complications.

  12. Transforaminal epidural steroid injections influence Mechanical Diagnosis and Therapy (MDT) pain response classification in candidates for lumbar herniated disc surgery.

    Science.gov (United States)

    van Helvoirt, Hans; Apeldoorn, Adri T; Knol, Dirk L; Arts, Mark P; Kamper, Steven J; van Tulder, Maurits W; Ostelo, Raymond W

    2016-04-27

    Prospective cohort study. Although lumbar radiculopathy is regarded as a specific diagnosis, the most effective treatment strategy is unclear. Commonly used treatments include transforaminal epidural steroid injections (TESIs) and Mechanical Diagnosis & Therapy (MDT), but no studies have investigated the effectiveness of this combination. MDT differentiates pain centralization (C) from non-centralization (NC), which indicates good vs. poor prognostic validity respectively. The main aims were 1) to determine changes in Mechanical Diagnosis and Therapy (MDT) pain response classifications after transforaminal epidural steroid injections (TESIs) in candidates for lumbar herniated disc surgery and 2) to evaluate differences in short and long term outcomes for patients with different pain response classifications. Candidates for lumbar herniated disc surgery were assessed with a MDT protocol and their pain response classified as centralizing or peripheralizing. For this study,only patients were eligible who showed a peripheralizing pain response at intake. All patients then received TESIs and were reassessed and classified using the MDT protocol, into groups according to pain response (resolved, centralizing, peripheralizing with less pain and peripheralising with severe pain). After receiving targeted treatment based on pain response after TESIs, ranging from advice, MDT or surgery, follow-up assessments were completed at discharge and at 12 months. The primary outcomes were disability (Roland-Morris Disability Questionnaire [RMDQ] for Sciatica), pain severity in leg (visual analogue scale [VAS], 0-100) and global perceived effect (GPE). Linear mixed-models were used to determine between-groups differences in outcome. A total of 77 patients with lumbar disc herniation and peripheralizing symptoms were included. Patients received an average of 2 (SD 0.7) TESIs. After TESIs, 17 patients (22%) were classified as peripheralizing with continuing severe pain.These patients

  13. Comparison of the prevalence of malnutrition diagnosis in head and neck, gastrointestinal and lung cancer patients by three classification methods

    Science.gov (United States)

    Platek, Mary E.; Popp KPf, Johann V.; Possinger, Candi S.; DeNysschen, Carol A.; Horvath, Peter; Brown, Jean K.

    2011-01-01

    Background Malnutrition is prevalent among patients within certain cancer types. There is lack of universal standard of care for nutrition screening, lack of agreement on an operational definition and on validity of malnutrition indicators. Objective In a secondary data analysis, we investigated prevalence of malnutrition diagnosis by three classification methods using data from medical records of a National Cancer Institute (NCI)-designated comprehensive cancer center. Interventions/Methods Records of 227 patients hospitalized during 1998 with head and neck, gastrointestinal or lung cancer were reviewed for malnutrition based on three methods: 1) physician diagnosed malnutrition related ICD-9 codes; 2) in-hospital nutritional assessment summary conducted by Registered Dietitians; and 3) body mass index (BMI). For patients with multiple admissions, only data from the first hospitalization was included. Results Prevalence of malnutrition diagnosis ranged from 8.8% based on BMI to approximately 26% of all cases based on dietitian assessment. Kappa coefficients between any methods indicated a weak (kappa=0.23, BMI and Dietitians and kappa=0.28, Dietitians and Physicians) to fair strength of agreement (kappa=0.38, BMI and Physicians). Conclusions Available methods to identify patients with malnutrition in an NCI designated comprehensive cancer center resulted in varied prevalence of malnutrition diagnosis. Universal standard of care for nutrition screening that utilizes validated tools is needed. Implications for Practice The Joint Commission on the Accreditation of Healthcare Organizations requires nutritional screening of patients within 24 hours of admission. For this purpose, implementation of a validated tool that can be used by various healthcare practitioners, including nurses, needs to be considered. PMID:21242767

  14. Laboratory diagnosis of anemia: are the old and new red cell parameters useful in classification and treatment, how?

    Science.gov (United States)

    Buttarello, M

    2016-05-01

    Anemia is a global problem affecting the population in both developing and developed countries, and there is a debate on which hemoglobin level limit should be used to define anemia in general population and particularly in the elderly. We present herein a laboratory approach to diagnosing the possible causes of anemia based on traditional and new erythroid parameters. In this article, we provide practical diagnostic algorithms that address to differential diagnosis of anemia. Based on both morphological and kinetic classifications, three patterns were considered: microcytic, normocytic, and macrocytic. Main interest is on the clinical usefulness of old and new parameters such as mean cell volume (MCV), red blood cell distribution width (RDW), hypochromic and microcytic erythrocytes, immature reticulocyte fraction (IRF), and some reticulocyte indices such as reticulocyte hemoglobin content and mean reticulocyte volume. The pathophysiologic basis is reviewed in terms of bone marrow erythropoiesis, evaluated by reticulocyte count (increased or normal/decreased) and IRF. The utility of reticulocyte indices in the diagnosis of iron-deficient erythropoiesis (absolute or functional) and in monitoring of response to treatment in nutritional anemia (iron and cobalamin) was also investigated. For each parameter, the availability, the possible clinical applications, and the limitations were evaluated. A discussion on intraindividual biological variation and its implication on the usefulness of conventional reference intervals and in longitudinal monitoring of the patients was also reported. Red cell parameters and reticulocyte indices play an essential role in differential diagnosis of anemia and in its treatment. More efforts are needed in harmonizing parameters whose results are still too different when produced by different analyzers. © 2016 John Wiley & Sons Ltd.

  15. Small vessel vasculitis History, classification, etiology, histopathology, clinic, diagnosis and treatment

    International Nuclear Information System (INIS)

    Iglesias Gamarra, Antonio; Matteson, Eric L; Restrepo, Jose Felix

    2007-01-01

    Small-vessel vasculitis is a convenient descriptor for a wide range of diseases characterized by vascular inflammation of the venules, capillaries, and/or arterioles with pleomorphic clinical manifestations. The classical clinical phenotype is leucocytoclastic vasculitis with palpable purpura, but manifestations vary widely depending upon the organs involved. Histopathologic examination in leucocytoclastic vasculitis reveals angiocentric segmental inflammation, fibrinoid necrosis, and a neutrophilic infiltrate around the blood vessel walls with erythrocyte extravasation. The etiology of small-vessel vasculitis is unknown in many cases, but in others, drugs, post viral syndromes, malignancy, primary vasculitis such as microscopic polyarteritis, and connective tissue disorders are associated, The diagnosis of small- vessel vasculitis relies on a thorough history and physical examination, as well as relevant antibody testing including antinuclear antibody and anti neutrophil cytoplasmic antibody, hepatitis B and C serologies, assessment of complement, immunoglobulins, blood count, serum creatinine liver function tests, urinalysis, radiographic imaging and biopsy. The treatment is based primarily on corticosteroid and immunosuppressive agents

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

    Science.gov (United States)

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

    2010-03-01

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

  17. The nicotinic acid balance in patients with syringomyelia in the course of deep X-ray therapy

    International Nuclear Information System (INIS)

    Oganesyan, A.A.

    1975-01-01

    Patients with syringomyelia showed a lowered nicotinic acid content, which deficit increased with deep x-ray therapy. Differences in the total dose of penetrating radiation did not seem to affect the providing of nicotinic acid to the patients' organism. (V.A.P.)

  18. Computer-aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours

    International Nuclear Information System (INIS)

    Way, Ted W.; Hadjiiski, Lubomir M.; Sahiner, Berkman; Chan, H.-P.; Cascade, Philip N.; Kazerooni, Ella A.; Bogot, Naama; Zhou Chuan

    2006-01-01

    We are developing a computer-aided diagnosis (CAD) system to classify malignant and benign lung nodules found on CT scans. A fully automated system was designed to segment the nodule from its surrounding structured background in a local volume of interest (VOI) and to extract image features for classification. Image segmentation was performed with a three-dimensional (3D) active contour (AC) method. A data set of 96 lung nodules (44 malignant, 52 benign) from 58 patients was used in this study. The 3D AC model is based on two-dimensional AC with the addition of three new energy components to take advantage of 3D information: (1) 3D gradient, which guides the active contour to seek the object surface (2) 3D curvature, which imposes a smoothness constraint in the z direction, and (3) mask energy, which penalizes contours that grow beyond the pleura or thoracic wall. The search for the best energy weights in the 3D AC model was guided by a simplex optimization method. Morphological and gray-level features were extracted from the segmented nodule. The rubber band straightening transform (RBST) was applied to the shell of voxels surrounding the nodule. Texture features based on run-length statistics were extracted from the RBST image. A linear discriminant analysis classifier with stepwise feature selection was designed using a second simplex optimization to select the most effective features. Leave-one-case-out resampling was used to train and test the CAD system. The system achieved a test area under the receiver operating characteristic curve (A z ) of 0.83±0.04. Our preliminary results indicate that use of the 3D AC model and the 3D texture features surrounding the nodule is a promising approach to the segmentation and classification of lung nodules with CAD. The segmentation performance of the 3D AC model trained with our data set was evaluated with 23 nodules available in the Lung Image Database Consortium (LIDC). The lung nodule volumes segmented by the 3D AC

  19. Headache in military service members with a history of mild traumatic brain injury: A cohort study of diagnosis and classification.

    Science.gov (United States)

    Finkel, Alan G; Yerry, Juanita A; Klaric, John S; Ivins, Brian J; Scher, Ann; Choi, Young S

    2017-05-01

    Introduction Headaches after concussion are highly prevalent, relatively persistent and are being treated like primary headaches, especially migraine. Methods We studied all new patients seen between August 2008 and December 2009 assessed by a civilian headache specialist at the TBI Center at Womack Army Medical Center, Fort Bragg, NC. We report sample demographics, injuries and headache characteristics, including time from injury to headache onset, detailed descriptions and International Classification of Headache Disorders second edition primary headache diagnosis type. Results A total of 95 soldiers reported 166 headaches. The most common injury cited was a blast (53.7%). Most subjects (76.8%) recalled the onset of any headache within 7 days of injury. The most commonly diagnosed headache was a continuous type with migraine features ( n = 31 (18.7%)), followed by chronic migraine (type 1.5.1, n = 14 (8.4%)), migraine with aura (type 1.2.1, n = 10 (6.0%)), hemicrania continua (type 4.7, n = 12 (7.2%)), chronic cluster (type 3.1.2, n = 6 (3.6%)) and headaches not otherwise classifiable (type 14.1, n = 5 (3.0%)) also present. The most clinically important was a continuous headache with migraine features. Conclusion We present a series of patients seen in a military treatment facility for headache diagnosis after concussion in whom we found migraine, as well as uncommon primary headache types, at frequencies that were much higher than expected.

  20. A multiple kernel classification approach based on a Quadratic Successive Geometric Segmentation methodology with a fault diagnosis case.

    Science.gov (United States)

    Honório, Leonardo M; Barbosa, Daniele A; Oliveira, Edimar J; Garcia, Paulo A Nepomuceno; Santos, Murillo F

    2018-01-11

    This work presents a new approach for solving classification and learning problems. The Successive Geometric Segmentation technique is applied to encapsulate large datasets by using a series of Oriented Bounding Hyper Box (OBHBs). Each OBHB is obtained through linear separation analysis and each one represents a specific region in a pattern's solution space. Also, each OBHB can be seen as a data abstraction layer and be considered as an individual Kernel. Thus, it is possible by applying a quadratic discriminant function, to assemble a set of nonlinear surfaces separating each desirable pattern. This approach allows working with large datasets using high speed linear analysis tools and yet providing a very accurate non-linear classifier as final result. The methodology was tested using the UCI Machine Learning repository and a Power Transformer Fault Diagnosis real scenario problem. The results were compared with different approaches provided by literature and, finally, the potential and further applications of the methodology were also discussed. Copyright © 2018 ISA. Published by Elsevier Ltd. All rights reserved.

  1. Automated morphological analysis of bone marrow cells in microscopic images for diagnosis of leukemia: nucleus-plasma separation and cell classification using a hierarchical tree model of hematopoesis

    Science.gov (United States)

    Krappe, Sebastian; Wittenberg, Thomas; Haferlach, Torsten; Münzenmayer, Christian

    2016-03-01

    The morphological differentiation of bone marrow is fundamental for the diagnosis of leukemia. Currently, the counting and classification of the different types of bone marrow cells is done manually under the use of bright field microscopy. This is a time-consuming, subjective, tedious and error-prone process. Furthermore, repeated examinations of a slide may yield intra- and inter-observer variances. For that reason a computer assisted diagnosis system for bone marrow differentiation is pursued. In this work we focus (a) on a new method for the separation of nucleus and plasma parts and (b) on a knowledge-based hierarchical tree classifier for the differentiation of bone marrow cells in 16 different classes. Classification trees are easily interpretable and understandable and provide a classification together with an explanation. Using classification trees, expert knowledge (i.e. knowledge about similar classes and cell lines in the tree model of hematopoiesis) is integrated in the structure of the tree. The proposed segmentation method is evaluated with more than 10,000 manually segmented cells. For the evaluation of the proposed hierarchical classifier more than 140,000 automatically segmented bone marrow cells are used. Future automated solutions for the morphological analysis of bone marrow smears could potentially apply such an approach for the pre-classification of bone marrow cells and thereby shortening the examination time.

  2. Intradural pathology and pathophysiology associated with Chiari I malformation in children and adults with and without syringomyelia.

    Science.gov (United States)

    Dlouhy, Brian J; Dawson, Jeffrey D; Menezes, Arnold H

    2017-12-01

    OBJECTIVE The pathophysiology underlying tonsillar herniation and CSF obstruction in Chiari malformation Type I (CM-I) is unclear, and the cause of CM-I-associated syringomyelia is not well understood. A better understanding of this pathophysiology is important for an improved treatment strategy. Therefore, the authors sought to identify, characterize, and examine the intradural pathology and CSF flow pathophysiology in the posterior fossa and at the level of the foramen magnum that occurs in the setting of CM-I. They determined the incidence of these intradural findings and assessed differences across age, with the degree of tonsillar herniation, and in the presence and absence of syringomyelia. METHODS A prospective database initiated in March 2003 recorded all intraoperative findings during surgical treatment of children and adults with CM-I with or without syringomyelia. A total of 389 surgeries for CM-I were performed in 379 patients between March 2003 and June 2016. A total of 109 surgeries were performed in 109 patients with CM-I (without osseoligamentous abnormalities) in whom both a posterior fossa extradural and intradural decompression with duraplasty was performed (first-time intradural procedures). Using a surgical microscope, intradural pathology and obstruction of CSF channels were identified and assessed. Student t-tests and Fisher's exact tests compared groups in a series of univariate analyses, followed by multivariate logistic regression. RESULTS The following intradural pathological entities were observed (prevalence noted in parentheses). These include those that did not obstruct CSF flow channels: opacified arachnoid (33.0%), thickened arachnoid (3.7%), ischemic and gliotic tonsils (40.4%), tonsillar cysts (0.9%), and inferior descent of the fourth ventricle and cervicomedullary junction (CMJ) (78.0%). The following intradural pathological entities were observed to obstruct CSF flow channels: medialized tonsils (100%), tonsil overlying and

  3. Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index.

    Science.gov (United States)

    Hareendranathan, Abhilash Rakkunedeth; Mabee, Myles; Punithakumar, Kumaradevan; Noga, Michelle; Jaremko, Jacob L

    2016-06-01

    The diagnosis of Developmental Dysplasia of the Hip (DDH) in infants is currently made primarily by ultrasound. However, two-dimensional ultrasound (2DUS) images capture only an incomplete portion of the acetabular shape, and the alpha and beta angles measured on 2DUS for the Graf classification technique show high inter-scan and inter-observer variability. This variability relates partly to the manual determination of the apex point separating the acetabular roof from the ilium during index measurement. This study proposes a new 2DUS image processing technique for semi-automated tracing of the bony surface followed by automatic calculation of two indices: a contour-based alpha angle (αA), and a new modality-independent quantitative rounding index (M). The new index M is independent of the apex point, and can be directly extended to 3D surface models. We tested the proposed indices on a dataset of 114 2DUS scans of infant hips aged between 4 and 183 days scanned using a 12MHz linear transducer. We calculated the manual alpha angle (αM), coverage, contour-based alpha angle and rounding index for each of the recordings and statistically evaluated these indices based on regression analysis, area under the receiver operating characteristic curve (AUC) and analysis of variance (ANOVA). Processing time for calculating αA and M was similar to manual alpha angle measurement, ∼30s per image. Reliability of the new indices was high, with inter-observer intraclass correlation coefficients (ICC) 0.90 for αA and 0.89 for M. For a diagnostic test classifying hips as normal or dysplastic, AUC was 93.0% for αA vs. 92.7% for αM, 91.6% for M alone, and up to 95.7% for combination of M with αM, αA or coverage. The rounding index provides complimentary information to conventional indices such as alpha angle and coverage. Calculation of the contour-based alpha angle and rounding index is rapid, shows potential to improve the reliability and accuracy of DDH diagnosis from 2DUS

  4. A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

    Science.gov (United States)

    Qiu, Yuchen; Yan, Shiju; Gundreddy, Rohith Reddy; Wang, Yunzhi; Cheng, Samuel; Liu, Hong; Zheng, Bin

    2017-01-01

    To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses. An image dataset involving 560 regions of interest (ROIs) extracted from digital mammograms was used. After down-sampling each ROI from 512×512 to 64×64 pixel size, we applied an 8 layer deep learning network that involves 3 pairs of convolution-max-pooling layers for automatic feature extraction and a multiple layer perceptron (MLP) classifier for feature categorization to process ROIs. The 3 pairs of convolution layers contain 20, 10, and 5 feature maps, respectively. Each convolution layer is connected with a max-pooling layer to improve the feature robustness. The output of the sixth layer is fully connected with a MLP classifier, which is composed of one hidden layer and one logistic regression layer. The network then generates a classification score to predict the likelihood of ROI depicting a malignant mass. A four-fold cross validation method was applied to train and test this deep learning network. The results revealed that this CAD scheme yields an area under the receiver operation characteristic curve (AUC) of 0.696±0.044, 0.802±0.037, 0.836±0.036, and 0.822±0.035 for fold 1 to 4 testing datasets, respectively. The overall AUC of the entire dataset is 0.790±0.019. This study demonstrates the feasibility of applying a deep learning based CAD scheme to classify between malignant and benign breast masses without a lesion segmentation, image feature computation and selection process.

  5. Computer-aided diagnosis of lung cancer: the effect of training data sets on classification accuracy of lung nodules

    Science.gov (United States)

    Gong, Jing; Liu, Ji-Yu; Sun, Xi-Wen; Zheng, Bin; Nie, Sheng-Dong

    2018-02-01

    This study aims to develop a computer-aided diagnosis (CADx) scheme for classification between malignant and benign lung nodules, and also assess whether CADx performance changes in detecting nodules associated with early and advanced stage lung cancer. The study involves 243 biopsy-confirmed pulmonary nodules. Among them, 76 are benign, 81 are stage I and 86 are stage III malignant nodules. The cases are separated into three data sets involving: (1) all nodules, (2) benign and stage I malignant nodules, and (3) benign and stage III malignant nodules. A CADx scheme is applied to segment lung nodules depicted on computed tomography images and we initially computed 66 3D image features. Then, three machine learning models namely, a support vector machine, naïve Bayes classifier and linear discriminant analysis, are separately trained and tested by using three data sets and a leave-one-case-out cross-validation method embedded with a Relief-F feature selection algorithm. When separately using three data sets to train and test three classifiers, the average areas under receiver operating characteristic curves (AUC) are 0.94, 0.90 and 0.99, respectively. When using the classifiers trained using data sets with all nodules, average AUC values are 0.88 and 0.99 for detecting early and advanced stage nodules, respectively. AUC values computed from three classifiers trained using the same data set are consistent without statistically significant difference (p  >  0.05). This study demonstrates (1) the feasibility of applying a CADx scheme to accurately distinguish between benign and malignant lung nodules, and (2) a positive trend between CADx performance and cancer progression stage. Thus, in order to increase CADx performance in detecting subtle and early cancer, training data sets should include more diverse early stage cancer cases.

  6. A Fast SVM-Based Tongue's Colour Classification Aided by k-Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis

    Science.gov (United States)

    Ooi, Chia Yee; Kawanabe, Tadaaki; Odaguchi, Hiroshi; Kobayashi, Fuminori

    2017-01-01

    In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable lighting condition and naked eye's ability to capture the exact colour distribution on the tongue especially the tongue with multicolour substance. To overcome this ambiguity, this paper presents a two-stage tongue's multicolour classification based on a support vector machine (SVM) whose support vectors are reduced by our proposed k-means clustering identifiers and red colour range for precise tongue colour diagnosis. In the first stage, k-means clustering is used to cluster a tongue image into four clusters of image background (black), deep red region, red/light red region, and transitional region. In the second-stage classification, red/light red tongue images are further classified into red tongue or light red tongue based on the red colour range derived in our work. Overall, true rate classification accuracy of the proposed two-stage classification to diagnose red, light red, and deep red tongue colours is 94%. The number of support vectors in SVM is improved by 41.2%, and the execution time for one image is recorded as 48 seconds. PMID:29065640

  7. A Fast SVM-Based Tongue's Colour Classification Aided by k-Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis.

    Science.gov (United States)

    Kamarudin, Nur Diyana; Ooi, Chia Yee; Kawanabe, Tadaaki; Odaguchi, Hiroshi; Kobayashi, Fuminori

    2017-01-01

    In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable lighting condition and naked eye's ability to capture the exact colour distribution on the tongue especially the tongue with multicolour substance. To overcome this ambiguity, this paper presents a two-stage tongue's multicolour classification based on a support vector machine (SVM) whose support vectors are reduced by our proposed k -means clustering identifiers and red colour range for precise tongue colour diagnosis. In the first stage, k -means clustering is used to cluster a tongue image into four clusters of image background (black), deep red region, red/light red region, and transitional region. In the second-stage classification, red/light red tongue images are further classified into red tongue or light red tongue based on the red colour range derived in our work. Overall, true rate classification accuracy of the proposed two-stage classification to diagnose red, light red, and deep red tongue colours is 94%. The number of support vectors in SVM is improved by 41.2%, and the execution time for one image is recorded as 48 seconds.

  8. A Fast SVM-Based Tongue’s Colour Classification Aided by k-Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis

    Directory of Open Access Journals (Sweden)

    Nur Diyana Kamarudin

    2017-01-01

    Full Text Available In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable lighting condition and naked eye’s ability to capture the exact colour distribution on the tongue especially the tongue with multicolour substance. To overcome this ambiguity, this paper presents a two-stage tongue’s multicolour classification based on a support vector machine (SVM whose support vectors are reduced by our proposed k-means clustering identifiers and red colour range for precise tongue colour diagnosis. In the first stage, k-means clustering is used to cluster a tongue image into four clusters of image background (black, deep red region, red/light red region, and transitional region. In the second-stage classification, red/light red tongue images are further classified into red tongue or light red tongue based on the red colour range derived in our work. Overall, true rate classification accuracy of the proposed two-stage classification to diagnose red, light red, and deep red tongue colours is 94%. The number of support vectors in SVM is improved by 41.2%, and the execution time for one image is recorded as 48 seconds.

  9. Foramen magnum decompression versus terminal ventriculostomy for the treatment of syringomyelia.

    Science.gov (United States)

    Filizzolo, F; Versari, P; D'Aliberti, G; Arena, O; Scotti, G; Mariani, C

    1988-01-01

    The A.A review 30 consecutive cases of syringomyelia operated on during the last seven years. Six terminal ventriculostomies (TV) and twenty-seven procedures for foramen magnum decompression (FMD) were performed. All patients of TV group had CT-myelography (CTM) and/or NMR controls at different times after surgery. Clinical results are as follows: 1) of the 6 patients who had TV, only one showed an improvement while five continued to deteriorate and three of them needed a FMD, one a cysto-peritoneal shunt and the last one died from lung cancer. 2) of the 27 patients who had FMD, twenty improved, four were unchanged and three worsened. 3) no surgical deaths occurred in this series. Postoperative NMR monitoring represents an effective non-invasive neuroradiological procedure that allows follow-up of syrinx evolution over the years.

  10. Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study.

    Directory of Open Access Journals (Sweden)

    Muhammad Naveed Iqbal Qureshi

    Full Text Available The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the main research goals of the neuroscience and clinical communities. In this study, we performed multiclass classification using a hierarchical extreme learning machine (H-ELM classifier. We compared the performance of this classifier with that of a support vector machine (SVM and basic extreme learning machine (ELM for cortical MRI data from attention deficit/hyperactivity disorder (ADHD patients. We used 159 structural MRI images of children from the publicly available ADHD-200 MRI dataset. The data consisted of three types, namely, typically developing (TDC, ADHD-inattentive (ADHD-I, and ADHD-combined (ADHD-C. We carried out feature selection by using standard SVM-based recursive feature elimination (RFE-SVM that enabled us to achieve good classification accuracy (60.78%. In this study, we found the RFE-SVM feature selection approach in combination with H-ELM to effectively enable the acquisition of high multiclass classification accuracy rates for structural neuroimaging data. In addition, we found that the most important features for classification were the surface area of the superior frontal lobe, and the cortical thickness, volume, and mean surface area of the whole cortex.

  11. Evaluation of the WHO 2009 classification for diagnosis of acute dengue in a large cohort of adults and children in Sri Lanka during a dengue-1 epidemic.

    Science.gov (United States)

    Bodinayake, Champica K; Tillekeratne, L Gayani; Nagahawatte, Ajith; Devasiri, Vasantha; Kodikara Arachchi, Wasantha; Strouse, John J; Sessions, October M; Kurukulasooriya, Ruvini; Uehara, Anna; Howe, Shiqin; Ong, Xin Mei; Tan, Sharon; Chow, Angelia; Tummalapalli, Praveen; De Silva, Aruna D; Østbye, Truls; Woods, Christopher W; Gubler, Duane J; Reller, Megan E

    2018-02-01

    Dengue is a leading cause of fever and mimics other acute febrile illnesses (AFI). In 2009, the World Health Organization (WHO) revised criteria for clinical diagnosis of dengue. The new WHO 2009 classification of dengue divides suspected cases into three categories: dengue without warning signs, dengue with warning signs and severe dengue. We evaluated the WHO 2009 classification vs physicians' subjective clinical diagnosis (gestalt clinical impression) in a large cohort of patients presenting to a tertiary care center in southern Sri Lanka hospitalized with acute febrile illness. We confirmed acute dengue in 388 patients (305 adults ≥ 18 years and 83 children), including 103 primary and 245 secondary cases, of 976 patients prospectively enrolled with AFI. At presentation, both adults and children with acute dengue were more likely than those with other AFI to have leukopenia and thrombocytopenia. Additionally, adults were more likely than those with other AFI to have joint pain, higher temperatures, and absence of crackles on examination whereas children with dengue were more likely than others to have sore throat, fatigue, oliguria, and elevated hematocrit and transaminases. Similarly, presence of joint pain, thrombocytopenia, and absence of cough were independently associated with secondary vs primary dengue in adults whereas no variables were different in children. The 2009 WHO dengue classification was more sensitive than physicians' clinical diagnosis for identification of acute dengue (71.5% vs 67.1%), but was less specific. However, despite the absence of on-site diagnostic confirmation of dengue, clinical diagnosis was more sensitive on discharge (75.2%). The 2009 WHO criteria classified almost 75% as having warning signs, even though only 9 (2.3%) patients had evidence of plasma leakage and 16 (4.1%) had evidence of bleeding. In a large cohort with AFI, we identified features predictive of dengue vs other AFI and secondary vs primary dengue in adults

  12. Syringomyelia and Arnold-Chiari malformation associated with neck pain and left arm radiculopathy treated with spinal manipulation.

    Science.gov (United States)

    Tieppo Francio, Vinicius

    2014-11-09

    An 18-year-old female patient presented with left dominant neck pain after a motor vehicle collision. Her cervical spine MRI revealed syringomyelia with associated Type I Arnold-Chiari malformation. Some researchers have reported that these might be considered contraindications to spinal manipulation. Nevertheless, her benign and functional clinical examination suggested otherwise and she underwent four manipulative treatments in 2 weeks. By the end of the treatment plan and after 1-month follow-up, she was asymptomatic, no adverse effects were noted and her outcome assessment score decreased from 56% to 0%. This case illustrates that spinal manipulation may be a useful adjunctive treatment procedure for spinal pain, even in the presence of syringomyelia and Chiari malformation, which may not necessarily be a contraindication to spinal manipulation, when performed by a skilled and well-trained physician. 2014 BMJ Publishing Group Ltd.

  13. Anesthetic management during Cesarean section in a woman with residual Arnold–Chiari malformation Type I, cervical kyphosis, and syringomyelia

    Science.gov (United States)

    Ghaly, Ramsis F.; Candido, Kenneth D.; Sauer, Ruben; Knezevic, Nebojsa Nick

    2012-01-01

    Background: Type I Arnold–Chiari malformation (ACM) has an adult onset and consists of a downward displacement of the cerebellar tonsils and the medulla through the foramen magnum. There is paucity of literature on the anesthetic management during pregnancy of residual ACM Type I, with cervical xyphosis and persistent syringomyelia. Case Description: A 34-year-old woman with surgically corrected ACM Type I presented for Cesarean delivery. A recent MRI demonstrated worsening of cervical xyphosis after several laminectomies and residual syringomyelia besides syringopleural shunt. Awake fiberoptic intubation was performed under generous topical anesthesia to minimize head and neck movement during endotracheal intubation. We used a multimodal general anesthesia without neuromuscular blockade. The neck was maintained in a neutral position. Following delivery, the patient completely recovered in post-anesthesia care unit (PACU), with no headache and no exacerbation or worsening of neurological function. Conclusions: The present case demonstrates that patients with partially corrected ACM, syringomyelia, cervical kyphosis, and difficult intubation undergoing Cesarean delivery require an interdisciplinary team approach, diligent preparation, and skilled physicians. PMID:22439117

  14. Anesthetic management during Cesarean section in a woman with residual Arnold-Chiari malformation Type I, cervical kyphosis, and syringomyelia.

    Science.gov (United States)

    Ghaly, Ramsis F; Candido, Kenneth D; Sauer, Ruben; Knezevic, Nebojsa Nick

    2012-01-01

    Type I Arnold-Chiari malformation (ACM) has an adult onset and consists of a downward displacement of the cerebellar tonsils and the medulla through the foramen magnum. There is paucity of literature on the anesthetic management during pregnancy of residual ACM Type I, with cervical xyphosis and persistent syringomyelia. A 34-year-old woman with surgically corrected ACM Type I presented for Cesarean delivery. A recent MRI demonstrated worsening of cervical xyphosis after several laminectomies and residual syringomyelia besides syringopleural shunt. Awake fiberoptic intubation was performed under generous topical anesthesia to minimize head and neck movement during endotracheal intubation. We used a multimodal general anesthesia without neuromuscular blockade. The neck was maintained in a neutral position. Following delivery, the patient completely recovered in post-anesthesia care unit (PACU), with no headache and no exacerbation or worsening of neurological function. The present case demonstrates that patients with partially corrected ACM, syringomyelia, cervical kyphosis, and difficult intubation undergoing Cesarean delivery require an interdisciplinary team approach, diligent preparation, and skilled physicians.

  15. Improving the classification accuracy for IR spectroscopic diagnosis of stomach and colon malignancy using non-linear spectral feature extraction methods.

    Science.gov (United States)

    Lee, Sanguk; Kim, Kyoungok; Lee, Hyeseon; Jun, Chi-Hyuck; Chung, Hoeil; Park, Jong-Jae

    2013-07-21

    Non-linear feature extraction methods, neighborhood preserving embedding (NPE) and supervised NPE (SNPE), were employed to effectively represent the IR spectral features of stomach and colon biopsy tissues for classification, and improve the classification accuracy for diagnosis of malignancy. The motivation was to utilize the NPE and SNPE's capability of capturing non-linear spectral behaviors by simultaneously preserving local relationships in order that minute spectral differences among classes would be effectively recognized. NPE and SNPE derive an optimal embedding feature such that the local neighborhood structure can be preserved in reduced spaces (variables). The IR spectra collected from stomach and colon tissues were represented by several new variables through NPE and SNPE, and also by using the principal component analysis (PCA). Then, the feature-extracted variables were subsequently classified into normal, adenoma and cancer tissues by using both k-nearest neighbor (k-NN) and support vector machine (SVM), and the resulting accuracies were compared with each other. In both cases, the combination of SNPE-SVM provided the best classification performance, and the accuracy was substantially improved compared to when PCA-SVM was used. Overall results demonstrate that NPE and SNPE could be potential feature-representation strategies useful in biomedical diagnosis based on vibrational spectroscopy where effective recognition of minute spectral differences is critical.

  16. 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)

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

    Science.gov (United States)

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

    2013-04-01

    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.

  18. [Diffuse idiopathic interstitial pneumonias. International multidisciplinary consensus classification by the American Thoracic Society and the European Respiratory Society, principal clinico-pathological entities, and diagnosis].

    Science.gov (United States)

    Cottin, V; Capron, F; Grenier, P; Cordier, J-F

    2004-04-01

    The classification of the idiopathic interstitial pneumonias includes seven clinico-pathologic entities. The diagnosis is based on a multidisciplinary approach, integrating the clinical evaluation, the high-resolution computerised tomography, and the pathological pattern. A definitive diagnosis of idiopathic pulmonary fibrosis relies on the association of a suggestive clinico-radiological profile and a pathological pattern of usual interstitial pneumonia. Nonspecific interstitial pneumonia is a recently described clinico-pathologic entity, with a better prognosis than that of idiopathic pulmonary fibrosis. Cryptogenic organising pneumonia has been included in the group of idiopathic interstitial pneumonias because of its idiopathic and multifocal characteristics, although it does not predominate in the lung interstitium. Desquamative interstitial pneumonia and respiratory bronchiolitis with interstitial lung disease are rare entities with predominance in young smoking adults. Lymphoid interstitial pneumonia, usually encountered in the context of Sjögren's syndrome, is very rare in its idiopathic form. Acute interstitial pneumonia is responsible for idiopathic acute respiratory distress syndrome. The current classification of idiopathic interstitial pneumonias better defines the diagnostic criterias of each clinico-pathologic entity, and is expected to facilitate clinical research. This classification has clinical implications, with prognostic and therapeutic significance.

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

    Directory of Open Access Journals (Sweden)

    Shimeng Fang

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

  20. Epidemiological and clinical relevance of insomnia diagnosis algorithms according to the DSM-IV and the International Classification of Sleep Disorders (ICSD).

    Science.gov (United States)

    Ohayon, Maurice M; Reynolds, Charles F

    2009-10-01

    Although the epidemiology of insomnia in the general population has received considerable attention in the past 20 years, few studies have investigated the prevalence of insomnia using operational definitions such as those set forth in the ICSD and DSM-IV, specifying what proportion of respondents satisfied the criteria to reach a diagnosis of insomnia disorder. This is a cross-sectional study involving 25,579 individuals aged 15 years and over representative of the general population of France, the United Kingdom, Germany, Italy, Portugal, Spain and Finland. The participants were interviewed on sleep habits and disorders managed by the Sleep-EVAL expert system using DSM-IV and ICSD classifications. At the complaint level, too short sleep (20.2%), light sleep (16.6%), and global sleep dissatisfaction (8.2%) were reported by 37% of the subjects. At the symptom level (difficulty initiating or maintaining sleep and non-restorative sleep at least 3 nights per week), 34.5% of the sample reported at least one of them. At the criterion level, (symptoms+daytime consequences), 9.8% of the total sample reported having them. At the diagnostic level, 6.6% satisfied the DSM-IV requirement for positive and differential diagnosis. However, many respondents failed to meet diagnostic criteria for duration, frequency and severity in the two classifications, suggesting that multidimensional measures are needed. A significant proportion of the population with sleep complaints do not fit into DSM-IV and ICSD classifications. Further efforts are needed to identify diagnostic criteria and dimensional measures that will lead to insomnia diagnoses and thus provide a more reliable, valid and clinically relevant classification.

  1. Characterization of cutaneous vascular lesions by Doppler ultrasound as an adjunct method for diagnosis and classification in the Hospital Nacional de Ninos: September 2007-June 2008

    International Nuclear Information System (INIS)

    Benavides Sanchez, Milton Mauricio

    2010-01-01

    The sonographic features and the Doppler valuation are characterized and studied in the service of ultrasound of the Hospital Nacional de Ninos in the study period September 2007 - June 2008. The documented findings are correlated in each lesion with the clinical diagnosis by the attending physician. Injuries are classified based on data obtained by Doppler valuation. The classification system currently accepted is used. A basic study protocol is established by Doppler ultrasound to provide enough information and that systematically vascular lesions are evaluated [es

  2. The Effects of Q-Matrix Design on Classification Accuracy in the Log-Linear Cognitive Diagnosis Model

    Science.gov (United States)

    Madison, Matthew J.; Bradshaw, Laine P.

    2015-01-01

    Diagnostic classification models are psychometric models that aim to classify examinees according to their mastery or non-mastery of specified latent characteristics. These models are well-suited for providing diagnostic feedback on educational assessments because of their practical efficiency and increased reliability when compared with other…

  3. Reproducibility of the acute rejection diagnosis in human cardiac allografts. The Stanford Classification and the International Grading System

    DEFF Research Database (Denmark)

    Nielsen, H; Sørensen, Flemming Brandt; Nielsen, B

    1993-01-01

    Transplantation has become an accepted treatment of many cardiac end-stage diseases. Acute cellular rejection accounts for 15% to 20% of all graft failures. The first grading system of acute cellular rejection, the Stanford Classification, was introduced in 1979, and since then many other grading...

  4. Efficacy of the echo pattern classification of ovarian tumors 2000 in conjunction with transvaginal ultrasonography for diagnosis of ovarian masses.

    Science.gov (United States)

    Tajima, Atsushi; Suzuki, Chikako; Kikuchi, Iwaho; Kasahara, Hanako; Koizumi, Akari; Nojima, Michio; Yoshida, Koyo

    2016-04-01

    Because of the need for rapid, accurate clinical differentiation between malignant and benign ovarian masses, we investigated the diagnostic efficacy of the echo pattern classification used together with transvaginal ultrasound. We classified, on the basis of six echo pattern types, transvaginal ultrasound images of 405 ovarian masses treated surgically between January 2011 and December 2012. We compared the resulting classifications to the postoperative histopathologic diagnoses and computed the diagnostic sensitivity and specificity of the echo pattern-based classification for malignancy. Our review yielded the following echo patterns: type I, n = 61; type II; n = 154; type III, n = 82; type IV, n = 61; type V, n = 34; and type VI, n = 13. Histopathologically, there were 75 borderline malignant/malignant tumors and 330 benign tumors. Diagnostic sensitivity was 80.0 % and specificity was 85.5 % when echo types I-III were categorized as benign and types IV-VI were categorized as malignant. Further, with respect to benign tumors: sensitivity and specificity for chocolate cysts were 85.5 and 88.4 %, respectively, and for dermoid cysts were 67.2 and 97.9 %, respectively. With the echo pattern classification, ovarian masses can be diagnosed easily and accurately upon transvaginal ultrasound.

  5. Expansion of Chiari I-associated syringomyelia after posterior-fossa decompression.

    Science.gov (United States)

    Gil, Z; Rao, S; Constantini, S

    2000-09-01

    Chiari I malformation (CMI) is an abnormality that involves caudal herniation of the cerebellar tonsils into the foramen magnum. CMI has been shown to be closely associated with the development of syringomyelia (SM). Several theories have emerged to explain the apparent correlation between the existence of CMI with subsequent development of SM. However, the exact mechanism of the evolution of SM is still subject to controversy. We report here the case of a 12-year-old girl admitted to hospital with headache, vomiting, ataxia, and moderate pyramidal signs. Radiological evaluation revealed the presence of CMI, accompanied by a small SM. The patient underwent posterior fossa decompression and improved significantly. She was re-admitted 6 months later with clinical evidence of progressive spinal cord dysfunction. MR revealed gross expansion of the syrinx. This case raises questions regarding the pathophysiology of CMI and its association with SM. The case indicates the need for neurological and radiological follow-up for patients undergoing posterior fossa decompression due to CMI, even for those without an initial syrinx. This is the first report known to us of expansion of a syrinx following decompression of an associated CMI.

  6. Comparison of gabapentin versus topiramate on clinically affected dogs with Chiari-like malformation and syringomyelia.

    Science.gov (United States)

    Plessas, I N; Volk, H A; Rusbridge, C; Vanhaesebrouck, A E; Jeffery, N D

    2015-09-19

    To date there is no evidence-based data for efficacious treatment of neuropathic pain in dogs with Chiari-like malformation (CM) and syringomyelia (SM). The objective of this prospective cross-over study was to compare the effect of gabapentin versus topiramate, as an add-on treatment to carprofen, on quality of life (QoL) of dogs experiencing signs of neuropathic pain due to CM/SM. A visual analogue scale (VAS) was used to assess the QoL: (1) on day 0; (2) after 1 week of carprofen only; (3) after 2 weeks on carprofen and gabapentin; and (4) after 2 weeks on carprofen and topiramate. No significant difference was observed between VAS after gabapentin or topiramate (P=0.91). However, an improvement in QoL was observed when gabapentin was compared with baseline (P=0.009), but not for topiramate. In conclusion, the addition of gabapentin was more effective in improving QoL than carprofen alone, but the study failed to identify that gabapentin was more efficacious than topiramate. Perhaps the more favourable side effect profile of the former makes it more suitable for the treatment of neuropathic pain associated with CM/SM but further placebo-controlled trials are required to assess the efficacy of these drugs. British Veterinary Association.

  7. Application of Artificial Neural Networks in Cancer Classification and Diagnosis Prediction of a Subtype of Lymphoma Based on Gene Expression Profile

    Directory of Open Access Journals (Sweden)

    L Ziaei

    2006-01-01

    Full Text Available Background: Diffuse Large B-cell Lymphoma (DLBCL is the most common subtype of non-Hodgkin’s Lymphoma. DLBCL patients have different survivals after diagnosis. 40% of patients respond well to current therapy and have prolonged survival, whereas the remainders survive less than 5 years. In this study, we have applied artificial neural network to classify patients with DLBCL on the basis of their gene expression profiles. Finally, we have attempted to extract a number of genes that their differential expression were significant in DLBCL subtypes. Methods: We studied 40 patients and 4026 genes. In this study, genes were ranked based on their signal to noise (S/N ratios. After selecting a suitable threshold, some of them whose ratios were less than the threshold were removed. Then we used PCA for more reducing and Perceptron neural network for classification of these patients. We extracted some appropriate genes based on their prediction ability. Results: We considered various targets for patients classifying. Thus patients were classified based on their 5 years survival with accuracy of 93%, in regard to Alizadeh et al study results with accuracy of 100%, and regarding with their International Prognosis Index (IPI with accuracy of 89%. Conclusion: Combination of PCA and S/N ratio is an effective method for the reduction of the dimension and neural network is a robust tool for classification of patients according to their gene expression profile. Keywords: classification, gene expression, DLBCL, neural network, Perceptron

  8. Reproducibility of the acute rejection diagnosis in human cardiac allografts. The Stanford Classification and the International Grading System

    DEFF Research Database (Denmark)

    Nielsen, H; Sørensen, Flemming Brandt; Nielsen, B

    1993-01-01

    necrosis are used. These terms create some difficulties in understanding or interpreting the various grades. The main problem is to distinguish between grade 1A and grade 3A. Despite the difficulties, the grading system is easy to use, but a revision is needed.......Transplantation has become an accepted treatment of many cardiac end-stage diseases. Acute cellular rejection accounts for 15% to 20% of all graft failures. The first grading system of acute cellular rejection, the Stanford Classification, was introduced in 1979, and since then many other grading...... systems have evolved. Most recently, the International Grading System was introduced in The Journal of Heart and Lung Transplantation. In this study the interobserver reproducibility of both the Stanford Classification and the International Grading System is evaluated using Kappa statistics. Three...

  9. Classification, diagnosis, and approach to treatment for angioedema: consensus report from the Hereditary Angioedema International Working Group.

    Science.gov (United States)

    Cicardi, M; Aberer, W; Banerji, A; Bas, M; Bernstein, J A; Bork, K; Caballero, T; Farkas, H; Grumach, A; Kaplan, A P; Riedl, M A; Triggiani, M; Zanichelli, A; Zuraw, B

    2014-05-01

    Angioedema is defined as localized and self-limiting edema of the subcutaneous and submucosal tissue, due to a temporary increase in vascular permeability caused by the release of vasoactive mediator(s). When angioedema recurs without significant wheals, the patient should be diagnosed to have angioedema as a distinct disease. In the absence of accepted classification, different types of angioedema are not uniquely identified. For this reason, the European Academy of Allergy and Clinical Immunology gave its patronage to a consensus conference aimed at classifying angioedema. Four types of acquired and three types of hereditary angioedema were identified as separate forms from the analysis of the literature and were presented in detail at the meeting. Here, we summarize the analysis of the data and the resulting classification of angioedema. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  10. Classification systems in psychiatry: diagnosis and global mental health in the era of DSM-5 and ICD-11.

    Science.gov (United States)

    Stein, Dan J; Lund, Crick; Nesse, Randolph M

    2013-09-01

    The development of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and- of the 11th edition of the International Classification of Disease (ICD-11) have led to renewed attention to the conceptual controversies surrounding the nosology of mental disorder. This article reviews recent work in this area, and suggests potential ways forward for psychiatric nosology, focusing in particular on the need for improved classification approaches for public and global mental health. DSM-5 and ICD-11 have taken somewhat different approaches, but both appropriately emphasize the importance of clinical utility and diagnosic validity in psychiatric nosology. The Research Domain Criteria framework provides a useful focus on the individual-level causal mechanisms that are relevant to vulnerability to mental disorder. An analogous approach to societal-level causal mechanisms would be useful from a public and global mental health perspective. In their day-to-day work, clinicians will continue to use the fuzzy constructs operationally defined and narratively depicted in DSM-5 and ICD-11. Advances in our understanding of the individual-level and society-level causal mechanisms that contribute to vulnerability to mental disorder may ultimately lead to improved classification systems, and in turn to better individualized care as well as improved global mental health.

  11. Delamination technique together with longitudinal incisions for treatment of Chiari I/syringomyelia complex: a prospective clinical study

    Directory of Open Access Journals (Sweden)

    Savas Yildiray

    2009-06-01

    Full Text Available Abstract Background Treatment modalities in Chiari malformation type 1(CMI accompanied by syringomyelia have not yet been standardized. Pathologies such as a small posterior fossa and thickened dura mater have been discussed previously. Various techniques have been explored to enlarge the foramen magnum and to expand the dura. The aim of this clinical study was to explore a new technique of excision of the external dura accompanied by widening the cisterna magna and making longitudinal incisions in the internal dura, without disturbing the arachnoid. Methods Ten patients with CMI and syringomyelia, operated between 2004 and 2006, formed this prospective series. All cases underwent foramen magnum decompression of 3 × 3 cm area with C1–C2 (partial laminectomy, resection of foramen magnum fibrous band, excision of external dura, delamination and widening of internal dura with longitudinal incisions. Results Patients were aged between 25 and 58 years and occipital headache was the most common complaint. The mean duration of preoperative symptoms was 4 years and the follow-up time was 25 months. Clinical progression was halted for all patients; eight patients completely recovered and two reported no change. In one patient, there was a transient cerebrospinal fluid (CSF fistula that was treated with tissue adhesive. While syringomyelia persisted radiologically with radiological stability in five patients; for three patients the syringomyelic cavity decreased in size, and for the remaining two it regressed completely. Conclusion Removal of the fibrous band and the outer dural layer, at level of foramen magnum, together with the incision of inner dural layer appears to be good technique in adult CMI patients. The advantages are short operation time, no need for duraplasty, sufficient posterior fossa decompression, absence of CSF fistulas as a result of extra arachnoidal surgery, and short duration of hospitalization. Hence this surgical technique has

  12. The efficacy of intraoperative ultrasonography-assisted microinvasive cisterna magna reconstruction for Chiari malformation typeⅠwith syringomyelia

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    LI Peng-chao

    2012-08-01

    Full Text Available Objective To report the method and effect of intraoperative ultrasonography-assisted microinvasive cisterna magna reconstruction for Chiari malformation type Ⅰ with syringomyelia. Methods Ninty-three patients suffered from Chiari malformation typeⅠwith syringomyelia were treated by microinvasive cisterna magna reconstruction. The skin incision was 1.50-3.00 cm. The bone removal of foramen magnum was 1.50 cm × 2.00 cm with C1 reserved. Dura and arachnoid were incised and sutured linearly. All of the patients underwent cerebellar tonsillar resection and exploration of median aperture of fourth ventricle. Intraoperative ultrasonography was performed both before and after cerebellar tonsillar resection to judge the effect of cisterna magna reconstruction. According to Tator method, the curative effect was divided into 3 groups, improved, stable and worsen. MRI were reviewed at the same time, and the result was divided into syrinx disappeared, reduced, no change and expanded. Results The operation was successful in all patients. Postoperative complications included cerebellum hemorrhage (n = 1, cerebral infarction (n = 1, hydrocephalus (n = 1, subcutaneous dropsy (n = 2 and were recovered after specific treatment. All patients were followed up for 6 months to 12 months after operation. Thirty-six cases were improved, 55 cases were stable, and 2 cases got worse. The MRI showed that the syringomyelia shrinked or disappeared in 90 cases, no change in 3 cases and no expansion. Eighty cases were followed up for 30 months to 36 months after operation, 12 stable cases improved, 1 stable case got worse, while the others remained unchanged. The MRI showed no change was compared with previous follow-up imaging. Conclusion Microinvasive cisterna magna reconstruction is a surgical procedure with mininal injury, quick recovery, stable effect, fewer complications, and high security. Intraoperative ultrasonography provides reliable data and is easy to perform.

  13. Long-term outcome of Cavalier King Charles spaniel dogs with clinical signs associated with Chiari-like malformation and syringomyelia.

    Science.gov (United States)

    Plessas, I N; Rusbridge, C; Driver, C J; Chandler, K E; Craig, A; McGonnell, I M; Brodbelt, D C; Volk, H A

    2012-11-17

    The disease complex Chiari-like malformation (CM) and syringomyelia (SM) has been associated with the development of neuropathic pain (NeP), and commonly affects Cavalier King Charles spaniels (CKCS). This prospective cohort study followed 48 CKCSs with CM and/or SM and clinical signs suggestive of NeP for a period of 39 (±14.3) months from diagnosis. At the end of the study, 36 dogs were still alive; five dogs died of an unrelated or unknown cause, and seven were euthanased due to severe clinical signs suggestive of NeP. During the follow-up period, the clinical signs of scratching, facial rubbing behaviour, vocalisation and exercise ability were evaluated. Nine out of 48 dogs stopped scratching (Pdogs exhibiting exercise intolerance, vocalisation or facial rubbing behaviour. The overall severity of clinical signs based on a visual analogue scale (VAS) (0 mm: no clinical signs 100 mm: severe clinical signs) increased (from median 75 mm (interquartile ranges (IQR) 68-84) to 84 mm (IQR 71.5-91), Pdogs were static or improved. In general, the majority of the owners felt that the quality of life of their dogs was acceptable. Medical treatments received were gabapentin or pregabalin and/or intermittently, carprofen. The owner's perception of their animal's progress, and progress based on VAS, had strong positive correlation (Spearman's rank correlation (s(r)) 0.74, P<0.001). Overall, this study suggests that clinical signs suggestive of NeP progress in three-quarters of CKCSs with CM and/or SM.

  14. Concordance between telephone survey classification and face-to-face interview diagnosis of one-year major depressive episode in Hong Kong.

    Science.gov (United States)

    Lee, Sing; Tsang, Adley; Mak, Arthur; Lee, Athene; Lau, Lisa; Ng, K L

    2010-10-01

    Community-based telephone surveys of depression have generated reliable findings but their concordance with standardized clinical diagnostic interviews is uncommonly examined, especially in non-western populations. 106 consenting participants from a previous telephone-based population survey of major depressive episode (MDE) using a structured questionnaire were re-assessed face-to-face by clinical interviewers using the Structured Clinical Interview for DSM-IV Axis I Disorder (SCID-I). Receiver operating characteristic and other predictive indicators were used to investigate the concordance between the telephone survey instrument and SCID interview. The telephone survey instrument adequately classified MDE when the DSM-IV symptom number standard was fulfilled at moderate to severe levels of distress and impairment. It performed best when the cut-off was set at a severe level of distress or impairment in any one of four domains of functioning (AUC=0.76). Feeling useless, fatigue, loss of motivation and difficulty in concentration were the most prominent items for increasing the certainty of SCID-MDE diagnosis. Classification of MDE by telephone-based structured interview of MDE exhibited generally good agreement with face-to-face clinical interview diagnosis in the Chinese population of Hong Kong. Further research on the telephone-based methodology should address inter-rater reliability, specificity of diagnosis, and variability of concordance across different mental disorder diagnoses and criteria of clinically significant impairment. Copyright 2010 Elsevier B.V. All rights reserved.

  15. Focal adhesive arachnoiditis of the spinal cord: Imaging diagnosis and surgical resolution

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    Hiroki Morisako

    2010-01-01

    Full Text Available Background: Although adhesive arachnoiditis of the spinal cord can cause progressive symptoms associated with syringomyelia or myelomalacia, its surgical resolution based on the imaging diagnosis is not well characterized. This study aims to describe the use of imaging for the diagnosis of focal adhesive arachnoiditis of the spinal cord and its surgical resolution using microsurgical arachnoidolysis. Materials and Methods: Four consecutive patients with symptomatic syringomyelia or myelomalacia caused by focal adhesive arachnoiditis underwent microsurgical arachnoidolysis. Comprehensive imaging evaluation using constructive interference in steady-state (CISS magnetic resonance imaging (MRI or myelographic MR imaging using true fast imaging with steady-state precession (TrueFISP sequences was included before surgery to determine the surgical indication. Results: In all four patients a focal adhesion was identified at the cervical or thoracic level of the spinal cord, a consequence of infection or trauma. Three patients showed modest or minor improvement in neurological function, and one patient was unchanged after surgery. The syringomyelia or myelomalacia resolved after surgery and no recurrence was noted within the follow-up period, which ranged from 5 months to 30 months. Conclusions: MRI diagnosis of focal adhesive arachnoiditis is critical to determine the surgical indication. Microsurgical arachnoidolysis appears to be a straightforward method for stabilizing the progressive symptoms, though the procedure is technically demanding.

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

    Science.gov (United States)

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

    2011-08-01

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

  17. Volume reduction of the jugular foramina in Cavalier King Charles Spaniels with syringomyelia

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    Schmidt Martin

    2012-09-01

    Full Text Available Abstract Background Understanding the pathogenesis of the chiari-like malformation in the Cavalier King Charles Spaniel (CKCS is incomplete, and current hypotheses do not fully explain the development of syringomyelia (SM in the spinal cords of affected dogs. This study investigates an unconventional pathogenetic theory for the development of cerebrospinal fluid (CSF pressure waves in the subarachnoid space in CKCS with SM, by analogy with human diseases. In children with achondroplasia the shortening of the skull base can lead to a narrowing of the jugular foramina (JF between the cranial base synchondroses. This in turn has been reported to cause a congestion of the major venous outflow tracts of the skull and consequently to an increase in the intracranial pressure (ICP. Amongst brachycephalic dog breeds the CKCS has been identified as having an extremely short and wide braincase. A stenosis of the JF and a consequential vascular compromise in this opening could contribute to venous hypertension, raising ICP and causing CSF jets in the spinal subarachnoid space of the CKCS. In this study, JF volumes in CKCSs with and without SM were compared to assess a possible role of this pathologic mechanism in the development of SM in this breed. Results Computed tomography (CT scans of 40 CKCSs > 4 years of age were used to create three-dimensional (3D models of the skull and the JF. Weight matched groups (7–10 kg of 20 CKCSs with SM and 20 CKCSs without SM were compared. CKCSs without SM presented significantly larger JF -volumes (median left JF: 0.0633 cm3; median right JF: 0.0703 cm3; p 3; median right JF: 0.0434 cm3; p Conclusion A stenosis of the JF and consecutive venous congestion may explain the aetiology of CSF pressure waves in the subarachnoid space, independent of cerebellar herniation, as an additional pathogenetic factor for the development of SM in this breed.

  18. Genetic Programming for the Generation of Crisp and Fuzzy Rule Bases in Classification and Diagnosis of Medical Data

    DEFF Research Database (Denmark)

    Dounias, George; Tsakonas, Athanasios; Jantzen, Jan

    2002-01-01

    programming system for the generation of fuzzy rule-based systems. Two different medical domains are used to evaluate the models. The first field is the diagnosis of subtypes of Aphasia. Two models for crisp rule-bases are presented. The first one discriminates between four major types and the second attempts...... systems. Comparisons on the system's comprehensibility and the transparency are included. These comparisons include for the Aphasia domain, previous work consisted of two neural network models....

  19. Twelve years of chiari-like malformation and syringomyelia scanning in Cavalier King Charles Spaniels in the Netherlands : Towards a more precise phenotype

    NARCIS (Netherlands)

    Wijnrocx, Katrien; Van Bruggen, Leonie W L; Eggelmeijer, Wieteke; Noorman, Erik; Jacques, Arnold; Buys, Nadine; Janssens, Steven; Mandigers, Paul J J

    2017-01-01

    Chiari-like malformation (CM), syringomyelia (SM) and middle ear effusion (also called PSOM) are three conditions that frequently occur in Cavalier King Charles Spaniels (CKCS). Both CM and SM are currently screened in the Netherlands prior to breeding and are graded according to the British

  20. Revisiting keratoconus diagnosis and progression classification based on evaluation of corneal asymmetry indices, derived from Scheimpflug imaging in keratoconic and suspect cases

    Directory of Open Access Journals (Sweden)

    Kanellopoulos AJ

    2013-07-01

    Full Text Available Anastasios John Kanellopoulos,1,2 George Asimellis1 1Laservision.gr Eye Institute, Athens, Greece; 2New York University School of Medicine, New York, NY, USA Purpose: To survey the standard keratoconus grading scale (Pentacam®-derived Amsler–Krumeich stages compared to corneal irregularity indices and best spectacle-corrected distance visual acuity (CDVA. Patients and methods: Two-hundred and twelve keratoconus cases were evaluated for keratoconus grading, anterior surface irregularity indices (measured by Pentacam imaging, and subjective refraction (measured by CDVA. The correlations between CDVA, keratometry, and the Scheimpflug keratoconus grading and the seven anterior surface Pentacam-derived topometric indices – index of surface variance, index of vertical asymmetry, keratoconus index, central keratoconus index, index of height asymmetry, index of height decentration, and index of minimum radius of curvature – were analyzed using paired two-tailed t-tests, coefficient of determination (r2, and trendline linearity. Results: The average ± standard deviation CDVA (expressed decimally was 0.626 ± 0.244 for all eyes (range 0.10–1.00. The average flat meridian keratometry was (K1 46.7 ± 5.89 D; the average steep keratometry (K2 was 51.05 ± 6.59 D. The index of surface variance and the index of height decentration had the strongest correlation with topographic keratoconus grading (P< 0.001. CDVA and keratometry correlated poorly with keratoconus severity. Conclusion: It is reported here for the first time that the index of surface variance and the index of height decentration may be the most sensitive and specific criteria in the diagnosis, progression, and surgical follow-up of keratoconus. The classification proposed herein may present a novel benchmark in clinical work and future studies. Keywords: diagnosis and classification, Pentacam topometric indices, Amsler–Krumeich keratoconus grading, surface variance, vertical asymmetry

  1. International Classification of Headache Disorders 3rd edition beta-based field testing of vestibular migraine in China: Demographic, clinical characteristics, audiometric findings and diagnosis statues.

    Science.gov (United States)

    Zhang, Yixin; Kong, Qingtao; Chen, Jinjin; Li, Lunxi; Wang, Dayan; Zhou, Jiying

    2016-03-01

    This study explored the clinical characteristics of vestibular migraine in Chinese subjects and performed a field test of the criteria of the International Classification of Headache Disorders 3rd edition beta version. Consecutive patients with vestibular migraine were surveyed and registered in a headache clinic during the study period. The diagnosis of vestibular migraine was made according to International Classification of Headache Disorders 3rd edition beta version. Assessments included standardized neuro-otology bedside examination, pure-tone audiogram, bithermal caloric testing, neurological imaging, cervical X-ray or magnetic resonance imaging, Doppler ultrasound of cerebral arteries and laboratory tests. A total of 67 patients (62 female/five male, 47.8 ± 10.3 years old) were enrolled in this study. The mean ages of migraine and vertigo onset were 32.2 ± 11.5 and 37.9 ± 10.1 years, respectively. The most common migraine subtype was migraine without aura (79%), followed by migraine with aura (12%) and chronic migraine (9%). The duration of vertigo attacks varied from seconds to days and 25% of patients had attacks that lasted less than 5 minutes. Among the patients with short-lasting attacks, 75% of these patients had ≥5 attacks per day within 72 hours. Auditory symptoms were reported in 36% of the patients. Migraine prophylactic treatments were effective in 77% of the patients. Our study showed that the clinical features of vestibular migraine in China were similar to those of Western studies. The definition of vertigo episodes and migraine subtypes of vestibular migraine in International Classification of Headache Disorders 3rd edition beta version might be modified further. More than five vertigo attacks per day within 72 hours might be helpful as far as identifying vestibular migraine patients with short-lasting attacks. © International Headache Society 2015.

  2. A reliable Raman-spectroscopy-based approach for diagnosis, classification and follow-up of B-cell acute lymphoblastic leukemia

    Science.gov (United States)

    Managò, Stefano; Valente, Carmen; Mirabelli, Peppino; Circolo, Diego; Basile, Filomena; Corda, Daniela; de Luca, Anna Chiara

    2016-04-01

    Acute lymphoblastic leukemia type B (B-ALL) is a neoplastic disorder that shows high mortality rates due to immature lymphocyte B-cell proliferation. B-ALL diagnosis requires identification and classification of the leukemia cells. Here, we demonstrate the use of Raman spectroscopy to discriminate normal lymphocytic B-cells from three different B-leukemia transformed cell lines (i.e., RS4;11, REH, MN60 cells) based on their biochemical features. In combination with immunofluorescence and Western blotting, we show that these Raman markers reflect the relative changes in the potential biological markers from cell surface antigens, cytoplasmic proteins, and DNA content and correlate with the lymphoblastic B-cell maturation/differentiation stages. Our study demonstrates the potential of this technique for classification of B-leukemia cells into the different differentiation/maturation stages, as well as for the identification of key biochemical changes under chemotherapeutic treatments. Finally, preliminary results from clinical samples indicate high consistency of, and potential applications for, this Raman spectroscopy approach.

  3. The EAACI/GA(2) LEN/EDF/WAO Guideline for the definition, classification, diagnosis, and management of urticaria

    DEFF Research Database (Denmark)

    Zuberbier, T; Aberer, W; Asero, R

    2014-01-01

    of the European Academy of Allergy and Clinical Immunology (EAACI), the EU-funded network of excellence, the Global Allergy and Asthma European Network (GA(2) LEN), the European Dermatology Forum (EDF), and the World Allergy Organization (WAO) with the participation of delegates of 21 national and international...... societies. Urticaria is a frequent, mast cell-driven disease, presenting with wheals, angioedema, or both. The life-time prevalence for acute urticaria is approximately 20%. Chronic spontaneous urticaria and other chronic forms of urticaria do not only cause a decrease in quality of life, but also affect...... performance at work and school and, as such, are members of the group of severe allergic diseases. This guideline covers the definition and classification of urticaria, taking into account the recent progress in identifying its causes, eliciting factors and pathomechanisms. In addition, it outlines evidence...

  4. The EAACI/GA(2)LEN/EDF/WAO Guideline for the definition, classification, diagnosis, and management of urticaria

    DEFF Research Database (Denmark)

    Zuberbier, T.; Aberer, W.; Asero, R.

    2015-01-01

    of the European Academy of Allergy and Clinical Immunology (EAACI), the EU-funded network of excellence, the Global Allergy and Asthma European Network (GA(2)LEN), the European Dermatology Forum (EDF), and the World Allergy Organization (WAO) with the participation of delegates of 21 national and international...... societies. Urticaria is a frequent, mast cell-driven disease, presenting with wheals, angioedema, or both. The life-time prevalence for acute urticaria is approximately 20%. Chronic spontaneous urticaria and other chronic forms of urticaria do not only cause a decrease in quality of life, but also affect...... performance at work and school and, as such, are members of the group of severe allergic diseases. This guideline covers the definition and classification of urticaria, taking into account the recent progress in identifying its causes, eliciting factors and pathomechanisms. In addition, it outlines evidence...

  5. The EAACI/GA(2) LEN/EDF/WAO Guideline for the definition, classification, diagnosis, and management of urticaria

    DEFF Research Database (Denmark)

    Zuberbier, T; Aberer, W; Asero, R

    2014-01-01

    societies. Urticaria is a frequent, mast cell-driven disease, presenting with wheals, angioedema, or both. The life-time prevalence for acute urticaria is approximately 20%. Chronic spontaneous urticaria and other chronic forms of urticaria do not only cause a decrease in quality of life, but also affect...... performance at work and school and, as such, are members of the group of severe allergic diseases. This guideline covers the definition and classification of urticaria, taking into account the recent progress in identifying its causes, eliciting factors and pathomechanisms. In addition, it outlines evidence......-based diagnostic and therapeutic approaches for the different subtypes of urticaria. This guideline was acknowledged and accepted by the European Union of Medical Specialists (UEMS)....

  6. Deep learning based classification of morphological patterns in RCM to guide noninvasive diagnosis of melanocytic lesions (Conference Presentation)

    Science.gov (United States)

    Kose, Kivanc; Bozkurt, Alican; Ariafar, Setareh; Alessi-Fox, Christi A.; Gill, Melissa; Dy, Jennifer G.; Brooks, Dana H.; Rajadhyaksha, Milind

    2017-02-01

    In this study we present a deep learning based classification algorithm for discriminating morphological patterns that appear in RCM mosaics of melanocytic lesions collected at the dermal epidermal junction (DEJ). These patterns are classified into 6 distinct types in the literature: background, meshwork, ring, clod, mixed, and aspecific. Clinicians typically identify these morphological patterns by examination of their textural appearance at 10X magnification. To mimic this process we divided mosaics into smaller regions, which we call tiles, and classify each tile in a deep learning framework. We used previously acquired DEJ mosaics of lesions deemed clinically suspicious, from 20 different patients, which were then labelled according to those 6 types by 2 expert users. We tried three different approaches for classification, all starting with a publicly available convolutional neural network (CNN) trained on natural image, consisting of a series of convolutional layers followed by a series of fully connected layers: (1) We fine-tuned this network using training data from the dataset. (2) Instead, we added an additional fully connected layer before the output layer network and then re-trained only last two layers, (3) We used only the CNN convolutional layers as a feature extractor, encoded the features using a bag of words model, and trained a support vector machine (SVM) classifier. Sensitivity and specificity were generally comparable across the three methods, and in the same ranges as our previous work using SURF features with SVM . Approach (3) was less computationally intensive to train but more sensitive to unbalanced representation of the 6 classes in the training data. However we expect CNN performance to improve as we add more training data because both the features and the classifier are learned jointly from the data. *First two authors share first authorship.

  7. Could ultrasonic elastography help the diagnosis of small ({<=}2 cm) breast cancer with the usage of sonographic BI-RADS classification?

    Energy Technology Data Exchange (ETDEWEB)

    Zhi, Hui, E-mail: kendy181hui@yahoo.com.cn [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Xiao, Xiao-yun, E-mail: papayaxxy@163.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Ou, Bing, E-mail: oubing77@163.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Zhong, Wen-jing, E-mail: zhongwj7111@126.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Zhao, Zi-zhuo, E-mail: solo_zzz@126.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Zhao, Xin-bao, E-mail: zxb8166@126.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Yang, Hai-yun, E-mail: haiyun1972@sohu.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China); Luo, Bao-ming, E-mail: baomingluo2005@126.com [Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiangxi Rd, Guangzhou 510120, Guangdong Province (China)

    2012-11-15

    Objectives: To evaluate the additive value of ultrasound strain elastography (USE) to BI-RADS for the differentiation of benign and malignant breast small lesions. Methods: Breast masses ({<=}2 cm) with histological diagnosis examined by ultrasonography and USE in our department from April 2004 to December 2009 were reviewed. Conventional B-mode ultrasound findings were classified according to the BI-RADS classification. USE findings were classified according to the 5-point scale. Histological diagnosis was used as the reference standard. Results: 401 (246 benign (61.3%), 155 malignant (38.7%)) from 370 consecutive patients were included in the study. Sensitivity and specificity were 90.3%, 68.3% for BI-RADS; 72.3%, 91.9% for USE. The sensitivity of BI-RADS was better than that of USE (P < 0.05), while the specificity of USE was better than that of BI-RADS (P < 0.05). A revised BI-RADS combined with USE results was proposed in this study. Sensitivity and specificity were 83.9% and 87.8% for revised BI-RADS. The diagnostic performance of revised BI-RADS was better than BI-RADS (P < 0.05). Conclusions: USE could give BI-RADS some help in the differentiation of benign and malignant breast small lesions. The addition of elastography to BI-RADS could improve the diagnostic performance in <2 cm lesions.

  8. Could ultrasonic elastography help the diagnosis of small (≤2 cm) breast cancer with the usage of sonographic BI-RADS classification?

    Science.gov (United States)

    Zhi, Hui; Xiao, Xiao-yun; Ou, Bing; Zhong, Wen-jing; Zhao, Zi-zhuo; Zhao, Xin-bao; Yang, Hai-yun; Luo, Bao-ming

    2012-11-01

    To evaluate the additive value of ultrasound strain elastography (USE) to BI-RADS for the differentiation of benign and malignant breast small lesions. Breast masses (≤2 cm) with histological diagnosis examined by ultrasonography and USE in our department from April 2004 to December 2009 were reviewed. Conventional B-mode ultrasound findings were classified according to the BI-RADS classification. USE findings were classified according to the 5-point scale. Histological diagnosis was used as the reference standard. 401 (246 benign (61.3%), 155 malignant (38.7%)) from 370 consecutive patients were included in the study. Sensitivity and specificity were 90.3%, 68.3% for BI-RADS; 72.3%, 91.9% for USE. The sensitivity of BI-RADS was better than that of USE (PBI-RADS (PBI-RADS combined with USE results was proposed in this study. Sensitivity and specificity were 83.9% and 87.8% for revised BI-RADS. The diagnostic performance of revised BI-RADS was better than BI-RADS (PBI-RADS some help in the differentiation of benign and malignant breast small lesions. The addition of elastography to BI-RADS could improve the diagnostic performance in <2 cm lesions. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  9. Multiplex Approach in Classification, Diagnosis, and Prognostication in Acute Myeloid Leukemia: An Experience from Tertiary Cancer Center in South India.

    Science.gov (United States)

    Khera, Rachna; Ahmed, Faiq; Mundada, Manasi Chetan; Devi, Sandhya G; Murthy, Sudha S; Lavanya, Nambaru; Rajappa, Senthil J; Mallavarapu, Krishna Mohan; Santa, A

    2017-01-01

    Acute myeloid leukemia (AML) is a heterogeneous group of disorders classified as per FAB subtypes and more recently by WHO by underlying genetic abnormalities. This study aims to analyze the morphology, immunophenotype, cytogenetic and molecular abnormalities in around 200 patients of AML diagnosed over a period of 7 years at our institute and to determine relative frequency of various subtypes (based on FAB and WHO classification). An attempt to characterize the associations between hematological parameters, immunophenotype and these subtypes was also made. All cases diagnosed as AML on morphology, cytochemistry and/or immunophenotyping and tested for recurrent genetic abnormalities during period of Jan 2008-July 2014 were included in the study. Age of presentation was younger in our AML patients as compared to western literature. Amongst FAB and WHO subtypes, M2 and t (15;17) PML-RARA were the most common groups respectively. As expected, CD33, CD13, were the most commonly expressed markers followed by HLA-DR, CD117, CD34 and CD14. Aberrant expression was seen in 62(41.6%) cases, most common was CD7 (15.4%), followed by CD56 (14.8%), CD19 (6.7%) and CD2 (4.7%). Significant associations between immunophenotypic markers and FAB subtypes as well as WHO subtypes were established. This is a hospital based study, giving a detailed account of frequencies of AML subtypes, hematological parameters and immunophenotypic markers in AML patients at our institute. Being a large and one of its kind study to establish significant associations between various haematological and immunophenotypic parameters with respective AML subtypes and genetic abnormalities, it might prove to be very useful in Indian setup where facilities for cytogenetic analysis are not available in many laboratories.

  10. A unifying hypothesis for hydrocephalus, Chiari malformation, syringomyelia, anencephaly and spina bifida.

    Science.gov (United States)

    Williams, Helen

    2008-04-11

    This work is a modified version of the Casey Holter Memorial prize essay presented to the Society for Research into Hydrocephalus and Spina Bifida, June 29th 2007, Heidelberg, Germany. It describes the origin and consequences of the Chiari malformation, and proposes that hydrocephalus is caused by inadequate central nervous system (CNS) venous drainage. A new hypothesis regarding the pathogenesis, anencephaly and spina bifida is described.Any volume increase in the central nervous system can increase venous pressure. This occurs because veins are compressible and a CNS volume increase may result in reduced venous blood flow. This has the potential to cause progressive increase in cerebrospinal fluid (CSF) volume. Venous insufficiency may be caused by any disease that reduces space for venous volume. The flow of CSF has a beneficial effect on venous drainage. In health it moderates central nervous system pressure by moving between the head and spine. Conversely, obstruction to CSF flow causes localised pressure increases, which have an adverse effect on venous drainage.The Chiari malformation is associated with hindbrain herniation, which may be caused by low spinal pressure relative to cranial pressure. In these instances, there are hindbrain-related symptoms caused by cerebellar and brainstem compression. When spinal injury occurs as a result of a Chiari malformation, the primary pathology is posterior fossa hypoplasia, resulting in raised spinal pressure. The small posterior fossa prevents the flow of CSF from the spine to the head as blood enters the central nervous system during movement. Consequently, intermittent increases in spinal pressure caused by movement, result in injury to the spinal cord. It is proposed that posterior fossa hypoplasia, which has origins in fetal life, causes syringomyelia after birth and leads to damage to the spinal cord in spina bifida. It is proposed that hydrocephalus may occur as a result of posterior fossa hypoplasia, where

  11. A unifying hypothesis for hydrocephalus, Chiari malformation, syringomyelia, anencephaly and spina bifida

    Directory of Open Access Journals (Sweden)

    Williams Helen

    2008-04-01

    Full Text Available Abstract This work is a modified version of the Casey Holter Memorial prize essay presented to the Society for Research into Hydrocephalus and Spina Bifida, June 29th 2007, Heidelberg, Germany. It describes the origin and consequences of the Chiari malformation, and proposes that hydrocephalus is caused by inadequate central nervous system (CNS venous drainage. A new hypothesis regarding the pathogenesis, anencephaly and spina bifida is described. Any volume increase in the central nervous system can increase venous pressure. This occurs because veins are compressible and a CNS volume increase may result in reduced venous blood flow. This has the potential to cause progressive increase in cerebrospinal fluid (CSF volume. Venous insufficiency may be caused by any disease that reduces space for venous volume. The flow of CSF has a beneficial effect on venous drainage. In health it moderates central nervous system pressure by moving between the head and spine. Conversely, obstruction to CSF flow causes localised pressure increases, which have an adverse effect on venous drainage. The Chiari malformation is associated with hindbrain herniation, which may be caused by low spinal pressure relative to cranial pressure. In these instances, there are hindbrain-related symptoms caused by cerebellar and brainstem compression. When spinal injury occurs as a result of a Chiari malformation, the primary pathology is posterior fossa hypoplasia, resulting in raised spinal pressure. The small posterior fossa prevents the flow of CSF from the spine to the head as blood enters the central nervous system during movement. Consequently, intermittent increases in spinal pressure caused by movement, result in injury to the spinal cord. It is proposed that posterior fossa hypoplasia, which has origins in fetal life, causes syringomyelia after birth and leads to damage to the spinal cord in spina bifida. It is proposed that hydrocephalus may occur as a result of

  12. Comparison of the scoliosis curve patterns and MRI syrinx cord characteristics of idiopathic syringomyelia versus Chiari I malformation.

    Science.gov (United States)

    Zhu, Zezhang; Sha, Shifu; Chu, Winnie C C; Yan, Huang; Xie, Dingding; Liu, Zhen; Sun, Xu; Zhu, Weiguo; Cheng, Jack C Y; Qiu, Yong

    2016-02-01

    Although the more readily available MR imaging has brought about more incidental findings of idiopathic syringomyelia (IS), no published study has specifically addressed the clinical and imaging features of IS-associated scoliosis. Since IS and Chiari I malformation (CMI)-type syringomyelia are hypothesized to share a common underlying developmental pathomechanism, this study aimed to investigate the scoliosis curve patterns and MRI syrinx cord characteristics of patients with IS comparing with those seen in CMI. Sixty-one patients with scoliosis secondary to IS were identified and reviewed retrospectively. The curve pattern and specific curve features were recorded and compared with historic CMI controls. Location, size, and morphological appearance of the syrinx were systematically assessed on MR images. The maximal syrinx/cord ratio and rostrocaudal length of the syrinx in IS averaged 0.43 ± 0.16 (range 0.17-0.78) and 4.6 ± 2.5 (range 2-15) vertebral levels, respectively, both of which were smaller than those reported in CMI-type syringomyelia. Regarding the characteristics of IS-related scoliosis, sagittal profiles as well as the frequency of curve patterns and atypical features were all found to resemble those in patients with CMI (P > .05). Among the 47 individuals with a single thoracic curve, Fisher exact test revealed a significant correlation between curve convexity and the dominant side of deviated syrinx (83.3 % concordance rate, P = .021). In addition, apex of the thoracic curve trended toward being significantly correlated with the level of maximum expansion of the syrinx (P = .066). Radiological characteristics of scoliosis were found to be similar between idiopathic and CMI-type syrinx in both the coronal and sagittal planes, adding further evidence to the concept that these entities may be part of a spectrum of disease sharing a common pathophysiological mechanism. The thoracic spine in IS patients tended to be convex to the deviated side of

  13. Positive predictive value of International Classification of Diseases, 10th revision, diagnosis codes for cardiogenic, hypovolemic, and septic shock in the Danish National Patient Registry.

    Science.gov (United States)

    Lauridsen, Marie Dam; Gammelager, Henrik; Schmidt, Morten; Nielsen, Henrik; Christiansen, Christian Fynbo

    2015-03-20

    Large registries are important data sources in epidemiological studies of shock, if these registries are valid. Therefore, we examined the positive predictive value (PPV) of diagnosis codes for shock, the procedure codes for inotropic/vasopressor therapy among patients with a diagnosis of shock, and the combination of a shock diagnosis and a code for inotropic/vasopressor therapy in the Danish National Patient Registry (DNPR). We randomly selected 190 inpatients with an International Classification of Diseases, 10th revision (ICD-10) diagnosis of shock at Aarhus University Hospital from 2005-2012 using the DNPR; 50 patients were diagnosed with cardiogenic shock, 40 patients with hypovolemic shock, and 100 patients with septic shock. We used medical charts as the reference standard and calculated the PPV with 95% confidence intervals (CI) for overall shock and for each type of shock separately. We also examined the PPV for inotropic/vasopressor therapy and the PPV for shock when a concurrent code for inotropic/vasopressor therapy was also registered. The PPV was 86.1% (95% CI: 79.7-91.1) for shock overall, 93.5% (95% CI: 82.1-98.6) for cardiogenic shock, 70.6% (95% CI: 52.5-84.9) for hypovolemic shock, and 69.2% (95% CI: 57.7-79.2) for septic shock. The PPV of use of inotropes/vasopressors among shock patients was 88.9% (95% CI: 79.3-95.1). When both a shock code and a procedure code for inotropic/vasopressor therapy were used, the PPV for shock overall was 93.1% (95% CI: 84.5-97.7). ICD-10 codes for subtypes of shock and simultaneously registered use of inotropes/vasopressors provided PPVs of 96.0% (95% CI: 79.6-99.9) for cardiogenic shock, 69.2% (95% CI: 38.6-90.9) for hypovolemic shock, and 82.4% (95% CI: 65.5-93.2) for septic shock. Overall, we found a moderately high PPV for shock in the DNPR. The PPV was highest for cardiogenic shock but lower for hypovolemic and septic shock. Combination diagnoses of shock with codes for inotropic/vasopressor therapy further

  14. An Ecological Diagnostic Classification Plan.

    Science.gov (United States)

    Hurst, James C.; McKinley, Donna L.

    1988-01-01

    Discusses the value of diagnostic classification systems to counseling professionals. Describes the Ecological Diagnostic Classification Plan, an approach to diagnosis that includes the environment as a possible cause of pathology and target of intervention. (Author/KS)

  15. Novel use of gamma correction for precise {sup 99m}Tc-HDP pinhole bone scan diagnosis and classification of knee occult fractures

    Energy Technology Data Exchange (ETDEWEB)

    Bahk, Yong-Whee [Sung Ae General Hospital, Department of Nuclear Medicine, Seoul (Korea); Jeon, Ho-Seung [Sung Ae General Hospital, Department of Orthopedic Surgery, Seoul (Korea); Kim, Jang Min [Sung Ae General Hospital, Department of Radiology, Seoul (Korea); Park, Jung Mee; Kim, Sung-Hoon; Chung, Soo-Kyo [The Catholic University of Korea, Department of Radiology, College of Medicine, Seoul (Korea); Chung, Yong-An [The Catholic University of Korea, Department of Radiology, College of Medicine, Seoul (Korea); Incheon St. Mary' s Hospital, Institute of Catholic Integrative Medicine (ICIM), Incheon (Korea); Incheon St. Mary' s Hospital, The Catholic University of Korea, Department of Radiology, Incheon (Korea); Kim, E.E. [University of Texas MD Anderson Cancer Center, Department of Radiology and Nuclear Medicine, Houston, TX (United States)

    2010-08-15

    The aim of this study was to introduce gamma correction pinhole bone scan (GCPBS) to depict specific signs of knee occult fractures (OF) on {sup 99m}Tc-hydroxydiphosphonate (HDP) scan. Thirty-six cases of six different types of knee OF in 27 consecutive patients (male = 20, female = 7, and age = 18-86 years) were enrolled. The diagnosis was made on the basis of a history of acute or subacute knee trauma, local pain, tenderness, cutaneous injury, negative conventional radiography, and positive magnetic resonance imaging (MRI). Because of the impracticability of histological verification of individual OF, MRI was utilized as a gold standard of diagnosis and classification. All patients had {sup 99m}Tc-HDP bone scanning and supplementary GCPBS. GCPBS signs were correlated and compared with those of MRI. The efficacy of gamma correction of ordinary parallel collimator and pinhole collimator scans were collated. Gamma correction pinhole bone scan depicted the signs characteristic of six different types of OF. They were well defined stuffed globular tracer uptake in geographic I fractures (n = 9), block-like uptake in geographic II fractures (n = 7), simple or branching linear uptake in linear cancellous fractures (n = 4), compression in impacted fractures (n = 2), stippled-serpentine uptake in reticular fractures (n = 11), and irregular subcortical uptake in osteochondral fractures (n = 3). All fractures were equally well or more distinctly depicted on GCPBS than on MRI except geographic II fracture, the details of which were not appreciated on GCPBS. Parallel collimator scan also yielded to gamma correction, but the results were inferior to those of the pinhole scan. Gamma correction pinhole bone scan can depict the specific diagnostic signs in six different types of knee occult fractures. The specific diagnostic capability along with the lower cost and wider global availability of bone scanning would make GCPBS an effective alternative. (orig.)

  16. Positive predictive value of the International Classification of Diseases, 10th edition diagnosis codes for anemia caused by bleeding in the Danish National Registry of Patients.

    Science.gov (United States)

    Zalfani, Jihen; Frøslev, Trine; Olsen, Morten; Ben Ghezala, Inès; Gammelager, Henrik; Arendt, Johan Fb; Erichsen, Rune

    2012-01-01

    Valid data on anemia caused by bleeding are needed for epidemiological research and monitoring health care. The Danish National Registry of Patients (DNRP) is a nationwide medical database with information on all Danish residents' hospital history. We aimed to assess the positive predictive value (PPV) of the diagnostic coding of anemia caused by bleeding in the DNRP. In the DNRP, we identified all patients with International Classification of Disease, 10th edition codes for anemia caused by bleeding (acute: D50.0; chronic: D62.6) at three Danish hospitals from 2000 through 2009. For these patients we computed the PPV using hemoglobin level data, from Aarhus University laboratory database, as reference standard. Anemia was defined by a hemoglobin level less than 7.0 mmol/L for women and less than 8.0 mmol/L for men. We identified 3391 patients in the DNRP with a diagnosis of anemia caused by bleeding. The overall PPV was 95.4% (95% confidence interval [CI]: 94.6%-96.0%). The PPV was 97.6% (95% CI: 96.6%-98.3%) for men and 94.0% (95% CI: 92.9%-94.9%) for women, and the PPV increased with age at diagnosis. The PPV varied according to type of discharging departments, from 89.2% (95% CI: 83.4%-93.4%) in gynecology to 96.8% (95% CI: 94.9%-98.2%) in surgery, and was lower for outpatients compared with inpatients. We found a high PPV of the coding for anemia caused by bleeding in the DNRP. The registry is a valid source of data on anemia caused by bleeding for various purposes including research and monitoring health care.

  17. Anesthetic Management in Arnold Chiari Malformation with Syringomyelia: Case Report [Siringomiyelinli Arnold Chiari Malformasyonda Anestezik Yaklaşım: Olgu Sunumu

    OpenAIRE

    Şanli, Mukadder; Durak, Mehmet Akif; Şanli, Bayram; Gülhaş, Nurçin; Gülerce, Hacer; Ersoy, Mehmet Özcan

    2014-01-01

    AbstractArnold Chiari is a congenitally developed malformation. Syringomyelia is accompanied in some of the cases. Four types of malformation have been identified and type I is frequent in adults. Cerebellar tonsils are displaced downward from the foramen magnum in this type. In order to prevent tonsillar herniation, anesthesist should avoid central blocks and increasing intracranial pressure in the management of anesthesia. We aimed to rewiew the management of anesthesia in a patient with de...

  18. Dystonia of the legs induced by walking or passive movement of the big toe in a patient with cerebellar ectopia and syringomyelia.

    Science.gov (United States)

    Berardelli, A; Thompson, P D; Day, B L; Rothwell, J C; O'Brien, M D; Marsden, C D

    1986-01-01

    A 45-year-old man with dystonia of the legs was found to have cerebellar ectopia and syringomyelia. Both walking and passive movements of the big toes evoked dystonic postures of the legs. Electrophysiologic studies suggested that the dystonic movements were reflex in origin. We propose that the cervical spinal cord lesion, involving propriospinal pathways, resulted in an abnormal response of spinal interneurons to peripheral stimuli.

  19. Prevalence and Features of a Probable Diagnosis in First-Visit Headache Patients Based on the Criteria of the Third Beta Edition of the International Classification of Headache Disorders: A Prospective, Cross-Sectional Multicenter Study.

    Science.gov (United States)

    Kim, Soo-Kyoung; Moon, Heui-Soo; Cha, Myong-Jin; Kim, Byung-Su; Kim, Byung-Kun; Park, Jeong-Wook; Park, Kwang-Yeol; Sohn, Jong-Hee; Chu, Min-Kyung; Song, Tae-Jin; Kim, Jae-Moon; Cho, Soo-Jin

    2016-02-01

    This study aimed to determine the characteristics and significance of a probable diagnostic entity for primary headache disorder (PHD). A diagnosis of probable primary headache disorder (PPHD) is given when a patient's headache fulfills all but one criteria of the third beta edition of the international classification of headache disorder (ICHD-3β). Despite the uncertainty regarding this diagnosis, the inclusion of a probable diagnosis entity in this manual may aid in the accurate classification of headache disorders and allow effective treatment strategies to be started at the patient's initial visit. This cross-sectional multicenter registry study assessed first-visit patients with complaints of headaches who presented at the outpatient clinics of 11 neurologists in Korea. The classification of a headache disorder was made according to the criteria of the ICHD-3β by each investigator based on the initial evaluation of the patient or by a consensus meeting for uncertain cases. The rates of a probable diagnosis among PPHD patients were assessed and the clinical characteristics of these patients were compared with those of patients with a diagnosis of definite primary headache disorder (DPHD). A total of 1429 patients were diagnosed with PHD, and 305 (21.3%) of these patients had PPHD. The proportions of PPHD differed among the subtypes of DPHD as follows: migraines (16.1%), tension-type headaches (TTH; 33%), trigeminal autonomic cephalalgia (TAC; 40.9%), and other PHD (14%, P headache intensity than patients with DPHD (5.8 ± 2.2 vs. 6.5 ± 2.1, respectively, P headache from onset (median: 1 vs. 4 months, respectively, P headaches. The incorporation of a probable diagnosis into the ICHD-3β may be useful for reducing the diagnoses of unspecified headaches. © 2016 American Headache Society.

  20. Significant inter-observer variation in the diagnosis of extrapancreatic necrosis and type of pancreatic collections in acute pancreatitis - An international multicenter evaluation of the revised Atlanta classification.

    Science.gov (United States)

    Sternby, Hanna; Verdonk, Robert C; Aguilar, Guadalupe; Dimova, Alexandra; Ignatavicius, Povilas; Ilzarbe, Lucas; Koiva, Peeter; Lantto, Eila; Loigom, Tonis; Penttilä, Anne; Regnér, Sara; Rosendahl, Jonas; Strahinova, Vanya; Zackrisson, Sophia; Zviniene, Kristina; Bollen, Thomas L

    2016-01-01

    For consistent reporting and better comparison of data in research the revised Atlanta classification (RAC) proposes new computed tomography (CT) criteria to describe the morphology of acute pancreatitis (AP). The aim of this study was to analyse the interobserver agreement among radiologists in evaluating CT morphology by using the new RAC criteria in patients with AP. Patients with a first episode of AP who obtained a CT were identified and consecutively enrolled at six European centres backwards from January 2013 to January 2012. A local radiologist at each center and a central expert radiologist scored the CTs separately using the RAC criteria. Center dependent and independent interobserver agreement was determined using Kappa statistics. In total, 285 patients with 388 CTs were included. For most CT criteria, interobserver agreement was moderate to substantial. In four categories, the center independent kappa values were fair: extrapancreatic necrosis (EXPN) (0.326), type of pancreatitis (0.370), characteristics of collections (0.408), and appropriate term of collections (0.356). The fair kappa values relate to discrepancies in the identification of extrapancreatic necrotic material. The local radiologists diagnosed EXPN (33% versus 59%, P < 0.0001) and non-homogeneous collections (35% versus 66%, P < 0.0001) significantly less frequent than the central expert. Cases read by the central expert showed superior correlation with clinical outcome. Diagnosis of EXPN and recognition of non-homogeneous collections show only fair agreement potentially resulting in inconsistent reporting of morphologic findings. Copyright © 2016 IAP and EPC. Published by Elsevier B.V. All rights reserved.

  1. Bracing in adult with scoliosis: experience in diagnosis and classification from a 15 year prospective study of 739 patients

    Directory of Open Access Journals (Sweden)

    Jean Claude de Mauroy

    2016-10-01

    Full Text Available Abstract Background Despite the frequency of adult scoliosis, very few publications concern the conservative orthopaedic treatments. The indications have not been defined to date. The experience of a department specialized in rigid bracing allows us to consolidate and clarify diagnosis and indications as well. Methods Individual observational prospective cohort study from a database started in 1998, with selection of all 739 adult scoliosis patients for which conservative orthopaedic treatment has been proposed to, even in case of drop-out. Scoliosis treated during adolescence and monitored in adulthood are included if a new brace is prescribed. A first descriptive study of the main parameters was performed: gender, age, Cobb angle. A tentative classification according to aetiology, age and angulation is proposed. Results 1 Descriptive Data: The Ratio Female/Male is 88 %, the mean age: 56.97 ± 15.82, the mean Cobb angle: 35.58 ± 17.35. The rate of non-adherent patients not wearing the brace is 17 % (but the plaster cast before bracing was routinely proposed at the time. 2 All patients can be grouped into five diagnoses, all statistically different, according to the age and the initial Cobb angle: Rotatory dislocation: 361 cases, age: 59.73 ± 13.52 (p = 0.05, (Cobb 39.08 ± 16.59 (p = 0.02* Instability and disc disease: 150 cases, age: 46.03 ± 15.49 (p = 0.00*, Cobb: 25.29 ± 12.29 (p = 0.00* Camptocormia: 68 cases, age: 69.78 ± 12.19 (p = 0.00*, Cobb: 38.09 ± 14.23 (p = 0.25 Kyphosis TL or T: 62 cases, age: 60.73 ± 15.51 (p = 0.07, Cobb: 43.34 ± (21.48 (p = 0.00* Disabling pain: 33 cases, age: 48.36 ± 13.73 (p = 0.02*, Cobb: 36.45 ± 25.21 (p = 0.78 Treatment after surgery and in the context of a lumbar stenosis and spondylolisthesis are independent groups. Despite the wide variety of etiologies, nearly 2/3 of patients have a discal pathology like

  2. Classifying Classifications

    DEFF Research Database (Denmark)

    Debus, Michael S.

    2017-01-01

    al. 2013). The analysis aims at three goals: The classifications’ internal consistency, the abstraction of classification criteria and the identification of differences in classification across fields and/or time. Especially the abstraction of classification criteria can be used in future endeavors......This paper critically analyzes seventeen game classifications. The classifications were chosen on the basis of diversity, ranging from pre-digital classification (e.g. Murray 1952), over game studies classifications (e.g. Elverdam & Aarseth 2007) to classifications of drinking games (e.g. LaBrie et...... into the topic of game classifications....

  3. S2k guidelines for diverticular disease and diverticulitis. Diagnosis, classification, and therapy for the radiologist; S2k-Leitlinie Divertikelkrankheit und Divertikulitis. Diagnostik, Klassifikation und Therapie fuer die Radiologie

    Energy Technology Data Exchange (ETDEWEB)

    Schreyer, A.G. [University Hospital Regensburg (Germany). Inst. of Radiology; Layer, G. [Ludwigshafen Hospital (Germany). Central Inst. for Diagnostic and Interventional Radiology

    2015-08-15

    Diverticular disease and diverticulitis represent an increasingly common disease especially in patients with advanced age. The German Society of Digestive and Metabolic Diseases (DGVS) as well as the German Society of General and Visceral Surgery (DGAV) in collaboration with the German Radiology Society (DRG) created and published S2k guidelines regarding this topic. Knowledge of the diagnosis and therapy of this common disease is extremely important for the radiologist for the daily clinical routine. In this article we review and discuss the most important clinical situations and algorithms of this disease focusing on radiological topics. Additionally, we introduce the new CCD (classification of diverticular disease) system regarding radiology.

  4. Erectile dysfunction as a manifestation of urogenital autonomic neuropathy in patients with type 1 diabetes: epidemiology, classification, pathophysiology, diagnosis and treatment options

    OpenAIRE

    Gagik Radikovich Galstyan; yana Grigor'evna Shwarts; Sergey Anatol'evich Dubsky; Aleksandr Evgen'evich Lepetukhin; Roman Viktorovich Rozhivanov; Dmitry Gennadievich Kurbatov

    2014-01-01

    Sexual dysfunction characterized by a significant decline in the quality of life of patients and leading to infertility and problems in social life is diagnosed in more than 40% of patients with diabetes mellitus (DM).Erectile dysfunction is the most common sexual disorder in DM patients. The article describes epidemiology, classification, pathophysiology, diagnostic and treatment of erectile dysfunction in T1DM patients.

  5. Classification of hand eczema

    DEFF Research Database (Denmark)

    Agner, T; Aalto-Korte, K; Andersen, K E

    2015-01-01

    BACKGROUND: Classification of hand eczema (HE) is mandatory in epidemiological and clinical studies, and also important in clinical work. OBJECTIVES: The aim was to test a recently proposed classification system of HE in clinical practice in a prospective multicentre study. METHODS: Patients were......%) could not be classified. 38% had one additional diagnosis and 26% had two or more additional diagnoses. Eczema on feet was found in 30% of the patients, statistically significantly more frequently associated with hyperkeratotic and vesicular endogenous eczema. CONCLUSION: We find that the classification...

  6. Erectile dysfunction as a manifestation of urogenital autonomic neuropathy in patients with type 1 diabetes: epidemiology, classification, pathophysiology, diagnosis and treatment options

    Directory of Open Access Journals (Sweden)

    Gagik Radikovich Galstyan

    2014-05-01

    Full Text Available Sexual dysfunction characterized by a significant decline in the quality of life of patients and leading to infertility and problems in social life is diagnosed in more than 40% of patients with diabetes mellitus (DM.Erectile dysfunction is the most common sexual disorder in DM patients. The article describes epidemiology, classification, pathophysiology, diagnostic and treatment of erectile dysfunction in T1DM patients.

  7. MINIMAL REQUIREMENTS FOR THE DIAGNOSIS, CLASSIFICATION, AND EVALUATION OF THE TREATMENT OF CHILDHOOD ACUTE LYMPHOBLASTIC-LEUKEMIA (ALL) IN THE BFM FAMILY COOPERATIVE GROUP

    NARCIS (Netherlands)

    VANDERDOESVANDENBERG, A; BARTRAM, CR; BASSO, G; BENOIT, YCM; BIONDI, A; DEBATIN, KM; HAAS, OA; HARBOTT, J; KAMPS, WA; KOLLER, U; LAMPERT, F; LUDWIG, WD; NIEMEYER, CM; VANWERING, ER

    1992-01-01

    Minimal requirements and their rationale for the diagnosis and the response to treatment in childhood acute lymphoblastic leukemia (ALL) were defined in the recently instituted "BFM-Family"-Group, in which the German, Austrian, Dutch, Italian, Belgian, French and Hungarian childhood leukemia study

  8. Bosniak classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne S; Karstoft, Jens

    2015-01-01

    BACKGROUND: The Bosniak classification is a diagnostic tool for the differentiation of cystic changes in the kidney. The process of categorizing renal cysts may be challenging, involving a series of decisions that may affect the final diagnosis and clinical outcome such as surgical management. PU...

  9. Malignancy rates and diagnostic performance of the Bosniak classification for the diagnosis of cystic renal lesions in computed tomography - a systematic review and meta-analysis.

    Science.gov (United States)

    Sevcenco, Sabina; Spick, Claudio; Helbich, Thomas H; Heinz, Gertraud; Shariat, Shahrokh F; Klingler, Hans C; Rauchenwald, Michael; Baltzer, Pascal A

    2017-06-01

    To systematically review the literature on the Bosniak classification system in CT to determine its diagnostic performance to diagnose malignant cystic lesions and the prevalence of malignancy in Bosniak categories. A predefined database search was performed from 1 January 1986 to 18 January 2016. Two independent reviewers extracted data on malignancy rates in Bosniak categories and several covariates using predefined criteria. Study quality was assessed using QUADAS-2. Meta-analysis included data pooling, subgroup analyses, meta-regression and investigation of publication bias. A total of 35 studies, which included 2,578 lesions, were investigated. Data on observer experience, inter-observer variation and technical CT standards were insufficiently reported. The pooled rate of malignancy increased from Bosniak I (3.2 %, 95 % CI 0-6.8, I 2  = 5 %) to Bosniak II (6 %, 95 % CI 2.7-9.3, I 2  = 32 %), IIF (6.7 %, 95 % CI 5-8.4, I 2  = 0 %), III (55.1 %, 95 % CI 45.7-64.5, I 2  = 89 %) and IV (91 %, 95 % CI 87.7-94.2, I 2  = 36). Several study design-related influences on malignancy rates and subsequent diagnostic performance indices were identified. The Bosniak classification is an accurate tool with which to stratify the risk of malignancy in renal cystic lesions. • The Bosniak classification can accurately rule out malignancy. • Specificity remains moderate at 74 % (95 % CI 64-82). • Follow-up examinations should be considered in Bosniak IIF and Bosniak II cysts. • Data on the influence of reader experience and inter-reader variability are insufficient. • Technical CT standards and publication year did not influence diagnostic performance.

  10. The effect of a sitting vs supine posture on normative esophageal pressure topography metrics and Chicago Classification diagnosis of esophageal motility disorders.

    Science.gov (United States)

    Xiao, Y; Read, A; Nicodème, F; Roman, S; Kahrilas, P J; Pandolfino, J E

    2012-10-01

    Although, the current protocol for high resolution manometry (HRM) using the Chicago Classification is based on the supine posture, some practitioners prefer a sitting posture. Our aims were to establish normative esophageal pressure topography data for the sitting position and to determine the effect of applying those norms to Chicago Classification diagnoses. Esophageal pressure topography studies including test swallows in both a supine and sitting position of 75 healthy volunteers and 120 patients were reviewed. Integrated relaxation pressure (IRP), distal contractile integral (DCI), contractile front velocity (CFV), and distal latency were measured and compared between postures. Normative ranges were established from the healthy volunteers and the effect of applying sitting normative values to the patients was analyzed. Normative values of IRP, DCI, and CFV all decreased significantly in the sitting posture. Applying normative sitting metrics to patient studies [27% reduction in IRP (15 to 11 mmHg), 69% reduction in DCI (8000-2500 mmHg-s-cm)] reclassified 13/120 (11%) patients as having abnormal esophagogastric junction relaxation and 26/120 (22%) as hypercontractile. Three patients with an abnormal supine IRP normalized when sitting with elimination of a vascular artifact. Clinical HRM studies should include both a supine and sitting position to minimize misdiagnoses attributable to anatomical factors. However, until outcome studies demonstrating the significance of isolated abnormalities of IRP or DCI in the sitting position are available, the Chicago Classification of esophageal motility disorders should continue to be based on supine swallows using normative data from the supine posture. © 2012 Blackwell Publishing Ltd.

  11. The effect of a sitting versus supine posture on normative esophageal pressure topography metrics and Chicago Classification diagnosis of esophageal motility disorders

    Science.gov (United States)

    Xiao, Yinglian; Read, Andrew; Nicodème, Frédéric; Roman, Sabine; Kahrilas, Peter J.; Pandolfino, John E.

    2013-01-01

    Background and aims Although, the current protocol for high resolution manometry (HRM) using the Chicago Classification is based on the supine posture, some practitioners prefer a sitting posture. Our aims were to establish normative esophageal pressure topography (EPT) data for the sitting position and to determine the effect of applying those norms to Chicago Classification diagnoses. Method EPT studies including test swallows in both a supine and sitting position of 75 healthy volunteers and 120 patients were reviewed. Integrated relaxation pressure (IRP), distal contractile integral (DCI), contractile front velocity (CFV) and distal latency (DL) were measured and compared between postures. Normative ranges were established from the healthy volunteers and the effect of applying sitting normative values to the patients was analyzed. Result Normative values of IRP, DCI and CFV all decreased significantly in the sitting posture. Applying normative sitting metrics to patient studies (27% reduction in IRP (15 to 11 mmHg), 69% reduction in DCI (8,000 to 2500 mmHg-s-cm)) reclassified 13/120 (11%) patients as having abnormal EGJ relaxation and 26/120 (22%) as hypercontractile. Three patients with an abnormal supine IRP normalized when sitting with elimination of a vascular artifact. Conclusion Clinical HRM studies should include both a supine and sitting position to minimize misdiagnoses attributable to anatomical factors. However, until outcome studies demonstrating the significance of isolated abnormalities of IRP or DCI in the sitting position are available, the Chicago Classification of esophageal motility disorders should continue to be based on supine swallows using normative data from the supine posture. PMID:22897486

  12. The EAACI/GA²LEN/EDF/WAO Guideline for the Definition, Classification, Diagnosis and Management of Urticaria. The 2017 Revision and Update

    DEFF Research Database (Denmark)

    Zuberbier, T; Aberer, W; Asero, R

    2018-01-01

    urticaria and other chronic forms of urticaria are disabling, impair quality of life, and affect performance at work and school. This guideline covers the definition and classification of urticaria, taking into account the recent progress in identifying its causes, eliciting factors and pathomechanisms...... of the European Academy of Allergology and Clinical Immunology (EAACI), the EU-founded network of excellence, the Global Allergy and Asthma European Network (GA²LEN), the European Dermatology Forum (EDF), and the World Allergy Organization (WAO) with the participation of 48 delegates of 42 national...

  13. Management of parturients in active labor with Arnold Chiari malformation, tonsillar herniation, and syringomyelia

    Science.gov (United States)

    Ghaly, Ramsis F.; Tverdohleb, Tatiana; Candido, Kenneth D.; Knezevic, Nebojsa Nick

    2017-01-01

    Background: Arnold-Chiari malformation Type 1 (ACM-1) in parturients is a topic of ongoing discussion between obstetricians and anesthesiologists. The primary unanswered question remains; How should the anesthesia provider proceed with labor analgesia and anesthesia for cesarean section when confronted with an advanced, asymptomatic, or minimally symptomatic case of ACM-1 during labor? Case Description: A 24-year-old, ASA II, G1P0 full-term parturient presented to Labor and Delivery for vaginal delivery. A diagnosis of ACM-1 was made 12 years ago when a brain magnetic resonance imaging (MRI) was performed for right-sided numbness following a rear-end motor vehicle collision. The patient had been asymptomatic since then and had been seen by an outside neurologist frequently for the past 10 years. During the anesthesia evaluation, it was noted that she had an exaggerated patellar reflex, and a questionable left-sided Babinski; subsequently, an MRI study was requested. Review of a brain MRI demonstrated an advanced form of ACM with a 1.7 cm transtonsillar herniation and a large syrinx extending from C1 down to C5. Following a discussion with the patient, family, and primary OB team, a plan for elective cesarean section was made per neurosurgical recommendations. This was conducted uneventfully under general anesthesia. The patient had no complaints in the post-anesthesia care unit. Conclusion: Unfamiliarity of health care providers with regards to ACM-1 parturients can be countered by increasing awareness of this condition throughout medical specialties involved in their care. The Ghaly Obstetric Guide to Arnold-Chiari malformation Type 1, along with proper training of anesthesia care providers regarding the specificities of ACM-1 parturients aids in better management and understanding of this complex condition. PMID:28217389

  14. Management of parturients in active labor with Arnold Chiari malformation, tonsillar herniation, and syringomyelia.

    Science.gov (United States)

    Ghaly, Ramsis F; Tverdohleb, Tatiana; Candido, Kenneth D; Knezevic, Nebojsa Nick

    2017-01-01

    Arnold-Chiari malformation Type 1 (ACM-1) in parturients is a topic of ongoing discussion between obstetricians and anesthesiologists. The primary unanswered question remains; How should the anesthesia provider proceed with labor analgesia and anesthesia for cesarean section when confronted with an advanced, asymptomatic, or minimally symptomatic case of ACM-1 during labor? A 24-year-old, ASA II, G1P0 full-term parturient presented to Labor and Delivery for vaginal delivery. A diagnosis of ACM-1 was made 12 years ago when a brain magnetic resonance imaging (MRI) was performed for right-sided numbness following a rear-end motor vehicle collision. The patient had been asymptomatic since then and had been seen by an outside neurologist frequently for the past 10 years. During the anesthesia evaluation, it was noted that she had an exaggerated patellar reflex, and a questionable left-sided Babinski; subsequently, an MRI study was requested. Review of a brain MRI demonstrated an advanced form of ACM with a 1.7 cm transtonsillar herniation and a large syrinx extending from C1 down to C5. Following a discussion with the patient, family, and primary OB team, a plan for elective cesarean section was made per neurosurgical recommendations. This was conducted uneventfully under general anesthesia. The patient had no complaints in the post-anesthesia care unit. Unfamiliarity of health care providers with regards to ACM-1 parturients can be countered by increasing awareness of this condition throughout medical specialties involved in their care. The Ghaly Obstetric Guide to Arnold-Chiari malformation Type 1, along with proper training of anesthesia care providers regarding the specificities of ACM-1 parturients aids in better management and understanding of this complex condition.

  15. Malignancy rates and diagnostic performance of the Bosniak classification for the diagnosis of cystic renal lesions in computed tomography - a systematic review and meta-analysis

    Energy Technology Data Exchange (ETDEWEB)

    Sevcenco, Sabina; Shariat, Shahrokh F. [Medical University of Vienna, Department of Urology, Vienna (Austria); Spick, Claudio; Helbich, Thomas H.; Baltzer, Pascal A. [Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, General Hospital Vienna, Vienna (Austria); Heinz, Gertraud [University Hospital of Sankt-Poelten, Department of Radiology, Poelten (Austria); Klingler, Hans C. [Wilhelminenspital, Department of Urology, Vienna (Austria); Rauchenwald, Michael [Donauspital, Department of Urology, Vienna (Austria)

    2017-06-15

    To systematically review the literature on the Bosniak classification system in CT to determine its diagnostic performance to diagnose malignant cystic lesions and the prevalence of malignancy in Bosniak categories. A predefined database search was performed from 1 January 1986 to 18 January 2016. Two independent reviewers extracted data on malignancy rates in Bosniak categories and several covariates using predefined criteria. Study quality was assessed using QUADAS-2. Meta-analysis included data pooling, subgroup analyses, meta-regression and investigation of publication bias. A total of 35 studies, which included 2,578 lesions, were investigated. Data on observer experience, inter-observer variation and technical CT standards were insufficiently reported. The pooled rate of malignancy increased from Bosniak I (3.2 %, 95 % CI 0-6.8, I{sup 2} = 5 %) to Bosniak II (6 %, 95 % CI 2.7-9.3, I{sup 2} = 32 %), IIF (6.7 %, 95 % CI 5-8.4, I{sup 2} = 0 %), III (55.1 %, 95 % CI 45.7-64.5, I{sup 2} = 89 %) and IV (91 %, 95 % CI 87.7-94.2, I{sup 2} = 36). Several study design-related influences on malignancy rates and subsequent diagnostic performance indices were identified. The Bosniak classification is an accurate tool with which to stratify the risk of malignancy in renal cystic lesions. (orig.)

  16. Hypersensitivity to nonsteroidal anti-inflammatory drugs (NSAIDs) - classification, diagnosis and management: review of the EAACI/ENDA(#) and GA2LEN/HANNA*.

    Science.gov (United States)

    Kowalski, Marek L; Makowska, J S; Blanca, M; Bavbek, S; Bochenek, G; Bousquet, J; Bousquet, P; Celik, G; Demoly, P; Gomes, E R; Niżankowska-Mogilnicka, E; Romano, A; Sanchez-Borges, M; Sanz, M; Torres, M J; De Weck, A; Szczeklik, A; Brockow, K

    2011-07-01

    Nonsteroidal anti-inflammatory drugs (NSAIDs) are responsible for 21-25% of reported adverse drug events which include immunological and nonimmunological hypersensitivity reactions. This study presents up-to-date information on pathomechanisms, clinical spectrum, diagnostic tools and management of hypersensitivity reactions to NSAIDs. Clinically, NSAID hypersensitivity is particularly manifested by bronchial asthma, rhinosinusitis, anaphylaxis or urticaria and variety of late cutaneous and organ-specific reactions. Diagnosis of hypersensitivity to a NSAID includes understanding of the underlying mechanism and is necessary for prevention and management. A stepwise approach to the diagnosis of hypersensitivity to NSAIDs is proposed, including clinical history, in vitro testing and/or provocation test with a culprit or alternative drug depending on the type of the reaction. The diagnostic process should result in providing the patient with written information both on forbidden and on alternative drugs. © 2011 John Wiley & Sons A/S.

  17. One-Stage Correction Surgery of Scoliosis Associated With Syringomyelia: Is it Safe to Leave Untreated a Syrinx Without Neurological Symptom?

    Science.gov (United States)

    Wang, Guodong; Sun, Jianmin; Jiang, Zhensong; Cui, Xingang; Cui, Jiangchao

    2015-06-01

    Retrospective study. To investigate the safety to leave a syrinx untreated in 1-stage correction surgery of scoliosis associated with syringomyelia without progressive neurological symptom. The present protocol for patients with scoliosis secondary to syringomyelia advocated to treat the syrinx first because of the increased risk in correction surgery. However, in daily life, these patients could still do lateral bending, in which spinal cord distracted albeit without any neurological symptom occurred. Twenty-one consecutive patients with scoliosis associated with syringomyelia with or without Chiari malformation underwent surgery in our department from 2003 to 2010 were included in this study. Patients with progressive neural deficits were excluded. Every patient received detailed neurological and radiologic examination before the surgery, including whole spine films, lateral-bending and fulcrum-bending films, 3-dimensional computed tomography scan, and magnetic resonance imaging. All the patients underwent 1-stage correction surgery without treatment of syrinx. During the surgery, Spinal Cord Monitor (SCM) and wake-up test were used to prevent serious neurological complications. At follow-up, patients received neurological examination and whole spine x-ray films. There were 13 male and 8 female patients. Before the surgery, 3 patients complained wasting of the intrinsic muscles of hand, 1 complained numbness of left upper extremity, and 4 complained back pain. Negative abdomen reflex occurred on 12 of 21 patients. All the patients were single major curve, including 14 thoracic curves and 7 thoracolumbar curves. The mean preoperative Cobb angle of scoliosis was 68.05±20.1 degrees, on bending films was 39.48±21.56 degrees, postoperative was 23.19±14.14 degrees, at final follow-up was 25.76±14.46 degrees. The mean flexibility was 0.452±0.158, correction ratio was 0.685±0.140. During the operation, SCM showed motor evoked potential (MEP) loss transiently in 2

  18. Text classification

    OpenAIRE

    Deveikis, Karolis

    2016-01-01

    This paper investigates the problem of text classification. The task of text classification is to assign a piece of text to one of several categories based on its content. Text classification is one of the tasks of natural language processing. Like the others, it is often solved using machine learning algorithms. There are many algorithms suitable for text classification. As a result, a problem of choice arises. In an effort to solve this problem, this paper analyzes various feature extractio...

  19. Posterior reduction and internal fixation with posterior cranial fossa cranioectomy decompression for Chiari malformation type Ⅰ with basilar invagination, atlantoaxial subluxation, and syringomyelia

    Directory of Open Access Journals (Sweden)

    HU Peng

    2012-08-01

    Full Text Available Background Chiari malformation type Ⅰ(CM-Ⅰ is one of the soft tissue anomalies in craniovertebral junction (CVJ. This kind of soft tissue anomaly usually develops with bone anomaly, such as atlantoaxial subluxation, basilar invagination, platybasia, C1 assimilation, etc. For these complex combined anomalies, the treatment remains unaddressed. This study was performed to evaluate the effect of posterior reduction and internal fixation with posterior cranial fossa cranioectomy decompression for Chiari malformation type Ⅰ with basilar invagination, atlantoaxial subluxation, and syringomyelia. Methods Patients with basilar invagination and atlantoaxial subluxation treated from July 2004 to September 2011 were reviewed. Including criterions were made to screen matching patients. Including patients were retrospectively analyzed on both clinical outcomes and radiographical results. Japanese Orthopaedic Association (JOA score was used to evaluate the clinical outcomes, while the syrinx maximum size was measured on transverse view of MRI T2 image. The results were analyzed by SPSS 17.0 using t -text. Significant difference was considered when P ≤ 0.05. Results Fourteen patients met the including criterions, including 4 male patients and 10 female patients, with a mean age of 31.86 ± 11.36 (standard deviation, range: 17-51 years. Mean JOA score preoperatively of 14 patients was 13.07 ± 1.59 (standard deviation, while that was 15.57 ± 1.02 (standard deviation postoperatively (t = 9.946, P = 0.000. The mean syrinx size was (7.05 ± 1.98 mm (standard deviation, while that was (2.21 ± 1.91 mm (standard deviation postoperatively (t = 7.271, P = 0.000. There were no procedure-related morbidity or mortality happened. Conclusion Direct posterior reduction and internal fixation with posterior cranial fossa cranioectomy decompression can obviously improve the clinical outcomes and shrink syrinx for patients suffered from Chiari malformation typeⅠ with

  20. Clinical classification of syncope.

    Science.gov (United States)

    Sutton, Richard

    2013-01-01

    Syncope is a presenting symptom, and in itself is not a diagnosis. An etiology or a mechanism must be sought in all cases. Currently, most clinicians classify syncope on clinical grounds by attempting to ascertain its etiology. They then use this classification to guide further management. Using this approach, reflex syncope is the most common form of syncope, occurring in approximately 60% of syncope presentations. Orthostatic hypotension presents in around 15% with arrhythmic syncope in 10% and structural heart disease as the cause of syncope in 5%; in 10% of patients no diagnosis is made. An alternative classification system uses the mechanism of syncope derived from an implanted ECG loop recorder (ILR). While this approach may be of value for optimizing therapy, it cannot be considered as the primary classification since ILRs are not typically implanted early in the evaluation process of most patients. ILRs are usually placed after "risk stratification" in those deemed not to be at high risk but remain in the uncertain etiology category. Furthermore, there exists, in current ILR technology, lack of ambulatory blood pressure monitoring capability. Thus, vasodilation leading to hypotension, the main trigger of cerebral hypoperfusion other than bradycardia, cannot be detected and is currently unavailable for use in a mechanistic-based classification. Thus, the etiological classification remains the basis for both risk stratification and subsequent clinical management. Copyright © 2013 Elsevier Inc. All rights reserved.

  1. Beyond diagnosis: the Core Sets for persons with schizophrenia based on the World Health Organization's International Classification of Functioning, Disability, and Health.

    Science.gov (United States)

    Gómez-Benito, Juana; Guilera, Georgina; Barrios, Maite; Rojo, Emilio; Pino, Oscar; Gorostiaga, Arantxa; Balluerka, Nekane; Hidalgo, María Dolores; Padilla, José Luis; Benítez, Isabel; Selb, Melissa

    2017-07-30

    Based on the International Classification of Functioning, Disability and Health (ICF), this paper presents the results of the process to develop the Comprehensive and Brief Core Sets for schizophrenia that allow to comprehensively describe functioning in persons with schizophrenia. Twenty health professionals from diverse backgrounds participated in a formal and iterative decision-making process during an international consensus conference to develop these Core Sets. The conference was carried out based on evidence gathered from four preparatory studies (systematic literature review, qualitative study, expert survey, and empirical study). The first step of this decision-making and consensus process comprised of discussions and voting in working groups and plenary sessions to develop the comprehensive version. The categories of the Comprehensive ICF Core Set for schizophrenia served as the basis for the second step -a ranking and cutoff procedure to decide on the brief version. Of the 184 candidate categories identified in the preparatory studies, 97 categories were included in the Comprehensive Core Set for schizophrenia. A total of 25 categories were selected to constitute the Brief Core Set. The formal decision-making and consensus process integrating evidence from four preparatory studies and expert opinion led to the first version of the Core Sets for schizophrenia. Comprehensive and Brief Core Sets for schizophrenia may provide a common language among different health professionals and researchers, and a basic international standard of what to measure, report, and assess the functioning of persons with schizophrenia. Implications for rehabilitation Schizophrenia is a chronic mental disorder that has a tremendous impact on functioning and daily life of persons living with the disorder. The International Classification of Functioning, Disability and Health (ICF) offers an internationally recognized standard for describing the functioning status of these

  2. Hemiplegia cruzada associada a impressão basilar, malformação de Arnold-Chiari e siringomielia: relato de caso Cruciate hemiplegia associated with basilar impression, Arnold-Chiari malformation and syringomyelia: case report

    Directory of Open Access Journals (Sweden)

    José Alberto Gonçalves da Silva

    1996-12-01

    Full Text Available Os autores apresentam um caso de hemiplegia cruzada associada a impressão basilar, malformação de Arnold-Chiari e siringomielia. Discutem as propostas anatômicas e a fiopatogenia desta síndrome de ocorrência bastante rara.The authors report a case of cruciate hemiplegia associated with basilar impression, Chiari malformation and syringomyelia. The neuroanatomical controversy, the surgical treatment and the good outcome of the patient are discussed.

  3. Magnetic resonance tomography in the diagnosis of intraarticular tibial plateau fractures: value for fracture classification and spectrum of fracture-associated soft tissue injuries

    International Nuclear Information System (INIS)

    Fischbach, R.; Maintz, D.; Zaehringer, M.; Landwehr, P.; Prokop, A.

    2000-01-01

    Purpose: To compare magnetic resonance imaging (MRI) and X-ray tomography in assessing the type of fracture, degree of comminution and amount of articular surface depression in acute tibial condylar fractures and to describe the associated soft tissue injuries diagnosed with MRI. Method: 27 patients with acute tibial plateau fractures were investigated usig linear X-ray tomography and MRI employing T 1 -weighted and proton density turbo spin echo, STIR, and T 2 -weighted gradient echo images. Fractures were classified according to the AO classification system. The degrees of depression and comminution were measured and soft tissue injuries were recorded. Results: Fractures were classified as type B1 in 7, as B2 in 6, and as B3 in 6 cases by MRI. More complex C-type fractures were diagnosed in 8 cases. MR and X-ray grading were consistent with the exception of two B3 fractures, which were graded as B1 by X-ray tomography. X-ray tomography under-estimated the degree of comminution. 63% of the patients had either meniscal tears or complete ruptures of their cruciate or collateral ligaments. Ten meniscal tears were diagnosed in 9 of 27 patients. Complete tears of the anterior cruciate ligament were seen in 4, and avulsions of the posterior cruciate ligament in 2 patients. Conclusion: MRI allows a detailed assessment of acute tibial plateau fractures and can replace conventional X-ray tomography. The high rate of fracture-associated soft tissue lesions makes MRI an especially valuable tool. (orig.) [de

  4. Standard criteria versus Rosemont classification for EUS-diagnosis of chronic pancreatitis Criterios estándar versus clasificación de Rosemont para el diagnóstico ecoendoscópico de pancreatitis crónica

    Directory of Open Access Journals (Sweden)

    Cristina Jimeno-Ayllón

    2011-12-01

    Full Text Available Aim: to study the possible differences in the final diagnosis of chronic pancreatitis by using standard classification described by Wiersema et al. and the new classification proposed recently by Rosemont. Material and methods: forty-seven patients with the diagnosis of chronic pancreatitis were included in this study. The parenchymal and ductal criteria were studied, the patients were divided in two groups for Wiersema criteria: 4 criteria diagnosis by standard criteria. But 27.66% patients with less than 4 standard criteria would be suggestive according to Rosemont classification (p Objetivo: analizar las posibles diferencias en el diagnóstico final de pancreatitis crónica empleando los criterios estándar descritos por Wiersema y cols. y la nueva clasificación propuesta recientemente en Rosemont. Material y métodos: se incluyen 47 pacientes con diagnóstico de pancreatitis crónica. Se estudian los criterios parenquimatosos y ductales, dividiendo a los pacientes en 2 grupos según los criterios de Wiersema: < 4 criterios, no diagnóstico de pancreatitis crónica, ≥ 4 criterios, diagnóstico de pancreatitis crónica. Se estudiaron nuevamente dichos pacientes aplicando la clasificación de Rosemont: páncreas normal, indeterminado, sugestivo y diagnóstico de pancreatitis crónica. Se analizaron estos datos con la prueba estadística Chi-cuadrado con un intervalo de confianza de 95%. Resultados: en los pacientes con pancreatitis crónica el criterio presente con mayor frecuencia es la lobularidad en 66% de los casos seguido de la dilatación del Wirsung y la presencia de calcificaciones en 57,4% respectivamente. Se observó una asociación estadísticamente significativa entre los resultados de ambas clasificaciones (p < 0,05. La mayor asociación se encontró para pacientes que presentaban más de 4 criterios estándar y diagnóstico definitivo de pancreatitis crónica según la clasificación de Rosemont. Sin embargo, los pacientes que

  5. Personality disorder diagnosis

    OpenAIRE

    WIDIGER, THOMAS A

    2003-01-01

    Every person has a characteristic manner of thinking, feeling, and relating to others. Some of these personality traits can be so dysfunctional as to warrant a diagnosis of personality disorder. The World Health Organization's International Classification of Diseases (ICD- 10) includes ten personality disorder diagnoses. Three issues of particular importance for the diagnosis of personality disorders are their differentiation from other mental disorders, from general persona...

  6. A Poroelastic Fluid/Structure-Interaction Model of Cerebrospinal Fluid Dynamics in the Cord With Syringomyelia and Adjacent Subarachnoid-Space Stenosis.

    Science.gov (United States)

    Bertram, C D; Heil, M

    2017-01-01

    An existing axisymmetric fluid/structure-interaction (FSI) model of the spinal cord, pia mater, subarachnoid space, and dura mater in the presence of syringomyelia and subarachnoid-space stenosis was modified to include porous solids. This allowed investigation of a hypothesis for syrinx fluid ingress from cerebrospinal fluid (CSF). Gross model deformation was unchanged by the addition of porosity, but pressure oscillated more in the syrinx and the subarachnoid space below the stenosis. The poroelastic model still exhibited elevated mean pressure in the subarachnoid space below the stenosis and in the syrinx. With realistic cord permeability, there was slight oscillatory shunt flow bypassing the stenosis via the porous tissue over the syrinx. Weak steady streaming flow occurred in a circuit involving craniocaudal flow through the stenosis and back via the syrinx. Mean syrinx volume was scarcely altered when the adjacent stenosis bisected the syrinx, but increased slightly when the syrinx was predominantly located caudal to the stenosis. The fluid content of the tissues over the syrinx oscillated, absorbing most of the radial flow seeping from the subarachnoid space so that it did not reach the syrinx. To a lesser extent, this cyclic swelling in a boundary layer of cord tissue just below the pia occurred all along the cord, representing a mechanism for exchange of interstitial fluid (ISF) and cerebrospinal fluid which could explain recent tracer findings without invoking perivascular conduits. The model demonstrates that syrinx volume increase is possible when there is subarachnoid-space stenosis and the cord and pia are permeable.

  7. Diagnosis of periodontal diseases using different classification ...

    African Journals Online (AJOL)

    2014-11-29

    Nov 29, 2014 ... using support vector machine (SVM), decision tree (DT), and artificial neural networks (ANNs). Materials and Methods: A total of 150 ... Key words: Algorithm, artificial neural networks, decision tree, periodontal disease, support vector machine ..... tool for clinicians, not as a replacement for clinical judgment.

  8. Idiopathic aplastic anemia: diagnosis and classification.

    Science.gov (United States)

    Dolberg, Osnat Jarchowsky; Levy, Yair

    2014-01-01

    Aplastic anemia (AA) is a disease characterized by pancytopenia and hypoplastic bone marrow caused by the decrease of hematopoietic stem cells. The pathogenesis of AA is complex and involves an abnormal hematopoietic microenvironment, hematopoietic stem cell/progenitor cell deficiencies and immunity disorders. Survival in severe aplastic anemia (SAA) has markedly improved in the past 4 decades because of advances in hematopoietic stem cell transplantation, immunosuppressive and biologic drugs, and supportive care. Herein, we will update the main issues concern AA according to our literature review. Copyright © 2014 Elsevier B.V. All rights reserved.

  9. Food Allergy: Review, Classification and Diagnosis

    Directory of Open Access Journals (Sweden)

    Antonella Cianferoni

    2009-01-01

    Full Text Available Food allergies, defined as an immune response to food proteins, affect as many as 8% of young children and 2% of adults in westernized countries, and their prevalence appears to be rising like all allergic diseases. In addition to well-recognized urticaria and anaphylaxis triggered by IgE antibody-mediated immune responses, there is an increasing recognition of cell-mediated disorders such as eosinophilic esophagitis and food protein-induced enterocolitis. New knowledge is being developed on the pathogenesis of both IgE and non-IgE mediated disease. Currently, management of food allergies consists of educating the patient to avoid ingesting the responsible allergen and initiating therapy if ingestion occurs. However, novel strategies are being studied, including sublingual/oral immunotherapy and others with a hope for future.

  10. Classification in Medical Imaging

    DEFF Research Database (Denmark)

    Chen, Chen

    Classification is extensively used in the context of medical image analysis for the purpose of diagnosis or prognosis. In order to classify image content correctly, one needs to extract efficient features with discriminative properties and build classifiers based on these features. In addition...... to segment breast tissue and pectoral muscle area from the background in mammogram. The second focus is the choices of metric and its influence to the feasibility of a classifier, especially on k-nearest neighbors (k-NN) algorithm, with medical applications on breast cancer prediction and calcification...

  11. Xenolog classification.

    Science.gov (United States)

    Darby, Charlotte A; Stolzer, Maureen; Ropp, Patrick J; Barker, Daniel; Durand, Dannie

    2017-03-01

    Orthology analysis is a fundamental tool in comparative genomics. Sophisticated methods have been developed to distinguish between orthologs and paralogs and to classify paralogs into subtypes depending on the duplication mechanism and timing, relative to speciation. However, no comparable framework exists for xenologs: gene pairs whose history, since their divergence, includes a horizontal transfer. Further, the diversity of gene pairs that meet this broad definition calls for classification of xenologs with similar properties into subtypes. We present a xenolog classification that uses phylogenetic reconciliation to assign each pair of genes to a class based on the event responsible for their divergence and the historical association between genes and species. Our classes distinguish between genes related through transfer alone and genes related through duplication and transfer. Further, they separate closely-related genes in distantly-related species from distantly-related genes in closely-related species. We present formal rules that assign gene pairs to specific xenolog classes, given a reconciled gene tree with an arbitrary number of duplications and transfers. These xenology classification rules have been implemented in software and tested on a collection of ∼13 000 prokaryotic gene families. In addition, we present a case study demonstrating the connection between xenolog classification and gene function prediction. The xenolog classification rules have been implemented in N otung 2.9, a freely available phylogenetic reconciliation software package. http://www.cs.cmu.edu/~durand/Notung . Gene trees are available at http://dx.doi.org/10.7488/ds/1503 . durand@cmu.edu. Supplementary data are available at Bioinformatics online.

  12. Transporter Classification Database (TCDB)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Transporter Classification Database details a comprehensive classification system for membrane transport proteins known as the Transporter Classification (TC)...

  13. Assessment of cerebellar pulsation in dogs with and without Chiari-like malformation and syringomyelia using cardiac-gated cine magnetic resonance imaging.

    Science.gov (United States)

    Driver, C J; Watts, V; Bunck, A C; Van Ham, L M; Volk, H A

    2013-10-01

    Canine Chiari-like malformation (CM) is characterised by herniation of part of the cerebellum through the foramen magnum. In humans with Chiari type I malformation (CM-I), abnormal pulsation of the cerebellum during the cardiac cycle has been documented and is pivotal to theories for the pathogenesis of syringomyelia (SM). In this retrospective study, cardiac-gated cine balanced fast field echo (bFEE) magnetic resonance imaging (MRI) was used to assess pulsation of the brain in dogs and to objectively measure the degree of cerebellar pulsation with the neck in a flexed position. Overall, 17 Cavalier King Charles Spaniels (CKCS) with CM, including eight with SM and nine without SM, were compared with six small breed control dogs. Linear regions of interest were generated for the length of cerebellar herniation from each phase of the cardiac cycle and the degree of cerebellar pulsation was subsequently calculated. Age, bodyweight and angle of neck flexion were also compared. CKCS with CM and SM had significantly greater pulsation of the cerebellum than control dogs (P=0.003) and CKCS with CM only (P=0.031). There was no significant difference in age, bodyweight and angle of neck flexion between the three groups. Cardiac-gated cine bFEE MRI permitted the dynamic visualisation of cerebellar pulsation in dogs. These findings support the current theories regarding the pathogenesis of SM secondary to CM and further highlight the similarities between canine CM and human CM-I. Copyright © 2013 Elsevier Ltd. All rights reserved.

  14. Questionnaire-based Analysis of Owner-reported Scratching and Pain Signs in Cavalier King Charles Spaniels Screened for Chiari-like Malformation and Syringomyelia.

    Science.gov (United States)

    Sparks, C R; Cerda-Gonzalez, S; Griffith, E H; Lascelles, B D X; Olby, N J

    2018-01-01

    Chiari-like malformation (CM) and syringomyelia (SM) cause a pain syndrome in Cavalier King Charles spaniels (CKCS). Clinical signs are not consistently apparent on neurologic examination, and owner reporting of signs provides vital clinical history. However, owner questionnaires for this disease are not well developed. To develop a tool to capture owner-reported clinical signs for use in clinical trials and to compare owner-reported signs with the presence of pain on neurologic examination and SM on magnetic resonance imaging (MRI). Fifty client-owned CKCS. Owners completed a questionnaire and pain/scratch map. Each dog underwent a neurologic examination and craniocervical magnetic resonance imaging (MRI). Questionnaire responses were developed into scores, area of shading for pain/scratch maps was measured, and consistency of responses between these tools was assessed. Owner-reported findings were compared with neurologic examination findings and presence and severity of SM on MRI. Thirty-three dogs were symptomatic and 17 asymptomatic; 30 had SM. The most common sign of pain was crying out when lifted (n = 11). Extent of shaded areas on maps positively correlated with questionnaire scores for pain (r 2  = 0.213, P = 0.006) and scratch (r 2  = 0.104, P = 0.089). Owner-reported findings were not significantly associated with presence or severity of SM or neurologic examination findings. Owner-reported lateralization of signs was significantly associated with SM lateralization (P owner-reported signs with SM highlights our lack of understanding of the pathophysiology of pain in this disease. Copyright © 2017 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc., on behalf of the American College of Veterinary Internal Medicine.

  15. Craniometric Analysis of the Hindbrain and Craniocervical Junction of Chihuahua, Affenpinscher and Cavalier King Charles Spaniel Dogs With and Without Syringomyelia Secondary to Chiari-Like Malformation.

    Science.gov (United States)

    Knowler, Susan P; Kiviranta, Anna-Mariam; McFadyen, Angus K; Jokinen, Tarja S; La Ragione, Roberto M; Rusbridge, Clare

    2017-01-01

    To characterize and compare the phenotypic variables of the hindbrain and craniocervical junction associated with syringomyelia (SM) in the Chihuahua, Affenpinscher and Cavalier King Charles Spaniel (CKCS). Analysis of 273 T1-weighted mid-sagittal DICOM sequences of the hindbrain and craniocervical junction from 99 Chihuahuas, 42 Affenpinschers and 132 CKCSs. The study compared 22 morphometric features (11 lines, eight angles and three ratios) of dogs with and without SM using refined techniques based on previous studies of the Griffon Bruxellois (GB) using Discriminant Function Analysis and ANOVA with post-hoc corrections. The analysis identified 14/22 significant traits for SM in the three dog breeds, five of which were identical to those reported for the GB and suggest inclusion of a common aetiology. One ratio, caudal fossa height to the length of the skull base extended to an imaginary point of alignment between the atlas and supraoccipital bones, was common to all three breeds (p values 0.029 to Chihuahua had a smaller angle between the dens, atlas and basioccipital bone (p value < 0.001); Affenpinschers had a smaller distance from atlas to dens (p value 0.009); CKCS had a shorter distance between the spheno-occipital synchondrosis and atlas (p value 0.007). The selected morphometries successfully characterised conformational changes in the brain and craniocervical junction that might form the basis of a diagnostic tool for all breeds. The severity of SM involved a spectrum of abnormalities, incurred by changes in both angulation and size that could alter neural parenchyma compliance and/or impede cerebrospinal fluid channels.

  16. Use of Morphometric Mapping to Characterise Symptomatic Chiari-Like Malformation, Secondary Syringomyelia and Associated Brachycephaly in the Cavalier King Charles Spaniel.

    Directory of Open Access Journals (Sweden)

    Susan P Knowler

    Full Text Available To characterise the symptomatic phenotype of Chiari-like malformation (CM, secondary syringomyelia (SM and brachycephaly in the Cavalier King Charles Spaniel using morphometric measurements on mid-sagittal Magnetic Resonance images (MRI of the brain and craniocervical junction.This retrospective study, based on a previous quantitative analysis in the Griffon Bruxellois (GB, used 24 measurements taken on 130 T1-weighted MRI of hindbrain and cervical region. Associated brachycephaly was estimated using 26 measurements, including rostral forebrain flattening and olfactory lobe rotation, on 72 T2-weighted MRI of the whole brain. Both study cohorts were divided into three groups; Control, CM pain and SM and their morphometries compared with each other.Fourteen significant traits were identified in the hindbrain study and nine traits in the whole brain study, six of which were similar to the GB and suggest a common aetiology. The Control cohort had the most elliptical brain (p = 0.010, least olfactory bulb rotation (p = 0.003 and a protective angle (p = 0.004 compared to the other groups. The CM pain cohort had the greatest rostral forebrain flattening (p = 0.007, shortest basioccipital (p = 0.019, but a greater distance between the atlas and basioccipital (p = 0.002 which was protective for SM. The SM cohort had two conformation anomalies depending on the severity of craniocervical junction incongruities; i the proximity of the dens (p <0.001 ii increased airorhynchy with a smaller, more ventrally rotated olfactory bulb (p <0.001. Both generated 'concertina' flexures of the brain and craniocervical junction.Morphometric mapping provides a diagnostic tool for quantifying symptomatic CM, secondary SM and their relationship with brachycephaly. It is hypothesized that CM pain is associated with increased brachycephaly and SM can result from different combinations of abnormalities of the forebrain, caudal fossa and craniocervical junction which compromise

  17. Craniometric Analysis of the Hindbrain and Craniocervical Junction of Chihuahua, Affenpinscher and Cavalier King Charles Spaniel Dogs With and Without Syringomyelia Secondary to Chiari-Like Malformation.

    Directory of Open Access Journals (Sweden)

    Susan P Knowler

    Full Text Available To characterize and compare the phenotypic variables of the hindbrain and craniocervical junction associated with syringomyelia (SM in the Chihuahua, Affenpinscher and Cavalier King Charles Spaniel (CKCS.Analysis of 273 T1-weighted mid-sagittal DICOM sequences of the hindbrain and craniocervical junction from 99 Chihuahuas, 42 Affenpinschers and 132 CKCSs. The study compared 22 morphometric features (11 lines, eight angles and three ratios of dogs with and without SM using refined techniques based on previous studies of the Griffon Bruxellois (GB using Discriminant Function Analysis and ANOVA with post-hoc corrections.The analysis identified 14/22 significant traits for SM in the three dog breeds, five of which were identical to those reported for the GB and suggest inclusion of a common aetiology. One ratio, caudal fossa height to the length of the skull base extended to an imaginary point of alignment between the atlas and supraoccipital bones, was common to all three breeds (p values 0.029 to <0.001. Associated with SM were a reduced occipital crest and two acute changes in angulation i 'sphenoid flexure' at the spheno-occipital synchondrosis ii 'cervical flexure' at the foramen magnum allied with medulla oblongata elevation. Comparing dogs with and without SM, each breed had a unique trait: Chihuahua had a smaller angle between the dens, atlas and basioccipital bone (p value < 0.001; Affenpinschers had a smaller distance from atlas to dens (p value 0.009; CKCS had a shorter distance between the spheno-occipital synchondrosis and atlas (p value 0.007.The selected morphometries successfully characterised conformational changes in the brain and craniocervical junction that might form the basis of a diagnostic tool for all breeds. The severity of SM involved a spectrum of abnormalities, incurred by changes in both angulation and size that could alter neural parenchyma compliance and/or impede cerebrospinal fluid channels.

  18. Tissue Classification

    DEFF Research Database (Denmark)

    Van Leemput, Koen; Puonti, Oula

    2015-01-01

    Computational methods for automatically segmenting magnetic resonance images of the brain have seen tremendous advances in recent years. So-called tissue classification techniques, aimed at extracting the three main brain tissue classes (white matter, gray matter, and cerebrospinal fluid), are now...... well established. In their simplest form, these methods classify voxels independently based on their intensity alone, although much more sophisticated models are typically used in practice. This article aims to give an overview of often-used computational techniques for brain tissue classification....... Although other methods exist, we concentrate on Bayesian modeling approaches, in which generative image models are constructed and subsequently ‘inverted’ to obtain automated segmentations. This general framework encompasses a large number of segmentation methods, including those implemented in widely used...

  19. Neuromuscular disease classification system

    Science.gov (United States)

    Sáez, Aurora; Acha, Begoña; Montero-Sánchez, Adoración; Rivas, Eloy; Escudero, Luis M.; Serrano, Carmen

    2013-06-01

    Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and neurogenic atrophies through muscle biopsy images of fluorescence microscopy is presented. The procedure starts with an accurate segmentation of the muscle fibers using mathematical morphology and a watershed transform. A feature extraction step is carried out in two parts: 24 features that pathologists take into account to diagnose the diseases and 58 structural features that the human eye cannot see, based on the assumption that the biopsy is considered as a graph, where the nodes are represented by each fiber, and two nodes are connected if two fibers are adjacent. A feature selection using sequential forward selection and sequential backward selection methods, a classification using a Fuzzy ARTMAP neural network, and a study of grading the severity are performed on these two sets of features. A database consisting of 91 images was used: 71 images for the training step and 20 as the test. A classification error of 0% was obtained. It is concluded that the addition of features undetectable by the human visual inspection improves the categorization of atrophic patterns.

  20. Carrier Diagnosis

    Science.gov (United States)

    ... Inheritance of Hemophilia Definitions & Terminology Bleeding Symptoms Carrier Diagnosis When to Test for Carrier Status Family Planning and Pregnancy Conception Options Prenatal Diagnosis Fetal Sex ...

  1. A points-based algorithm for prognosticating clinical outcome of Chiari malformation Type I with syringomyelia: results from a predictive model analysis of 82 surgically managed adult patients.

    Science.gov (United States)

    Thakar, Sumit; Sivaraju, Laxminadh; Jacob, Kuruthukulangara S; Arun, Aditya Atal; Aryan, Saritha; Mohan, Dilip; Sai Kiran, Narayanam Anantha; Hegde, Alangar S

    2018-01-01

    OBJECTIVE Although various predictors of postoperative outcome have been previously identified in patients with Chiari malformation Type I (CMI) with syringomyelia, there is no known algorithm for predicting a multifactorial outcome measure in this widely studied disorder. Using one of the largest preoperative variable arrays used so far in CMI research, the authors attempted to generate a formula for predicting postoperative outcome. METHODS Data from the clinical records of 82 symptomatic adult patients with CMI and altered hindbrain CSF flow who were managed with foramen magnum decompression, C-1 laminectomy, and duraplasty over an 8-year period were collected and analyzed. Various preoperative clinical and radiological variables in the 57 patients who formed the study cohort were assessed in a bivariate analysis to determine their ability to predict clinical outcome (as measured on the Chicago Chiari Outcome Scale [CCOS]) and the resolution of syrinx at the last follow-up. The variables that were significant in the bivariate analysis were further analyzed in a multiple linear regression analysis. Different regression models were tested, and the model with the best prediction of CCOS was identified and internally validated in a subcohort of 25 patients. RESULTS There was no correlation between CCOS score and syrinx resolution (p = 0.24) at a mean ± SD follow-up of 40.29 ± 10.36 months. Multiple linear regression analysis revealed that the presence of gait instability, obex position, and the M-line-fourth ventricle vertex (FVV) distance correlated with CCOS score, while the presence of motor deficits was associated with poor syrinx resolution (p ≤ 0.05). The algorithm generated from the regression model demonstrated good diagnostic accuracy (area under curve 0.81), with a score of more than 128 points demonstrating 100% specificity for clinical improvement (CCOS score of 11 or greater). The model had excellent reliability (κ = 0.85) and was validated with

  2. Twelve years of chiari-like malformation and syringomyelia scanning in Cavalier King Charles Spaniels in the Netherlands: Towards a more precise phenotype.

    Directory of Open Access Journals (Sweden)

    Katrien Wijnrocx

    Full Text Available Chiari-like malformation (CM, syringomyelia (SM and middle ear effusion (also called PSOM are three conditions that frequently occur in Cavalier King Charles Spaniels (CKCS. Both CM and SM are currently screened in the Netherlands prior to breeding and are graded according to the British Veterinary Association's Kennel Club (BVA/KC scheme. This study evaluated the prevalence and estimated genetic parameter of CM, SM and middle ear effusion from 12 years of screening results. For SM, the classical method using the BVA/KC scheme, was compared with exact measuring of the central canal dilation. For CM, the BVA/KC scheme was compared with a more detailed scheme. Next to this the presence of microchip artifacts was assessed. 1249 screening of 1020 dogs were re-evaluated. Results indicated the presence of CM in all dogs, suggesting it has become a breed-specific characteristic. And although different grades of CM were observed, the condition did not deteriorate over time. SM was present in 39% of the dogs and a clear age effect was demonstrated, with SM increasing with age. This emphasizes the importance of screening at appropriate age, since SM can worsen with increasing age. One alternative is to promote repeated measures. The presence of middle ear effusion in this study was 19%-21% for dogs younger than 3 years, and 32%-38% for dogs older than 3 years. In as much as 60%, microchip artifacts were noticed, leading to the recommendation to place microchips in another location in breeds that are susceptible to developing SM. Finally, this study estimated the heritability of CM in this population, due to the lack of phenotypic variance, to be very low at 0.02-0.03. The heritability for SM central canal dilatation to be 0.30, compared to 0.13 for the classical BVA/KC method, using a model including the age effect and the combined effect of veterinary clinic and year of the evaluation. Genetic correlations were rather small, ranging from 0.16-0.33. As a

  3. Intellectual disability: definition, etiological factors, classification, diagnosis, treatment and prognosis Discapacidad intelectual: definición, factores etiológicos, clasificación, diagnóstico, tratamiento y prognosis

    Directory of Open Access Journals (Sweden)

    Gregorio Katz

    2008-01-01

    Full Text Available Etiology and classification: Causal factors related with cognitive disability are multiples and can be classified as follows: Genetic, acquired (congenital and developmental, environmental and sociocultural. Likewise, in relation to the classification, cognitive disability has as a common denominator a subnormal intellectual functioning level; nevertheless, the extent to which an individual is unable to face the demands established by society for the individual’s age group has brought about four degrees of severity: Mild, moderate, severe and profound. Diagnostic: The clinical history must put an emphasis on healthcare during the prenatal, perinatal and postnatal period and include the results of all previous studies, including a genealogical tree for at least three generations and an intentional search for family antecedents of mental delay, psychiatric illnesses and congenital abnormalities. The physical exam should focus on secondary abnormalities and congenital malformations, somatometric measurements and neurological and behavioral phenotype evaluations. If it is not feasible to establish a clinical diagnosis, it is necessary to conduct high-resolution cytogenetic studies in addition to metabolic clinical evaluations. In the next step, if no abnormal data are identified, submicroscopic chromosomal disorders are evaluated. Prognosis: Intellectual disability is not curable; and yet, the prognostic in general terms is good when using the emotional wellbeing of the individual as a parameter. Conclusions: Intellectual disability should be treated in a comprehensive manner. Nevertheless, currently, the fundamental task and perhaps the only one that applies is the detection of the limitation and abilities as a function of subjects’ age and expectations for the future, with the only goal being to provide the support necessary for each one of the dimensions or areas in which the person’s life is expressed and exposed.Etiología y clasificaci

  4. Diagnosis and Treatment of Influenza in Children

    Directory of Open Access Journals (Sweden)

    M. S. Savenkova

    2016-01-01

    Full Text Available The article presents data on influenza epidemiology, pathogenesis, classification, clinical variants, diagnosis. Given the variety of antiviral drugs, highlighted the most relevant and used in pediatric patients, depending on age and mixed-flow options viral infections.

  5. Classification of anemia for gastroenterologists.

    Science.gov (United States)

    Moreno Chulilla, Jose Antonio; Romero Colás, Maria Soledad; Gutiérrez Martín, Martín

    2009-10-07

    Most anemia is related to the digestive system by dietary deficiency, malabsorption, or chronic bleeding. We review the World Health Organization definition of anemia, its morphological classification (microcytic, macrocytic and normocytic) and pathogenic classification (regenerative and hypo regenerative), and integration of these classifications. Interpretation of laboratory tests is included, from the simplest (blood count, routine biochemistry) to the more specific (iron metabolism, vitamin B12, folic acid, reticulocytes, erythropoietin, bone marrow examination and Schilling test). In the text and various algorithms, we propose a hierarchical and logical way to reach a diagnosis as quickly as possible, by properly managing the medical interview, physical examination, appropriate laboratory tests, bone marrow examination, and other complementary tests. The prevalence is emphasized in all sections so that the gastroenterologist can direct the diagnosis to the most common diseases, although the tables also include rare diseases. Digestive diseases potentially causing anemia have been studied in preference, but other causes of anemia have been included in the text and tables. Primitive hematological diseases that cause anemia are only listed, but are not discussed in depth. The last section is dedicated to simplifying all items discussed above, using practical rules to guide diagnosis and medical care with the greatest economy of resources and time.

  6. Classification in context

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper surveys classification research literature, discusses various classification theories, and shows that the focus has traditionally been on establishing a scientific foundation for classification research. This paper argues that a shift has taken place, and suggests that contemporary...... classification research focus on contextual information as the guide for the design and construction of classification schemes....

  7. Methods report on the development of the 2013 revision and update of the EAACI/GA2 LEN/EDF/WAO guideline for the definition, classification, diagnosis, and management of urticaria

    DEFF Research Database (Denmark)

    Zuberbier, T; Aberer, W; Asero, R

    2014-01-01

    ) with the participation of delegates of 21 national and international societies. This guideline covers the definition and classification of urticaria, taking into account the recent progress in identifying its causes, eliciting factors and pathomechanisms. In addition, it outlines evidence-based diagnostic...

  8. Automatic diabetic retinopathy classification

    Science.gov (United States)

    Bravo, María. A.; Arbeláez, Pablo A.

    2017-11-01

    Diabetic retinopathy (DR) is a disease in which the retina is damaged due to augmentation in the blood pressure of small vessels. DR is the major cause of blindness for diabetics. It has been shown that early diagnosis can play a major role in prevention of visual loss and blindness. This work proposes a computer based approach for the detection of DR in back-of-the-eye images based on the use of convolutional neural networks (CNNs). Our CNN uses deep architectures to classify Back-of-the-eye Retinal Photographs (BRP) in 5 stages of DR. Our method combines several preprocessing images of BRP to obtain an ACA score of 50.5%. Furthermore, we explore subproblems by training a larger CNN of our main classification task.

  9. Hazard classification methodology

    International Nuclear Information System (INIS)

    Brereton, S.J.

    1996-01-01

    This document outlines the hazard classification methodology used to determine the hazard classification of the NIF LTAB, OAB, and the support facilities on the basis of radionuclides and chemicals. The hazard classification determines the safety analysis requirements for a facility

  10. Autism: Diagnosis

    Science.gov (United States)

    ... Information Publications Awards Partners Contact Us ¿Qué es Autismo? Donate Home What is Autism? What is Autism? ... Information Publications Awards Partners Contact Us ¿Qué es Autismo? Diagnosis Home / What is Autism? / Diagnosis Expand Medical ...

  11. Dual Diagnosis

    Science.gov (United States)

    A person with dual diagnosis has both a mental disorder and an alcohol or drug problem. These conditions occur together frequently. In particular, ... to emotional and mental problems. Someone with a dual diagnosis must treat both conditions. For the treatment ...

  12. [Suggestion for a classification of odontalgias].

    Science.gov (United States)

    Türp, J C; Hugger, A; Löst, C; Nilges, P; Schindler, H J; Staehle, H J

    2009-10-01

    Toothache prevalence in the overall population is considerable. However, for clinical purposes, the classification schemes available do not appear to be sufficiently sophisticated. Moreover, not all known forms of dental pain are considered. A refined classification that meets current standards is therefore introduced. To facilitate diagnosis, the characteristic features of the various types of odontalgia are summarized. The new classification differentiates among seven different origins of pain: 1. dentinal pain (originating from the pulpal tissues), 2. pulpal pain (originating from the pulpal tissues), 3. periodontal pain, 4. alveolar-osseous pain, 5. atypical odontalgia, 6. heterotopic dental pain, 7. odontalgia associated with primary psychosocial factors. In our opinion, the proposed classification differentiates among the different forms of odontalgia more precisely than all previous ones. However, its viability and advantages over other available classification schemes still need to be verified in daily practice.

  13. Understanding about the classification of pulp inflammation

    Directory of Open Access Journals (Sweden)

    Trijoedani Widodo

    2007-03-01

    Full Text Available Since most authors use the reversible pulpitis and irreversible pulpitis classification, however, many dentists still do not implement these new classifications. Research was made using a descriptive method by proposing questionnaire to dentists from various dental clinics. The numbers of the dentists participating in this research are 22 dentists. All respondents use the diagnosis sheet during their examinations on patients. Nonetheless, it can't be known what diagnosis card used and most of the dentists are still using the old classification. Concerning responses given towards the new classification: a the new classification had been heard, however, it was not clear (36.3%; b the new classification has never been heard at all (63.6%. Then, responses concerning whether a new development is important to be followed-up or not: a there are those who think that information concerning new development is very important (27.2%; b those who feel that it is important to have new information (68.3%; c those who think that new information is not important (8%. It concluded that information concerning the development of classification of pulp inflammation did not reach the dentists.

  14. Classification of the web

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper discusses the challenges faced by investigations into the classification of the Web and outlines inquiries that are needed to use principles for bibliographic classification to construct classifications of the Web. This paper suggests that the classification of the Web meets challenges...

  15. Chicago Classification of Esophageal Motility Disorders: Lessons Learned

    NARCIS (Netherlands)

    Rohof, W. O. A.; Bredenoord, A. J.

    2017-01-01

    High-resolution manometry (HRM) is increasingly performed worldwide, to study esophageal motility. The Chicago classification is subsequently applied to interpret the manometric findings and facilitate a diagnosis of esophageal motility disorders. This review will discuss new insights regarding the

  16. SAW Classification Algorithm for Chinese Text Classification

    OpenAIRE

    Xiaoli Guo; Huiyu Sun; Tiehua Zhou; Ling Wang; Zhaoyang Qu; Jiannan Zang

    2015-01-01

    Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology and semantics, this paper puts forward a kind of Chinese text classification oriented SAW (Structural Auxiliary Word) algorithm. The algorithm uses the special space effect of Chinese text where words...

  17. I-CAN: The Classification and Prediction of Support Needs

    Science.gov (United States)

    Arnold, Samuel R. C.; Riches, Vivienne C.; Stancliffe, Roger J.

    2014-01-01

    Background: Since 1992, the diagnosis and classification of intellectual disability has been dependent upon three constructs: intelligence, adaptive behaviour and support needs (Luckasson "et al." 1992. Mental Retardation: Definition, Classification and Systems of Support. American Association on Intellectual and Developmental…

  18. CIN classification and prediction using machine learning methods

    Science.gov (United States)

    Chirkina, Anastasia; Medvedeva, Marina; Komotskiy, Evgeny

    2017-06-01

    The aim of this paper is a comparison of the existing classification algorithms with different parameters, and selection those ones, which allows solving the problem of primary diagnosis of cervical intraepithelial neoplasia (CIN), as it characterizes the condition of the body in the precancerous stage. The paper describes a feature selection process, as well as selection of the best models for a multiclass classification.

  19. EPUAP classification system for pressure ulcers: European reliability study.

    NARCIS (Netherlands)

    Beeckman, D.; Schoonhoven, L.; Fletcher, J.; Furtado, K.; Gunningberg, L.; Heyman, H.; Lindholm, C.; Paquay, L.; Verdu, J.; Defloor, T.

    2007-01-01

    AIM: This paper is a report of a study of the inter-observer reliability of the European Pressure Ulcer Advisory Panel pressure ulcer classification system and of the differential diagnosis between moisture lesions and pressure ulcers. BACKGROUND: Pressure ulcer classification is a valuable tool to

  20. An Integrative Dimensional Classification of Personality Disorder

    Science.gov (United States)

    Widiger, Thomas A.; Livesley, W. John; Clark, Lee Anna

    2009-01-01

    Psychological assessment research concerns how to describe psychological dysfunction in ways that are both valid and useful. Recent advances in assessment research hold the promise of facilitating significant improvements in description and diagnosis. One such contribution is in the classification of personality disorder symptomatology. The…

  1. Definition and classification of epilepsy. Classification of epileptic seizures 2016

    Directory of Open Access Journals (Sweden)

    K. Yu. Mukhin

    2017-01-01

    Full Text Available Epilepsy is one of the most common neurological diseases, especially in childhood and adolescence. The incidence varies from 15 to 113 cases per 100 000 population with the maximum among children under 1 year old. The prevalence of epilepsy is high, ranging from 5 to 8 cases (in some regions – 10 cases per 1000 children under 15 years old. Classification of the disease has great importance for diagnosis, treatment and prognosis. The article presents a novel strategy for classification of epileptic seizures, developed in 2016. It contains a number of brand new concepts, including a very important one, saying that some seizures, previously considered as generalized or focal only, can be, in fact, both focal and generalized. They include tonic, atonic, myoclonic seizures and epileptic spasms. The term “secondarily generalized seizure” is replace by the term “bilateral tonic-clonic seizure” (as soon as it is not a separate type of epileptic seizures, and the term reflects the spread of discharge from any area of cerebral cortex and evolution of any types of focal seizures. International League Against Epilepsy recommends to abandon the term “pseudo-epileptic seizures” and replace it by the term “psychogenic non-epileptic seizures”. If a doctor is not sure that seizures have epileptic nature, the term “paroxysmal event” should be used without specifying the disease. The conception of childhood epileptic encephalopathies, developed within this novel classification project, is one of the most significant achievements, since in this case not only the seizures, but even epileptiform activity can induce severe disorders of higher mental functions. In addition to detailed description of the new strategy for classification of epileptic seizures, the article contains a comprehensive review of the existing principles of epilepsy and epileptic seizures classification.

  2. Coronary artery anomalies. Diagnosis and classification based on cardiac CT and MRI (CMR) - from ALCAPA to anomalies of termination; Koronararterienanomalien. Diagnostik und Klassifikation auf Basis der CT und MRT des Herzens - von ALCAPA bis Terminationsanomalie

    Energy Technology Data Exchange (ETDEWEB)

    Heermann, Philipp; Heindel, Walter; Schuelke, Christoph [University Hospital Muenster (UKM) (Germany). Dept. of Clinical Radiology

    2017-01-15

    Coronary artery anomalies encompass a clinically and anatomically variable spectrum including physiological variants and pathophysiologically relevant anomalies. The majority of the variants has no hemodynamic relevance and is often detected accidentally. The recognition of the rare and relevant anomalies that cause either relevant shunt volumes leading to myocardial ischemia or ventricular tachyarrhythmias with the risk of sudden cardiac death is of major importance. This review is based on a literature search in PubMed conducted using the key words ''coronary artery'' and/or ''anomaly'' and/or ''anomalous origin'' and/or ''myocardial bridging'' and/or ''coronary artery fistula'' and/or ''Bland-White-Garland'' and/or ''ALCAPA''. Coronary artery anomalies can be anatomically subdivided into anomalies of origin, course and termination. The method of choice for anatomical imaging is ECG-triggered or gated multislice CT (MSCT) that provides high spatial resolution and the capability of multiplanar reconstructions. It facilitates the delineation of the precise course of all three coronary arteries and thus allows for correct classification in the anatomical classification system of coronary artery anomalies. The strengths of cardiac magnetic resonance imaging (CMR) are the evaluation of cardiac morphology, myocardial tissue properties and myocardial function. Basic methods are the analysis of myocardial contraction and perfusion with and without pharmacologic stress. Furthermore, potential shunt volumes could be quantified by phase contrast imaging or volumetry.

  3. Malignant lymphomas - survey, classification and staging

    International Nuclear Information System (INIS)

    Pfannmueller, E.

    1984-01-01

    Malignant lymphomas are lympho-proliferative diseases in which the well-defined clinical pattern of Hodgkin's disease is contrasted by the heterogeneous group of lymphomas of the non-Hodgkin type. A simplified form of the sub-classification of Hodgkin's disease suggested in 1966 by Lukes and Butler, has found world-wide recognition. However, no generally accepted classification scheme has been evolved so far for the histological classification of other lymphomas, and this leads to considerable difficulties when comparing the therapy results from different centres. Precise histological classification and accurate staging before onset of therapy enable well-defined pronoses and therapy planning in line with case requirements. Radiological methods (X-ray chest, sonography, computed tomography, lymphography, scintigraphy etc.) are important in diagnosis required for accurate staging. (orig.) [de

  4. [Definition and classification of pulmonary arterial hypertension].

    Science.gov (United States)

    Nakanishi, Norifumi

    2008-11-01

    Pulmonary hypertension(PH) is a disorder that may occur either in the setting of a variety of underlying medical conditions or as a disease that uniquely affects the pulmonary vasculature. Because an accurate diagnosis of PH in a patient is essential to establish an effective treatment, a classification of PH has been helpful. The first classification, established at WHO Symposium in 1973, classified PH into groups based on the known cause and defined primary pulmonary hypertension (PPH) as a separate entity of unknown cause. In 1998, the second World Symposium on PPH was held in Evian. Evian classification introduced the concept of conditions that directly affected the pulmonary vasculature (i.e., PAH), which included PPH. In 2003, the third World Symposium on PAH convened in Venice. In Venice classification, the term 'PPH' was abandoned in favor of 'idiopathic' within the group of disease known as 'PAH'.

  5. Classification of cultivated plants.

    NARCIS (Netherlands)

    Brandenburg, W.A.

    1986-01-01

    Agricultural practice demands principles for classification, starting from the basal entity in cultivated plants: the cultivar. In establishing biosystematic relationships between wild, weedy and cultivated plants, the species concept needs re-examination. Combining of botanic classification, based

  6. Pathological classification of brain tumors.

    Science.gov (United States)

    Pollo, B

    2012-04-01

    The tumors of the central nervous system are classified according to the last international classification published by World Health Organization. The Classification of Tumors of the Central Nervous System was done on 2007, based on morphological features, growth pattern and molecular profile of neoplastic cells, defining malignancy grade. The neuropathological diagnosis and the grading of each histotype are based on identification of histopathological criteria and immunohistochemical data. The histopathology, also consisting of findings with prognostic or predictive relevance, plays a critical role in the diagnosis and treatment of brain tumors. The recent progresses on radiological, pathological, immunohistochemical, molecular and genetic diagnosis improved the characterization of brain tumors. Molecular and genetic profiles may identify different tumor subtypes varying in biological and clinical behavior. To investigate new therapeutic approaches is important to study the molecular pathways that lead the processes of proliferation, invasion, angiogenesis, anaplastic transformation. Different molecular biomarkers were identified by genetic studies and some of these are used in neuro-oncology for the evaluation of glioma patients, in particular combined deletions of the chromosome arms 1p and 19q in oligodendroglial tumors, methylation status of the O-6 methylguanine- DNA methyltransferase gene promoter and alterations in the epidermal growth factor receptor pathway in adult malignant gliomas, isocitrate dehydrogenase 1 (IDH1) and IDH2 gene mutations in diffuse gliomas, as well as BRAF status in pilocytic astrocytomas. The prognostic evaluation and the therapeutic strategies for patients depend on synthesis of clinical, pathological and biological data: histological diagnosis, malignancy grade, gene-molecular profile, radiological pictures, surgical resection and clinical findings (age, tumor location, "performance status").

  7. Chart validation of inpatient International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) administrative diagnosis codes for venous thromboembolism (VTE) among intravenous immune globulin (IGIV) users in the Sentinel Distributed Database.

    Science.gov (United States)

    Ammann, Eric M; Cuker, Adam; Carnahan, Ryan M; Perepu, Usha S; Winiecki, Scott K; Schweizer, Marin L; Leonard, Charles E; Fuller, Candace C; Garcia, Crystal; Haskins, Cole; Chrischilles, Elizabeth A

    2018-02-01

    The Sentinel Distributed Database (SDD) is a database of patient administrative healthcare records, derived from insurance claims and electronic health records, sponsored by the US Food and Drug Administration for evaluation of medical product outcomes. There is limited information on the validity of diagnosis codes for acute venous thromboembolism (VTE) in the SDD and administrative healthcare data more generally.In this chart validation study, we report on the positive predictive value (PPV) of inpatient administrative diagnosis codes for acute VTE-pulmonary embolism (PE) or lower-extremity or site-unspecified deep vein thrombosis (DVT)-within the SDD. As part of an assessment of thromboembolic adverse event risk following treatment with intravenous immune globulin (IGIV), charts were obtained for 75 potential VTE cases, abstracted, and physician-adjudicated.VTE status was determined for 62 potential cases. PPVs for lower-extremity DVT and/or PE were 90% (95% CI: 73-98%) for principal-position diagnoses, 80% (95% CI: 28-99%) for secondary diagnoses, and 26% (95% CI: 11-46%) for position-unspecified diagnoses (originating from physician claims associated with an inpatient stay). Average symptom onset was 1.5 days prior to hospital admission (range: 19 days prior to 4 days after admission).PPVs for principal and secondary VTE discharge diagnoses were similar to prior study estimates. Position-unspecified diagnoses were less likely to represent true acute VTE cases.

  8. Classification of Pemphigus

    Directory of Open Access Journals (Sweden)

    Ayşe Akman

    2008-08-01

    Full Text Available Clinical classification of pemphigus is not yet complete. The classic classification based on clinical and histologic features. Because of the progress in the pathogenesis of pemphigus, the current classifications based on accumulating analyses of antigen molecules and subclasses of immunoglobulins and etiologic aspects of pemphigus as weel as the clinical, histologic features. The aim of this paper is to review classification of pemphigus.

  9. ILAE Classification of the Epilepsies Position Paper of the ILAE Commission for Classification and Terminology

    Science.gov (United States)

    Scheffer, Ingrid E; Berkovic, Samuel; Capovilla, Giuseppe; Connolly, Mary B; French, Jacqueline; Guilhoto, Laura; Hirsch, Edouard; Jain, Satish; Mathern, Gary W.; Moshé, Solomon L; Nordli, Douglas R; Perucca, Emilio; Tomson, Torbjörn; Wiebe, Samuel; Zhang, Yue-Hua; Zuberi, Sameer M

    2017-01-01

    Summary The ILAE Classification of the Epilepsies has been updated to reflect our gain in understanding of the epilepsies and their underlying mechanisms following the major scientific advances which have taken place since the last ratified classification in 1989. As a critical tool for the practising clinician, epilepsy classification must be relevant and dynamic to changes in thinking, yet robust and translatable to all areas of the globe. Its primary purpose is for diagnosis of patients, but it is also critical for epilepsy research, development of antiepileptic therapies and communication around the world. The new classification originates from a draft document submitted for public comments in 2013 which was revised to incorporate extensive feedback from the international epilepsy community over several rounds of consultation. It presents three levels, starting with seizure type where it assumes that the patient is having epileptic seizures as defined by the new 2017 ILAE Seizure Classification. After diagnosis of the seizure type, the next step is diagnosis of epilepsy type, including focal epilepsy, generalized epilepsy, combined generalized and focal epilepsy, and also an unknown epilepsy group. The third level is that of epilepsy syndrome where a specific syndromic diagnosis can be made. The new classification incorporates etiology along each stage, emphasizing the need to consider etiology at each step of diagnosis as it often carries significant treatment implications. Etiology is broken into six subgroups, selected because of their potential therapeutic consequences. New terminology is introduced such as developmental and epileptic encephalopathy. The term benign is replaced by the terms self-limited and pharmacoresponsive, to be used where appropriate. It is hoped that this new framework will assist in improving epilepsy care and research in the 21st century. PMID:28276062

  10. Combining decision trees and stochastic curtailment for assessment length reduction of test batteries used for classification.

    NARCIS (Netherlands)

    Fokkema, M.; Smits, N.; Kelderman, H.; Carlier, I.V.E.; van Hemert, A.M.

    2014-01-01

    For classification problems in psychology (e.g., clinical diagnosis), batteries of tests are often administered. However, not every test or item may be necessary for accurate classification. In the current article, a combination of classification and regression trees (CART) and stochastic

  11. 42 CFR 412.513 - Patient classification system.

    Science.gov (United States)

    2010-10-01

    ... LTC-DRG classification system provides a LTC-DRG, and an appropriate weighting factor, for those cases....513 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES..., sex, principal diagnosis (that is, the diagnosis established after study to be chiefly responsible for...

  12. Clinical diagnosis versus autopsy diagnosis in head trauma

    Directory of Open Access Journals (Sweden)

    Velnic Andreea-Alexandra

    2017-12-01

    Full Text Available The correct and complete diagnosis is essential for the adequate care and the favourable clinical evolution of the patients with head trauma. Purpose: To identify the error rate in the clinical diagnosis of head injuries as shown in comparison with the autopsy diagnosis and to identify the most common sources of error. Material and method: We performed a retrospective study based on data from the medical files and the autopsy reports of patients with head trauma who died in the hospital and underwent forensic autopsy. We collected: demographic data, clinical and laboratory data and autopsy findings. To quantify the concordance rate between the clinical diagnosis of death and the autopsy diagnosis we used a 4 classes classification, which ranged from 100% concordance (C1 to total discordance (C4 and two classes of partial discordance: C2 (partial discordance in favour of the clinical diagnosis- missing injuries in the autopsy reports and C3 (partial discordance in favor of the necroptic diagnosis- missing injuries in the medical files. Data were analyzed with SPSS version 20.0. Results: We analyzed 194 cases of death due to head injuries. We found a total concordance between the clinical death diagnosis and autopsy diagnosis in 30.4% of cases and at least one discrepancy in 69.6% of cases. Increasing the duration of hospitalization directly correlates with the amount of the imaging investigations and these in turn correlates with an increased rate of diagnosis concordance. Among the patients with stage 3 coma who associated a spinal cord injury, we found a partial diagnosis discordance in 50% of cases and a total discordance in 50% of cases, possibly due to the need for conducting emergency imaging investigation and the need for surgical treatment. In cases with partial and total discordant diagnosis, at least one lesion was omitted in 45.1% of the cases. The most commonly omitted injuries in C2 cases were subdural hematoma, intracerebral

  13. 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

  14. Fault diagnosis

    Science.gov (United States)

    Abbott, Kathy

    1990-01-01

    The objective of the research in this area of fault management is to develop and implement a decision aiding concept for diagnosing faults, especially faults which are difficult for pilots to identify, and to develop methods for presenting the diagnosis information to the flight crew in a timely and comprehensible manner. The requirements for the diagnosis concept were identified by interviewing pilots, analyzing actual incident and accident cases, and examining psychology literature on how humans perform diagnosis. The diagnosis decision aiding concept developed based on those requirements takes abnormal sensor readings as input, as identified by a fault monitor. Based on these abnormal sensor readings, the diagnosis concept identifies the cause or source of the fault and all components affected by the fault. This concept was implemented for diagnosis of aircraft propulsion and hydraulic subsystems in a computer program called Draphys (Diagnostic Reasoning About Physical Systems). Draphys is unique in two important ways. First, it uses models of both functional and physical relationships in the subsystems. Using both models enables the diagnostic reasoning to identify the fault propagation as the faulted system continues to operate, and to diagnose physical damage. Draphys also reasons about behavior of the faulted system over time, to eliminate possibilities as more information becomes available, and to update the system status as more components are affected by the fault. The crew interface research is examining display issues associated with presenting diagnosis information to the flight crew. One study examined issues for presenting system status information. One lesson learned from that study was that pilots found fault situations to be more complex if they involved multiple subsystems. Another was pilots could identify the faulted systems more quickly if the system status was presented in pictorial or text format. Another study is currently under way to

  15. Discrete event systems diagnosis and diagnosability

    CERN Document Server

    Sayed-Mouchaweh, Moamar

    2014-01-01

    Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Discrete Event Systems (DES). This book provides the basic techniques and approaches necessary for the design of an efficient fault diagnosis system for a wide range of modern engineering applications. The different techniques and approaches are classified according to several criteria such as: modeling tools (Automata, Petri nets) that is used to construct the model; the information (qualitative based on events occurrences and/or states outputs, quantitative based on signal processing and data analysis) that is needed to analyze and achieve the diagnosis; the decision structure (centralized, decentralized) that is required to achieve the diagnosis. The goal of this classification is to select the efficient method to achieve the fault diagnosis according to the application constraints. This book focuses on the centralized and decentralized event based diagnosis approaches using formal language and automata as mode...

  16. [Clinical aspects and classification of echinococcosis].

    Science.gov (United States)

    Nabokov, Sh A; Vasil'ev, R Kh

    1978-04-01

    350 cases of alveococcosis were examined with the use of clinical and generally available methods of laboratory analysis. This study helped to find out the characteristic symptoms of the disease and their incidence rate. A clinico-anatomical classification of alveoccoccosis, based on local and general manifestations, localization of a primary focus, anatomic form of the growth of an alveococcal node and the degree of its propagation in the liver parenchima, has been developed. The suggested classification promotes a correct construction of a detailed clinical diagnosis and complete solution of the problems of therapeutic tactics.

  17. Prenatal Diagnosis

    Directory of Open Access Journals (Sweden)

    Ozge Ozalp Yuregir

    2012-02-01

    Full Text Available Prenatal diagnosis is the process of determining the health or disease status of the fetus or embryo before birth. The purpose is early detection of diseases and early intervention when required. Prenatal genetic tests comprise of cytogenetic (chromosome assessment and molecular (DNA mutation analysis tests. Prenatal testing enables the early diagnosis of many diseases in risky pregnancies. Furthermore, in the event of a disease, diagnosing prenatally will facilitate the planning of necessary precautions and treatments, both before and after birth. Upon prenatal diagnosis of some diseases, termination of the pregnancy could be possible according to the family's wishes and within the legal frameworks. [Archives Medical Review Journal 2012; 21(1.000: 80-94

  18. Wavelets for computer-aided breast cancer diagnosis

    Science.gov (United States)

    Myers, Lemuel R., Jr.; Kocur, Catherine M.; Rogers, Steven K.; Eisenbies, Chris; Hoffmeister, Jeffrey W.

    1995-04-01

    More than 50 million women over the age of 40 are currently at risk for breast cancer in the United States. Computer-aided diagnosis, used as a `second opinion' to radiologists, will aid in decreasing the number of false readings of mammograms. A novel feature extraction method is presented that provides increased classification power. Wavelets, previously only exploited for their segmentation benefits, are explored as features for classification. Daubechies4, Daubechies20, and biorthogonal wavelets are each investigated. Applied to 94 difficult-to- diagnose digitized microcalcification cases, performance is 74 percent correct classifications. Feature selection techniques are presented which further improve wavelet classification performance to 88 percent correct classification.

  19. Preimplantation diagnosis.

    Science.gov (United States)

    Delhanty, J D

    1994-12-01

    Research towards preimplantation diagnosis of genetic disease was initiated in the UK in the mid 1980s with the aim of helping those couples who would prefer selection to occur at this stage rather than during pregnancy. Following in vitro fertilisation, (IVF), biopsy and removal of 1 or 2 of the totipotent cells from the cleavage stage 3 day old embryo provides the material for molecular genetic diagnosis without interfering with development. Earliest applications were in the avoidance of X-linked disease by sexing embryos and selecting females for transfer to the mother. Initially, polymerase chain reaction (PCR) amplification of DNA from the biopsied blastomeres was performed using primers specific for sequences derived from the Y chromosome and this led to the birth of several normal girls. To reduce the risk of misdiagnosis due to amplification failure, PCR based methods for sexing the embryo now employ both X and Y specific sequences, but the preferred method is currently considered to be fluorescent in situ hybridisation (FISH) with fluorochrome labelled DNA probes to the embryonic nuclei that have been fixed and spread on slides. Dual FISH with probes from X and Y chromosomes allows unequivocal diagnosis of sex and determination of chromosome copy number, avoiding transfer of embryos with abnormal numbers of sex chromosomes, including those with only the maternal X that would be at 50% risk for the X-linked disease. The application of FISH for preimplantation diagnosis has also led to the realisation that chromosomal mosaicism is common at the cleavage stage of development, a finding that has important implications for diagnosis of both dominant single gene disorders and trisomies, as well as for our understanding of early human development. Cloning and sequencing of the relevant genes has enabled the development of methods for the diagnosis of certain recessive single gene disorders in cleavage stage embryos. PCR based methods have to be developed for each

  20. Diagnosis of type 1 and type 2 myocardial infarction using a high-sensitivity cardiac troponin I assay with sex-specific 99th percentiles based on the third universal definition of myocardial infarction classification system.

    Science.gov (United States)

    Sandoval, Yader; Smith, Stephen W; Schulz, Karen M; Murakami, MaryAnn M; Love, Sara A; Nicholson, Jennifer; Apple, Fred S

    2015-04-01

    The frequency and characteristics of myocardial infarction (MI) subtypes per the Third Universal Definition of MI (TUDMI) classification system using high-sensitivity (hs) cardiac troponin assays with sex-specific cutoffs is not well known. We sought to describe the diagnostic characteristics of type 1 (T1MI) and type 2 (T2MI) MI using an hs-cardiac troponin I (hs-cTnI) assay with sex-specific cutoffs. A total of 310 consecutive patients with serial cTnI measurements obtained on clinical indication were studied with contemporary and hs-cTnI assays. Ninety-ninth percentile sex-specific upper reference limits (URLs) for the hs-cTnI assay were 16 ng/L for females and 34 ng/L for males. The TUDMI consensus recommendations were used to define and adjudicate MI based on each URL. A total of 127 (41%) patients had at least 1 hs-cTnI exceeding the sex-specific 99th percentiles, whereas 183 (59%) had hs-cTnI within the reference interval. Females had more myocardial injury related to supply/demand ischemia than males (39% vs 18%, P = 0.01), whereas males had more multifactorial or indeterminate injury (52% vs 33%, P = 0.05). By hs-cTnI, there were 32 (10%) acute MIs, among which 10 (3%) were T1MI and 22 (7%) were T2MI. T2MI represented 69% (22 out of 32) of all acute MIs, whereas T1MI represented 31% (10 out of 32). Ninety-five patients (31%) had an increased hs-cTnI above the 99th percentile but did not meet criteria for acute MI. The most common triggers for T2MI were tachyarrhythmias, hypotension/shock, and hypertension. By contemporary cTnI, more MIs (14 T1MI and 29 T2MI) were diagnosed. By contemporary cTnI, there were 43 MIs, 14 T1MI, and 29 T2MI. Fewer MI diagnoses were found with the hs-cTnI assay, contrary to the commonly accepted idea that hs-cTnI will lead to excessive false-positive diagnoses. © 2015 American Association for Clinical Chemistry.

  1. Recursive heuristic classification

    Science.gov (United States)

    Wilkins, David C.

    1994-01-01

    The author will describe a new problem-solving approach called recursive heuristic classification, whereby a subproblem of heuristic classification is itself formulated and solved by heuristic classification. This allows the construction of more knowledge-intensive classification programs in a way that yields a clean organization. Further, standard knowledge acquisition and learning techniques for heuristic classification can be used to create, refine, and maintain the knowledge base associated with the recursively called classification expert system. The method of recursive heuristic classification was used in the Minerva blackboard shell for heuristic classification. Minerva recursively calls itself every problem-solving cycle to solve the important blackboard scheduler task, which involves assigning a desirability rating to alternative problem-solving actions. Knowing these ratings is critical to the use of an expert system as a component of a critiquing or apprenticeship tutoring system. One innovation of this research is a method called dynamic heuristic classification, which allows selection among dynamically generated classification categories instead of requiring them to be prenumerated.

  2. Security classification of information

    Energy Technology Data Exchange (ETDEWEB)

    Quist, A.S.

    1993-04-01

    This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

  3. SARS - Diagnosis

    Indian Academy of Sciences (India)

    SARS - Diagnosis. Mainly by exclusion of known causes of atypical pneumonia; * X ray Chest; * PCR on body fluids- primers defined by WHO centres available from website.-ve result does not exclude SARS. * Sequencing of amplicons; * Viral Cultures – demanding; * Antibody tests.

  4. Intelligent System for Diagnosis of a Three-Phase Separator

    OpenAIRE

    Irina Ioniţă; Liviu Ioniţă

    2016-01-01

    Intelligent systems for diagnosis have been used in a variety of domains: financial evaluation, credit scoring problem, identification of software and hardware problems of mechanical and electronic equipment, medical diagnosis, fault detection in gas-oil production plants etc. The goal of diagnosis systems is to classify the observed symptoms as being caused by some diagnosis class while advising systems perform such a classification and offer corrective remedies (recommendations). The curren...

  5. Classification across gene expression microarray studies

    Directory of Open Access Journals (Sweden)

    Kuner Ruprecht

    2009-12-01

    Full Text Available Abstract Background The increasing number of gene expression microarray studies represents an important resource in biomedical research. As a result, gene expression based diagnosis has entered clinical practice for patient stratification in breast cancer. However, the integration and combined analysis of microarray studies remains still a challenge. We assessed the potential benefit of data integration on the classification accuracy and systematically evaluated the generalization performance of selected methods on four breast cancer studies comprising almost 1000 independent samples. To this end, we introduced an evaluation framework which aims to establish good statistical practice and a graphical way to monitor differences. The classification goal was to correctly predict estrogen receptor status (negative/positive and histological grade (low/high of each tumor sample in an independent study which was not used for the training. For the classification we chose support vector machines (SVM, predictive analysis of microarrays (PAM, random forest (RF and k-top scoring pairs (kTSP. Guided by considerations relevant for classification across studies we developed a generalization of kTSP which we evaluated in addition. Our derived version (DV aims to improve the robustness of the intrinsic invariance of kTSP with respect to technologies and preprocessing. Results For each individual study the generalization error was benchmarked via complete cross-validation and was found to be similar for all classification methods. The misclassification rates were substantially higher in classification across studies, when each single study was used as an independent test set while all remaining studies were combined for the training of the classifier. However, with increasing number of independent microarray studies used in the training, the overall classification performance improved. DV performed better than the average and showed slightly less variance. In

  6. The molecular classification of hereditary endocrine diseases.

    Science.gov (United States)

    Ye, Lei; Ning, Guang

    2015-12-01

    Hereditary endocrine diseases are an important group of diseases with great heterogeneity. The current classification for hereditary endocrine disease is mostly based upon anatomy, which is helpful for pathophysiological interpretation, but does not address the pathogenic variability associated with different underlying genetic causes. Identification of an endocrinopathy-associated genetic alteration provides evidence for differential diagnosis, discovery of non-classical disease, and the potential for earlier diagnosis and targeted therapy. Molecular diagnosis should be routinely applied when managing patients with suspicion of hereditary disease. To enhance the accurate diagnosis and treatment of patients with hereditary endocrine diseases, we propose categorization of endocrine diseases into three groups based upon the function of the mutant gene: cell differentiation, hormone synthesis and action, and tumorigenesis. Each category was further grouped according to the specific gene function. We believe that this format would facilitate practice of precision medicine in the field of hereditary endocrine diseases.

  7. Classification of Flotation Frothers

    Directory of Open Access Journals (Sweden)

    Jan Drzymala

    2018-02-01

    Full Text Available In this paper, a scheme of flotation frothers classification is presented. The scheme first indicates the physical system in which a frother is present and four of them i.e., pure state, aqueous solution, aqueous solution/gas system and aqueous solution/gas/solid system are distinguished. As a result, there are numerous classifications of flotation frothers. The classifications can be organized into a scheme described in detail in this paper. The frother can be present in one of four physical systems, that is pure state, aqueous solution, aqueous solution/gas and aqueous solution/gas/solid system. It results from the paper that a meaningful classification of frothers relies on choosing the physical system and next feature, trend, parameter or parameters according to which the classification is performed. The proposed classification can play a useful role in characterizing and evaluation of flotation frothers.

  8. Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective

    Directory of Open Access Journals (Sweden)

    Changbo Zhao

    2015-01-01

    data analyzed by different computational methods, we present the overview for four subfields of TCM diagnosis, respectively. For each subfield, we design a rectangular reference list with applications in the horizontal direction and machine learning algorithms in the longitudinal direction. According to the current development of objective TCM diagnosis for patient classification, a discussion of the research issues around machine learning techniques with applications to TCM diagnosis is given to facilitate the further research for TCM patient classification.

  9. Ontologies vs. Classification Systems

    DEFF Research Database (Denmark)

    Madsen, Bodil Nistrup; Erdman Thomsen, Hanne

    2009-01-01

    What is an ontology compared to a classification system? Is a taxonomy a kind of classification system or a kind of ontology? These are questions that we meet when working with people from industry and public authorities, who need methods and tools for concept clarification, for developing meta...... data sets or for obtaining advanced search facilities. In this paper we will present an attempt at answering these questions. We will give a presentation of various types of ontologies and briefly introduce terminological ontologies. Furthermore we will argue that classification systems, e.g. product...... classification systems and meta data taxonomies, should be based on ontologies....

  10. New insights into the diagnosis of hidradenitis suppurativa

    DEFF Research Database (Denmark)

    van der Zee, Hessel H; Jemec, Gregor B E

    2015-01-01

    Current classifications for hidradenitis suppurativa (HS), such as the Hurley staging system, are not very specific. The absence of rigorous classifications is incongruous with the clinical variability of the condition. There is no pathognomonic sign for HS that leads to a diagnosis that is unque...

  11. Cirrhosis Classification Based on Texture Classification of Random Features

    Directory of Open Access Journals (Sweden)

    Hui Liu

    2014-01-01

    Full Text Available Accurate staging of hepatic cirrhosis is important in investigating the cause and slowing down the effects of cirrhosis. Computer-aided diagnosis (CAD can provide doctors with an alternative second opinion and assist them to make a specific treatment with accurate cirrhosis stage. MRI has many advantages, including high resolution for soft tissue, no radiation, and multiparameters imaging modalities. So in this paper, multisequences MRIs, including T1-weighted, T2-weighted, arterial, portal venous, and equilibrium phase, are applied. However, CAD does not meet the clinical needs of cirrhosis and few researchers are concerned with it at present. Cirrhosis is characterized by the presence of widespread fibrosis and regenerative nodules in the hepatic, leading to different texture patterns of different stages. So, extracting texture feature is the primary task. Compared with typical gray level cooccurrence matrix (GLCM features, texture classification from random features provides an effective way, and we adopt it and propose CCTCRF for triple classification (normal, early, and middle and advanced stage. CCTCRF does not need strong assumptions except the sparse character of image, contains sufficient texture information, includes concise and effective process, and makes case decision with high accuracy. Experimental results also illustrate the satisfying performance and they are also compared with typical NN with GLCM.

  12. Linear Classification Functions.

    Science.gov (United States)

    Huberty, Carl J.; Smith, Jerry D.

    Linear classification functions (LCFs) arise in a predictive discriminant analysis for the purpose of classifying experimental units into criterion groups. The relative contribution of the response variables to classification accuracy may be based on LCF-variable correlations for each group. It is proved that, if the raw response measures are…

  13. Classification, confusion and misclassification

    African Journals Online (AJOL)

    Classifications change and in that process, we can see that someone or some group has recognise that a previous classification hindered understanding or moulded ... to a pathologist's ability to distinguish, had led to confusion and mismanagement by gynaecologists. What is worrying if not the word. 'complex'? But this is ...

  14. Spectroscopic classification of transients

    DEFF Research Database (Denmark)

    Stritzinger, M. D.; Fraser, M.; Hummelmose, N. N.

    2017-01-01

    We report the spectroscopic classification of several transients based on observations taken with the Nordic Optical Telescope (NOT) equipped with ALFOSC, over the nights 23-25 August 2017.......We report the spectroscopic classification of several transients based on observations taken with the Nordic Optical Telescope (NOT) equipped with ALFOSC, over the nights 23-25 August 2017....

  15. Library Classification 2020

    Science.gov (United States)

    Harris, Christopher

    2013-01-01

    In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

  16. Colombia: Territorial classification

    International Nuclear Information System (INIS)

    Mendoza Morales, Alberto

    1998-01-01

    The article is about the approaches of territorial classification, thematic axes, handling principles and territorial occupation, politician and administrative units and administration regions among other topics. Understanding as Territorial Classification the space distribution on the territory of the country, of the geographical configurations, the human communities, the political-administrative units and the uses of the soil, urban and rural, existent and proposed

  17. DOE LLW classification rationale

    International Nuclear Information System (INIS)

    Flores, A.Y.

    1991-01-01

    This report was about the rationale which the US Department of Energy had with low-level radioactive waste (LLW) classification. It is based on the Nuclear Regulatory Commission's classification system. DOE site operators met to review the qualifications and characteristics of the classification systems. They evaluated performance objectives, developed waste classification tables, and compiled dose limits on the waste. A goal of the LLW classification system was to allow each disposal site the freedom to develop limits to radionuclide inventories and concentrations according to its own site-specific characteristics. This goal was achieved with the adoption of a performance objectives system based on a performance assessment, with site-specific environmental conditions and engineered disposal systems

  18. Psychopathology and classification in psychiatry.

    Science.gov (United States)

    Goldberg, David

    2015-01-01

    The strengths and weaknesses of the 5th edition of the Diagnostic and Statistical Manual of the American Psychiatric Association are considered, and the likely form of the revised version of the International Classification of Disease, due to be released in the future is briefly considered. It is argued that there are a number of problems in the checklist approach to diagnosis: there are no points of rarity between common disorders, and that many disorders are rough groupings containing highly heterogeneous syndromes. The tendency to reify these disorders and to view them as independent entities, and to stretch the concept of co-morbidity to cover individuals who satisfy more than one of the diagnostic checklists is seen as being misleading as it gives a false air of precision. Two broadly similar solutions are proposed for an alternative approach to common mental disorders.

  19. Radiological classification of mandibular fractures

    International Nuclear Information System (INIS)

    Mihailova, H.

    2009-01-01

    Mandibular fractures present the biggest part (up to 97%) of the facial bone fractures. Method of choice for diagnosing of mandibular fractures is conventional radiography. The aim of the issue is to present an unified radiological classification of mandibular fractures for the clinical practice. This classification includes only those clinical symptoms of mandibular fracture which could be radiologically objectified: exact anatomical localization (F1-F6), teeth in fracture line (Ta,Tb), grade of dislocation (D I, D II), occlusal disturbances (O(+), O(-)). Radiological symptoms expressed by letter and number symbols are systematized in a formula - FTDO of mandibular fractures similar to TNM formula for tumours. FTDO formula expresses radiological diagnose of each mandibular fracture but it doesn't include neither the site (left or right) of the fracture, nor the kind and number of fractures. In order to express topography and number of fractures the radiological formula is transformed into a decimal fraction. The symbols (FTD) of right mandible fracture are written in the numerator and those of the left site - in the denominator. For double and multiple fractures between the symbols for each fracture we put '+'. Symbols for occlusal disturbances are put down opposite, the fractional line. So topographo-anatomical formula (FTD/FTD)xO is formed. In this way the whole radiological information for unilateral, bilateral, single or multiple fractures of the mandible is expressed. The information in the radiological topography anatomic formula, resp. from the unified topography-anatomic classification ensures a quick and exact X-ray diagnose of mandibular fracture. In this way contributes to get better, make easier and faster X-ray diagnostic process concerning mandibular fractures. And all these is a precondition for prevention of retardation of the diagnosis mandibular fracture. (author)

  20. Kappa Coefficients for Circular Classifications

    NARCIS (Netherlands)

    Warrens, Matthijs J.; Pratiwi, Bunga C.

    2016-01-01

    Circular classifications are classification scales with categories that exhibit a certain periodicity. Since linear scales have endpoints, the standard weighted kappas used for linear scales are not appropriate for analyzing agreement between two circular classifications. A family of kappa

  1. Oral epithelial dysplasia classification systems

    DEFF Research Database (Denmark)

    Warnakulasuriya, S; Reibel, J; Bouquot, J

    2008-01-01

    . In this report, we review the oral epithelial dysplasia classification systems. The three classification schemes [oral epithelial dysplasia scoring system, squamous intraepithelial neoplasia and Ljubljana classification] were presented and the Working Group recommended epithelial dysplasia grading for routine...

  2. Prototype diagnosis of psychiatric syndromes

    Science.gov (United States)

    WESTEN, DREW

    2012-01-01

    The method of diagnosing patients used since the early 1980s in psychiatry, which involves evaluating each of several hundred symptoms for their presence or absence and then applying idiosyncratic rules for combining them for each of several hundred disorders, has led to great advances in research over the last 30 years. However, its problems have become increasingly apparent, particularly for clinical practice. An alternative approach, designed to maximize clinical utility, is prototype matching. Instead of counting symptoms of a disorder and determining whether they cross an arbitrary cutoff, the task of the diagnostician is to gauge the extent to which a patient’s clinical presentation matches a paragraph-length description of the disorder using a simple 5-point scale, from 1 (“little or no match”) to 5 (“very good match”). The result is both a dimensional diagnosis that captures the extent to which the patient “has” the disorder and a categorical diagnosis, with ratings of 4 and 5 corresponding to presence of the disorder and a rating of 3 indicating “subthreshold” or “clinically significant features”. The disorders and criteria woven into the prototypes can be identified empirically, so that the prototypes are both scientifically grounded and clinically useful. Prototype diagnosis has a number of advantages: it better captures the way humans naturally classify novel and complex stimuli; is clinically helpful, reliable, and easy to use in everyday practice; facilitates both dimensional and categorical diagnosis and dramatically reduces the number of categories required for classification; allows for clinically richer, empirically derived, and culturally relevant classification; reduces the gap between research criteria and clinical knowledge, by allowing clinicians in training to learn a small set of standardized prototypes and to develop richer mental representations of the disorders over time through clinical experience; and can help

  3. Pattern classification of endocervical adenocarcinoma: reproducibility and review of criteria.

    Science.gov (United States)

    Rutgers, Joanne K L; Roma, Andres A; Park, Kay J; Zaino, Richard J; Johnson, Abbey; Alvarado, Isabel; Daya, Dean; Rasty, Golnar; Longacre, Teri A; Ronnett, Brigitte M; Silva, Elvio G

    2016-09-01

    Previously, our international team proposed a three-tiered pattern classification (Pattern Classification) system for endocervical adenocarcinoma of the usual type that correlates with nodal disease and recurrence. Pattern Classification-A tumors have well-demarcated glands lacking destructive stromal invasion or lymphovascular invasion, Pattern Classification-B tumors show localized, limited destructive invasion arising from A-type glands, and Pattern Classification-C tumors have diffuse destructive stromal invasion, significant (filling a 4 × field) confluence, or solid architecture. Twenty-four cases of Pattern Classification-A, 22 Pattern Classification-B, and 38 Pattern Classification-C from the tumor set used in the original description were chosen using the reference diagnosis originally established. One H&E slide per case was reviewed by seven gynecologic pathologists, four from the original study. Kappa statistics were prepared, and cases with discrepancies reviewed. We found a majority agreement with reference diagnosis in 81% of cases, with complete or near-complete (six of seven) agreement in 50%. Overall concordance was 74%. Overall kappa (agreement among pathologists) was 0.488 (moderate agreement). Pattern Classification-B has lowest kappa, and agreement was not improved by combining B+C. Six of seven reviewers had substantial agreement by weighted kappas (>0.6), with one reviewer accounting for the majority of cases under or overcalled by two tiers. Confluence filling a 4 × field, labyrinthine glands, or solid architecture accounted for undercalling other reference diagnosis-C cases. Missing a few individually infiltrative cells was the most common cause of undercalling reference diagnosis-B. Small foci of inflamed, loose or desmoplastic stroma lacking infiltrative tumor cells in reference diagnosis-A appeared to account for those cases up-graded to Pattern Classification-B. In summary, an overall concordance of 74% indicates that the criteria can

  4. Cluster Based Text Classification Model

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock

    2011-01-01

    We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases......, the classifier is trained on each cluster having reduced dimensionality and less number of examples. The experimental results show that the proposed model outperforms the existing classification models for the task of suspicious email detection and topic categorization on the Reuters-21578 and 20 Newsgroups...... datasets. Our model also outperforms A Decision Cluster Classification (ADCC) and the Decision Cluster Forest Classification (DCFC) models on the Reuters-21578 dataset....

  5. Pitch Based Sound Classification

    DEFF Research Database (Denmark)

    Nielsen, Andreas Brinch; Hansen, Lars Kai; Kjems, U

    2006-01-01

    A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft......-max output function. Both linear and quadratic inputs are used. The model is trained on 2 hours of sound and tested on publicly available data. A test classification error below 0.05 with 1 s classification windows is achieved. Further more it is shown that linear input performs as well as a quadratic...

  6. Clinical Assessment And Diagnosis Of Dementia

    Directory of Open Access Journals (Sweden)

    Srikanth S

    2005-01-01

    Full Text Available Dementia is characterized by progressive decline in an alert individual, leading to loss of independence in day-to-day functioning. It is a generic term for a condition that has various causes and hence myriad clinical presentations. It has to be distinguished from age-related cognitive decline, depression and delirium all of which are common in the elderly population. Detailed history and mental status examination are necessary to identify dementia, fit it into one of the various bedside classifications and pursue the differential diagnosis. This teaching review summarizes current information on definition, differential diagnosis and classification of dementia and presents a brief elaboration of bedside cognitive testing pertaining to dementia. A bird′s eye view of the profiles of various dementia subtypes is also provided so that after reading this article the reader will able to recognize dementia, conduct clinical examination to identify the characteristic cognitive profile and formulate the differential diagnosis with confidence.

  7. Current Trends in the Molecular Classification of Renal Neoplasms

    Directory of Open Access Journals (Sweden)

    Andrew N. Young

    2006-01-01

    Full Text Available Renal cell carcinoma (RCC is the most common form of kidney cancer in adults. RCC is a significant challenge for pathologic diagnosis and clinical management. The primary approach to diagnosis is by light microscopy, using the World Health Organization (WHO classification system, which defines histopathologic tumor subtypes with distinct clinical behavior and underlying genetic mutations. However, light microscopic diagnosis of RCC subtypes is often difficult due to variable histology. In addition, the clinical behavior of RCC is highly variable and therapeutic response rates are poor. Few clinical assays are available to predict outcome in RCC or correlate behavior with histology. Therefore, novel RCC classification systems based on gene expression should be useful for diagnosis, prognosis, and treatment. Recent microarray studies have shown that renal tumors are characterized by distinct gene expression profiles, which can be used to discover novel diagnostic and prognostic biomarkers. Here, we review clinical features of kidney cancer, the WHO classification system, and the growing role of molecular classification for diagnosis, prognosis, and therapy of this disease.

  8. CLASSIFICATION OF VIRUSES

    Indian Academy of Sciences (India)

    First page Back Continue Last page Overview Graphics. CLASSIFICATION OF VIRUSES. On basis of morphology. On basis of chemical composition. On basis of structure of genome. On basis of mode of replication. Notes:

  9. Update on diabetes classification.

    Science.gov (United States)

    Thomas, Celeste C; Philipson, Louis H

    2015-01-01

    This article highlights the difficulties in creating a definitive classification of diabetes mellitus in the absence of a complete understanding of the pathogenesis of the major forms. This brief review shows the evolving nature of the classification of diabetes mellitus. No classification scheme is ideal, and all have some overlap and inconsistencies. The only diabetes in which it is possible to accurately diagnose by DNA sequencing, monogenic diabetes, remains undiagnosed in more than 90% of the individuals who have diabetes caused by one of the known gene mutations. The point of classification, or taxonomy, of disease, should be to give insight into both pathogenesis and treatment. It remains a source of frustration that all schemes of diabetes mellitus continue to fall short of this goal. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. Learning Apache Mahout classification

    CERN Document Server

    Gupta, Ashish

    2015-01-01

    If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.

  11. Latent classification models

    DEFF Research Database (Denmark)

    Langseth, Helge; Nielsen, Thomas Dyhre

    2005-01-01

    parametric family ofdistributions.  In this paper we propose a new set of models forclassification in continuous domains, termed latent classificationmodels. The latent classification model can roughly be seen ascombining the \\NB model with a mixture of factor analyzers,thereby relaxing the assumptions...... classification model, and wedemonstrate empirically that the accuracy of the proposed model issignificantly higher than the accuracy of other probabilisticclassifiers....

  12. Multilingual News Article Classification

    OpenAIRE

    Skjennum, Patrick L

    2016-01-01

    News is an ever-growing and global resource, reliant on robust distribution networks to spread information. This thesis investigates how exploiting semantic, contextual and ontological information may form a basis for a language independent news article classification system. In light of the above, a scalable multi-label news article classification system, based exclusively on extracted DBpedia entities, and a predetermined standardized set of fixed-size IPTC Media Topic categories, is p...

  13. Automated Diagnosis and Classification of Steam Generator Tube Defects

    International Nuclear Information System (INIS)

    Garcia, Gabe V.

    2004-01-01

    A major cause of failure in nuclear steam generators is tube degradation. Tube defects are divided into seven categories, one of which is intergranular attack/stress corrosion cracking (IGA/SCC). Defects of this type usually begin on the outer surface of the tubes and propagate both inward and laterally. In many cases these defects occur at or near the tube support plates. Several different methods exist for the nondestructive evaluation of nuclear steam generator tubes for defect characterization

  14. Improved classification, diagnosis and prognosis of canine round cell tumours

    NARCIS (Netherlands)

    Cangul, Taci

    2001-01-01

    As the name suggests, canine round cell tumour (RCTs) are composed of cells with a round morphology. There is some discrepancy amongst authors as to which tumours belong to this category, but most designate lymphomas, melanomas, plasmacytomas, transmissible venereal tumours (TVTs), histiocytomas,

  15. Views on classification and diagnosis of eating disorders.

    Science.gov (United States)

    Garfinkel, P E; Kennedy, S H; Kaplan, A S

    1995-10-01

    To highlight developments in the taxonomy of eating disorders since Russell's original description of bulimia nervosa (BN) in 1979 and through 3 versions of the Diagnostic and Statistical Manual. Criteria for anorexia nervosa (AN), BN and binge eating disorder (BED) are systematically described. While criteria for AN remain largely unchanged between DSM-III-R and DSM-IV, the subclassification of binge/purge and restricter subgroups endorses previous research findings. For BN, the definition of "binge" has occupied considerable attention both in quantitative and qualitative terms. The arbitrary choice of 2 episodes per week as a minimum frequency is also discussed in light of recent data from the Ontario Health Supplement. A third eating disorder, BED, is now included in the appendix of DSM-IV under Eating Disorders--Not Otherwise Specified category. The potential overlap between this disorder and nonpurging BN is discussed. Finally, the relationship between eating disorders and other psychiatric disorders including depression, schizophrenia, obsessional, and conversion disorders is considered as well as the continuum from preoccupation with weight to eating disorder. While significant advances have been made in understanding and classifying eating disorders during the past 15 years, further empirical work is necessary to clarify areas of uncertainty.

  16. Automated Diagnosis and Classification of Steam Generator Tube Defects

    Energy Technology Data Exchange (ETDEWEB)

    Dr. Gabe V. Garcia

    2004-10-01

    A major cause of failure in nuclear steam generators is tube degradation. Tube defects are divided into seven categories, one of which is intergranular attack/stress corrosion cracking (IGA/SCC). Defects of this type usually begin on the outer surface of the tubes and propagate both inward and laterally. In many cases these defects occur at or near the tube support plates. Several different methods exist for the nondestructive evaluation of nuclear steam generator tubes for defect characterization.

  17. Overlapping Chronic Pain Conditions: Implications for Diagnosis and Classification.

    Science.gov (United States)

    Maixner, William; Fillingim, Roger B; Williams, David A; Smith, Shad B; Slade, Gary D

    2016-09-01

    There is increasing recognition that many if not most common chronic pain conditions are heterogeneous with a high degree of overlap or coprevalence of other common pain conditions along with influences from biopsychosocial factors. At present, very little attention is given to the high degree of overlap of many common pain conditions when recruiting for clinical trials. As such, many if not most patients enrolled into clinical studies are not representative of most chronic pain patients. The failure to account for the heterogeneous and overlapping nature of most common pain conditions may result in treatment responses of small effect size when these treatments are administered to patients with chronic overlapping pain conditions (COPCs) represented in the general population. In this brief review we describe the concept of COPCs and the putative mechanisms underlying COPCs. Finally, we present a series of recommendations that will advance our understanding of COPCs. This brief review describes the concept of COPCs. A mechanism-based heuristic model is presented and current knowledge and evidence for COPCs are presented. Finally, a set of recommendations is provided to advance our understanding of COPCs. Copyright © 2016 American Pain Society. Published by Elsevier Inc. All rights reserved.

  18. Vowel Acoustics in Dysarthria: Speech Disorder Diagnosis and Classification

    Science.gov (United States)

    Lansford, Kaitlin L.; Liss, Julie M.

    2014-01-01

    Purpose: The purpose of this study was to determine the extent to which vowel metrics are capable of distinguishing healthy from dysarthric speech and among different forms of dysarthria. Method: A variety of vowel metrics were derived from spectral and temporal measurements of vowel tokens embedded in phrases produced by 45 speakers with…

  19. A New Classification Approach Based on Multiple Classification Rules

    OpenAIRE

    Zhongmei Zhou

    2014-01-01

    A good classifier can correctly predict new data for which the class label is unknown, so it is important to construct a high accuracy classifier. Hence, classification techniques are much useful in ubiquitous computing. Associative classification achieves higher classification accuracy than some traditional rule-based classification approaches. However, the approach also has two major deficiencies. First, it generates a very large number of association classification rules, especially when t...

  20. TFOS DEWS II Definition and Classification Report.

    Science.gov (United States)

    Craig, Jennifer P; Nichols, Kelly K; Akpek, Esen K; Caffery, Barbara; Dua, Harminder S; Joo, Choun-Ki; Liu, Zuguo; Nelson, J Daniel; Nichols, Jason J; Tsubota, Kazuo; Stapleton, Fiona

    2017-07-01

    The goals of the TFOS DEWS II Definition and Classification Subcommittee were to create an evidence-based definition and a contemporary classification system for dry eye disease (DED). The new definition recognizes the multifactorial nature of dry eye as a disease where loss of homeostasis of the tear film is the central pathophysiological concept. Ocular symptoms, as a broader term that encompasses reports of discomfort or visual disturbance, feature in the definition and the key etiologies of tear film instability, hyperosmolarity, and ocular surface inflammation and damage were determined to be important for inclusion in the definition. In the light of new data, neurosensory abnormalities were also included in the definition for the first time. In the classification of DED, recent evidence supports a scheme based on the pathophysiology where aqueous deficient and evaporative dry eye exist as a continuum, such that elements of each are considered in diagnosis and management. Central to the scheme is a positive diagnosis of DED with signs and symptoms, and this is directed towards management to restore homeostasis. The scheme also allows consideration of various related manifestations, such as non-obvious disease involving ocular surface signs without related symptoms, including neurotrophic conditions where dysfunctional sensation exists, and cases where symptoms exist without demonstrable ocular surface signs, including neuropathic pain. This approach is not intended to override clinical assessment and judgment but should prove helpful in guiding clinical management and research. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. A retrospective survey of childhood glaucoma prevalence according to Childhood Glaucoma Research Network classification.

    Science.gov (United States)

    Hoguet, Ambika; Grajewski, Alana; Hodapp, Elizabeth; Chang, Ta Chen Peter

    2016-02-01

    To evaluate the Childhood Glaucoma Research Network (CGRN) classification system and describe the prevalence of each subtype according to this classification. Retrospectively, the medical records of 205 consecutive childhood glaucoma and glaucoma suspect patients at an urban tertiary care center were reviewed. The initial diagnosis and new diagnosis according to CGRN classification were recorded. All patients fit one of the seven categories of the new classification. Seventy-one percent of diagnoses were changed upon reclassification. Twenty-three percent of patients had primary glaucoma (juvenile open-angle glaucoma and primary congenital glaucoma [PCG]); 36% had secondary glaucoma (glaucoma associated with nonacquired ocular anomalies; glaucoma associated with nonacquired systemic disease or syndrome; glaucoma associated with acquired condition; and glaucoma following cataract surgery); and 39% were glaucoma suspect. Of the patients diagnosed with glaucoma, PCG was the most common diagnosis, seen in 32% of patients. The CGRN classification provides a useful method of classifying childhood glaucoma.

  2. Fuzzy diagnosis

    International Nuclear Information System (INIS)

    Watanabe, K.

    1990-01-01

    Studies have been made on fuzzy diagnosis using inverse problem solutions of the fuzzy relational equation of ao R=b, where a is the failure vector, R the fuzzy relation matrix and b the sympton vector. Four phases of analyses were carried out in this study. First, fault tree analysis was undertaken to investigate what kind of causes produce fall of water level in a steam drum of ATR (Advanced Thermal Reactor), which is heavy-water-moderated boiling-water-cooled pressure-tube-type reactor. Next, simulation for 100 seconds was executed to determine how plant parameters respond to an occurrence of a transient induced by the cause. Third, the simulation data was analysed utilizing an autoregressive model. From this analysis, a total of 36 coherency functions up to 0.5 Hz in each transient were computed among nine important and detectable plant parameters, that is neutron flux, flow rate of coolant, steam and feed water, water level in the steam drum, pressure and opening area of control valve in a steam pipe, feed water temperature and electrical power. Last, the inverse problem of the fuzzy relational equation was solved. Relation matrices were adjusted from 0.00 to 1.00, after nine membership functions following the Gussian distribution for the symptom vector were estimated from correlation values of the coherency functions

  3. EULAR points to consider in the development of classification and diagnostic criteria in systemic vasculitis

    DEFF Research Database (Denmark)

    Basu, Neil; Watts, Richard; Bajema, Ingeborg

    2010-01-01

    The systemic vasculitides are multiorgan diseases where early diagnosis and treatment can significantly improve outcomes. Robust nomenclature reduces diagnostic delay. However, key aspects of current nomenclature are widely perceived to be out of date, these include disease definitions, classific...

  4. HEp-2 Cell Image Classification With Deep Convolutional Neural Networks.

    Science.gov (United States)

    Gao, Zhimin; Wang, Lei; Zhou, Luping; Zhang, Jianjia

    2017-03-01

    Efficient Human Epithelial-2 cell image classification can facilitate the diagnosis of many autoimmune diseases. This paper proposes an automatic framework for this classification task, by utilizing the deep convolutional neural networks (CNNs) which have recently attracted intensive attention in visual recognition. In addition to describing the proposed classification framework, this paper elaborates several interesting observations and findings obtained by our investigation. They include the important factors that impact network design and training, the role of rotation-based data augmentation for cell images, the effectiveness of cell image masks for classification, and the adaptability of the CNN-based classification system across different datasets. Extensive experimental study is conducted to verify the above findings and compares the proposed framework with the well-established image classification models in the literature. The results on benchmark datasets demonstrate that 1) the proposed framework can effectively outperform existing models by properly applying data augmentation, 2) our CNN-based framework has excellent adaptability across different datasets, which is highly desirable for cell image classification under varying laboratory settings. Our system is ranked high in the cell image classification competition hosted by ICPR 2014.

  5. Angioedema Phenotypes: Disease Expression and Classification.

    Science.gov (United States)

    Wu, Maddalena Alessandra; Perego, Francesca; Zanichelli, Andrea; Cicardi, Marco

    2016-10-01

    Due to marked heterogeneity of clinical presentations, comprehensive knowledge of angioedema phenotypes is crucial for correct diagnosis and choosing the appropriate therapeutic approach. One of the ways to a meaningful clinical distinction can be made between forms of angioedema occurring "with or without wheals." Angioedema with wheals (rash) is a hallmark of urticaria, either acute or chronic, spontaneous or inducible. Angioedema without wheals may still be manifested in about 10 % of patients with urticaria, but it may also occur as a separate entity. Several classifications of angioedema as part of urticaria were published over time, while a latest one, released in 2014 (HAWK group consensus, see below), provided a classification of all forms of "angioedema without wheals" distinct from urticaria, which will be the focus of the present review. At this time, the HAWK consensus classification is the best in terms of covering the pathophysiology, mediators involved, angioedema triggers, and clinical expression. According to this classification, three types of hereditary angioedema (genetic C1-INH deficiency, normal C1-INH with factor XII mutations, and unknown origin) and four types of acquired angioedema (C1-INH deficiency, related to ACE inhibitors intake, idiopathic histaminergic, and idiopathic non-histaminergic) are presented. We will review the distinctive clinical features of each phenotype in details.

  6. Pulmonary nodule classification with deep residual networks.

    Science.gov (United States)

    Nibali, Aiden; He, Zhen; Wollersheim, Dennis

    2017-10-01

    PURPOSE  : Lung cancer has the highest death rate among all cancers in the USA. In this work we focus on improving the ability of computer-aided diagnosis (CAD) systems to predict the malignancy of nodules from cropped CT images of lung nodules. We evaluate the effectiveness of very deep convolutional neural networks at the task of expert-level lung nodule malignancy classification. Using the state-of-the-art ResNet architecture as our basis, we explore the effect of curriculum learning, transfer learning, and varying network depth on the accuracy of malignancy classification. Due to a lack of public datasets with standardized problem definitions and train/test splits, studies in this area tend to not compare directly against other existing work. This makes it hard to know the relative improvement in the new solution. In contrast, we directly compare our system against two state-of-the-art deep learning systems for nodule classification on the LIDC/IDRI dataset using the same experimental setup and data set. The results show that our system achieves the highest performance in terms of all metrics measured including sensitivity, specificity, precision, AUROC, and accuracy. The proposed method of combining deep residual learning, curriculum learning, and transfer learning translates to high nodule classification accuracy. This reveals a promising new direction for effective pulmonary nodule CAD systems that mirrors the success of recent deep learning advances in other image-based application domains.

  7. Definition and Classification of Heart Failure

    Directory of Open Access Journals (Sweden)

    Mitja Lainscak

    2017-01-01

    Full Text Available A review of the definition and classification of heart failure, updated since the recent 2016 European Society of Cardiology guidelines for the diagnosis and treatment of acute and chronic heart failure. Heart failure is defined by the European Society of Cardiology (ESC as a clinical syndrome characterised by symptoms such as shortness of breath, persistent coughing or wheezing, ankle swelling and fatigue, that may be accompanied by the following signs: jugular venous pressure, pulmonary crackles, increased heart rate and peripheral oedema. However, these signs may not be present in the early stages and in patients treated with diuretics. When apparent, they are due to a structural and/or functional cardiac abnormality, leading to systolic and/or diastolic ventricular dysfunction, resulting in a reduced cardiac output and/or elevated intra- cardiac pressures at rest or during stress. According to the most recent ESC guidelines the initial evaluation of patients with suspected heart failure should include a clinical history and physical examination, laboratory assessment, chest radiography, and electrocardiography. Echocardiography can confirm the diagnosis. Beyond detecting myocardial abnormality, other impairments such as abnormalities of the valves, pericardium, endocardium, heart rhythm, and conduction may be found. The identification of the underlying aetiology is pivotal for the diagnosis of heart failure and its treatment. The authors review the definitions and classifications of heart failure.

  8. Iterative Self Organized Data Algorithm for Fault Classification of Mechanical System

    OpenAIRE

    Jayamala K. Patil; P. B. Ghewari; S. S. Nagtilak

    2011-01-01

    The challenging issue for mechanical industry is to develop fast & reliable fault diagnosis systems before total breakdown of machine. Fault diagnosis & classification of faults of mechanical systems is a difficult task. It improves productivity & reduces cost of production. This paper presents an approach for classification of commonly observed faults in gears of mechanical system. These faults include weared gear, gear with one tooth broken & gear with crack on one tooth. The Power Spectral...

  9. Computational diagnosis of canine lymphoma

    Science.gov (United States)

    Mirkes, E. M.; Alexandrakis, I.; Slater, K.; Tuli, R.; Gorban, A. N.

    2014-03-01

    One out of four dogs will develop cancer in their lifetime and 20% of those will be lymphoma cases. PetScreen developed a lymphoma blood test using serum samples collected from several veterinary practices. The samples were fractionated and analysed by mass spectrometry. Two protein peaks, with the highest diagnostic power, were selected and further identified as acute phase proteins, C-Reactive Protein and Haptoglobin. Data mining methods were then applied to the collected data for the development of an online computer-assisted veterinary diagnostic tool. The generated software can be used as a diagnostic, monitoring and screening tool. Initially, the diagnosis of lymphoma was formulated as a classification problem and then later refined as a lymphoma risk estimation. Three methods, decision trees, kNN and probability density evaluation, were used for classification and risk estimation and several preprocessing approaches were implemented to create the diagnostic system. For the differential diagnosis the best solution gave a sensitivity and specificity of 83.5% and 77%, respectively (using three input features, CRP, Haptoglobin and standard clinical symptom). For the screening task, the decision tree method provided the best result, with sensitivity and specificity of 81.4% and >99%, respectively (using the same input features). Furthermore, the development and application of new techniques for the generation of risk maps allowed their user-friendly visualization.

  10. Computational diagnosis of canine lymphoma

    International Nuclear Information System (INIS)

    Mirkes, E M; Gorban, A N; Alexandrakis, I; Tuli, R; Slater, K

    2014-01-01

    One out of four dogs will develop cancer in their lifetime and 20% of those will be lymphoma cases. PetScreen developed a lymphoma blood test using serum samples collected from several veterinary practices. The samples were fractionated and analysed by mass spectrometry. Two protein peaks, with the highest diagnostic power, were selected and further identified as acute phase proteins, C-Reactive Protein and Haptoglobin. Data mining methods were then applied to the collected data for the development of an online computer-assisted veterinary diagnostic tool. The generated software can be used as a diagnostic, monitoring and screening tool. Initially, the diagnosis of lymphoma was formulated as a classification problem and then later refined as a lymphoma risk estimation. Three methods, decision trees, kNN and probability density evaluation, were used for classification and risk estimation and several preprocessing approaches were implemented to create the diagnostic system. For the differential diagnosis the best solution gave a sensitivity and specificity of 83.5% and 77%, respectively (using three input features, CRP, Haptoglobin and standard clinical symptom). For the screening task, the decision tree method provided the best result, with sensitivity and specificity of 81.4% and >99%, respectively (using the same input features). Furthermore, the development and application of new techniques for the generation of risk maps allowed their user-friendly visualization

  11. Cellular image classification

    CERN Document Server

    Xu, Xiang; Lin, Feng

    2017-01-01

    This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods. Throughout the book, the authors provide evaluations for the proposed methods on two publicly available human epithelial (HEp-2) cell datasets: ICPR2012 dataset from the ICPR'12 HEp-2 cell classification contest and ICIP2013 training dataset from the ICIP'13 Competition on cells classification by fluorescent image analysis. First, the reading of imaging results is significantly influenced by one’s qualification and reading systems, causing high intra- and inter-laboratory variance. The authors present a low-order LP21 fiber mode for optical single cell manipulation and imaging staining patterns of HEp-2 cells. A focused four-lobed mode distribution is stable and effective in optical...

  12. Bosniak classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens

    2016-01-01

    BACKGROUND: The Bosniak classification was originally based on computed tomographic (CT) findings. Magnetic resonance (MR) and contrast-enhanced ultrasonography (CEUS) imaging may demonstrate findings that are not depicted at CT, and there may not always be a clear correlation between the findings...... at MR and CEUS imaging and those at CT. PURPOSE: To compare diagnostic accuracy of MR, CEUS, and CT when categorizing complex renal cystic masses according to the Bosniak classification. MATERIAL AND METHODS: From February 2011 to June 2012, 46 complex renal cysts were prospectively evaluated by three...... readers. Each mass was categorized according to the Bosniak classification and CT was chosen as gold standard. Kappa was calculated for diagnostic accuracy and data was compared with pathological results. RESULTS: CT images found 27 BII, six BIIF, seven BIII, and six BIV. Forty-three cysts could...

  13. Medical imbalanced data classification

    Directory of Open Access Journals (Sweden)

    Sara Belarouci

    2017-04-01

    Full Text Available In general, the imbalanced dataset is a problem often found in health applications. In medical data classification, we often face the imbalanced number of data samples where at least one of the classes constitutes only a very small minority of the data. In the same time, it represent a difficult problem in most of machine learning algorithms. There have been many works dealing with classification of imbalanced dataset. In this paper, we proposed a learning method based on a cost sensitive extension of Least Mean Square (LMS algorithm that penalizes errors of different samples with different weights and some rules of thumb to determine those weights. After the balancing phase, we apply the different techniques (Support Vector Machine [SVM], K- Nearest Neighbor [K-NN] and Multilayer perceptron [MLP] for the balanced datasets. We have also compared the obtained results before and after balancing method. We have obtained best results compared to literature with a classification accuracy of 100%.

  14. Acoustic classification of dwellings

    DEFF Research Database (Denmark)

    Berardi, Umberto; Rasmussen, Birgit

    2014-01-01

    Schemes for the classification of dwellings according to different building performances have been proposed in the last years worldwide. The general idea behind these schemes relates to the positive impact a higher label, and thus a better performance, should have. In particular, focusing on sound...... insulation performance, national schemes for sound classification of dwellings have been developed in several European countries. These schemes define acoustic classes according to different levels of sound insulation. Due to the lack of coordination among countries, a significant diversity in terms...... of descriptors, number of classes, and class intervals occurred between national schemes. However, a proposal “acoustic classification scheme for dwellings” has been developed recently in the European COST Action TU0901 with 32 member countries. This proposal has been accepted as an ISO work item. This paper...

  15. Classification of first branchial cleft anomalies: is it clinically relevant?

    African Journals Online (AJOL)

    the lesion's relation with the facial nerve or the outcome of excision. Conclusion The current classification systems used for first branchial cleft anomalies have little clinical relevance apart from providing extensive descriptions to aid in diagnosis. We advise instead that clinicians use imaging techniques to gain as much ...

  16. An intelligent temporal pattern classification system using fuzzy ...

    Indian Academy of Sciences (India)

    In this paper, we propose a new pattern classification system by combining Temporal features with Fuzzy Min–Max (TFMM) neural network based classifier for effective decision support in medical diagnosis. Moreover, a Particle Swarm Optimization (PSO) algorithm based rule extractor is also proposed in this work for ...

  17. Yellowish lesions of the oral cavity. Suggestion for a classification.

    Science.gov (United States)

    Gómez, Iria; Varela, Pablo; Romero, Amparo; García, María José; Suárez, María Mercedes; Seoane, Juan

    2007-08-01

    The colour of a lesion is due to its nature and to its histological substratum. In order to ease diagnosis, oral cavity lesions have been classified according to their colour in: white, red, white and red, bluish and/or purple, brown, grey and/or black lesions. To the best of our knowledge, there is no such a classification for yellow lesions. So, a suggestion for a classification of yellowish lesions according to their semiology is made with the following headings: diffuse macular lesions, papular, hypertrophic, or pustular lesions, together with cysts and nodes. This interpretation of the lesions by its colour is the first step to diagnosis. It should be taken into account that, as happens with any other classification, the yellowish group of lesions includes items with different prognosis as well as possible markers of systemic disorders.

  18. Minimum Error Entropy Classification

    CERN Document Server

    Marques de Sá, Joaquim P; Santos, Jorge M F; Alexandre, Luís A

    2013-01-01

    This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals. Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.

  19. Classification of iconic images

    OpenAIRE

    Zrianina, Mariia; Kopf, Stephan

    2016-01-01

    Iconic images represent an abstract topic and use a presentation that is intuitively understood within a certain cultural context. For example, the abstract topic “global warming” may be represented by a polar bear standing alone on an ice floe. Such images are widely used in media and their automatic classification can help to identify high-level semantic concepts. This paper presents a system for the classification of iconic images. It uses a variation of the Bag of Visual Words approach wi...

  20. Information gathering for CLP classification

    Directory of Open Access Journals (Sweden)

    Ida Marcello

    2011-01-01

    Full Text Available Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP. If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  1. Sonographic diagnosis of

    Directory of Open Access Journals (Sweden)

    Stroever, Brigitte

    2005-11-01

    Full Text Available Introduction: The acute abdomen is the main term for an at first unclear emergency situation of the abdominal cavity. The acute abdomen belongs to the three most important reasons for the admission of patients into the emergency room. Further, this illness ranks 40% of all consultations in the ambulant care sector. The acute abdomen requires an early and direct diagnosis because of its potential of having a life threatening differential diagnosis. This HTA report aimed to assess the ultrasound diagnosis of the acute abdomen considering children and adults. This will be done from a medical and economic perspective. The differential diagnosis respectively the cause of the acute abdomen binds high direct treatment costs, especially in the stationary sector. Ultrasound diagnosis is a procedure that plays a big part in the differential diagnosis process and it is widely used in practise. Other research methods of diagnosing acute abdominal illness are: clinical examinations with inspection and palpation, surgical exploration and laparocopy as well as computer tomography and x-ray examination. Objectives: The main objective of this HTA report is to assess what significance sonography should have within the examination strategy of the acute abdomen from the medical and economical view. Second, this HTA report will evaluate under which circumstances the ultrasonographic diagnosis of the acute abdomen, considering medical and economical quality classifications, is the alternative of choice to comparable diagnostic measures. Methods: The target population this HTA report is aimed at are children and adults with acute abdomen or embedded differential diagnosis. A systematic literature search was conducted covering all relevant medical and HTA-databases. Furthermore, handsearch was conducted inside of the known data bases of HTA-institutions as well as from medical and economical journals. The following databases were searched in cooperation with DIMDI to

  2. Event Classification using Concepts

    NARCIS (Netherlands)

    Boer, M.H.T. de; Schutte, K.; Kraaij, W.

    2013-01-01

    The semantic gap is one of the challenges in the GOOSE project. In this paper a Semantic Event Classification (SEC) system is proposed as an initial step in tackling the semantic gap challenge in the GOOSE project. This system uses semantic text analysis, multiple feature detectors using the BoW

  3. Shark Teeth Classification

    Science.gov (United States)

    Brown, Tom; Creel, Sally; Lee, Velda

    2009-01-01

    On a recent autumn afternoon at Harmony Leland Elementary in Mableton, Georgia, students in a fifth-grade science class investigated the essential process of classification--the act of putting things into groups according to some common characteristics or attributes. While they may have honed these skills earlier in the week by grouping their own…

  4. Classification system: Netherlands

    NARCIS (Netherlands)

    Hartemink, A.E.

    2006-01-01

    Although people have always classified soils, it is only since the mid 19th century that soil classification emerged as an important topic within soil science. It forced soil scientists to think systematically about soils and its genesis and developed to facilitate communication between soil

  5. Text document classification

    Czech Academy of Sciences Publication Activity Database

    Novovičová, Jana

    č. 62 (2005), s. 53-54 ISSN 0926-4981 R&D Projects: GA AV ČR IAA2075302; GA AV ČR KSK1019101; GA MŠk 1M0572 Institutional research plan: CEZ:AV0Z10750506 Keywords : document representation * categorization * classification Subject RIV: BD - Theory of Information

  6. Classifications in popular music

    NARCIS (Netherlands)

    van Venrooij, A.; Schmutz, V.; Wright, J.D.

    2015-01-01

    The categorical system of popular music, such as genre categories, is a highly differentiated and dynamic classification system. In this article we present work that studies different aspects of these categorical systems in popular music. Following the work of Paul DiMaggio, we focus on four

  7. Mimicking human texture classification

    NARCIS (Netherlands)

    Rogowitz, B.E.; van Rikxoort, Eva M.; van den Broek, Egon; Pappas, T.N.; Schouten, Theo E.; Daly, S.J.

    2005-01-01

    In an attempt to mimic human (colorful) texture classification by a clustering algorithm three lines of research have been encountered, in which as test set 180 texture images (both their color and gray-scale equivalent) were drawn from the OuTex and VisTex databases. First, a k-means algorithm was

  8. Classification of myocardial infarction

    DEFF Research Database (Denmark)

    Saaby, Lotte; Poulsen, Tina Svenstrup; Hosbond, Susanne

    2013-01-01

    The classification of myocardial infarction into 5 types was introduced in 2007 as an important component of the universal definition. In contrast to the plaque rupture-related type 1 myocardial infarction, type 2 myocardial infarction is considered to be caused by an imbalance between demand...

  9. Faculty Assignment Classification System.

    Science.gov (United States)

    Whatcom Community Coll., Ferndale, WA.

    This document outlines the point-based faculty assignment classification system in effect at Whatcom Community College (Washington). The purpose of the point system is to provide an equitable and flexible means of compensating faculty members based on a system of assigning quantitative values to tasks. Teaching, which includes classroom…

  10. Steel column base classification

    OpenAIRE

    Jaspart, J.P.; Wald, F.; Weynand, K.; Gresnigt, A.M.

    2008-01-01

    The influence of the rotational characteristics of the column bases on the structural frame response is discussed and specific design criteria for stiffness classification into semi-rigid and rigid joints are derived. The particular case of an industrial portal frame is then considered. Peer reviewed

  11. Principles for ecological classification

    Science.gov (United States)

    Dennis H. Grossman; Patrick Bourgeron; Wolf-Dieter N. Busch; David T. Cleland; William Platts; G. Ray; C. Robins; Gary Roloff

    1999-01-01

    The principal purpose of any classification is to relate common properties among different entities to facilitate understanding of evolutionary and adaptive processes. In the context of this volume, it is to facilitate ecosystem stewardship, i.e., to help support ecosystem conservation and management objectives.

  12. Ecosystem classification, Chapter 2

    Science.gov (United States)

    M.J. Robin-Abbott; L.H. Pardo

    2011-01-01

    The ecosystem classification in this report is based on the ecoregions developed through the Commission for Environmental Cooperation (CEC) for North America (CEC 1997). Only ecosystems that occur in the United States are included. CEC ecoregions are described, with slight modifications, below (CEC 1997) and shown in Figures 2.1 and 2.2. We chose this ecosystem...

  13. Ontologies vs. Classification Systems

    DEFF Research Database (Denmark)

    Madsen, Bodil Nistrup; Erdman Thomsen, Hanne

    2009-01-01

    data sets or for obtaining advanced search facilities. In this paper we will present an attempt at answering these questions. We will give a presentation of various types of ontologies and briefly introduce terminological ontologies. Furthermore we will argue that classification systems, e.g. product...

  14. An automated cirrus classification

    Science.gov (United States)

    Gryspeerdt, Edward; Quaas, Johannes; Sourdeval, Odran; Goren, Tom

    2017-04-01

    Cirrus clouds play an important role in determining the radiation budget of the earth, but our understanding of the lifecycle and controls on cirrus clouds remains incomplete. Cirrus clouds can have very different properties and development depending on their environment, particularly during their formation. However, the relevant factors often cannot be distinguished using commonly retrieved satellite data products (such as cloud optical depth). In particular, the initial cloud phase has been identified as an important factor in cloud development, but although back-trajectory based methods can provide information on the initial cloud phase, they are computationally expensive and depend on the cloud parametrisations used in re-analysis products. In this work, a classification system (Identification and Classification of Cirrus, IC-CIR) is introduced. Using re-analysis and satellite data, cirrus clouds are separated in four main types: frontal, convective, orographic and in-situ. The properties of these classes show that this classification is able to provide useful information on the properties and initial phase of cirrus clouds, information that could not be provided by instantaneous satellite retrieved cloud properties alone. This classification is designed to be easily implemented in global climate models, helping to improve future comparisons between observations and models and reducing the uncertainty in cirrus clouds properties, leading to improved cloud parametrisations.

  15. Defining active sacroiliitis on MRI for classification of axial spondyloarthritis

    DEFF Research Database (Denmark)

    Lambert, Robert G W; Bakker, Pauline A C; van der Heijde, Désirée

    2016-01-01

    OBJECTIVES: To review and update the existing definition of a positive MRI for classification of axial spondyloarthritis (SpA). METHODS: The Assessment in SpondyloArthritis International Society (ASAS) MRI working group conducted a consensus exercise to review the definition of a positive MRI...... for inclusion in the ASAS classification criteria of axial SpA. Existing definitions and new data relevant to the MRI diagnosis and classification of sacroiliitis and spondylitis in axial SpA, published since the ASAS definition first appeared in print in 2009, were reviewed and discussed. The precise wording....... CONCLUSION: The definition of a positive MRI for classification of axial SpA should continue to primarily depend on the imaging features of 'active sacroiliitis' until more data are available regarding MRI features of structural damage in the sacroiliac joint and MRI features in the spine and their utility...

  16. Ensemble methods with outliers for phonocardiogram classification.

    Science.gov (United States)

    Nabhan Homsi, Masun; Warrick, Philip

    2017-07-31

    Heart sound classification and analysis play an important role in the early diagnosis and prevention of cardiovascular disease. To this end, this paper introduces a novel method for automatic classification of normal and abnormal heart sound recordings. Signals are first preprocessed to extract a total of 131 features in the time, frequency, wavelet and statistical domains from the entire signal and from the timings of the states. Outlier signals are then detected and separated from those with a standard range using an interquartile range algorithm. After that, feature extreme values are given special consideration, and finally features are reduced to the most significant ones using a feature reduction technique. In the classification stage, the selected features either for standard or outlier signals are fed separately into an ensemble of 20 two-step classifiers for the classification task. The first step of the classifier is represented by a nested set of ensemble algorithms which was cross-validated on the training dataset provided by PhysioNet Challenge 2016, while the second one uses a voting rule of the class label. The results show that this method is able to recognize heart sound recordings efficiently, achieving an overall score of 96.30% for standard signals and 90.18% for outlier signals on a cross-validated experiment using the available training data. The approach of our proposed method helped reduce overfitting and improved classification performance, achieving an overall score on the hidden test set of 80.1% (79.6% sensitivity and 80.6% specificity).

  17. Multiple Sparse Representations Classification

    Science.gov (United States)

    Plenge, Esben; Klein, Stefan S.; Niessen, Wiro J.; Meijering, Erik

    2015-01-01

    Sparse representations classification (SRC) is a powerful technique for pixelwise classification of images and it is increasingly being used for a wide variety of image analysis tasks. The method uses sparse representation and learned redundant dictionaries to classify image pixels. In this empirical study we propose to further leverage the redundancy of the learned dictionaries to achieve a more accurate classifier. In conventional SRC, each image pixel is associated with a small patch surrounding it. Using these patches, a dictionary is trained for each class in a supervised fashion. Commonly, redundant/overcomplete dictionaries are trained and image patches are sparsely represented by a linear combination of only a few of the dictionary elements. Given a set of trained dictionaries, a new patch is sparse coded using each of them, and subsequently assigned to the class whose dictionary yields the minimum residual energy. We propose a generalization of this scheme. The method, which we call multiple sparse representations classification (mSRC), is based on the observation that an overcomplete, class specific dictionary is capable of generating multiple accurate and independent estimates of a patch belonging to the class. So instead of finding a single sparse representation of a patch for each dictionary, we find multiple, and the corresponding residual energies provides an enhanced statistic which is used to improve classification. We demonstrate the efficacy of mSRC for three example applications: pixelwise classification of texture images, lumen segmentation in carotid artery magnetic resonance imaging (MRI), and bifurcation point detection in carotid artery MRI. We compare our method with conventional SRC, K-nearest neighbor, and support vector machine classifiers. The results show that mSRC outperforms SRC and the other reference methods. In addition, we present an extensive evaluation of the effect of the main mSRC parameters: patch size, dictionary size, and

  18. NEW CLASSIFICATION OF ECOPOLICES

    Directory of Open Access Journals (Sweden)

    VOROBYOV V. V.

    2016-09-01

    Full Text Available Problem statement. Ecopolices are the newest stage of the urban planning. They have to be consideredsuchas material and energy informational structures, included to the dynamic-evolutionary matrix netsofex change processes in the ecosystems. However, there are not made the ecopolice classifications, developing on suchapproaches basis. And this determined the topicality of the article. Analysis of publications on theoretical and applied aspects of the ecopolices formation showed, that the work on them is managed mainly in the context of the latest scientific and technological achievements in the various knowledge fields. These settlements are technocratic. They are connected with the morphology of space, network structures of regional and local natural ecosystems, without independent stability, can not exist without continuous man support. Another words, they do not work in with an ecopolices idea. It is come to a head for objective, symbiotic searching of ecopolices concept with the development of their classifications. Purpose statement is to develop the objective evidence for ecopolices and to propose their new classification. Conclusion. On the base of the ecopolices classification have to lie an elements correlation idea of their general plans and men activity type according with natural mechanism of accepting, reworking and transmission of material, energy and information between geo-ecosystems, planet, man, ecopolices material part and Cosmos. New ecopolices classification should be based on the principles of multi-dimensional, time-spaced symbiotic clarity with exchange ecosystem networks. The ecopolice function with this approach comes not from the subjective anthropocentric economy but from the holistic objective of Genesis paradigm. Or, otherwise - not from the Consequence, but from the Cause.

  19. How Well Does the ICHD 3 (Beta) Help in Real-Life Migraine Diagnosis and Management?

    DEFF Research Database (Denmark)

    Ashina, Sait; Olesen, Jes; Lipton, Richard B

    2016-01-01

    Classification has played a major role in the diagnosis of primary headache conditions including migraine with and without aura. With many updates and changes, the International Classification of Headache Disorders (ICHD)-3 beta is currently considered as the gold standard for classification...... of migraine and other headaches. Correct diagnosis of migraine and its subtypes is a first step toward appropriate treatment and crucial to minimizing disability and optimizing health-related quality of life. The ICHD-3 beta version represents the state of the art in migraine diagnosis but is expected...

  20. 78 FR 54970 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-09-09

    ... industry and ICE, AMS proposes to offer a futures classification option whereby cotton bales may be... contract month. It is anticipated that AMS would make the futures classification option available December... Sec. 121.201). Establishing the registration option for cotton futures classification will not...

  1. 78 FR 68983 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-11-18

    ... response to requests from the U.S. cotton industry and ICE, AMS will offer a futures classification option... parameters established by that exchange. AMS anticipates that the futures classification option will be... competition in the marketplace; (5) The futures classification option is expected to streamline marketing and...

  2. Plague Diagnosis and Treatment

    Science.gov (United States)

    ... Healthcare Professionals Clinicians Public Health Officials Veterinarians Prevention History of Plague Resources FAQ Diagnosis and Treatment Recommend on Facebook Tweet Share Compartir Detailed Diagnosis and Treatment Recommendations ...

  3. Classification of mitral insufficiency and stenosis using MLP neural network and neuro-fuzzy system.

    Science.gov (United States)

    Barýpçý, Necaattin; Ergün, Uçman; Ilkay, Erdoğan; Serhatlýoğlu, Selami; Hardalaç, Firat; Güler, Inan

    2004-10-01

    Cardiac Doppler signals recorded from mitral valve of 60 patients were transferred to a personal computer by using a 16-bit sound card. The power spectral density (PSD) was applied to the recorded signal from each patient. In order to do a good interpretation and rapid diagnosis, PSD values classified using multilayer perceptron (MLP) and neuro-fuzzy system. Our findings demonstrated that 93.33% classification success rate was obtained from MLP, 90% classification success rate was obtained from neuro-fuzzy system. The classification results show that MLP offers best results in the case of diagnosis.

  4. Clinical diagnosis and computer analysis of headache symptoms.

    OpenAIRE

    Drummond, P D; Lance, J W

    1984-01-01

    The headache histories obtained from clinical interviews of 600 patients were analysed by computer to see whether patients could be separated systematically into clinical categories and to see whether sets of symptoms commonly reported together differed in distribution among the categories. The computer classification procedure assigned 537 patients to the same category as their clinical diagnosis, the majority of discrepancies between clinical and computer classifications involving common mi...

  5. Part 1: diagnosis and monitoring

    Directory of Open Access Journals (Sweden)

    Dorota Krasowska

    2017-11-01

    Full Text Available Systemic sclerosis is an immune-mediated disease characterized by a chronic and progressive course. It often leads to multiorgan failure and patient disability, and contributes to significant reduction in the quality of life. Systemic sclerosis affects the skin, subcutaneous tissue, muscles, osteoarticular system and internal organs. The complexity and diversity of clinical presentations require an individual approach and multidisciplinary collaboration both at the stage of diagnosis and treatment. Critical factors in systemic sclerosis include early diagnosis, assessment of internal organ involvement, identification of patients at potential risk of organ complications, assessment of disease dynamics and activity, and implementation of optimal therapy. Part 1 presents current recommendations for the diagnostics and monitoring of patients with systemic sclerosis. Attention is given to classification criteria, clinical forms of systemic sclerosis, assessment of skin thickness and systemic sclerosis microangiopathy, significance of antinuclear antibodies, diagnosis of interstitial lung disease and pulmonary arterial hypertension, renal crisis and cardiac abnormalities, and evaluation of the gastrointestinal tract and osteoarticular and muscular systems.

  6. Onychomycosis: Pathogenesis, Diagnosis, and Management

    Science.gov (United States)

    Elewski, Boni E.

    1998-01-01

    Although not life-threatening, onychomycosis (a fungal infection of the nail, usually caused by a dermatophyte) constitutes an important public health problem because of its high prevalence (about 10% of the U.S. population) and associated morbidity. The disease can have certain negative consequences for patients, such as pain, and can potentially undermine work and social lives. This review discusses the etiology, classification, diagnosis, and treatment of onychomycosis. Four types of onychomycosis are recognized based on the site and pattern of fungal invasion. Dermatophyte fungi are the predominant pathogens, but yeasts (especially Candida albicans) and nondermatophyte molds may also be implicated. Accurate diagnosis requires direct microscopy and fungal culture. The differential diagnosis includes psoriasis, lichen planus, onychogryphosis, and nail trauma. Onychomycosis is more difficult to treat than most dermatophytoses because of the inherent slow growth of the nail. Older antifungal agents (ketoconazole and griseofulvin) are unsuitable for onychomycosis because of their relatively poor efficacy and potential adverse effects. Three recently developed antimycotic agents (fluconazole, itraconazole, and terbinafine) offer high cure rates and good safety profiles. In addition, the short treatment times (<3 months) and intermittent dosing schedules are likely to enhance compliance and reduce the costs of therapy. PMID:9665975

  7. Classification of Osteogenesis Imperfecta revisited

    NARCIS (Netherlands)

    van Dijk, F. S.; Pals, G.; van Rijn, R. R.; Nikkels, P. G. J.; Cobben, J. M.

    2010-01-01

    In 1979 Sillence proposed a classification of Osteogenesis Imperfecta (OI) in OI types I, II, III and IV. In 2004 and 2007 this classification was expanded with OI types V-VIII because of distinct clinical features and/or different causative gene mutations. We propose a revised classification of OI

  8. IAEA Classification of Uranium Deposits

    International Nuclear Information System (INIS)

    Bruneton, Patrice

    2014-01-01

    Classifications of uranium deposits follow two general approaches, focusing on: • descriptive features such as the geotectonic position, the host rock type, the orebody morphology, …… : « geologic classification »; • or on genetic aspects: « genetic classification »

  9. BIRADS classification in mammography.

    Science.gov (United States)

    Balleyguier, Corinne; Ayadi, Salma; Van Nguyen, Kim; Vanel, Daniel; Dromain, Clarisse; Sigal, Robert

    2007-02-01

    The Breast Imaging Report and Data System (BIRADS) of the American College of Radiology (ACR) is today largely used in most of the countries where breast cancer screening is implemented. It is a tool defined to reduce variability between radiologists when creating the reports in mammography, ultrasonography or MRI. Some changes in the last version of the BIRADStrade mark have been included to reduce the inaccuracy of some categories, especially for category 4. The BIRADStrade mark includes a lexicon and descriptive diagrams of the anomalies, recommendations for the mammographic report as well as councils and examples of mammographic cases. This review describes the mammographic items of the BIRADS classification with its more recent developments, while detailing the advantages and limits of this classification.

  10. Sound classification of dwellings

    DEFF Research Database (Denmark)

    Rasmussen, Birgit

    2012-01-01

    National schemes for sound classification of dwellings exist in more than ten countries in Europe, typically published as national standards. The schemes define quality classes reflecting different levels of acoustical comfort. Main criteria concern airborne and impact sound insulation between...... dwellings, facade sound insulation and installation noise. The schemes have been developed, implemented and revised gradually since the early 1990s. However, due to lack of coordination between countries, there are significant discrepancies, and new standards and revisions continue to increase the diversity...... is needed, and a European COST Action TU0901 "Integrating and Harmonizing Sound Insulation Aspects in Sustainable Urban Housing Constructions", has been established and runs 2009-2013, one of the main objectives being to prepare a proposal for a European sound classification scheme with a number of quality...

  11. CLASSIFICATION OF CRIMINAL GROUPS

    OpenAIRE

    Natalia Romanova

    2013-01-01

    New types of criminal groups are emerging in modern society.  These types have their special criminal subculture. The research objective is to develop new parameters of classification of modern criminal groups, create a new typology of criminal groups and identify some features of their subculture. Research methodology is based on the system approach that includes using the method of analysis of documentary sources (materials of a criminal case), method of conversations with themembers of the...

  12. Classification and regression trees

    CERN Document Server

    Breiman, Leo; Olshen, Richard A; Stone, Charles J

    1984-01-01

    The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.

  13. Classification Constrained Dimensionality Reduction

    OpenAIRE

    Raich, Raviv; Costa, Jose A.; Damelin, Steven B.; Hero III, Alfred O.

    2008-01-01

    Dimensionality reduction is a topic of recent interest. In this paper, we present the classification constrained dimensionality reduction (CCDR) algorithm to account for label information. The algorithm can account for multiple classes as well as the semi-supervised setting. We present an out-of-sample expressions for both labeled and unlabeled data. For unlabeled data, we introduce a method of embedding a new point as preprocessing to a classifier. For labeled data, we introduce a method tha...

  14. Classification of nanopolymers

    Energy Technology Data Exchange (ETDEWEB)

    Larena, A; Tur, A [Department of Chemical Industrial Engineering and Environment, Universidad Politecnica de Madrid, E.T.S. Ingenieros Industriales, C/ Jose Gutierrez Abascal, Madrid (Spain); Baranauskas, V [Faculdade de Engenharia Eletrica e Computacao, Departamento de Semicondutores, Instrumentos e Fotonica, Universidade Estadual de Campinas, UNICAMP, Av. Albert Einstein N.400, 13 083-852 Campinas SP Brasil (Brazil)], E-mail: alarena@etsii.upm.es

    2008-03-15

    Nanopolymers with different structures, shapes, and functional forms have recently been prepared using several techniques. Nanopolymers are the most promising basic building blocks for mounting complex and simple hierarchical nanosystems. The applications of nanopolymers are extremely broad and polymer-based nanotechnologies are fast emerging. We propose a nanopolymer classification scheme based on self-assembled structures, non self-assembled structures, and on the number of dimensions in the nanometer range (nD)

  15. Decimal Classification Editions

    Directory of Open Access Journals (Sweden)

    Zenovia Niculescu

    2009-01-01

    Full Text Available The study approaches the evolution of Dewey Decimal Classification editions from the perspective of updating the terminology, reallocating and expanding the main and auxilary structure of Dewey indexing language. The comparative analysis of DDC editions emphasizes the efficiency of Dewey scheme from the point of view of improving the informational offer, through basic index terms, revised and developed, as well as valuing the auxilary notations.

  16. Classifications of track structures

    International Nuclear Information System (INIS)

    Paretzke, H.G.

    1984-01-01

    When ionizing particles interact with matter they produce random topological structures of primary activations which represent the initial boundary conditions for all subsequent physical, chemical and/or biological reactions. There are two important aspects of research on such track structures, namely their experimental or theoretical determination on one hand and the quantitative classification of these complex structures which is a basic pre-requisite for the understanding of mechanisms of radiation actions. This paper deals only with the latter topic, i.e. the problems encountered in and possible approaches to quantitative ordering and grouping of these multidimensional objects by their degrees of similarity with respect to their efficiency in producing certain final radiation effects, i.e. to their ''radiation quality.'' Various attempts of taxonometric classification with respect to radiation efficiency have been made in basic and applied radiation research including macro- and microdosimetric concepts as well as track entities and stopping power based theories. In this paper no review of those well-known approaches is given but rather an outline and discussion of alternative methods new to this field of radiation research which have some very promising features and which could possibly solve at least some major classification problems

  17. [Myelodysplastic syndrome classification].

    Science.gov (United States)

    Ghariani, Ines; Braham, Najia; Hassine, Mohsen; Kortas, Mondher

    2013-01-01

    Myelodysplastic syndromes (MDS) are myeloid disorders with various clinical and biological presentations. The French-American-British (FAB-1982) classification included five categories basing on morphology and bone marrow blast count. Three criteria are taken into account: 1) the percentage of blasts in peripheral blood and bone marrow, 2) the percentage of ringed sideroblasts, and 3) the number of monocytes in peripheral blood. The World Health Organization classification (WHO 2001, 2008) modifies the FAB system by also taking cytogenetic characteristics and molecular biology into consideration. The last classification (WHO-2008) takes into account: 1) the number of peripheral cytopenia, 2) the percentage of blasts in peripheral blood and bone marrow, 3) the percentage of ringed sideroblasts, 4) the possible presence of Auer Rods, and 5) the detection of a cytogenetic abnormality (the isolated 5q deletion). The following subgroups are defined: refractory cytopenia with unilineage dysplasia, refractory anemia with ringed sideroblasts, refractory cytopenia with multilineage dysplasia, refractory anemia with excess blasts, myelodysplastic syndrome unclassifiable and myelodysplastic syndrome with isolated del(5q).

  18. Aided diagnosis methods of breast cancer based on machine learning

    Science.gov (United States)

    Zhao, Yue; Wang, Nian; Cui, Xiaoyu

    2017-08-01

    In the field of medicine, quickly and accurately determining whether the patient is malignant or benign is the key to treatment. In this paper, K-Nearest Neighbor, Linear Discriminant Analysis, Logistic Regression were applied to predict the classification of thyroid,Her-2,PR,ER,Ki67,metastasis and lymph nodes in breast cancer, in order to recognize the benign and malignant breast tumors and achieve the purpose of aided diagnosis of breast cancer. The results showed that the highest classification accuracy of LDA was 88.56%, while the classification effect of KNN and Logistic Regression were better than that of LDA, the best accuracy reached 96.30%.

  19. An Efficient Ensemble Learning Method for Gene Microarray Classification

    Directory of Open Access Journals (Sweden)

    Alireza Osareh

    2013-01-01

    Full Text Available The gene microarray analysis and classification have demonstrated an effective way for the effective diagnosis of diseases and cancers. However, it has been also revealed that the basic classification techniques have intrinsic drawbacks in achieving accurate gene classification and cancer diagnosis. On the other hand, classifier ensembles have received increasing attention in various applications. Here, we address the gene classification issue using RotBoost ensemble methodology. This method is a combination of Rotation Forest and AdaBoost techniques which in turn preserve both desirable features of an ensemble architecture, that is, accuracy and diversity. To select a concise subset of informative genes, 5 different feature selection algorithms are considered. To assess the efficiency of the RotBoost, other nonensemble/ensemble techniques including Decision Trees, Support Vector Machines, Rotation Forest, AdaBoost, and Bagging are also deployed. Experimental results have revealed that the combination of the fast correlation-based feature selection method with ICA-based RotBoost ensemble is highly effective for gene classification. In fact, the proposed method can create ensemble classifiers which outperform not only the classifiers produced by the conventional machine learning but also the classifiers generated by two widely used conventional ensemble learning methods, that is, Bagging and AdaBoost.

  20. Novelty detection for breast cancer image classification

    Science.gov (United States)

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

    2016-09-01

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

  1. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2016-01-01

    be very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. Based on such successes one may ask: Should the claim that classifications ideally are natural......A distinction can be made between “artificial classifications” and “natural classifications,” where artificial classifications may adequately serve some limited purposes, but natural classifications are overall most fruitful by allowing inference and thus many different purposes. There is strong...

  2. Analysis of framelets for breast cancer diagnosis.

    Science.gov (United States)

    Thivya, K S; Sakthivel, P; Venkata Sai, P M

    2016-01-01

    Breast cancer is the second threatening tumor among the women. The effective way of reducing breast cancer is its early detection which helps to improve the diagnosing process. Digital mammography plays a significant role in mammogram screening at earlier stage of breast carcinoma. Even though, it is very difficult to find accurate abnormality in prevalent screening by radiologists. But the possibility of precise breast cancer screening is encouraged by predicting the accurate type of abnormality through Computer Aided Diagnosis (CAD) systems. The two most important indicators of breast malignancy are microcalcifications and masses. In this study, framelet transform, a multiresolutional analysis is investigated for the classification of the above mentioned two indicators. The statistical and co-occurrence features are extracted from the framelet decomposed mammograms with different resolution levels and support vector machine is employed for classification with k-fold cross validation. This system achieves 94.82% and 100% accuracy in normal/abnormal classification (stage I) and benign/malignant classification (stage II) of mass classification system and 98.57% and 100% for microcalcification system when using the MIAS database.

  3. Basilar impression, Chiari malformation and syringomyelia: a retrospective study of 53 surgically treated patients Impressão basilar, malformação de Chiari e siringomielia: estudo retrospecivo de 53 casos operados

    Directory of Open Access Journals (Sweden)

    José Alberto Gonçalves da Silva

    2003-06-01

    Full Text Available The present study shows the results of 53 patients who have been treated surgically for basilar impression (BI, Chiari malformation (CM, and syringomyelia (SM. The patients were divided into two groups. Group I (24 patients underwent osteodural decompression with large inferior occipital craniectomy, laminectomy from C 1 to C 3, dural opening in Y format, dissection of arachnoid adhesion between the cerebellar tonsils, medulla oblongata and spinal cord, large opening of the fourth ventricle and dural grafting with the use of bovine pericardium. Group II patients (29 patients underwent osteodural-neural decompression with the same procedures described above plus dissection of the arachnoid adherences of the vessels of the region of the cerebellar tonsils, and tonsillectomy (amputation in 10 cases, and as for the remainning 19 cases, intrapial aspiration of the cerebellar tonsils was performed. The residual pial sac was sutured to the dura in craniolateral position. After completion of the suture of the dural grafting, a thread was run through the graft at the level of the created cisterna magna and fixed to the cervical aponeurosis so as to move the dural graft on a posterior- caudal direction, avoiding, in this way, its adherence to the cerebellum.São analisados os resultados obtidos com o tratamento cirúrgico de 53 casos de impressão basilar (IB, malformação de Chiari (MC e siringomielia (SM. Os pacientes foram divididos em dois grupos: no grupo I (24 casos foi realizada a descompressão osteodural, caracterizada por craniectomia ampla occipital inferior, laminectomia variável de C 1 a C 3, abertura da dura-máter em forma de Y, dissecção das aderências aracnóideas das tonsilas cerebelares com o bulbo e medula cervical, abertura ampla do quarto ventrículo e enxerto dural; no grupo II (29 casos foi utilizada a descompressão osteodural-neural, caracterizada pelos mesmos detalhes técnicos empregados no grupo I, acrescidos da

  4. Automatic grade classification of Barretts Esophagus through feature enhancement

    Science.gov (United States)

    Ghatwary, Noha; Ahmed, Amr; Ye, Xujiong; Jalab, Hamid

    2017-03-01

    Barretts Esophagus (BE) is a precancerous condition that affects the esophagus tube and has the risk of developing esophageal adenocarcinoma. BE is the process of developing metaplastic intestinal epithelium and replacing the normal cells in the esophageal area. The detection of BE is considered difficult due to its appearance and properties. The diagnosis is usually done through both endoscopy and biopsy. Recently, Computer Aided Diagnosis systems have been developed to support physicians opinion when facing difficulty in detection/classification in different types of diseases. In this paper, an automatic classification of Barretts Esophagus condition is introduced. The presented method enhances the internal features of a Confocal Laser Endomicroscopy (CLE) image by utilizing a proposed enhancement filter. This filter depends on fractional differentiation and integration that improve the features in the discrete wavelet transform of an image. Later on, various features are extracted from each enhanced image on different levels for the multi-classification process. Our approach is validated on a dataset that consists of a group of 32 patients with 262 images with different histology grades. The experimental results demonstrated the efficiency of the proposed technique. Our method helps clinicians for more accurate classification. This potentially helps to reduce the need for biopsies needed for diagnosis, facilitate the regular monitoring of treatment/development of the patients case and can help train doctors with the new endoscopy technology. The accurate automatic classification is particularly important for the Intestinal Metaplasia (IM) type, which could turn into deadly cancerous. Hence, this work contributes to automatic classification that facilitates early intervention/treatment and decreasing biopsy samples needed.

  5. Maximum mutual information regularized classification

    KAUST Repository

    Wang, Jim Jing-Yan

    2014-09-07

    In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and the true class label. We argue that, with the learned classifier, the uncertainty of the true class label of a data sample should be reduced by knowing its classification response as much as possible. The reduced uncertainty is measured by the mutual information between the classification response and the true class label. To this end, when learning a linear classifier, we propose to maximize the mutual information between classification responses and true class labels of training samples, besides minimizing the classification error and reducing the classifier complexity. An objective function is constructed by modeling mutual information with entropy estimation, and it is optimized by a gradient descend method in an iterative algorithm. Experiments on two real world pattern classification problems show the significant improvements achieved by maximum mutual information regularization.

  6. [The importance of classifications in psychiatry].

    Science.gov (United States)

    Lempérière, T

    1995-12-01

    The classifications currently used in psychiatry have different aims: to facilitate communication between researchers and clinicians at national and international levels through the use of a common language, or at least a clearly and precisely defined nomenclature; to provide a nosographical reference system which can be used in practice (diagnosis, prognosis, treatment); to optimize research by ensuring that sample cases are as homogeneous as possible; to facilitate statistical records for public health institutions. A classification is of practical interest only if it is reliable, valid and acceptable to all potential users. In recent decades, there has been a considerable systematic and coordinated effort to improve the methodological approach to classification and categorization in the field of psychiatry, including attempts to create operational definitions, field trials of inter-assessor reliability, attempts to validate the selected nosological categories by analysis of correlation between progression, treatment response, family history and additional examinations. The introduction of glossaries, and particularly of diagnostic criteria, marked a decisive step in this new approach. The key problem remains that of the validity of diagnostic criteria. Ideally, these should be based on demonstrable etiologic or pathogenic data, but such information is rarely available in psychiatry. Current classifications rely on the use of extremely diverse elements in differing degrees: descriptive criteria, evolutive criteria, etiopathogenic criteria, psychopathogenic criteria, etc. Certain syndrome-based classifications such as DSM III and its successors aim to be atheoretical and pragmatic. Others, such as ICD-10, while more eclectic than the different versions of DSM, follow suit by abandoning the terms "disease" and "illness" in favor of the more consensual "disorder". The legitimacy of classifications in the field of psychiatry has been fiercely contested, being

  7. 14 CFR 1203.412 - Classification guides.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 5 2010-01-01 2010-01-01 false Classification guides. 1203.412 Section... PROGRAM Guides for Original Classification § 1203.412 Classification guides. (a) General. A classification guide, based upon classification determinations made by appropriate program and classification...

  8. Fault diagnosis methods for district heating substations

    Energy Technology Data Exchange (ETDEWEB)

    Pakanen, J.; Hyvaerinen, J.; Kuismin, J.; Ahonen, M. [VTT Building Technology, Espoo (Finland). Building Physics, Building Services and Fire Technology

    1996-12-31

    A district heating substation is a demanding process for fault diagnosis. The process is nonlinear, load conditions of the district heating network change unpredictably and standard instrumentation is designed only for control and local monitoring purposes, not for automated diagnosis. Extra instrumentation means additional cost, which is usually not acceptable to consumers. That is why all conventional methods are not applicable in this environment. The paper presents five different approaches to fault diagnosis. While developing the methods, various kinds of pragmatic aspects and robustness had to be considered in order to achieve practical solutions. The presented methods are: classification of faults using performance indexing, static and physical modelling of process equipment, energy balance of the process, interactive fault tree reasoning and statistical tests. The methods are applied to a control valve, a heat excharger, a mud separating device and the whole process. The developed methods are verified in practice using simulation, simulation or field tests. (orig.) (25 refs.)

  9. SPORT FOOD ADDITIVE CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    I. P. Prokopenko

    2015-01-01

    Full Text Available Correctly organized nutritive and pharmacological support is an important component of an athlete's preparation for competitions, an optimal shape maintenance, fast recovery and rehabilitation after traumas and defatigation. Special products of enhanced biological value (BAS for athletes nutrition are used with this purpose. Easy-to-use energy sources are administered into athlete's organism, yielded materials and biologically active substances which regulate and activate exchange reactions which proceed with difficulties during certain physical trainings. The article presents sport supplements classification which can be used before warm-up and trainings, after trainings and in competitions breaks.

  10. Dynamic Latent Classification Model

    DEFF Research Database (Denmark)

    Zhong, Shengtong; Martínez, Ana M.; Nielsen, Thomas Dyhre

    Monitoring a complex process often involves keeping an eye on hundreds or thousands of sensors to determine whether or not the process is under control. We have been working with dynamic data from an oil production facility in the North sea, where unstable situations should be identified as soon...... as possible. Motivated by this problem setting, we propose a generative model for dynamic classification in continuous domains. At each time point the model can be seen as combining a naive Bayes model with a mixture of factor analyzers (FA). The latent variables of the FA are used to capture the dynamics...... in the process as well as modeling dependences between attributes....

  11. Constructing criticality by classification

    DEFF Research Database (Denmark)

    Machacek, Erika

    2017-01-01

    " in the bureaucratic practice of classification: Experts construct material criticality in assessments as they allot information on the materials to the parameters of the assessment framework. In so doing, they ascribe a new set of connotations to the materials, namely supply risk, and their importance to clean energy......This paper explores the role of expertise, the nature of criticality, and their relationship to securitisation as mineral raw materials are classified. It works with the construction of risk along the liberal logic of security to explore how "key materials" are turned into "critical materials...

  12. Otitis Media Diagnosis for Developing Countries Using Tympanic Membrane Image-Analysis

    Directory of Open Access Journals (Sweden)

    Hermanus C. Myburgh

    2016-03-01

    Interpretation: The high accuracy of the proposed otitis media classification system compares well with the classification accuracy of general practitioners and pediatricians (~64% to 80% using traditional otoscopes, and therefore holds promise for the future in making automated diagnosis of otitis media in medically underserved populations.

  13. Intelligent System for Diagnosis of a Three-Phase Separator

    Directory of Open Access Journals (Sweden)

    Irina Ioniţă

    2016-03-01

    Full Text Available Intelligent systems for diagnosis have been used in a variety of domains: financial evaluation, credit scoring problem, identification of software and hardware problems of mechanical and electronic equipment, medical diagnosis, fault detection in gas-oil production plants etc. The goal of diagnosis systems is to classify the observed symptoms as being caused by some diagnosis class while advising systems perform such a classification and offer corrective remedies (recommendations. The current paper discuss the opportunity to combine more intelligent techniques and methodologies (intelligent agents, data mining and expert systems to increase the accuracy of results obtained from the diagnosis of a three-phase separator. The results indicate that the diagnosis hybrid system benefits from the advantages of each module component: intelligent agent module, data mining module and expert system module.

  14. Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective

    Science.gov (United States)

    Zhao, Changbo; Li, Guo-Zheng; Wang, Chengjun; Niu, Jinling

    2015-01-01

    As a complementary and alternative medicine in medical field, traditional Chinese medicine (TCM) has drawn great attention in the domestic field and overseas. In practice, TCM provides a quite distinct methodology to patient diagnosis and treatment compared to western medicine (WM). Syndrome (ZHENG or pattern) is differentiated by a set of symptoms and signs examined from an individual by four main diagnostic methods: inspection, auscultation and olfaction, interrogation, and palpation which reflects the pathological and physiological changes of disease occurrence and development. Patient classification is to divide patients into several classes based on different criteria. In this paper, from the machine learning perspective, a survey on patient classification issue will be summarized on three major aspects of TCM: sign classification, syndrome differentiation, and disease classification. With the consideration of different diagnostic data analyzed by different computational methods, we present the overview for four subfields of TCM diagnosis, respectively. For each subfield, we design a rectangular reference list with applications in the horizontal direction and machine learning algorithms in the longitudinal direction. According to the current development of objective TCM diagnosis for patient classification, a discussion of the research issues around machine learning techniques with applications to TCM diagnosis is given to facilitate the further research for TCM patient classification. PMID:26246834

  15. Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective.

    Science.gov (United States)

    Zhao, Changbo; Li, Guo-Zheng; Wang, Chengjun; Niu, Jinling

    2015-01-01

    As a complementary and alternative medicine in medical field, traditional Chinese medicine (TCM) has drawn great attention in the domestic field and overseas. In practice, TCM provides a quite distinct methodology to patient diagnosis and treatment compared to western medicine (WM). Syndrome (ZHENG or pattern) is differentiated by a set of symptoms and signs examined from an individual by four main diagnostic methods: inspection, auscultation and olfaction, interrogation, and palpation which reflects the pathological and physiological changes of disease occurrence and development. Patient classification is to divide patients into several classes based on different criteria. In this paper, from the machine learning perspective, a survey on patient classification issue will be summarized on three major aspects of TCM: sign classification, syndrome differentiation, and disease classification. With the consideration of different diagnostic data analyzed by different computational methods, we present the overview for four subfields of TCM diagnosis, respectively. For each subfield, we design a rectangular reference list with applications in the horizontal direction and machine learning algorithms in the longitudinal direction. According to the current development of objective TCM diagnosis for patient classification, a discussion of the research issues around machine learning techniques with applications to TCM diagnosis is given to facilitate the further research for TCM patient classification.

  16. Pattern classification for incomplete data

    OpenAIRE

    Gabrys, Bogdan

    2000-01-01

    The problem of pattern classification for inputs with missing values is considered. A general fuzzy min-max (GFMM) neural network utilising hyperbox fuzzy sets as a representation of data cluster prototypes is used. It is shown how a classification decisions can be carried out on a subspace of high dimensional input data. No substitution scheme for missing values is utilised. The result is a classification procedure that reduces a number of viable class alternatives on the basis of available ...

  17. Unsupervised Classification Using Immune Algorithm

    OpenAIRE

    Al-Muallim, M. T.; El-Kouatly, R.

    2012-01-01

    Unsupervised classification algorithm based on clonal selection principle named Unsupervised Clonal Selection Classification (UCSC) is proposed in this paper. The new proposed algorithm is data driven and self-adaptive, it adjusts its parameters to the data to make the classification operation as fast as possible. The performance of UCSC is evaluated by comparing it with the well known K-means algorithm using several artificial and real-life data sets. The experiments show that the proposed U...

  18. Reliability of Oronasal Fistula Classification.

    Science.gov (United States)

    Sitzman, Thomas J; Allori, Alexander C; Matic, Damir B; Beals, Stephen P; Fisher, David M; Samson, Thomas D; Marcus, Jeffrey R; Tse, Raymond W

    2018-01-01

    Objective Oronasal fistula is an important complication of cleft palate repair that is frequently used to evaluate surgical quality, yet reliability of fistula classification has never been examined. The objective of this study was to determine the reliability of oronasal fistula classification both within individual surgeons and between multiple surgeons. Design Using intraoral photographs of children with repaired cleft palate, surgeons rated the location of palatal fistulae using the Pittsburgh Fistula Classification System. Intrarater and interrater reliability scores were calculated for each region of the palate. Participants Eight cleft surgeons rated photographs obtained from 29 children. Results Within individual surgeons reliability for each region of the Pittsburgh classification ranged from moderate to almost perfect (κ = .60-.96). By contrast, reliability between surgeons was lower, ranging from fair to substantial (κ = .23-.70). Between-surgeon reliability was lowest for the junction of the soft and hard palates (κ = .23). Within-surgeon and between-surgeon reliability were almost perfect for the more general classification of fistula in the secondary palate (κ = .95 and κ = .83, respectively). Conclusions This is the first reliability study of fistula classification. We show that the Pittsburgh Fistula Classification System is reliable when used by an individual surgeon, but less reliable when used among multiple surgeons. Comparisons of fistula occurrence among surgeons may be subject to less bias if they use the more general classification of "presence or absence of fistula of the secondary palate" rather than the Pittsburgh Fistula Classification System.

  19. Dual Diagnosis - Multiple Languages

    Science.gov (United States)

    ... Are Here: Home → Multiple Languages → All Health Topics → Dual Diagnosis URL of this page: https://medlineplus.gov/ ... V W XYZ List of All Topics All Dual Diagnosis - Multiple Languages To use the sharing features ...

  20. About Vulvodynia: Diagnosis

    Science.gov (United States)

    ... and Vaginal Pain in the Media Need an Interview? Make a Difference Volunteer with NVA Educate Others Donate Navigation What is Vulvodynia? Vulvar Anatomy What Causes Vulvodynia? Diagnosis Vulvodynia Treatments Home Diagnosis After taking a thorough ...

  1. Molecular Classification of Lobular Carcinoma of the Breast

    Science.gov (United States)

    Fu, Denggang; Zuo, Qi; Huang, Qi; Su, Li; Ring, Huijun Z.; Ring, Brian Z.

    2017-01-01

    The morphology of breast tumors is complicated and diagnosis can be difficult. We present here a novel diagnostic model which we validate on both array-based and RNA sequencing platforms which reliably distinguishes this tumor type across multiple cohorts. We also examine how this molecular classification predicts sensitivity to common chemotherapeutics in cell-line based assays. A total of 1845 invasive breast cancer cases in six cohorts were collected, split into discovery and validation cohorts, and a classifier was created and compared to pathological diagnosis, grade and survival. In the validation cohorts the concordance of predicted diagnosis with a pathological diagnosis was 92%, and 97% when inconclusively classified cases were excluded. Tumor-derived cell lines were classified with the model as having predominantly ductal or lobular-like molecular physiologies, and sensitivity of these lines to relevant compounds was analyzed. A diagnostic tool can be created that reliably distinguishes lobular from ductal carcinoma and allows the classification of cell lines on the basis of molecular profiles associated with these tumor types. This tool may assist in improved diagnosis and aid in explorations of the response of lobular type breast tumor models to different compounds. PMID:28303886

  2. DNA methylation-based classification of central nervous system tumours

    DEFF Research Database (Denmark)

    Capper, David; Jones, David T.W.; Sill, Martin

    2018-01-01

    Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging - with substantial inter......-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show...

  3. Neuropathological diagnosis of brain tumours.

    Science.gov (United States)

    Pollo, Bianca

    2011-11-01

    With recent progress in radiological, pathological, immunohistochemical, molecular and genetic diagnoses, the characterisation of brain tumours has improved. The last World Health Organization (WHO) Classification of Tumours of the Central Nervous System was done in 2007, based on morphological features, growth pattern and molecular profile of neoplastic cells, defined malignancy grade. The neuropathological diagnosis and the grading of each histotype are based on identification of histopathological criteria and immunohistochemical data. Molecular and genetic profiles may identify different tumour subtypes varying in biological and clinical behaviour, indicating prognostic and predictive factors. In order to investigate new therapeutic approaches, it is important to study the molecular pathways responsible for proliferation, invasion, angiogenesis, and anaplastic transformation. Different prognostic and predictive factors for glioma patients were identified by genetic studies, such as the loss of heterozygosis on chromosome 1p and 19q for oligodendrogliomas, proangiogenic factors such as Vascular Endothelial Growth Factor for glioblastomas and the methylation status of gene promoter of MethylGuanine-MethylTransferase. In conclusion, the prognostic evaluation and the therapeutic strategies for patients depend on the synthesis of histological diagnosis, malignancy grade, gene-molecular profile, radiological images, surgical resection and clinical findings (age, tumour location, and "performance status").

  4. A microarray gene expressions with classification using extreme learning machine

    Directory of Open Access Journals (Sweden)

    Yasodha M.

    2015-01-01

    Full Text Available In the present scenario, one of the dangerous disease is cancer. It spreads through blood or lymph to other location of the body, it is a set of cells display uncontrolled growth, attack and destroy nearby tissues, and occasionally metastasis. In cancer diagnosis and molecular biology, a utilized effective tool is DNA microarrays. The dominance of this technique is recognized, so several open doubt arise regarding proper examination of microarray data. In the field of medical sciences, multicategory cancer classification plays very important role. The need for cancer classification has become essential because the number of cancer sufferers is increasing. In this research work, to overcome problems of multicategory cancer classification an improved Extreme Learning Machine (ELM classifier is used. It rectify problems faced by iterative learning methods such as local minima, improper learning rate and over fitting and the training completes with high speed.

  5. [Diagnostics, classification and prognostic criteria of acute myeloid leukemia].

    Science.gov (United States)

    Heilmeier, Bernhard; Buske, Christian; Spiekermann, Karsten; Bohlander, Stefan; Feuring-Buske, Michaela; Hiddemann, Wolfgang; Braess, Jan

    2007-04-15

    The continuously growing knowledge about criteria important for biology, pathogenesis, prognosis and treatment of acute myeloid leukemia (AML) necessitates a broad spectrum of diagnostic methods for first diagnosis and for the further course of the disease. Relevant diagnostic techniques (cytomorphology with cytochemistry, immunophenotyping, cytogenetics and molecular genetics, DNA array) are described - with a focus on their mode of operation as well on their clinical significance. Due to the high clinical relevance and growing complexity, AML diagnostics should be performed in specialized laboratories. Compared to the FAB classification which is based primarily on morphological criteria, the classification recommended in 2001 by the WHO additionally takes cytogenetics, molecular genetics and further clinical factors into consideration. Both classifications are described. A wide range of prognostic criteria of AML is discussed on the basis of currently available clinical data. The most important criteria are the karyotype of the leukemic clone and the patient's age.

  6. Classification of Pulse Waveforms Using Edit Distance with Real Penalty

    Directory of Open Access Journals (Sweden)

    Zhang Dongyu

    2010-01-01

    Full Text Available Abstract Advances in sensor and signal processing techniques have provided effective tools for quantitative research in traditional Chinese pulse diagnosis (TCPD. Because of the inevitable intraclass variation of pulse patterns, the automatic classification of pulse waveforms has remained a difficult problem. In this paper, by referring to the edit distance with real penalty (ERP and the recent progress in -nearest neighbors (KNN classifiers, we propose two novel ERP-based KNN classifiers. Taking advantage of the metric property of ERP, we first develop an ERP-induced inner product and a Gaussian ERP kernel, then embed them into difference-weighted KNN classifiers, and finally develop two novel classifiers for pulse waveform classification. The experimental results show that the proposed classifiers are effective for accurate classification of pulse waveform.

  7. Using Schemata for Diagnosis*

    OpenAIRE

    Turner, Roy M.

    1988-01-01

    Medical diagnosis is a planning task in which the operators are actions such as asking for information and drawing an inference. Diagnosis involves interleaving planning and plan execution, since information gathered by the diagnostician may change the future course of diagnosis. In this paper we present an approach to computer-based medical diagnosis called schema-based reasoning. This approach represents the reasoner's planning knowledge as packets of procedural information called schemata;...

  8. ICHD-II Criteria in Diagnosis of Pediatric Migraine

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2005-12-01

    Full Text Available The sensitivity of the new International Classification of Headache Disorders-2nd edition (ICHD-II criteria in the diagnosis of childhood migraine was evaluated in 260 patients, ages 18 and under, seen at 2 large pediatric headache centers, and reported from Children’s Hospital Medical Center, Cincinnati, OH; The Cleveland Clinic, OH; and other centers.

  9. Fuzzy cluster means algorithm for the diagnosis of confusable disease

    African Journals Online (AJOL)

    ... end platform while Microsoft Access was used as the database application. The system gives a measure of each disease within a set of confusable disease. The proposed system had a classification accuracy of 60%. Keywords: Artificial Intelligence, expert system Fuzzy cluster – means Algorithm, physician, Diagnosis ...

  10. diagnosis and treatment of heart failure in the community

    African Journals Online (AJOL)

    Enrique

    saying 'Many roads lead to a broken heart' (Fig. 1). CLASSIFICATION. The current staging of heart failure takes ... is coronary artery disease in black. Africans. DIAGNOSIS AND TREATMENT OF. HEART ... Systemic hypertension, coronary artery disease, diabetes because of the presence of conditions mellitus, history of ...

  11. Pathohistological classification systems in gastric cancer: diagnostic relevance and prognostic value.

    Science.gov (United States)

    Berlth, Felix; Bollschweiler, Elfriede; Drebber, Uta; Hoelscher, Arnulf H; Moenig, Stefan

    2014-05-21

    Several pathohistological classification systems exist for the diagnosis of gastric cancer. Many studies have investigated the correlation between the pathohistological characteristics in gastric cancer and patient characteristics, disease specific criteria and overall outcome. It is still controversial as to which classification system imparts the most reliable information, and therefore, the choice of system may vary in clinical routine. In addition to the most common classification systems, such as the Laurén and the World Health Organization (WHO) classifications, other authors have tried to characterize and classify gastric cancer based on the microscopic morphology and in reference to the clinical outcome of the patients. In more than 50 years of systematic classification of the pathohistological characteristics of gastric cancer, there is no sole classification system that is consistently used worldwide in diagnostics and research. However, several national guidelines for the treatment of gastric cancer refer to the Laurén or the WHO classifications regarding therapeutic decision-making, which underlines the importance of a reliable classification system for gastric cancer. The latest results from gastric cancer studies indicate that it might be useful to integrate DNA- and RNA-based features of gastric cancer into the classification systems to establish prognostic relevance. This article reviews the diagnostic relevance and the prognostic value of different pathohistological classification systems in gastric cancer.

  12. Tuberculosis disease diagnosis using artificial immune recognition system.

    Science.gov (United States)

    Shamshirband, Shahaboddin; Hessam, Somayeh; Javidnia, Hossein; Amiribesheli, Mohsen; Vahdat, Shaghayegh; Petković, Dalibor; Gani, Abdullah; Kiah, Miss Laiha Mat

    2014-01-01

    There is a high risk of tuberculosis (TB) disease diagnosis among conventional methods. This study is aimed at diagnosing TB using hybrid machine learning approaches. Patient epicrisis reports obtained from the Pasteur Laboratory in the north of Iran were used. All 175 samples have twenty features. The features are classified based on incorporating a fuzzy logic controller and artificial immune recognition system. The features are normalized through a fuzzy rule based on a labeling system. The labeled features are categorized into normal and tuberculosis classes using the Artificial Immune Recognition Algorithm. Overall, the highest classification accuracy reached was for the 0.8 learning rate (α) values. The artificial immune recognition system (AIRS) classification approaches using fuzzy logic also yielded better diagnosis results in terms of detection accuracy compared to other empirical methods. Classification accuracy was 99.14%, sensitivity 87.00%, and specificity 86.12%.

  13. Nursing diagnosis "impaired walking" in elderly patients: integrative literature review

    Directory of Open Access Journals (Sweden)

    Cristina Maria Alves Marques-Vieira

    Full Text Available The impaired walking nursing diagnosis has been included in NANDA International classification taxonomy in 1998, and this review aims to identify the defining characteristics and related factors in elderly patients in recent literature. Integrative literature review based on the following guiding question: Are there more defining characteristics and factors related to the nursing diagnosis impaired walking than those included in NANDA International classification taxonomy in elderly patients? Search conducted in 2007-2013 on international and Portuguese databases. Sample composed of 15 papers. Among the 6 defining characteristics classified at NANDA International, 3 were identified in the search results, but 13 were not included in the classification. Regarding the 14 related factors that are classified, 9 were identified in the sample and 12 were not included in the NANDA International taxonomy. This review allowed the identification of new elements not included in NANDA International Taxonomy and may contribute to the development of taxonomy and nursing knowledge.

  14. Improved Correlation of the Neuropathologic Classification According to Adapted World Health Organization Classification and Outcome After Radiotherapy in Patients With Atypical and Anaplastic Meningiomas

    International Nuclear Information System (INIS)

    Combs, Stephanie E.; Schulz-Ertner, Daniela; Debus, Jürgen; Deimling, Andreas von; Hartmann, Christian

    2011-01-01

    Purpose: To evaluate the correlation between the 1993 and 2000/2007 World Health Organization (WHO) classification with the outcome in patients with high-grade meningiomas. Patients and Methods: Between 1985 and 2004, 73 patients diagnosed with atypical or anaplastic meningiomas were treated with radiotherapy. Sections from the paraffin-embedded tumor material from 66 patients (90%) from 13 different pathology departments were re-evaluated according to the first revised WHO classification from 1993 and the revised classifications from 2000/2007. In 4 cases, the initial diagnosis meningioma was not reproducible (5%). Therefore, 62 patients with meningiomas were analyzed. Results: All 62 tumors were reclassified according to the 1993 and 2000/2007 WHO classification systems. Using the 1993 system, 7 patients were diagnosed with WHO grade I meningioma (11%), 23 with WHO grade II (37%), and 32 with WHO grade III meningioma (52%). After scoring using the 2000/2007 system, we found 17 WHO grade I meningiomas (27%), 32 WHO grade II meningiomas (52%), and 13 WHO grade III meningiomas (21%). According to the 1993 classification, the difference in overall survival was not statistically significant among the histologic subgroups (p = .96). Using the 2000/2007 WHO classifications, the difference in overall survival became significant (p = .02). Of the 62 reclassified patients 29 developed tumor progression (47%). No difference in progression-free survival was observed among the histologic subgroups (p = .44). After grading according to the 2000/2007 WHO classifications, significant differences in progression-free survival were observed among the three histologic groups (p = .005). Conclusion: The new 2000/2007 WHO classification for meningiomas showed an improved correlation between the histologic grade and outcome. This classification therefore provides a useful basis to determine the postoperative indication for radiotherapy. According to our results, a comparison of the

  15. Improved Correlation of the Neuropathologic Classification According to Adapted World Health Organization Classification and Outcome After Radiotherapy in Patients With Atypical and Anaplastic Meningiomas

    Energy Technology Data Exchange (ETDEWEB)

    Combs, Stephanie E., E-mail: Stephanie.Combs@med.uni-heidelberg.de [Department of Radiation Oncology, University Hospital of Heidelberg, Heidelberg (Germany); Schulz-Ertner, Daniela [Radiologisches Institut, Markuskrankenhaus Frankfurt, Frankfurt am Main (Germany); Debus, Juergen [Department of Radiation Oncology, University Hospital of Heidelberg, Heidelberg (Germany); Deimling, Andreas von; Hartmann, Christian [Department of Neuropathology, Institute for Pathology, University Hospital of Heidelberg, Heidelberg (Germany); Clinical Cooperation Unit Neuropathology, German Cancer Research Center, Heidelberg (Germany)

    2011-12-01

    Purpose: To evaluate the correlation between the 1993 and 2000/2007 World Health Organization (WHO) classification with the outcome in patients with high-grade meningiomas. Patients and Methods: Between 1985 and 2004, 73 patients diagnosed with atypical or anaplastic meningiomas were treated with radiotherapy. Sections from the paraffin-embedded tumor material from 66 patients (90%) from 13 different pathology departments were re-evaluated according to the first revised WHO classification from 1993 and the revised classifications from 2000/2007. In 4 cases, the initial diagnosis meningioma was not reproducible (5%). Therefore, 62 patients with meningiomas were analyzed. Results: All 62 tumors were reclassified according to the 1993 and 2000/2007 WHO classification systems. Using the 1993 system, 7 patients were diagnosed with WHO grade I meningioma (11%), 23 with WHO grade II (37%), and 32 with WHO grade III meningioma (52%). After scoring using the 2000/2007 system, we found 17 WHO grade I meningiomas (27%), 32 WHO grade II meningiomas (52%), and 13 WHO grade III meningiomas (21%). According to the 1993 classification, the difference in overall survival was not statistically significant among the histologic subgroups (p = .96). Using the 2000/2007 WHO classifications, the difference in overall survival became significant (p = .02). Of the 62 reclassified patients 29 developed tumor progression (47%). No difference in progression-free survival was observed among the histologic subgroups (p = .44). After grading according to the 2000/2007 WHO classifications, significant differences in progression-free survival were observed among the three histologic groups (p = .005). Conclusion: The new 2000/2007 WHO classification for meningiomas showed an improved correlation between the histologic grade and outcome. This classification therefore provides a useful basis to determine the postoperative indication for radiotherapy. According to our results, a comparison of the

  16. Classification of radioactive waste

    International Nuclear Information System (INIS)

    1994-01-01

    Radioactive wastes are generated in a number of different kinds of facilities and arise in a wide range of concentrations of radioactive materials and in a variety of physical and chemical forms. To simplify their management, a number of schemes have evolved for classifying radioactive waste according to the physical, chemical and radiological properties of significance to those facilities managing this waste. These schemes have led to a variety of terminologies, differing from country to country and even between facilities in the same country. This situation makes it difficult for those concerned to communicate with one another regarding waste management practices. This document revises and updates earlier IAEA references on radioactive waste classification systems given in IAEA Technical Reports Series and Safety Series. Guidance regarding exemption of materials from regulatory control is consistent with IAEA Safety Series and the RADWASS documents published under IAEA Safety Series. 11 refs, 2 figs, 2 tab

  17. Nonlinear estimation and classification

    CERN Document Server

    Hansen, Mark; Holmes, Christopher; Mallick, Bani; Yu, Bin

    2003-01-01

    Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data This is due in part to recent advances in data collection and computing technologies As a result, fundamental statistical research is being undertaken in a variety of different fields Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future

  18. 10 CFR 1045.17 - Classification levels.

    Science.gov (United States)

    2010-01-01

    ... Confidential classification are the amount of high explosives used in nuclear weapons, gaseous diffusion design... Classification, jointly with the DoD, shall assign one of the classification levels in paragraph (a) of this.... The Director of Classification shall assign one of the following classification levels to RD...

  19. 49 CFR 8.17 - Classification challenges.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 1 2010-10-01 2010-10-01 false Classification challenges. 8.17 Section 8.17.../ACCESS Classification/Declassification of Information § 8.17 Classification challenges. (a) Authorized... classification status is improper are encouraged and expected to challenge the classification status of the...

  20. 32 CFR 2001.14 - Classification challenges.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification challenges. 2001.14 Section 2001... Classification § 2001.14 Classification challenges. (a) Challenging classification. Authorized holders, including authorized holders outside the classifying agency, who want to challenge the classification status of...

  1. 40 CFR 152.164 - Classification procedures.

    Science.gov (United States)

    2010-07-01

    ... PESTICIDE REGISTRATION AND CLASSIFICATION PROCEDURES Classification of Pesticides § 152.164 Classification... Agency normally will conduct classification reviews of all uses of a currently registered pesticide at... 40 Protection of Environment 23 2010-07-01 2010-07-01 false Classification procedures. 152.164...

  2. 32 CFR 2400.15 - Classification guides.

    Science.gov (United States)

    2010-07-01

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

  3. 32 CFR 2001.15 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2001.15 Section 2001.15..., NATIONAL ARCHIVES AND RECORDS ADMINISTRATION CLASSIFIED NATIONAL SECURITY INFORMATION Classification § 2001.15 Classification guides. (a) Preparation of classification guides. Originators of classification...

  4. 37 CFR 2.85 - Classification schedules.

    Science.gov (United States)

    2010-07-01

    ... classification, where appropriate. (f) Classification schedules shall not limit or extend the applicant's rights.... (a) International classification system. Section 6.1 of this chapter sets forth the international... international classification pursuant to § 2.85(e)(3). (b) Prior United States classification system. Section 6...

  5. Possibilistic approach to target classification

    NARCIS (Netherlands)

    Huizing, A.G.; Groen, F.C.A.

    2000-01-01

    Abstract: This chapter describes an alternative to the Bayesian approach to target classification that is based on possibility theory. A possibilistic classifier minimizes the maximum cost of the classification decision taking into account the a posteriori possibilities of the target classes given

  6. Forensic Classification of Digital Information

    Directory of Open Access Journals (Sweden)

    Ivanov N. A.

    2013-05-01

    Full Text Available Several classification schemes for digital information that could be used as sources of evidence in criminal proceedings are offered. In terms of application the proposed classification is very important for the development of forensic tools, means, methods, techniques for the detection, capture, inspection, seizure, investigation of digital information, as well as for the detection and investigation of crimes

  7. Seismic texture classification. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Vinther, R.

    1997-12-31

    The seismic texture classification method, is a seismic attribute that can both recognize the general reflectivity styles and locate variations from these. The seismic texture classification performs a statistic analysis for the seismic section (or volume) aiming at describing the reflectivity. Based on a set of reference reflectivities the seismic textures are classified. The result of the seismic texture classification is a display of seismic texture categories showing both the styles of reflectivity from the reference set and interpolations and extrapolations from these. The display is interpreted as statistical variations in the seismic data. The seismic texture classification is applied to seismic sections and volumes from the Danish North Sea representing both horizontal stratifications and salt diapers. The attribute succeeded in recognizing both general structure of successions and variations from these. Also, the seismic texture classification is not only able to display variations in prospective areas (1-7 sec. TWT) but can also be applied to deep seismic sections. The seismic texture classification is tested on a deep reflection seismic section (13-18 sec. TWT) from the Baltic Sea. Applied to this section the seismic texture classification succeeded in locating the Moho, which could not be located using conventional interpretation tools. The seismic texture classification is a seismic attribute which can display general reflectivity styles and deviations from these and enhance variations not found by conventional interpretation tools. (LN)

  8. The 2015 World Health Organization Classification of Lung Tumors: Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification.

    Science.gov (United States)

    Travis, William D; Brambilla, Elisabeth; Nicholson, Andrew G; Yatabe, Yasushi; Austin, John H M; Beasley, Mary Beth; Chirieac, Lucian R; Dacic, Sanja; Duhig, Edwina; Flieder, Douglas B; Geisinger, Kim; Hirsch, Fred R; Ishikawa, Yuichi; Kerr, Keith M; Noguchi, Masayuki; Pelosi, Giuseppe; Powell, Charles A; Tsao, Ming Sound; Wistuba, Ignacio

    2015-09-01

    The 2015 World Health Organization (WHO) Classification of Tumors of the Lung, Pleura, Thymus and Heart has just been published with numerous important changes from the 2004 WHO classification. The most significant changes in this edition involve (1) use of immunohistochemistry throughout the classification, (2) a new emphasis on genetic studies, in particular, integration of molecular testing to help personalize treatment strategies for advanced lung cancer patients, (3) a new classification for small biopsies and cytology similar to that proposed in the 2011 Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification, (4) a completely different approach to lung adenocarcinoma as proposed by the 2011 Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification, (5) restricting the diagnosis of large cell carcinoma only to resected tumors that lack any clear morphologic or immunohistochemical differentiation with reclassification of the remaining former large cell carcinoma subtypes into different categories, (6) reclassifying squamous cell carcinomas into keratinizing, nonkeratinizing, and basaloid subtypes with the nonkeratinizing tumors requiring immunohistochemistry proof of squamous differentiation, (7) grouping of neuroendocrine tumors together in one category, (8) adding NUT carcinoma, (9) changing the term sclerosing hemangioma to sclerosing pneumocytoma, (10) changing the name hamartoma to "pulmonary hamartoma," (11) creating a group of PEComatous tumors that include (a) lymphangioleiomyomatosis, (b) PEComa, benign (with clear cell tumor as a variant) and (c) PEComa, malignant, (12) introducing the entity pulmonary myxoid sarcoma with an EWSR1-CREB1 translocation, (13) adding the entities myoepithelioma and myoepithelial carcinomas, which can show EWSR1 gene rearrangements, (14) recognition of usefulness of WWTR1-CAMTA1 fusions in diagnosis of epithelioid

  9. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten

    2011-01-01

    Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information...... classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting, and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...... information and their ability to navigate the websites. The results of the study indicate group differences in user classification and related task-performance differences. The main implications of the study are that (a) the edit distance appears a useful measure in cross-country HCI research and practice...

  10. Vietnamese Document Representation and Classification

    Science.gov (United States)

    Nguyen, Giang-Son; Gao, Xiaoying; Andreae, Peter

    Vietnamese is very different from English and little research has been done on Vietnamese document classification, or indeed, on any kind of Vietnamese language processing, and only a few small corpora are available for research. We created a large Vietnamese text corpus with about 18000 documents, and manually classified them based on different criteria such as topics and styles, giving several classification tasks of different difficulty levels. This paper introduces a new syllable-based document representation at the morphological level of the language for efficient classification. We tested the representation on our corpus with different classification tasks using six classification algorithms and two feature selection techniques. Our experiments show that the new representation is effective for Vietnamese categorization, and suggest that best performance can be achieved using syllable-pair document representation, an SVM with a polynomial kernel as the learning algorithm, and using Information gain and an external dictionary for feature selection.

  11. Application of the ICIDH in survey research on rehabilitation: the emergence of the functional diagnosis.

    NARCIS (Netherlands)

    Dekker, J.

    1995-01-01

    The International Classification of Impairments, Disabilities, and Handicaps (ICIDH) has been hypothesized to be an excellent conceptual framework for the functional diagnosis, i.e. the evaluation of health problems by rehabilitation specialists. The ICIDH-based functional diagnosis was assessed in

  12. The "Not Guilty Verdict": Psychological Reactions to a Diagnosis of Asperger Syndrome in Adulthood

    Science.gov (United States)

    Punshon, C.; Skirrow, P.; Murphy, G.

    2009-01-01

    Asperger syndrome is a relatively new diagnostic classification. A number of factors make receiving a diagnosis of Asperger syndrome in adulthood a unique experience. This study used a phenomenological approach to examine the experiences of 10 adults receiving such a diagnosis. Results suggested that six major themes were associated with receiving…

  13. Automatic detection and classification of leukocytes using convolutional neural networks.

    Science.gov (United States)

    Zhao, Jianwei; Zhang, Minshu; Zhou, Zhenghua; Chu, Jianjun; Cao, Feilong

    2017-08-01

    The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a hot issue because of its important applications in disease diagnosis. Nowadays the morphological analysis of blood cells is operated manually by skilled operators, which results in some drawbacks such as slowness of the analysis, a non-standard accuracy, and the dependence on the operator's skills. Although there have been many papers studying the detection of WBCs or classification of WBCs independently, few papers consider them together. This paper proposes an automatic detection and classification system for WBCs from peripheral blood images. It firstly proposes an algorithm to detect WBCs from the microscope images based on the simple relation of colors R, B and morphological operation. Then a granularity feature (pairwise rotation invariant co-occurrence local binary pattern, PRICoLBP feature) and SVM are applied to classify eosinophil and basophil from other WBCs firstly. Lastly, convolution neural networks are used to extract features in high level from WBCs automatically, and a random forest is applied to these features to recognize the other three kinds of WBCs: neutrophil, monocyte and lymphocyte. Some detection experiments on Cellavison database and ALL-IDB database show that our proposed detection method has better effect almost than iterative threshold method with less cost time, and some classification experiments show that our proposed classification method has better accuracy almost than some other methods.

  14. Heartbeat classification system based on neural networks and dimensionality reduction

    Directory of Open Access Journals (Sweden)

    Rodolfo de Figueiredo Dalvi

    Full Text Available Abstract Introduction This paper presents a complete approach for the automatic classification of heartbeats to assist experts in the diagnosis of typical arrhythmias, such as right bundle branch block, left bundle branch block, premature ventricular beats, premature atrial beats and paced beats. Methods A pre-processing step was performed on the electrocardiograms (ECG for baseline removal. Next, a QRS complex detection algorithm was implemented to detect the heartbeats, which contain the primary information that is employed in the classification approach. Next, ECG segmentation was performed, by which a set of features based on the RR interval and the beat waveform morphology were extracted from the ECG signal. The size of the feature vector was reduced by principal component analysis. Finally, the reduced feature vector was employed as the input to an artificial neural network. Results Our approach was tested on the Massachusetts Institute of Technology arrhythmia database. The classification performance on a test set of 18 ECG records of 30 min each achieved an accuracy of 96.97%, a sensitivity of 95.05%, a specificity of 90.88%, a positive predictive value of 95.11%, and a negative predictive value of 92.7%. Conclusion The proposed approach achieved high accuracy for classifying ECG heartbeats and could be used to assist cardiologists in telecardiology services. The main contribution of our classification strategy is in the feature selection step, which reduced classification complexity without major changes in the performance.

  15. Pancreatic neuroendocrine tumours: correlation between MSCT features and pathological classification

    Energy Technology Data Exchange (ETDEWEB)

    Luo, Yanji; Dong, Zhi; Li, Zi-Ping; Feng, Shi-Ting [The First Affiliated Hospital, Sun Yat-Sen University, Department of Radiology, Guangzhou, Guangdong (China); Chen, Jie [The First Affiliated Hospital, Sun Yat-Sen University, Department of Gastroenterology, Guangzhou, Guangdong (China); Chan, Tao; Chen, Minhu [Union Hospital, Hong Kong, Medical Imaging Department, Shatin, N.T. (China); Lin, Yuan [The First Affiliated Hospital, Sun Yat-Sen University, Department of Pathology, Guangzhou, Guangdong (China)

    2014-11-15

    We aimed to evaluate the multi-slice computed tomography (MSCT) features of pancreatic neuroendocrine neoplasms (P-NENs) and analyse the correlation between the MSCT features and pathological classification of P-NENs. Forty-one patients, preoperatively investigated by MSCT and subsequently operated on with a histological diagnosis of P-NENs, were included. Various MSCT features of the primary tumour, lymph node, and distant metastasis were analysed. The relationship between MSCT features and pathologic classification of P-NENs was analysed with univariate and multivariate models. Contrast-enhanced images showed significant differences among the three grades of tumours in the absolute enhancement (P = 0.013) and relative enhancement (P = 0.025) at the arterial phase. Univariate analysis revealed statistically significant differences among the tumours of different grades (based on World Health Organization [WHO] 2010 classification) in tumour size (P = 0.001), tumour contour (P < 0.001), cystic necrosis (P = 0.001), tumour boundary (P = 0.003), dilatation of the main pancreatic duct (P = 0.001), peripancreatic tissue or vascular invasion (P < 0.001), lymphadenopathy (P = 0.011), and distant metastasis (P = 0.012). Multivariate analysis suggested that only peripancreatic tissue or vascular invasion (HR 3.934, 95 % CI, 0.426-7.442, P = 0.028) was significantly associated with WHO 2010 pathological classification. MSCT is helpful in evaluating the pathological classification of P-NENs. (orig.)

  16. An intelligent model for liver disease diagnosis.

    Science.gov (United States)

    Lin, Rong-Ho

    2009-09-01

    Liver disease, the most common disease in Taiwan, is not easily discovered in its initial stage; early diagnosis of this leading cause of mortality is therefore highly important. The design of an effective diagnosis model is therefore an important issue in liver disease treatment. This study accordingly employs classification and regression tree (CART) and case-based reasoning (CBR) techniques to structure an intelligent diagnosis model aiming to provide a comprehensive analytic framework to raise the accuracy of liver disease diagnosis. Based on the advice and assistance of doctors and medical specialists of liver conditions, 510 outpatient visitors using ICD-9 (International Classification of Diseases, 9th Revision) codes at a medical center in Taiwan from 2005 to 2006 were selected as the cases in the data set for liver disease diagnosis. Data on 340 patients was utilized for the development of the model and on 170 patients utilized to perform comparative analysis of the models. This paper accordingly suggests an intelligent model for the diagnosis of liver diseases which integrates CART and CBR. The major steps in applying the model include: (1) adopting CART to diagnose whether a patient suffers from liver disease; (2) for patients diagnosed with liver disease in the first step, employing CBR to diagnose the types of liver diseases. In the first phase, CART is used to extract rules from health examination data to show whether the patient suffers from liver disease. The results indicate that the CART rate of accuracy is 92.94%. In the second phase, CBR is developed to diagnose the type of liver disease, and the new case triggers the CBR system to retrieve the most similar case from the case base in order to support the treatment of liver disease. The new case is supported by a similarity ratio, and the CBR diagnostic accuracy rate is 90.00%. Actual implementation shows that the intelligent diagnosis model is capable of integrating CART and CBR techniques to

  17. EULAR points to consider in the development of classification and diagnostic criteria in systemic vasculitis

    DEFF Research Database (Denmark)

    Basu, Neil; Watts, Richard; Bajema, Ingeborg

    2010-01-01

    The systemic vasculitides are multiorgan diseases where early diagnosis and treatment can significantly improve outcomes. Robust nomenclature reduces diagnostic delay. However, key aspects of current nomenclature are widely perceived to be out of date, these include disease definitions, classific......, classification and diagnostic criteria. Therefore, the aim of the present work was to identify deficiencies and provide contemporary points to consider for the development of future definitions and criteria in systemic vasculitis....

  18. Automatic Classification of Marine Mammals with Speaker Classification Methods.

    Science.gov (United States)

    Kreimeyer, Roman; Ludwig, Stefan

    2016-01-01

    We present an automatic acoustic classifier for marine mammals based on human speaker classification methods as an element of a passive acoustic monitoring (PAM) tool. This work is part of the Protection of Marine Mammals (PoMM) project under the framework of the European Defense Agency (EDA) and joined by the Research Department for Underwater Acoustics and Geophysics (FWG), Bundeswehr Technical Centre (WTD 71) and Kiel University. The automatic classification should support sonar operators in the risk mitigation process before and during sonar exercises with a reliable automatic classification result.

  19. ALHAMBRA survey: morphological classification

    Science.gov (United States)

    Pović, M.; Huertas-Company, M.; Márquez, I.; Masegosa, J.; Aguerri, J. A. López; Husillos, C.; Molino, A.; Cristóbal-Hornillos, D.

    2015-03-01

    The Advanced Large Homogeneous Area Medium Band Redshift Astronomical (ALHAMBRA) survey is a photometric survey designed to study systematically cosmic evolution and cosmic variance (Moles et al. 2008). It employs 20 continuous medium-band filters (3500 - 9700 Å), plus JHK near-infrared (NIR) bands, which enable measurements of photometric redshifts with good accuracy. ALHAMBRA covers > 4 deg2 in eight discontinuous regions (~ 0.5 deg2 per region), of theseseven fields overlap with other extragalactic, multiwavelength surveys (DEEP2, SDSS, COSMOS, HDF-N, Groth, ELAIS-N1). We detect > 600.000 sources, reaching the depth of R(AB) ~ 25.0, and photometric accuracy of 2-4% (Husillos et al., in prep.). Photometric redshifts are measured using the Bayesian Photometric Redshift (BPZ) code (Benítez et al. 2000), reaching one of the best accuracies up to date of δz/z Huertas-Company 2008, 2009), one of the new non-parametric methods for morphological classification, specially useful when dealing with low resolution and high-redshift data. To test the accuracy of our morphological classification we used a sample of 3000 local, visually classified galaxies (Nair & Abraham 2010), moving them to conditions typical of our ALHAMBRA data (taking into account the background, redshift and magnitude distributions, etc.), and measuring their morphology using galSVM. Finally, we measured the morphology of ALHAMBRA galaxies, obtaining for each source seven morphological parameters (two concentration indexes, asymmetry, Gini, M20 moment of light, smoothness, and elongation), probability if the source belongs to early- or late-type, and its error. Comparing ALHAMBRA morph COSMOS/ACS morphology (obtained with the same method) we expect to have qualitative separation in two main morphological types for ~ 20.000 sources in 8 ALHAMBRA fields. For early-type galaxies we expect to recover ~ 70% and 30-40% up to magnitudes 20.0 and 21.5, respectively, having the contamination of late-types of

  20. Regularized binormal ROC method in disease classification using microarray data

    Directory of Open Access Journals (Sweden)

    Huang Jian

    2006-05-01

    Full Text Available Abstract Background An important application of microarrays is to discover genomic biomarkers, among tens of thousands of genes assayed, for disease diagnosis and prognosis. Thus it is of interest to develop efficient statistical methods that can simultaneously identify important biomarkers from such high-throughput genomic data and construct appropriate classification rules. It is also of interest to develop methods for evaluation of classification performance and ranking of identified biomarkers. Results The ROC (receiver operating characteristic technique has been widely used in disease classification with low dimensional biomarkers. Compared with the empirical ROC approach, the binormal ROC is computationally more affordable and robust in small sample size cases. We propose using the binormal AUC (area under the ROC curve as the objective function for two-sample classification, and the scaled threshold gradient directed regularization method for regularized estimation and biomarker selection. Tuning parameter selection is based on V-fold cross validation. We develop Monte Carlo based methods for evaluating the stability of individual biomarkers and overall prediction performance. Extensive simulation studies show that the proposed approach can generate parsimonious models with excellent classification and prediction performance, under most simulated scenarios including model mis-specification. Application of the method to two cancer studies shows that the identified genes are reasonably stable with satisfactory prediction performance and biologically sound implications. The overall classification performance is satisfactory, with small classification errors and large AUCs. Conclusion In comparison to existing methods, the proposed approach is computationally more affordable without losing the optimality possessed by the standard ROC method.

  1. Unraveling Executive Functioning in Dual Diagnosis.

    Science.gov (United States)

    Duijkers, Judith C L M; Vissers, Constance Th W M; Egger, Jos I M

    2016-01-01

    In mental health, the term dual-diagnosis is used for the co-occurrence of Substance Use Disorder (SUD) with another mental disorder. These co-occurring disorders can have a shared cause, and can cause/intensify each other's expression. Forming a threat to health and society, dual-diagnosis is associated with relapses in addiction-related behavior and a destructive lifestyle. This is due to a persistent failure to control impulses and the maintaining of inadequate self-regulatory behavior in daily life. Thus, several aspects of executive functioning like inhibitory, shifting and updating processes seem impaired in dual-diagnosis. Executive (dys-)function is currently even seen as a shared underlying key component of most mental disorders. However, the number of studies on diverse aspects of executive functioning in dual-diagnosis is limited. In the present review, a systematic overview of various aspects of executive functioning in dual-diagnosis is presented, striving for a prototypical profile of patients with dual-diagnosis. Looking at empirical results, inhibitory and shifting processes appear to be impaired for SUD combined with schizophrenia, bipolar disorder or cluster B personality disorders. Studies involving updating process tasks for dual-diagnosis were limited. More research that zooms in to the full diversity of these executive functions is needed in order to strengthen these findings. Detailed insight in the profile of strengths and weaknesses that underlies one's behavior and is related to diagnostic classifications, can lead to tailor-made assessment and indications for treatment, pointing out which aspects need attention and/or training in one's self-regulative abilities.

  2. THE DIFFERENTIATIVE DIAGNOSIS OF RENAL CYSTS

    Directory of Open Access Journals (Sweden)

    A. V. Seregin

    2012-01-01

    Full Text Available  Despite the progress of diagnostic possibilities, the interpretation of renal cysts is still difficult and may have false negative results. So far there is no algorithm of renal cysts patients examination and treatment. Further diagnostic process improvement and an exact knowledge of the possibilities of each method are needed. The main factor for choosing the right tactics of treatment and giving the prognosis of the disease is not only the diagnosis, but also the exact gradation of the renal cysts according to the Bosniak classification

  3. THE DIFFERENTIATIVE DIAGNOSIS OF RENAL CYSTS

    Directory of Open Access Journals (Sweden)

    A. V. Seregin

    2014-07-01

    Full Text Available  Despite the progress of diagnostic possibilities, the interpretation of renal cysts is still difficult and may have false negative results. So far there is no algorithm of renal cysts patients examination and treatment. Further diagnostic process improvement and an exact knowledge of the possibilities of each method are needed. The main factor for choosing the right tactics of treatment and giving the prognosis of the disease is not only the diagnosis, but also the exact gradation of the renal cysts according to the Bosniak classification

  4. Diagnosis of early stomach cancer (Lecture)

    International Nuclear Information System (INIS)

    Vinner, M.G.

    1989-01-01

    Problems concerning diagnosis of early stomach cancer using X-ray and endoscopic investigation techniques are stated. Classification of early stomach cancer suggested by the Japan Endoscopy Society and division system of early stomach cancer into two main foms: depth (erosive-ulcerous) one and elevated (polypoid) one-is presented X-ray and endoscopic investigation techniques are shown to be high efficiency concerning revealingation of stomach mucous variations using biopsy, which allow to determine for certain whother the process is benign or malignant one

  5. Classification of titanium dioxide

    International Nuclear Information System (INIS)

    Macias B, L.R.; Garcia C, R.M.; Maya M, M.E.; Ita T, A. De; Palacios G, J.

    2002-01-01

    In this work the X-ray diffraction (XRD), Scanning Electron Microscopy (Sem) and the X-ray Dispersive Energy Spectroscopy techniques are used with the purpose to achieve a complete identification of phases and mixture of phases of a crystalline material as titanium dioxide. The problem for solving consists of being able to distinguish a sample of titanium dioxide being different than a titanium dioxide pigment. A standard sample of titanium dioxide with NIST certificate is used, which indicates a purity of 99.74% for the TiO 2 . The following way is recommended to proceed: a)To make an analysis by means of X-ray diffraction technique to the sample of titanium dioxide pigment and on the standard of titanium dioxide waiting not find differences. b) To make a chemical analysis by the X-ray Dispersive Energy Spectroscopy via in a microscope, taking advantage of the high vacuum since it is oxygen which is analysed and if it is concluded that the aluminium oxide appears in a greater proportion to 1% it is established that is a titanium dioxide pigment, but if it is lesser then it will be only titanium dioxide. This type of analysis is an application of the nuclear techniques useful for the tariff classification of merchandise which is considered as of difficult recognition. (Author)

  6. Low-field magnetic resonance imaging or combined ultrasonography and anti-cyclic citrullinated peptide antibody improve correct classification of individuals as established rheumatoid arthritis

    DEFF Research Database (Denmark)

    Pedersen, Jens K; Lorenzen, Tove; Ejbjerg, Bo

    2014-01-01

    (RA). METHODS: In 53 individuals from a population-based, cross-sectional study, historic fulfilment of the American College of Rheumatology (ACR) 1987 criteria ("classification") or RA diagnosed by a rheumatologist ("diagnosis") were used as standard references. The sensitivity, specificity and Area....../specificity) was 78% (62%/94%) (classification) and 85% (69%/100%) (diagnosis), while for the total synovitis score of MCP joints plus wrist (cut-off ≥10) it was 78% (62%/94%) (both classification and diagnosis). CONCLUSIONS: Compared with the ACR 1987 criteria, low-field MRI alone or adapted criteria incorporating...

  7. Proposal of new classification of femoral trochanteric fracture by three-dimensional computed tomography and relationship to usual plain X-ray classification.

    Science.gov (United States)

    Shoda, Etsuo; Kitada, Shimpei; Sasaki, Yu; Hirase, Hitoshi; Niikura, Takahiro; Lee, Sang Yang; Sakurai, Atsushi; Oe, Keisuke; Sasaki, Takeharu

    2017-01-01

    Classification of femoral trochanteric fractures is usually based on plain X-ray findings using the Evans, Jensen, or AO/OTA classification. However, complications such as nonunion and cut out of the lag screw or blade are seen even in stable fracture. This may be due to the difficulty of exact diagnosis of fracture pattern in plain X-ray. Computed tomography (CT) may provide more information about the fracture pattern, but such data are scarce. In the present study, it was performed to propose a classification system for femoral trochanteric fractures using three-dimensional CT (3D-CT) and investigate the relationship between this classification and conventional plain X-ray classification. Using three-dimensional (3D)-CT, fractures were classified as two, three, or four parts using combinations of the head, greater trochanter, lesser trochanter, and shaft. We identified five subgroups of three-part fractures according to the fracture pattern involving the greater and lesser trochanters. In total, 239 femoral trochanteric fractures (45 men, 194 women; average age, 84.4 years) treated in four hospitals were classified using our 3D-CT classification. The relationship between this 3D-CT classification and the AO/OTA, Evans, and Jensen X-ray classifications was investigated. In the 3D-CT classification, many fractures exhibited a large oblique fragment of the greater trochanter including the lesser trochanter. This fracture type was recognized as unstable in the 3D-CT classification but was often classified as stable in each X-ray classification. It is difficult to evaluate fracture patterns involving the greater trochanter, especially large oblique fragments including the lesser trochanter, using plain X-rays. The 3D-CT shows the fracture line very clearly, making it easy to classify the fracture pattern.

  8. Intra- and interrater reliability of three different MRI grading and classification systems after acute hamstring injuries.

    Science.gov (United States)

    Wangensteen, Arnlaug; Tol, Johannes L; Roemer, Frank W; Bahr, Roald; Dijkstra, H Paul; Crema, Michel D; Farooq, Abdulaziz; Guermazi, Ali

    2017-04-01

    To assess and compare the intra- and interrater reliability of three different MRI grading and classification systems after acute hamstring injury. Male athletes (n=40) with clinical diagnosis of acute hamstring injury and MRI ≤5days were selected from a prospective cohort. Two radiologists independently evaluated the MRIs using standardised scoring form including the modified Peetrons grading system, the Chan acute muscle strain injury classification and the British Athletics Muscle Injury Classification. Intra-and interrater reliability was assessed with linear weighted kappa (κ) or unweighted Cohen's κ and percentage agreement was calculated. We observed 'substantial' to 'almost perfect' intra- (κ range 0.65-1.00) and interrater reliability (κ range 0.77-1.00) with percentage agreement 83-100% and 88-100%, respectively, for severity gradings, overall anatomical sites and overall classifications for the three MRI systems. We observed substantial variability (κ range -0.05 to 1.00) for subcategories within the Chan classification and the British Athletics Muscle Injury Classification, however, the prevalence of positive scorings was low for some subcategories. The modified Peetrons grading system, overall Chan classification and overall British Athletics Muscle Injury Classification demonstrated 'substantial' to 'almost perfect' intra- and interrater reliability when scored by experienced radiologists. The intra- and interrater reliability for the anatomical subcategories within the classifications remains unclear. Copyright © 2017 Elsevier B.V. All rights reserved.

  9. Comparison between different papillary recession classification systems

    Directory of Open Access Journals (Sweden)

    Li-Ching Chang

    2012-12-01

    Conclusion: This study confirmed a significant correlation between the two existing classification methods. The proposed PR classification system characterizes open embrasures in greater detail than previous systems.

  10. Systema Naturae. Classification of living things.

    OpenAIRE

    Alexey Shipunov

    2007-01-01

    Original classification of living organisms containing four kingdoms (Monera, Protista, Vegetabilia and Animalia), 60 phyla and 254 classes, is presented. The classification is based on latest available information.

  11. Music classification with MPEG-7

    Science.gov (United States)

    Crysandt, Holger; Wellhausen, Jens

    2003-01-01

    Driven by increasing amount of music available electronically the need and possibility of automatic classification systems for music becomes more and more important. Currently most search engines for music are based on textual descriptions like artist or/and title. This paper presents a system for automatic music description, classification and visualization for a set of songs. The system is designed to extract significant features of a piece of music in order to find songs of similar genre or a similar sound characteristics. The description is done with the help of MPEG-7 only. The classification and visualization is done with the self organizing map algorithm.

  12. Review of Medical Image Classification using the Adaptive Neuro-Fuzzy Inference System.

    Science.gov (United States)

    Hosseini, Monireh Sheikh; Zekri, Maryam

    2012-01-01

    Image classification is an issue that utilizes image processing, pattern recognition and classification methods. Automatic medical image classification is a progressive area in image classification, and it is expected to be more developed in the future. Because of this fact, automatic diagnosis can assist pathologists by providing second opinions and reducing their workload. This paper reviews the application of the adaptive neuro-fuzzy inference system (ANFIS) as a classifier in medical image classification during the past 16 years. ANFIS is a fuzzy inference system (FIS) implemented in the framework of an adaptive fuzzy neural network. It combines the explicit knowledge representation of an FIS with the learning power of artificial neural networks. The objective of ANFIS is to integrate the best features of fuzzy systems and neural networks. A brief comparison with other classifiers, main advantages and drawbacks of this classifier are investigated.

  13. [Acute myeloid leukemia with bone marrow erythroblastosis: about one case illustrating the new WHO classification (2008)].

    Science.gov (United States)

    Vincenot, Anne; Abarah, Wajed; Frayfer, Jamilé; Mahfouz, Imad; Andre-Kerneis, Elisabeth

    2011-01-01

    We reported here a case of acute myeloid leukaemia (AML) in a 28-year-old male patient, which diagnosis is discussed according to the different classifications. This case focused on some new criteria and changes in the new WHO classification (2008) of AML, especially when erythroid precursors represent over 50% of bone marrow nucleated cells. It also pointed on some gene mutations (NPM1, CEPBA, FLT3, WT1…) and their prognostic features in AML with a normal karyotype, leading to individualize two new provisional entities in the WHO classification of tumours of hematopoietic and lymphoid tissues 2008.

  14. Clinical Trial on the Characteristics of Zheng Classification of Pulmonary Diseases Based on Infrared Thermal Imaging Technology

    Directory of Open Access Journals (Sweden)

    Jin-xia Ni

    2013-01-01

    Full Text Available Zheng classification study based on infrared thermal imaging technology has not been reported before. To detect the relative temperature of viscera and bowels of different syndromes patients with pulmonary disease and to summarize the characteristics of different Zheng classifications, the infrared thermal imaging technology was used in the clinical trial. The results showed that the infrared thermal images characteristics of different Zheng classifications of pulmonary disease were distinctly different. The influence on viscera and bowels was deeper in phlegm-heat obstructing lung syndrome group than in cold-phlegm obstructing lung syndrome group. It is helpful to diagnose Zheng classification and to improve the diagnosis rate by analyzing the infrared thermal images of patients. The application of infrared thermal imaging technology provided objective measures for medical diagnosis and treatment in the field of Zheng studies and provided a new methodology for Zheng classification.

  15. [The diagnosis and treatment of fibromyalgia].

    Science.gov (United States)

    Branco, J C

    1995-04-01

    Fibromyalgia syndrome (FMS) affects predominantly females and is characterised by widespread musculoskeletal pain, fatigue, insomnia, nonrefreshing sleep, diffuse stiffness and other organic and psychic signs and symptoms. Diagnosis is essentially based on the 1990 American College of Rheumatology Classificative Criteria, but if, in some cases, they are not completely fulfilled, diagnosis is not excluded in a particular patient. The causes of the enhanced pain perception and of all the other clinical characteristics are unknown. Both the central hypothesis (sleep disturbance; psychological affection; hypothalamus-hypophysis-adrenal axis disorder; neuromediators disregulation; etc.) and the peripheral theory (anatomical and/or functional muscle disturbance) try to explain FMS etiopathogenesis. Tricycles antidepressants (i.e. amitriptilin) and some muscle relaxants (i.e. ciclobenzaprine) have demonstrated some beneficial effect contrary to the classic antirheumatic drugs (NSAID; corticosteroids; etc.). Physical exercise, multidisciplinary support (behavioural therapy, physical agents; etc.) and patient education are some of the other approaches which contribute to the correct management of FMS.

  16. Mucosal pattern in the diagnosis of gastritis

    International Nuclear Information System (INIS)

    Neuhold, A.; Polterauer, P.; Fruehwald, F.; Neuhold, N.; Seidl, G.; Vienna Univ.; Vienna Univ.

    1984-01-01

    To assess the sensitivity of radiology in diagnosis of gastritis within 2 hours endoscopy and biopsy of the stomach and double contrast barium meal were performed. The diagnosis was established of the morphologic picture of the areae gastricae, which were sufficient visible in 33 out of 50 cases (66%). In 7 patients radiologic findings were normal, 13 patients showed superficial gastritis, 10 patients had superficial gastritis with signs of atrophy and in 3 patients there was an erosive gastritis. In all 33 patients (100%) there was a complete correlation of radiologic and endoscopic findings, in 24 out of 33 cases (73%) even correlation between radiologic and histologic classification. These results are discussed and confrontated with literatures. (orig.) [de

  17. Dens invaginatus: diagnosis and management strategies.

    Science.gov (United States)

    Gallacher, A; Ali, R; Bhakta, S

    2016-10-07

    Dens invaginatus is a developmental malformation, in which there is an infolding of enamel into dentine. These infolds represent stagnation sites for bacteria and can predispose to dental caries. The carious infection can spread via enamel and dentine to contaminate the pulp and cause soft tissue necrosis. The altered and sometimes complex anatomy of affected teeth can make endodontic management challenging. Early diagnosis is therefore essential as prophylactic treatment of the dens can prevent degeneration and pulpal necrosis. The aim of this article is to review the aetiology, classification, diagnosis and management of teeth affected with dens invaginatus. Emphasis will be placed on describing the clinical features of this anomaly. Treatment options, management strategies and the challenges faced in managing this condition will be discussed.

  18. An expert system in medical diagnosis

    International Nuclear Information System (INIS)

    Raboanary, R.; Raoelina Andriambololona; Soffer, J.; Raboanary, J.

    2001-01-01

    Health problem is still a crucial one in some countries. It is so important that it becomes a major handicap in economic and social development. In order to solve this problem, we have conceived an expert system that we called MITSABO, which means TO HEAL, to help the physicians to diagnose tropical diseases. It is clear that by extending the data base and the knowledge base, we can extend the application of the software to more general areas. In our expert system, we used the concept of 'self organization' of neural network based on the determination of the eigenvalues and the eigenvectors associated to the correlation matrix XX t . The projection of the data on the two first eigenvectors gives a classification of the diseases which is used to get a first approach in the diagnosis of the patient. This diagnosis is improved by using an expert system which is built from the knowledge base.

  19. Gender incongruence/gender dysphoria and its classification history.

    Science.gov (United States)

    Beek, Titia F; Cohen-Kettenis, Peggy T; Kreukels, Baudewijntje P C

    2016-01-01

    In this article we discuss the changes in the Diagnostic and Statistical Manual of Mental Disorders (DSM) classification of gender identity-related conditions over time, and indicate how these changes were associated with the changes in conceptualization. A diagnosis of 'transsexualism' appeared first in DSM-III in 1980. This version also included a childhood diagnosis: gender identity disorder of childhood. As research about gender incongruence/gender dysphoria increased, the terminology, placement and criteria were reviewed in successive versions of the DSM. Changes in various aspects of the diagnosis, however, were not only based on research. Social and political factors contributed to the conceptualization of gender incongruence/gender dysphoria as well.

  20. A classification method based on principal components of SELDI spectra to diagnose of lung adenocarcinoma.

    Directory of Open Access Journals (Sweden)

    Qiang Lin

    Full Text Available Lung cancer is the leading cause of cancer death worldwide, but techniques for effective early diagnosis are still lacking. Proteomics technology has been applied extensively to the study of the proteins involved in carcinogenesis. In this paper, a classification method was developed based on principal components of surface-enhanced laser desorption/ionization (SELDI spectral data. This method was applied to SELDI spectral data from 71 lung adenocarcinoma patients and 24 healthy individuals. Unlike other peak-selection-based methods, this method takes each spectrum as a unity. The aim of this paper was to demonstrate that this unity-based classification method is more robust and powerful as a method of diagnosis than peak-selection-based methods.The results showed that this classification method, which is based on principal components, has outstanding performance with respect to distinguishing lung adenocarcinoma patients from normal individuals. Through leaving-one-out, 19-fold, 5-fold and 2-fold cross-validation studies, we found that this classification method based on principal components completely outperforms peak-selection-based methods, such as decision tree, classification and regression tree, support vector machine, and linear discriminant analysis.The classification method based on principal components of SELDI spectral data is a robust and powerful means of diagnosing lung adenocarcinoma. We assert that the high efficiency of this classification method renders it feasible for large-scale clinical use.