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Sample records for syringomyelia classification diagnosis

  1. Malformations of the craniocervical junction (chiari type I and syringomyelia: classification, diagnosis and treatment

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    García-Ramos Rocío

    2009-12-01

    Full Text Available Abstract Chiari disease (or malformation is in general a congenital condition characterized by an anatomic defect of the base of the skull, in which the cerebellum and brain stem herniate through the foramen magnum into the cervical spinal canal. The onset of Chiari syndrome symptoms usually occurs in the second or third decade (age 25 to 45 years. Symptoms may vary between periods of exacerbation and remission. The diagnosis of Chiari type I malformation in patients with or without symptoms is established with neuroimaging techniques. The most effective therapy for patients with Chiari type I malformation/syringomyelia is surgical decompression of the foramen magnum, however there are non-surgical therapy to relieve neurophatic pain: either pharmacological and non-pharmacological. Pharmacological therapy use drugs that act on different components of pain. Non-pharmacological therapies are primarly based on spinal or peripheral electrical stimulation. It is important to determine the needs of the patients in terms of health-care, social, educational, occupational, and relationship issues, in addition to those derived from information aspects, particularly at onset of symptoms. Currently, there is no consensus among the specialists regarding the etiology of the disease or how to approach, monitor, follow-up, and treat the condition. It is necessary that the physicians involved in the care of people with this condition comprehensively approach the management and follow-up of the patients, and that they organize interdisciplinary teams including all the professionals that can help to increase the quality of life of patients.

  2. Diagnosis of posttraumatic syringomyelia with MRI

    International Nuclear Information System (INIS)

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

    1988-01-01

    Five cases with development of syringomyelia, following long stable period of paraplegia after spinal trauma, have been studied with a resistive MRI unit. In all five cases there was spinal cord damage at the lower dorsal or dorsolumbar vertebral levels. Symptoms and signs of syringomyelia developed after long steady period with increased paresthesia, muscle weakness and pain of the shoulders and upper extremities. MRI revealed syringomyelia involving the dorsal and cervical cord up to the C1 or C2 level. The syringomyelia cavity was hypointense on T1 weighted images, but T2 weighted images showed isointensity in 2 of 4 cases showing no flow void. At the site of the cord injury there was diffuse increased signal intensity within the cord, probably indicating myelomalacia or gliosis. Pathogenesis of post-traumatic syringomyelia was discussed from the standpoint of diagnosis and treatment. (author)

  3. Diagnosis of posttraumatic syringomyelia with MRI

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

    1988-11-01

    Five cases with development of syringomyelia, following long stable period of paraplegia after spinal trauma, have been studied with a resistive MRI unit. In all five cases there was spinal cord damage at the lower dorsal or dorsolumbar vertebral levels. Symptoms and signs of syringomyelia developed after long steady period with increased paresthesia, muscle weakness and pain of the shoulders and upper extremities. MRI revealed syringomyelia involving the dorsal and cervical cord up to the C1 or C2 level. The syringomyelia cavity was hypointense on T1 weighted images, but T2 weighted images showed isointensity in 2 of 4 cases showing no flow void. At the site of the cord injury there was diffuse increased signal intensity within the cord, probably indicating myelomalacia or gliosis. Pathogenesis of post-traumatic syringomyelia was discussed from the standpoint of diagnosis and treatment.

  4. Syringomyelia

    DEFF Research Database (Denmark)

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

    2014-01-01

    BACKGROUND: The term syringomyelia describes many pathogenetically different disorders, and a variety of attempts to group these based on different criteria have been proposed in the literature. As a consequence a lack of consensus regarding classification and terminology exists. This inconsistency...... pathogenetic theories in relation to syringomyelia. Illustrative cases at our department were included and similar cases of the literature were found using the PubMed database. All material was reviewed with main focus on the classification and terminology used. RESULTS: Despite syringomyelia (G95.......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...

  5. Clinical study of syringomyelia. Relation of neurological symptoms and imaging diagnosis

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    Ohga, Ritsu; Konishi, Yoshihiro; Higashi, Yasuto; Kawai, Kingo; Yasuda, Takeshi; Terao, Akira (Kawasaki Medical School, Kurashiki, Okayama (Japan))

    1988-12-01

    We discussed the relationship between neurological symptoms and the locations of syringes observed by CT and MRI (imaging diagnosis) in six cases of syringomyelia admitted to our department during the past five years. Neurological symptoms of the upper cervical and thoracic cords were found in six cases and five cases of them had symmetric distribution. Syringes were found in all cases by delayed CT (D-CT) and MRI. Five cases had laterality. The sites in the spinal cord exhibiting severe involvement of neurological symptoms corresponded with the sites of syringes in imaging diagnosis. The main asymmetric lesions of the syringes were located in the posterior horn. They indicated the relationship with the appearance of the neurological symptoms of the lesion. We compared with the width of the longitudinal level from neurological findings and imaging diagnosis. The rostral level of both corresponded in all cases, but the caudal level corresponded in only one case and neurological symptoms were broader than syringes in imaging diagnosis. It was difficult to identify small syringes when there was complicated scoliosis. The diagnosis of typical cases of syringomyelia is mainly based on such neurological symptoms as a bilateral segmental pattern of dissociated sensory impairment in the past, but imaging diagnosis has recently come to be regarded as very important. (J.P.N.).

  6. CT myelography in communicating syringomyelia

    International Nuclear Information System (INIS)

    Pamir, M.N.; Ozer, A.F.; Zirh, T.A.; Gurmen, N.; Erzen, C.

    1991-01-01

    Although the etiology of syringomyelia is not clearly understood, many surgical methods have been proposed for its treatment. One widely used technique in cases of communicating syringomyelia is that of posterior fossa decompression and plugging of the obex (Gardner's Operation). In this paper 5 cases of syringomyelia are presented which were investigated using detailed myelo-computerized tomographic techniques, of which 2 appeared to be communicating syringomyelia and which were treated by posterior fossa decompression and obex plugging. The authors also discuss the place of computed tomography in the differential diagnosis of communicating syringomyelia. (author). 42 refs.; 3 figs.; 2 tabs

  7. Scoliosis Associated With Syringomyelia

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    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.

  8. Classification, disease, and diagnosis.

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    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.

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

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    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

  10. [Headache: classification and diagnosis].

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    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.

  11. 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

  12. 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

  13. Magnetic resonance tomography in syringomyelia

    International Nuclear Information System (INIS)

    Koehler, D.; Treisch, J.; Hertel, G.; Schoerner, W.; Fiegler, W.; Staedtisches Rudolf-Virchow Krankenhaus, Berlin

    1985-01-01

    Thirteen patients with a clinical diagnosis of syringomyelia were examined by nuclear tomography (0.35 T magnet) in the spin-echo mode. In all thirteen patients, the T1 images (Se 400/35) showed a longitudinal cavity with a signal intensity of CSF. The shape and extent of the syrinx could be adequately demonstrated in 12 of the 13 examinations. Downward displacement of the cerebellar tonsils was seen in eight cases. The examination took between half and one hour. Advantages of magnetic resonance tomography (nuclear tomography) include the absence of artifacts, images in the line of the lesion and its non-invasiveness. (orig.) [de

  14. Pan, Syrinx and syringomyelia

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    Leonardo Palacios-Sánchez

    Full Text Available ABSTRACT 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.

  15. Pan, Syrinx and syringomyelia.

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    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.

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

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    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

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

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    Ngoo, Qi Zhe; Tai, Evelyn Li Min; Wan Hitam, Wan Hazabbah

    2017-01-01

    In this case report, we present two cases of syringomyelia with optic neuropathy. 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. Optic neuropathy is a rare neuro-ophthalmic manifestation in patients with syringomyelia. Prompt diagnosis and timely management are essential to avoid a poor visual outcome. Intravenous corticosteroids are beneficial in the treatment of early optic neuropathy in

  18. Dry eye disease: pathophysiology, classification, and diagnosis.

    Science.gov (United States)

    Perry, Henry D

    2008-04-01

    Dry eye disease (DED) is a multifactorial disorder of the tear film and ocular surface that results in eye discomfort, visual disturbance, and often ocular surface damage. Although recent research has made progress in elucidating DED pathophysiology, currently there are no uniform diagnostic criteria. This article discusses the normal anatomy and physiology of the lacrimal functional unit and the tear film; the pathophysiology of DED; DED etiology, classification, and risk factors; and DED diagnosis, including symptom assessment and the roles of selected diagnostic tests.

  19. Posttraumatic syringomyelia associated with heavy weightlifting exercises: case report.

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    Balmaseda, M T; Wunder, J A; Gordon, C; Cannell, C D

    1988-11-01

    Posttraumatic syringomyelia is a well-recognized late sequel to spinal trauma occurring in 1% to 3.2% of spinal cord injured patients. Its clinical presentation is usually marked by pain, ascending sensory loss, increased muscle weakness, and depressed deep tendon reflexes. The case of a 25-year-old man with C8 complete quadriplegia, who developed a syrinx five years after his initial injury, is presented. This patient kept a log of his daily physical workout which consisted of lifting weights of 50 to 60 pounds with his neck extensors and biceps. The diagnosis was made clinically and confirmed by magnetic resonance imaging. Repeated valsalva maneuvers from daily heavy weightlifting exercises most likely predisposed this patient to the development and extension of his syringomyelia. Dramatic improvement followed surgical placement of a subarachnoid shunt.

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

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    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.

  1. Parasomnias: Diagnosis, Classification and Clinical Features

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    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

  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. Diagnosis of periodontal diseases using different classification ...

    African Journals Online (AJOL)

    The codes created for risk factors, periodontal data, and radiographically bone loss were formed as a matrix structure and regarded as inputs for the classification unit. A total of six periodontal conditions was the outputs of the classification unit. The accuracy of the suggested methods was compared according to their ...

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

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    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

  5. Exercise Concepts for Individuals with Syringomyelia

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    ... 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 ...

  6. Association of idiopathic hypopituitarism and syringomyelia

    Energy Technology Data Exchange (ETDEWEB)

    Aihara, T. [Dept. of Radiology, Saitama Children`s Medical Center, Saitama (Japan); Nishikawa, M. [Dept. of Radiology, Saitama Children`s Medical Center, Saitama (Japan); Koda, N. [Div. of Endocrinology and Metabolism, Dept. of Pediatrics, Saitama Children`s Medical Center (Japan); Abe, T. [Dept. of Neurosurgery, Jikei Univ. School of Medicine, Tokyo (Japan)

    1995-06-01

    The magnetic resonance in an 8-year-old boy with hypopituitarism and cervical syringomyelia are presented. Magnetic resonance imaging of the brain clearly demonstrated syringomyelia in the cervical spinal cord and transection of the pituitary stalk, findings identical to those reported in the literature. Both disorders have been seen in association with a difficult labor, so we suggest that this is not a chance finding. (orig.)

  7. Association of idiopathic hypopituitarism and syringomyelia

    International Nuclear Information System (INIS)

    Aihara, T.; Nishikawa, M.; Koda, N.; Abe, T.

    1995-01-01

    The magnetic resonance in an 8-year-old boy with hypopituitarism and cervical syringomyelia are presented. Magnetic resonance imaging of the brain clearly demonstrated syringomyelia in the cervical spinal cord and transection of the pituitary stalk, findings identical to those reported in the literature. Both disorders have been seen in association with a difficult labor, so we suggest that this is not a chance finding. (orig.)

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

    African Journals Online (AJOL)

    2014-11-29

    Nov 29, 2014 ... Nigerian Journal of Clinical Practice • May-Jun 2015 • Vol 18 • Issue 3 ... Materials and Methods: A total of 150 patients was divided into two groups such as training ... functions from training data and DT learning is one of ... were represented as numerical codings for classification ..... tool within dentistry.

  9. Syringomyelia

    Science.gov (United States)

    ... Institutes of Health (NIH), the leading supporter of biomedical research in the world. Genetics and birth defects Studies ... Testimony Legislative Updates Impact NINDS Contributions to Approved Therapies ... Director, Division of Intramural Research

  10. 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.

  11. Optimized Neural Network for Fault Diagnosis and Classification

    International Nuclear Information System (INIS)

    Elaraby, S.M.

    2005-01-01

    This paper presents a developed and implemented toolbox for optimizing neural network structure of fault diagnosis and classification. Evolutionary algorithm based on hierarchical genetic algorithm structure is used for optimization. The simplest feed-forward neural network architecture is selected. Developed toolbox has friendly user interface. Multiple solutions are generated. The performance and applicability of the proposed toolbox is verified with benchmark data patterns and accident diagnosis of Egyptian Second research reactor (ETRR-2)

  12. Inherited epidermolysis bullosa : Updated recommendations on diagnosis and classification

    NARCIS (Netherlands)

    Fine, Jo-David; Bruckner-Tuderman, Leena; Eady, Robin A. J.; Bauer, Eugene A.; Bauer, Johann W.; Has, Cristina; Heagerty, Adrian; Hintner, Helmut; Hovnanian, Alain; Jonkman, Marcel F.; Leigh, Irene; Marinkovich, M. Peter; Martinez, Anna E.; McGrath, John A.; Mellerio, Jemima E.; Moss, Celia; Murrell, Dedee F.; Shimizu, Hiroshi; Uitto, Jouni; Woodley, David; Zambruno, Giovanna

    Background: Several newtargeted genes and clinical subtypes have been identified since publication in 2008 of the report of the last international consensus meeting on diagnosis and classification of epidermolysis bullosa (EB). As a correlate, new clinical manifestations have been seen in several

  13. Progress in the diagnosis and classification of pituitary adenomas

    Directory of Open Access Journals (Sweden)

    Luis V Syro

    2015-06-01

    Full Text Available 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Isu, Toyohiko; Iwasaki, Yoshinobu; Nunomura, Mitsuru; Akino, Minoru; Koyanagi, Izumi; Abe, Hiroshi [Hokkaido Univ., Sapporo (Japan). School of Medicine; 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. 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.)

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

    Directory of Open Access Journals (Sweden)

    T. V. Korotaev

    2018-01-01

    Full Text Available soriatic arthritis (PsA is a chronic inflammatory disease of the joints, spine and entheses from a group of spondyloarthritis (SpA, which is usually observed in patients with psoriasis (Ps. The diagnosis of PsA is based on the CASPAR criteria for psoriatic arthritis. The disease results from interactions between genetic, immunological and environmental factors. The main clinical manifestations of PsA include peripheral arthritis, enthesitis, dactylitis, and spondylitis. PsA must be differentiated from rheumatoid arthritis, gout, reactive arthritis, osteoarthritis, and ankylosing spondylitis. Due to the fact that PsA is a clinically heterogeneous disease, its activity is assessed using complex indices, by taking into account that the patient has arthritis, enthesitis, dactylitis, and spondylitis. The goal of treatment for PsA is to achieve remission or minimal activity of the main clinical manifestations of the disease, to slow down or prevent radiographic progression, to increase life expectancy and quality of life in the patients, and to reduce the risk of comorbidities, which is achieved through a wide range of drugs of different classes. Therapy should be chosen based on the clinical manifestations of PsA and comorbidities in the patients. 

  17. New Classification of Focal Cortical Dysplasia: Application to Practical Diagnosis

    Science.gov (United States)

    Bae, Yoon-Sung; Kang, Hoon-Chul; Kim, Heung Dong; Kim, Se Hoon

    2012-01-01

    Background and Purpose: Malformation of cortical development (MCD) is a well-known cause of drug-resistant epilepsy and focal cortical dysplasia (FCD) is the most common neuropathological finding in surgical specimens from drug-resistant epilepsy patients. Palmini’s classification proposed in 2004 is now widely used to categorize FCD. Recently, however, Blumcke et al. recommended a new system for classifying FCD in 2011. Methods: We applied the new classification system in practical diagnosis of a sample of 117 patients who underwent neurosurgical operations due to drug-resistant epilepsy at Severance Hospital in Seoul, Korea. Results: Among 117 cases, a total of 16 cases were shifted to other FCD subtypes under the new classification system. Five cases were reclassified to type IIIa and five cases were categorized as dual pathology. The other six cases were changed within the type I category. Conclusions: The most remarkable changes in the new classification system are the advent of dual pathology and FCD type III. Thus, it will be very important for pathologists and clinicians to discriminate between these new categories. More large-scale research needs to be conducted to elucidate the clinical influence of the alterations within the classification of type I disease. Although the new FCD classification system has several advantages compared to the former, the correlation with clinical characteristics is not yet clear. PMID:24649461

  18. HYPERCORTISOLISM: CLASSIFICATION, PATHOGENESIS, CLINICAL MANIFESTATIONS. DIAGNOSIS OF ENDOGENOUS HYPERCORTISOLISM

    Directory of Open Access Journals (Sweden)

    Nikonova L. V.

    2017-02-01

    Full Text Available The relevance of the study of Cushing's syndrome with different etiology as well as the states of hypercorticism, which is not associated with endogenous hypercortisolism, is due to the difficulty of the diagnosis of this disease. Accurate knowledge of the classification criteria for the diagnosis of hypercorticism enables subsequently to establish the correct diagnosis and to administer the appropriate treatment. It was found that the cause of hypercorticism can be endogenous and exogenous factors. There is a particular group of patients requiring screening for hypercorticism using special diagnostic tests. Only a clear understanding of etiopathogenesis of hypercorticism and its clinical manifestations by the specialist, the correct interpretation of diagnostic results make it possible to establish the diagnosis, to administer the appropriate treatment and significantly reduce the morbidity and mortality of patients of this profile and improve their quality of life.

  19. 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

  20. Chronic pancreatitis: diagnosis, classification, and new genetic developments.

    Science.gov (United States)

    Etemad, B; Whitcomb, D C

    2001-02-01

    The utilization of recent advances in molecular and genomic technologies and progress in pancreatic imaging techniques provided remarkable insight into genetic, environmental, immunologic, and pathobiological factors leading to chronic pancreatitis. Translation of these advances into clinical practice demands a reassessment of current approaches to diagnosis, classification, and staging. We conclude that an adequate pancreatic biopsy must be the gold standard against which all diagnostic approaches are judged. Although computed tomography remains the initial test of choice for the diagnosis of chronic pancreatitis, the roles of endoscopic retrograde pancreatography, endoscopic ultrasonography, and magnetic resonance imaging are considered. Once chronic pancreatitis is diagnosed, proper classification becomes important. Major predisposing risk factors to chronic pancreatitis may be categorized as either (1) toxic-metabolic, (2) idiopathic, (3) genetic, (4) autoimmune, (5) recurrent and severe acute pancreatitis, or (6) obstructive (TIGAR-O system). After classification, staging of pancreatic function, injury, and fibrosis becomes the next major concern. Further research is needed to determine the clinical and natural history of chronic pancreatitis developing in the context of various risk factors. New methods are needed for early diagnosis of chronic pancreatitis, and new therapies are needed to determine whether interventions will delay or prevent the progression of the irreversible damage characterizing end-stage chronic pancreatitis.

  1. MERRF Classification: Implications for Diagnosis and Clinical Trials.

    Science.gov (United States)

    Finsterer, Josef; Zarrouk-Mahjoub, Sinda; Shoffner, John M

    2018-03-01

    Given the etiologic heterogeneity of disease classification using clinical phenomenology, we employed contemporary criteria to classify variants associated with myoclonic epilepsy with ragged-red fibers (MERRF) syndrome and to assess the strength of evidence of gene-disease associations. Standardized approaches are used to clarify the definition of MERRF, which is essential for patient diagnosis, patient classification, and clinical trial design. Systematic literature and database search with application of standardized assessment of gene-disease relationships using modified Smith criteria and of variants reported to be associated with MERRF using modified Yarham criteria. Review of available evidence supports a gene-disease association for two MT-tRNAs and for POLG. Using modified Smith criteria, definitive evidence of a MERRF gene-disease association is identified for MT-TK. Strong gene-disease evidence is present for MT-TL1 and POLG. Functional assays that directly associate variants with oxidative phosphorylation impairment were critical to mtDNA variant classification. In silico analysis was of limited utility to the assessment of individual MT-tRNA variants. With the use of contemporary classification criteria, several mtDNA variants previously reported as pathogenic or possibly pathogenic are reclassified as neutral variants. MERRF is primarily an MT-TK disease, with pathogenic variants in this gene accounting for ~90% of MERRF patients. Although MERRF is phenotypically and genotypically heterogeneous, myoclonic epilepsy is the clinical feature that distinguishes MERRF from other categories of mitochondrial disorders. Given its low frequency in mitochondrial disorders, myoclonic epilepsy is not explained simply by an impairment of cellular energetics. Although MERRF phenocopies can occur in other genes, additional data are needed to establish a MERRF disease-gene association. This approach to MERRF emphasizes standardized classification rather than clinical

  2. 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.

  3. Syringomyelia and Craniocervical Junction Abnormalities in Chihuahuas

    OpenAIRE

    Kiviranta, A.‐M.; Rusbridge, C.; Laitinen‐Vapaavuori, O.; Hielm‐Björkman, A.; Lappalainen, A.K.; Knowler, S.P.; Jokinen, T.S.

    2017-01-01

    Background: Chiari-like malformation (CM) and syringomyelia (SM) are widely reported in Cavalier King Charles Spaniels and Griffon Bruxellois dogs. Increasing evidence indicates that CM and SM also occur in other small and toy breed dogs, such as Chihuahuas. Objectives: To describe the presence of SM and craniocervical junction (CCJ) abnormalities in Chihuahuas and to evaluate the possible association of CCJ abnormalities with SM. To describe CM/SM-related clinical signs and neuro...

  4. Syringomyelia and Craniocervical Junction Abnormalities in Chihuahuas.

    Science.gov (United States)

    Kiviranta, A-M; Rusbridge, C; Laitinen-Vapaavuori, O; Hielm-Björkman, A; Lappalainen, A K; Knowler, S P; Jokinen, T S

    2017-11-01

    Chiari-like malformation (CM) and syringomyelia (SM) are widely reported in Cavalier King Charles Spaniels and Griffon Bruxellois dogs. Increasing evidence indicates that CM and SM also occur in other small and toy breed dogs, such as Chihuahuas. To describe the presence of SM and craniocervical junction (CCJ) abnormalities in Chihuahuas and to evaluate the possible association of CCJ abnormalities with SM. To describe CM/SM-related clinical signs and neurologic deficits and to investigate the association of CM/SM-related clinical signs with signalment, SM, or CCJ abnormalities. Fifty-three client-owned Chihuahuas. Prospective study. Questionnaire analyses and physical and neurologic examinations were obtained before magnetic resonance and computed tomography imaging. Images were evaluated for the presence of SM, CM, and atlantooccipital overlapping. Additionally, medullary kinking, dorsal spinal cord compression, and their sum indices were calculated. Scratching was the most common CM/SM-related clinical sign and decreased postural reaction the most common neurologic deficit in 73 and 87% of dogs, respectively. Chiari-like malformation and SM were present in 100 and 38% of dogs, respectively. Syringomyelia was associated with the presence of CM/SM-related clinical signs (P = 0.034), and medullary kinking and sum indices were higher in dogs with clinical signs (P = 0.016 and P = 0.007, respectively). Syringomyelia and CCJ abnormalities are prevalent in Chihuahuas. Syringomyelia was an important factor for the presence of CM/SM-related clinical signs, but many dogs suffered from similar clinical signs without being affected by SM, highlighting the clinical importance of CCJ abnormalities in Chihuahuas. Copyright © 2017 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine.

  5. Syringomyelia associated with Chiari malformation in children

    International Nuclear Information System (INIS)

    Sakamoto, Hiroaki; Kitano, Shouhei; Nishikawa, Misao; Yasui, Toshihiro; Fujitani, Ken; Hakuba, Akira; Nakanishi, Naruhiko

    1997-01-01

    Among 28 patients with myelomeningocele (MMC group), the myelomeningocele in all patients was repaired shortly after birth, and a shunt was implanted for the associated hydrocephalus in 18 patients. MRI of the group of 28 indicated 20 were afflicted with Chiari II malformation, and the remaining 8 by Chiari I malformation. Among 8 patients lacking myelomeningocele (non-MMC group), seven demonstrated a large syrinx at the cervical and cervico-thoracic level; only one had a syrinx extending from the cervical level down to the lumbar level. None of these patients had hydrocephalus. Surgical decompression to improve cerebrospinal fluid (CSF) flow at the major cistern improved neurological signs in 7 patients. MRI indicated 4 patients were afflicted with Chiari I malformation, and the remaining 4 with Chiari II malformation. In the MMC group, the initial development of the syrinx at the lumbar level may be the result of a combination of occlusion of the caudal end of the central canal brought about by repair of the myelomeningocele and CSF flow into the hydromyelic cavity via the patent proximal portion of the central canal. In the non-MMC group, the syringomyelia may be considered an early onset type of syringomyelia associated with adult type Chiari malformation because the location of the syrinx was quite similar to that found in adult type Chiari malformation, and decompressive surgery was quite effective. In the non-MMC group, turbulence of the CSF now at the major cistern caused by the herniated cerebellum plays an important role in the enlargement of the syringomyelia. To offer greater appropriate management of pediatric Chiari malformation accompanied by syringomyelia, the malformation should be classified not by degree of the herniated brain tissue but by its association with neural tube defect (myelomeningocele). (K.H.)

  6. Cervical spinal canal narrowing in idiopathic syringomyelia

    International Nuclear Information System (INIS)

    Struck, Aaron F.; Carr, Carrie M.; Shah, Vinil; Hesselink, John R.; Haughton, Victor M.

    2016-01-01

    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.)

  7. 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.)

  8. 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)

  9. 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.

  10. Cutaneous Leiomyoma: Novel Histologic Findings for Classification and Diagnosis

    Directory of Open Access Journals (Sweden)

    Kambiz Kamyab Hesari

    2013-01-01

    Full Text Available Smooth muscle tumors rather benign or malignant can arise wherever the muscular tissue presents but cutaneous leiomyoma is one of the rare benign tumors of the which even the diagnostic criteria from the malignant type of the tumor is still in doubt. This study was aimed to compare the subtypes of cutaneous leiomyoma from different histologic aspects in order to find unique criteria for better classification and diagnosis. The six year data base of our center was reviewed and 25 patients with cutaneous leiomyoma were included in this study. Of 25 patients, 5 were female and 20 were male. 5 patients had angioleiomyoma (ALM and 20 had pilar leiomyoma (PLM. ALM had following characteristics: dilated vascular canals intermingled with compact smooth muscle bundles; well circumscribe counter and myxoid and hyaline changes through the tumor. In contrast, PLMs had following histologic features: poor defined outline, entrapped hair follicles and eccrine glands, acanthosis and elongated rete ridges with hyperpigmentation and smooth muscle bundles which are interdigitated with elongated rete ridges. Here we introduced some distinct histological features for each subtype of the cutaneous leiomyoma which can lead to create novel criteria for classification and diagnosis of the lesion.

  11. 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.

  12. 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.

  13. 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

  14. 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

    2018-05-01

    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.

  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. 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.

  17. 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.

  18. 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

  19. 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

  20. 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.)

  1. Spontaneous drainage in syringomyelia: magnetic resonance imaging findings

    Energy Technology Data Exchange (ETDEWEB)

    Bogdanov, E.I.; Mendelevich, E.G. [Kazan State Medical Univ. (Russian Federation). Dept. of Neurology and Rehabilitation; Ibatullin, M.M. [Republic Medical Diagnostic Centre of Tatarstan, Kazan (Russian Federation). Department of Radiology

    2000-09-01

    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.)

  2. [Haemangiomas and congenital vascular malformations: their classification and diagnosis

    NARCIS (Netherlands)

    Zweep, H.P.; Rieu, P.N.M.A.; Die, C.E. van; Boll, A.P.M.; Steijlen, P.M.; Spauwen, P.H.M.

    2002-01-01

    Mulliken and Glowacki's classification of peripheral blood- and lymph-vessel abnormalities is based on their clinical course and cellular characteristics, and is therefore clear to and readily usable by the practising physician. In order to make the diagnostic process more accessible, the

  3. X-ray diagnosis of esophageal cancer and application of Borrmann's classification

    International Nuclear Information System (INIS)

    Chin, Soo Yil

    1985-01-01

    In 126 cases and who were diagnosed as esophageal cancer and treated by radiation at Cancer Research Hospital, K. A. E. R. I., from January 1974 to July 1979, a study on the x-ray diagnosis of esophageal cancer was carried out mainly as to the type classification. The ordinary classification od esophageal cancer by x-ray picture was reviewed and Borrmann's classification using gastric cancer was tried to apply to the macroscopic classification of esophageal cancer, and also the application of this classification to x-ray diagnosis was discussed. And the effect of radiotherapy as to each type of cancer according to the ordinary x-ray classification and Borrmann's classification was studied too. The results were as follows: 1. The ordinary x-ray classification was not simple, because the degree of progression of cancer, difference of mural invasion, and position and method of radiography could make misinterpretation of the type of cancer and the therapeutic effect by radiation as to each type according to this classification did not represent a significant characteristic too, although the radiation was most effective in the polypoidal type and least effective in funnel type. 2. The Borrmann's classification was relatively easy even on the radiogram because of little overlapping between each type and the type became more evident on the resected specimen after operation. And also some correlation was recognized between the type of Borrmann's classification and radiotherapeutic effect. The effect was best in type I and It was gradually decreased in type II, III, and IV in the other. The radiotherapy was ineffective in about three quarters of type IV. 3. The Borrmann's classification is now employed to the carcinoma of large bowel, as well as to the gastric cancer. If it is applied to the esophageal cancer, the macroscopic classification for the cancer of digestive tract can be systemized and it will be convenient in clinical study.

  4. Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms

    International Nuclear Information System (INIS)

    Nakayama, Ryohei; Uchiyama, Yoshikazu; Watanabe, Ryoji; Katsuragawa, Shigehiko; Namba, Kiyoshi; Doi, Kunio

    2004-01-01

    The histological classification of clustered microcalcifications on mammograms can be difficult, and thus often require biopsy or follow-up. Our purpose in this study was to develop a computer-aided diagnosis schemefor identifying the histological classification of clustered microcalcifications on magnification mammograms in order to assist the radiologists' interpretation as a 'second opinion'. Our database consisted of 58 magnification mammograms, which included 35 malignant clustered microcalcifications (9 invasive carcinomas, 12 noninvasive carcinomas of the comedo type, and 14 noninvasive carcinomas of the noncomedo type) and 23 benign clustered microcalcifications (17 mastopathies and 6 fibroadenomas). The histological classifications of all clustered microcalcifications were proved by pathologic diagnosis. The clustered microcalcifications were first segmented by use of a novel filter bank and a thresholding technique. Five objective features on clustered microcalcifications were determined by taking into account subjective features that experienced the radiologists commonly use to identify possible histological classifications. The Bayes decision rule with five objective features was employed for distinguishing between five histological classifications. The classification accuracies for distinguishing between three malignant histological classifications were 77.8% (7/9) for invasive carcinoma, 75.0% (9/12) for noninvasive carcinoma of the comedo type, and 92.9% (13/14) for noninvasive carcinoma of the noncomedo type. The classification accuracies for distinguishing between two benign histological classifications were 94.1% (16/17) for mastopathy, and 100.0% (6/6) for fibroadenoma. This computerized method would be useful in assisting radiologists in their assessments of clustered microcalcifications

  5. 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....

  6. 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.

  7. Refinement of diagnosis and disease classification in psychiatry.

    Science.gov (United States)

    Lecrubier, Yves

    2008-03-01

    Knowledge concerning the classification of mental disorders progressed substantially with the use of DSM III-IV and IDCD 10 because it was based on observed data, with precise definitions. These classifications a priori avoided to generate definitions related to etiology or treatment response. They are based on a categorical approach where diagnostic entities share common phenomenological features. Modifications proposed or discussed are related to the weak validity of the classification strategy described above. (a) Disorders are supposed to be independent but the current coexistence of two or more disorders is the rule; (b) They also are supposed to have stability, however anxiety disorders most of the time precede major depression. For GAD age at onset, family history, biology and symptomatology are close to those of depression. As a consequence broader entities such as depression-GAD spectrum, panic-phobias spectrum and OCD spectrum including eating disorders and pathological gambling are taken into consideration; (c) Diagnostic categories use thresholds to delimitate a border with normals. This creates "subthreshold" conditions. The relevance of such conditions is well documented. Measuring the presence and severity of different dimensions, independent from a threshold, will improve the relevance of the description of patients pathology. In addition, this dimensional approach will improve the problems posed by the mutually exclusive diagnoses (depression and GAD, schizophrenia and depression); (d) Some disorders are based on the coexistence of different dimensions. Patients may present only one set of symptoms and have different characteristics, evolution and response to treatment. An example would be negative symptoms in Schizophrenia; (e) Because no etiological model is available and most measures are subjective, objective measures (cognitive, biological) and genetics progresses created important hopes. None of these measures is pathognomonic and most appear

  8. 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.

  9. Value of multi-slice CT in the classification diagnosis of hilar cholangiocarcinoma

    International Nuclear Information System (INIS)

    Qian Yi; Zeng Mengsu; Ling Zhiqing; Rao Shengxiang; Liu Yalan

    2008-01-01

    Objective: To evaluate the value of multi-slice CT (MSCT) classification in the assessment of the hilar cholangiocarcinoma resectability. Methods: Thirty patients with surgically and histopathologically proved hilar cholangiocarcinomas who underwent preoperative MSCT and were diagnosed correctly were included in present study. Transverse images and reconstructed MPR images were reviewed for Bismuth-Corlette classification and morphological classification of hilar cholangiocarcinoma. Then MSCT classification was compared with findings of surgery and histopathology. Curative resectabilty of different types according to Bismuth-Corlette classification and morphological classification were analyzed with chi-square test. Results: In 30 cases, the numbers of Type I, II, IIIa, IIIb and IV according to Bismuth-Corlette classification were 1, 3, 4, 5 and 17. Seventeen patients underwent curative resections, among which 1, 2, 1, 4 and 9 belonged to Type I, II, IIIa, IIIb and IV respectively. However, there was no significant difference in curative resectability among different types of Bismuth-Corlette classification (χ 2 = 0.9875, P>0.05). In present study, the accuracy of MSCT in Bismuth-Corlette classification reached 86.7% (26/30). The numbers of periductal infiltrating, mass forming and intraductal growing type were 13, 13 and 4, while 6, 8 and 3 cases of each type underwent curative resections. There was no significant difference in curative resectability among different types of morphological classification (χ 2 =1.2583, P>0.05). The accuracy of MSCT in morphological classification was 100% (30/30) in this study group. Conclusion: MSCT can make accurate diagnosis of Bismuth-Corlette classification and morphological classification, which is helpful in preoperative respectability assessment of hilar cholangiocarcinoma. (authors)

  10. Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis

    Science.gov (United States)

    Itoh, Hayato; Mori, Yuichi; Misawa, Masashi; Oda, Masahiro; Kudo, Shin-ei; Mori, Kensaku

    2018-02-01

    This paper presents a new classification method for endocytoscopic images. Endocytoscopy is a new endoscope that enables us to perform conventional endoscopic observation and ultramagnified observation of cell level. This ultramagnified views (endocytoscopic images) make possible to perform pathological diagnosis only on endo-scopic views of polyps during colonoscopy. However, endocytoscopic image diagnosis requires higher experiences for physicians. An automated pathological diagnosis system is required to prevent the overlooking of neoplastic lesions in endocytoscopy. For this purpose, we propose a new automated endocytoscopic image classification method that classifies neoplastic and non-neoplastic endocytoscopic images. This method consists of two classification steps. At the first step, we classify an input image by support vector machine. We forward the image to the second step if the confidence of the first classification is low. At the second step, we classify the forwarded image by convolutional neural network. We reject the input image if the confidence of the second classification is also low. We experimentally evaluate the classification performance of the proposed method. In this experiment, we use about 16,000 and 4,000 colorectal endocytoscopic images as training and test data, respectively. The results show that the proposed method achieves high sensitivity 93.4% with small rejection rate 9.3% even for difficult test data.

  11. 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.

  12. 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

  13. 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.

  14. Diagnosis and classification of Addison's disease (autoimmune adrenalitis).

    Science.gov (United States)

    Brandão Neto, Rodrigo Antonio; de Carvalho, Jozélio Freire

    2014-01-01

    Autoimmune adrenalitis, or autoimmune Addison disease (AAD), is the most prevalent cause of primary adrenal insufficiency in the developed world. AAD is rare and can easily be misdiagnosed as other conditions. The diagnosis depends on demonstrating inappropriately low cortisol production and the presence of high titers of adrenal cortex autoantibodies (ACAs), along with excluding other causes of adrenal failure using other tests as necessary. The treatment corticosteroid replacement, and the prognosis following the treatment is the same as the normal population. Spontaneous recovery of adrenal function has been described but is rare. Copyright © 2014 Elsevier B.V. All rights reserved.

  15. Diagnosis and classification of celiac disease and gluten sensitivity.

    Science.gov (United States)

    Tonutti, Elio; Bizzaro, Nicola

    2014-01-01

    Celiac disease is a complex disorder, the development of which is controlled by a combination of genetic (HLA alleles) and environmental (gluten ingestion) factors. New diagnostic guidelines developed by ESPGHAN emphasize the crucial role of serological tests in the diagnostic process of symptomatic subjects, and of the detection of HLA DQ2/DQ8 alleles in defining a diagnosis in asymptomatic subjects belonging to at-risk groups. The serological diagnosis of CD is based on the detection of class IgA anti-tissue transglutaminase (anti-tTG) and anti-endomysial antibodies. In patients with IgA deficiency, anti-tTG or anti-deamidated gliadin peptide antibody assays of the IgG class are used. When anti-tTG antibody levels are very high, antibody specificity is absolute and CD can be diagnosed without performing a duodenum biopsy. Non-celiac gluten sensitivity is a gluten reaction in which both allergic and autoimmune mechanisms have been ruled out. Diagnostic criteria include the presence of symptoms similar to those of celiac or allergic patients; negative allergological tests and absence of anti-tTG and EMA antibodies; normal duodenal histology; evidence of disappearance of the symptoms with a gluten-free diet; relapse of the symptoms when gluten is reintroduced. Copyright © 2014 Elsevier B.V. All rights reserved.

  16. 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.

  17. 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.

  18. Diagnosis and classification of Goodpasture's disease (anti-GBM).

    Science.gov (United States)

    Hellmark, Thomas; Segelmark, Mårten

    2014-01-01

    Goodpasture's disease or anti-glomerular basement membrane disease (anti-GBM-disease) is included among immune complex small vessel vasculitides. The definition of anti-GBM disease is a vasculitis affecting glomerular capillaries, pulmonary capillaries, or both, with GBM deposition of anti-GBM autoantibodies. The disease is a prototype of autoimmune disease, where the patients develop autoantibodies that bind to the basement membranes and activate the classical pathway of the complement system, which start a neutrophil dependent inflammation. The diagnosis of anti-GBM disease relies on the detection of anti-GBM antibodies in conjunction with glomerulonephritis and/or alveolitis. Overt clinical symptoms are most prominent in the glomeruli where the inflammation usually results in a severe rapidly progressive glomerulonephritis. Despite modern treatment less than one third of the patients survive with a preserved kidney function after 6 months follow-up. Frequencies vary from 0.5 to 1 cases per million inhabitants per year and there is a strong genetic linkage to HLA-DRB1(∗)1501 and DRB1(∗)1502. Essentially, anti-GBM disease is now a preferred term for what was earlier called Goodpasture's syndrome or Goodpasture's disease; anti-GBM disease is now classified as small vessel vasculitis caused by in situ immune complex formation; the diagnosis relies on the detection of anti-GBM in tissues or circulation in conjunction with alveolar or glomerular disease; therapy is effective only when detected at an early stage, making a high degree of awareness necessary to find these rare cases; 20-35% have anti-GBM and MPO-ANCA simultaneously, which necessitates testing for anti-GBM whenever acute test for ANCA is ordered in patients with renal disease. Copyright © 2014 Elsevier Ltd. All rights reserved.

  19. 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)

  20. 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.

  1. 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.

  2. 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

  3. Symptomatic arrhythmias due to syringomyelia-induced severe autonomic dysfunction.

    Science.gov (United States)

    Riedlbauchová, Lucie; Nedělka, Tomáš; Schlenker, Jakub

    2014-10-01

    Syringomyelia is characterized by cavity formation in the spinal cord, most often at C2-Th9 level. Clinical manifestation reflects extent and localization of the spinal cord injury. 20-year old woman was admitted for recurrent rest-related presyncopes with sudden manifestation. Paroxysms of sinus bradycardia with SA and AV blocks were repeatedly documented during symptoms. There was normal echocardiographic finding, (para) infectious etiology was not proved. Character of the ECG findings raised suspicion on neurogenic cause. Autonomic nervous system testing demonstrated abnormalities reflecting predominant sympathetic dysfunction. Suspicion on incipient myelopathy was subsequently confirmed by MRI, which discovered syringomyelia at Th5 level as the only pathology. A 52-year old man with hypotrophic quadruparesis resulting from perinatal brain injury was sent for 2-years lasting symptoms (sudden palpitation, sweating, muscle tightness, shaking) with progressive worsening. Symptoms occurred in association with sudden increase of sinus rhythm rate and blood pressure that were provoked by minimal physical activity. Presence of significant autonomic dysregulation with baroreflex hyperreactivity in orthostatic test and symptomatic postural orthostatic tachycardia with verticalization-associated hypertension were proved. MRI revealed syringomyelia at C7 and Th7 level affecting sympathetic centers at these levels. Sympathetic fibers dysfunction at C-Th spinal level may cause significant autonomic dysfunction with arrhythmic manifestation.

  4. Equilibrium disorders in elderly: diagnostic classification and differential diagnosis

    Directory of Open Access Journals (Sweden)

    Alessandro Castiglione

    2013-04-01

    Full Text Available Background: Balance is primarily related to the proper functioning of three sensory input: vestibular, visual and proprioceptive. The integration of these different afferences contributes to the proper attitude of the body in static and dynamic conditions. Equilibrium disorders are common among elderly patients and are responsible for falls and fractures, leading sometimes to catastrophic outcomes, representing a serious health and social problem. Approximately one third of elderly patients at home and about 50% of institutionalized, over 75 year-old, suffer from this particular condition, with at least one fall a year and almost 50% of these with recurrent episodes. Females are more affected than males. Attempts to ascertain the underlying cause of unbalance should be done, leading then to specific treatment. Nevertheless, many elderly patients do not have a single disease but rather a multitude of medical conditions which may cause dizziness, imbalance and vertigo: effects of ageing, drugs, cardiovascular and neurological disorders, ocular and orthopaedic diseases. Aim of the study: A literature review was carried out with the intention to offer practical and useful notions for the management and treatment of equilibrium disorders. Discussion: In clinical practice, the main challenge is to distinguish between peripheral and central imbalance disorders. The data collected from history and clinical exams should be integrated with the intent to include the patient in one of the following clinical conditions: vertiginous syndrome, pre-syncope and/or syncope, neurological diseases, other conditions.Conclusions: Following the differential diagnosis, treatment mainly consists in drug administration (antiemetic and vestibular suppressor drugs and vestibular rehabilitation (physiotherapy and vestibular exercises.

  5. 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...

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. new aspects on epidemiology, classification, differential diagnosis and therapy of recurrent vertigo disorders

    OpenAIRE

    Radtke, Andrea

    2012-01-01

    This work presents new data on the epidemiology, classification, differential diagnosis and therapy of recurrent vestibular vertigo disorders: M. Menière, vestibular migraine and benign paroxysmal positional vertigo (BPPV). Epidemiological assessment of a nationwide, representative sample of the German adult population by means of a neurotological telephone interview revealed a low lifetime prevalence of Menière’s disease of less than 0.12% when the diagnostic criteria of the American Aca...

  11. Semi-Supervised Classification for Fault Diagnosis in Nuclear Power Plants

    International Nuclear Information System (INIS)

    Ma, Jian Ping; Jiang, Jin

    2014-01-01

    Pattern classification methods have become important tools for fault diagnosis in industrial systems. However, it is normally difficult to obtain reliable labeled data to train a supervised pattern classification model for applications in a nuclear power plant (NPP). However, unlabeled data easily become available through increased deployment of supervisory, control, and data acquisition (SCADA) systems. In this paper, a fault diagnosis scheme based on semi-supervised classification (SSC) method is developed with specific applications for NPP. In this scheme, newly measured plant data are treated as unlabeled data. They are integrated with selected labeled data to train a SSC model which is then used to estimate labels of the new data. Compared to exclusive supervised approaches, the proposed scheme requires significantly less number of labeled data to train a classifier. Furthermore, it is shown that higher degree of uncertainties in the labeled data can be tolerated. The developed scheme has been validated using the data generated from a desktop NPP simulator and also from a physical NPP simulator using a graph-based SSC algorithm. Two case studies have been used in the validation process. In the first case study, three faults have been simulated on the desktop simulator. These faults have all been classified successfully with only four labeled data points per fault case. In the second case, six types of fault are simulated on the physical NPP simulator. All faults have been successfully diagnosed. The results have demonstrated that SSC is a promising tool for fault diagnosis

  12. 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.

  13. Subarachnoid pouches of the posterior fossa with syringomyelia

    Energy Technology Data Exchange (ETDEWEB)

    Williams, B [Midland Centre for Neurosurgery and Neurology, Smethwick (UK)

    1979-01-01

    Three men are presented, all of whom were born with difficulty and later developed severe syringomyelia with collapsing cords on air myelography. Each had hydrocephalus and a sizable subarachnoid pouch in the posterior fossa. The clinical features and investigations are presented with a discussion of the aetiology and possible mechanisms concerned in pathogenesis and treatment. All three men had posterior fossa exploration over fifty years after birth, and the first two were also treated by valved ventriculo-atrial shunts. Each patient has improved a little since operation, but no certainly that this was due to surgery has been proved in any case; none has progressed since the last operation.

  14. 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.

  15. Post-traumatic syringomyelia: CSF hydrodynamic changes following spinal cord injury are the driving force in the development of PTSM.

    Science.gov (United States)

    Shields, Christopher B; Zhang, Yi Ping; Shields, Lisa B E

    2012-01-01

    Post-traumatic syringomyelia (PTSM) is a disorder that occurs infrequently following spinal cord injury (SCI), characterized by progressive neurological deterioration resulting from syrinx expansion originating in proximity to the traumatic epicenter. Several pathogenetic factors are associated with this disorder, however, the precise mechanism of the development of PTSM is controversial. Combined anatomical alterations and molecular changes following trauma to the spinal cord and arachnoid participate in the development of this condition. These factors include narrowing or obstruction of the subarachnoid space (SAS), central canal occlusion, myelomalacia, and alterations in intramedullary water permeability. If a patient sustains a SCI with delayed progressive deterioration in neurological function, in association with the MRI appearance of syringomyelia (SM), the diagnosis of PTSM is straightforward. The treatment of PTSM has not undergone any significant changes recently. The surgical treatment of PTSM consists of reconstructing the SAS or shunting fluid away from the syrinx to other locations. The advantages and disadvantages of each procedure will be discussed. With greater understanding of the mechanisms contributing to the development of SM, including advanced diagnostic methods and further advances in the development of artificial dural and shunting tubing, future therapies of PTSM will be more effective and long-lasting. Incorporation of alterations of AQP4 expression provides an intriguing possibility for future treatment of PTSM. Copyright © 2012 Elsevier B.V. All rights reserved.

  16. Comparison of clinical causes of death with autopsy diagnosis using discrepency classification.

    Science.gov (United States)

    Ullah, Khalil; Alamgir, Wasim

    2006-12-01

    To determine the usefulness of autopsy findings in the quality improvement of patients care. An observational study. Departments of Pathology and Medicine, Combined Military Hospital (CMH) Kharian, a tertiary care hospital, from January 2001 to December 2003. 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. This study showed the usefulness of autopsy findings in the quality improvement of the diagnosis and management of the disease by showing only a minority of cases with discrepant diagnosis of the cause of death.

  17. 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)

  18. Hydrodynamic study of syringomyelia by MRI and intraoperative ultrasonography

    International Nuclear Information System (INIS)

    Moritake, Kouzo; Takaya, Mikio; Minamikawa, Jun; Ishikawa, Masatsune; Kikuchi, Haruhiko; Minami, Shunsuke

    1989-01-01

    Syringomyelic cavities were studied with magnetic resonance imaging (MRI) in eleven patients with special reference to the hemodynamic contribution to the pathogenesis of syringomyelia. They were also studied intraoperatively with ultrasonography (USG) in five patients. Syrinx cavities combined with lumbosacral lipomyelomeningocele or with spinal stenosis did not present a flow-void phenomenon reflecting pulsatile movements of syrinx fluid. On serial MRI study in those the patients, enlargement of the syrinx cavity was not observed. Syrinx cavities occupying the caudal part of the spinal cord did not develop either. These cases were not treated surgically but followed conservatively. On the other hand, the flow-void sign in the syrinx cavities was present on MRI in patients who also had Chiari type I or type II malformations. They were treated with a syringo-subarachnoid shunt. In these cases, intraoperative USG disclosed marked fluctuation of syrinx cavity size synchronous with the motions of pulmonary ventilation. In all of them, clinical signs and symptoms improved postoperatively to various degrees. These results suggest that both the flow-void sign in the syrinx cavity on MRI and marked fluctaution of cavity size on intraoperative USG are indications for the shunt operation and support William's revised theory (1987). Fluctuation of cystic cavity size synchronous with ventilation suggests that venous pressure in the spinal subarachnoid space contributes to the pathogenesis of syringomyelic cavities. Further analysis of the fluctuation of cystic cavities by video monitoring will provide further information on the etiology and other clinical problems of syringomyelia. (author)

  19. 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.

  20. 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.

  1. 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.

  2. Appendectomy and diagnosis-related groups (DRGs): patient classification and hospital reimbursement in 11 European countries.

    Science.gov (United States)

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

    2012-02-01

    As part of the EuroDRG project, researchers from 11 countries (i.e., Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Sweden, and Spain) compared how their diagnosis-related groups (DRG) systems deal with appendectomy patients. The study aims to assist surgeons and national authorities to optimize their DRG systems. National or regional databases were used to identify hospital cases with a diagnosis of appendicitis treated with a procedure of appendectomy. DRG classification algorithms and indicators of resource consumption were compared for those DRGs that together comprised at least 97% of cases. Six standardized case vignettes were defined, and quasi prices according to national DRG-based hospital payment systems were ascertained. European DRG systems vary widely: they classify appendectomy patients according to different sets of variables (between two and six classification variables) into diverging numbers of DRGs (between two and 11 DRGs). The most complex DRG is valued 5.1 times more resource intensive than an index case in France but only 1.1 times more resource intensive than an index case in Finland. Comparisons of quasi prices for the case vignettes show that hypothetical payments for the most complex case vignette amount to only 1,005 in Poland but to 12,304 in France. Large variations in the classification of appendectomy patients raise concerns whether all systems rely on the most appropriate classification variables. Surgeons and national DRG authorities should consider how other countries' DRG systems classify appendectomy patients in order to optimize their DRG system and to ensure fair and appropriate reimbursement.

  3. 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.

  4. Congenital neutropenia in the era of genomics: classification, diagnosis, and natural history.

    Science.gov (United States)

    Donadieu, Jean; Beaupain, Blandine; Fenneteau, Odile; Bellanné-Chantelot, Christine

    2017-11-01

    This review focuses on the classification, diagnosis and natural history of congenital neutropenia (CN). CN encompasses a number of genetic disorders with chronic neutropenia and, for some, affecting other organ systems, such as the pancreas, central nervous system, heart, bone and skin. To date, 24 distinct genes have been associated with CN. The number of genes involved makes gene screening difficult. This can be solved by next-generation sequencing (NGS) of targeted gene panels. One of the major complications of CN is spontaneous leukaemia, which is preceded by clonal somatic evolution, and can be screened by a targeted NGS panel focused on somatic events. © 2017 John Wiley & Sons Ltd.

  5. 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

  6. 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.

  7. Direct costs of emergency medical care: a diagnosis-based case-mix classification system.

    Science.gov (United States)

    Baraff, L J; Cameron, J M; Sekhon, R

    1991-01-01

    To develop a diagnosis-based case mix classification system for emergency department patient visits based on direct costs of care designed for an outpatient setting. Prospective provider time study with collection of financial data from each hospital's accounts receivable system and medical information, including discharge diagnosis, from hospital medical records. Three community hospital EDs in Los Angeles County during selected times in 1984. Only direct costs of care were included: health care provider time, ED management and clerical personnel excluding registration, nonlabor ED expense including supplies, and ancillary hospital services. Indirect costs for hospitals and physicians, including depreciation and amortization, debt service, utilities, malpractice insurance, administration, billing, registration, and medical records were not included. Costs were derived by valuing provider time based on a formula using annual income or salary and fringe benefits, productivity and direct care factors, and using hospital direct cost to charge ratios. Physician costs were based on a national study of emergency physician income and excluded practice costs. Patients were classified into one of 216 emergency department groups (EDGs) on the basis of the discharge diagnosis, patient disposition, age, and the presence of a limited number of physician procedures. Total mean direct costs ranged from $23 for follow-up visit to $936 for trauma, admitted, with critical care procedure. The mean total direct costs for the 16,771 nonadmitted patients was $69. Of this, 34% was for ED costs, 45% was for ancillary service costs, and 21% was for physician costs. The mean total direct costs for the 1,955 admitted patients was $259. Of this, 23% was for ED costs, 63% was for ancillary service costs, and 14% was for physician costs. Laboratory and radiographic services accounted for approximately 85% of all ancillary service costs and 38% of total direct costs for nonadmitted patients

  8. Automated image processing method for the diagnosis and classification of malaria on thin blood smears.

    Science.gov (United States)

    Ross, Nicholas E; Pritchard, Charles J; Rubin, David M; Dusé, Adriano G

    2006-05-01

    Malaria is a serious global health problem, and rapid, accurate diagnosis is required to control the disease. An image processing algorithm to automate the diagnosis of malaria on thin blood smears is developed. The image classification system is designed to positively identify malaria parasites present in thin blood smears, and differentiate the species of malaria. Images are acquired using a charge-coupled device camera connected to a light microscope. Morphological and novel threshold selection techniques are used to identify erythrocytes (red blood cells) and possible parasites present on microscopic slides. Image features based on colour, texture and the geometry of the cells and parasites are generated, as well as features that make use of a priori knowledge of the classification problem and mimic features used by human technicians. A two-stage tree classifier using backpropogation feedforward neural networks distinguishes between true and false positives, and then diagnoses the species (Plasmodium falciparum, P. vivax, P. ovale or P. malariae) of the infection. Malaria samples obtained from the Department of Clinical Microbiology and Infectious Diseases at the University of the Witwatersrand Medical School are used for training and testing of the system. Infected erythrocytes are positively identified with a sensitivity of 85% and a positive predictive value (PPV) of 81%, which makes the method highly sensitive at diagnosing a complete sample provided many views are analysed. Species were correctly determined for 11 out of 15 samples.

  9. Diagnosis and classification of pancreatic and duodenal injuries in emergency radiology.

    Science.gov (United States)

    Linsenmaier, Ulrich; Wirth, Stefan; Reiser, Maximilian; Körner, Markus

    2008-10-01

    Pancreatic and duodenal injuries after blunt abdominal trauma are rare; however, delays in diagnosis and treatment can significantly increase morbidity and mortality. Multidetector computed tomography (CT) has a major role in early diagnosis of pancreatic and duodenal injuries. Detecting the often subtle signs of injury with whole-body CT can be difficult because this technique usually does not include a dedicated protocol for scanning the pancreas. Specific injury patterns in the pancreas and duodenum often have variable expression at early posttraumatic multidetector CT: They may be hardly visible, or there may be considerable exudate, hematomas, organ ruptures, or active bleeding. An accurate multidetector CT technique allows optimized detection of subtle abnormalities. In duodenal injuries, differentiation between a contusion of the duodenal wall or mural hematoma and a duodenal perforation is vital. In pancreatic injuries, determination of involvement of the pancreatic duct is essential. The latter conditions require immediate surgical intervention. Use of organ injury scales and a surgical classification adapted for multidetector CT enables classification of organ injuries for trauma scoring, treatment planning, and outcome control. In addition, multidetector CT reliably demonstrates potential complications of duodenal and pancreatic injuries, such as posttraumatic pancreatitis, pseudocysts, fistulas, exudates, and abscesses. (c) RSNA, 2008.

  10. Mixed-phenotype acute leukemia: state-of-the-art of the diagnosis, classification and treatment.

    Science.gov (United States)

    Cernan, Martin; Szotkowski, Tomas; Pikalova, Zuzana

    2017-09-01

    Mixed-phenotype acute leukemia (MPAL) is a heterogeneous group of hematopoietic malignancies in which blasts show markers of multiple developmental lineages and cannot be clearly classified as acute myeloid or lymphoblastic leukemias. Historically, various names and classifications were used for this rare entity accounting for 2-5% of all acute leukemias depending on the diagnostic criterias used. The currently valid classification of myeloid neoplasms and acute leukemia published by the World Health Organization (WHO) in 2016 refers to this group of diseases as MPAL. Because adverse cytogenetic abnormalities are frequently present, MPAL is generally considered a disease with a poor prognosis. Knowledge of its treatment is limited to retrospective analyses of small patient cohorts. So far, no treatment recommendations verified by prospective studies have been published. The reported data suggest that induction therapy for acute lymphoblastic leukemia followed by allogeneic hematopoietic cell transplantation is more effective than induction therapy for acute myeloid leukemia or consolidation chemotherapy. The establishment of cooperative groups and international registries based on the recent WHO criterias are required to ensure further progress in understanding and treatment of MPAL. This review summarizes current knowledge on the diagnosis, classification, prognosis and treatment of MPAL patients.

  11. Cholecystectomy and Diagnosis-Related Groups (DRGs: Patient Classification and Hospital Reimbursement in 11 European Countries

    Directory of Open Access Journals (Sweden)

    Gerli Paat-Ahi

    2014-12-01

    Full Text Available Background As part of the EuroDRG project, researchers from eleven countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Sweden, and Spain compared how their Diagnosis-Related Groups (DRG systems deal with cholecystectomy patients. The study aims to assist surgeons and national authorities to optimize their DRG systems. Methods National or regional databases were used to identify hospital cases with a procedure of cholecystectomy. DRG classification algorithms and indicators of resource consumption were compared for those DRGs that individually contained at least 1% of cases. Six standardised case vignettes were defined, and quasi prices according to national DRG-based hospital payment systems were ascertained and compared to an index case. Results European DRG systems vary widely: they classify cholecystectomy patients according to different sets of variables into diverging numbers of DRGs (between two DRGs in Austria and Poland to nine DRGs in England. The most complex DRG is valued at four times more resource intensive than the index case in Ireland but only 1.3 times more resource intensive than the index case in Austria. Conclusion Large variations in the classification of cholecystectomy patients raise concerns whether all systems rely on the most appropriate classification variables. Surgeons, hospital managers and national DRG authorities should consider how other countries’ DRG systems classify cholecystectomy patients in order to optimize their DRG systems and to ensure fair and appropriate reimbursement.

  12. Cholecystectomy and Diagnosis-Related Groups (DRGs): patient classification and hospital reimbursement in 11 European countries.

    Science.gov (United States)

    Paat-Ahi, Gerli; Aaviksoo, Ain; Swiderek, Maria

    2014-12-01

    As part of the EuroDRG project, researchers from eleven countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Sweden, and Spain) compared how their Diagnosis-Related Groups (DRG) systems deal with cholecystectomy patients. The study aims to assist surgeons and national authorities to optimize their DRG systems. National or regional databases were used to identify hospital cases with a procedure of cholecystectomy. DRG classification algorithms and indicators of resource consumption were compared for those DRGs that individually contained at least 1% of cases. Six standardised case vignettes were defined, and quasi prices according to national DRG-based hospital payment systems were ascertained and compared to an index case. European DRG systems vary widely: they classify cholecystectomy patients according to different sets of variables into diverging numbers of DRGs (between two DRGs in Austria and Poland to nine DRGs in England). The most complex DRG is valued at four times more resource intensive than the index case in Ireland but only 1.3 times more resource intensive than the index case in Austria. Large variations in the classification of cholecystectomy patients raise concerns whether all systems rely on the most appropriate classification variables. Surgeons, hospital managers and national DRG authorities should consider how other countries' DRG systems classify cholecystectomy patients in order to optimize their DRG systems and to ensure fair and appropriate reimbursement.

  13. Diagnosis-related groups for stroke in Europe: patient classification and hospital reimbursement in 11 countries.

    Science.gov (United States)

    Peltola, Mikko; Quentin, Wilm

    2013-01-01

    Diagnosis-related groups (DRGs) are increasingly being used for various purposes in many countries. However, there are no studies comparing different DRG systems in the care of stroke. As part of the EuroDRG project, researchers from 11 countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, the Netherlands, Poland, Sweden and Spain) compared how their DRG systems deal with stroke patients. The study aims to assist clinicians and national authorities to optimize their DRG systems. National or regional databases were used to identify hospital cases with a diagnosis of stroke. DRG classification algorithms and indicators of resource consumption were compared for those DRGs that individually represent at least 1% of stroke cases. In addition, standardized case vignettes were defined, and quasi prices according to national DRG-based hospital payment systems were ascertained. European DRG systems vary widely: they classify stroke patients according to different sets of variables (between 1 and 7 classification variables) into diverging numbers of DRGs (between 1 and 10 DRGs). In 6 of the countries more than half of the patients are concentrated within a single DRG. The countries' systems also vary with respect to the evaluation of different kinds of stroke patients. The most complex DRG is considered 3.8 times more resource intensive than an index case in Finland. By contrast, in England, the DRG system does not account for complex cases. Comparisons of quasi prices for the case vignettes show that hypothetical payments for the index case amount to only EUR 907 in Poland but to EUR 7,881 in Ireland. Large variations in the classification of stroke patients raise concerns whether all systems rely on the most appropriate classification variables and whether the DRGs adequately reflect differences in the complexity of treating different groups of patients. Learning from other DRG systems may help in improving the national systems. Clinicians and

  14. Scoliosis and Syringomyelia With Chiari Malformation After Lumbar Shunting

    Directory of Open Access Journals (Sweden)

    Hsin-Hung Chen

    2010-07-01

    Full Text Available Unsteady gait was noted in a 2-year-old boy with a lumboperitoneal (LP shunt that had been inserted 1 year earlier for increased head circumference caused by communicating hydrocephalus. Scoliosis was also noted during postoperative follow-up. Magnetic resonance imaging revealed new hindbrain tonsillar herniation and an extensive syrinx from C3 to L1. The malfunctioning LP shunt was removed and posterior fossa decompression with ventriculoperitoneal shunt insertion was performed. The unsteady gait recovered completely and scoliosis improved. Magnetic resonance imaging demonstrated resolution of the syrinx and tonsillar herniation. Acquired Chiari I malformation after LP shunt is well documented; usually, patients have no symptoms. This is the first report to have all the cause and effect mechanisms among syringomyelia, scoliosis and Chiari I malformation in 1 patient. We review the literature and discuss the possible mechanisms.

  15. Clinical and neuroradiological features of syringomyelia associated with Chiari malformation

    Energy Technology Data Exchange (ETDEWEB)

    Isu, Toyohiko; Iwasaki, Yoshinobu; Akino, Minoru; Abe, Hiroshi; Tashiro, Kunio; Sudo, Kazumasa; Miyasaka, Kazuo [Hokkaido Univ., Sapporo (Japan). School of Medicine; Saito, Hisatoshi

    1990-01-01

    The clinical presentation and radiological features were analyzed in 30 cases of syringomyelia associated with Chiari malformation. None of the patients had spinal dysraphism. The age on admission ranged from 6 to 59 years with a mean of 27 years. Syringomyelia was diagnosed by CT myelography and or MRI from 1982 to 1988. The initial symptoms were skeletal abnormality (43%) such as scolisis (12 cases) or pescavus (one case), unilateral pain or numbness (40%) and unilateral motor weakness (17%). Frequently seen signs on admission were sensory deficit (100%), scoliosis (57%), muscle weakness (57%), muscle atrophy (37%) and lower cranial nerve palsy (40%). The neurological findings were asymmetrical in all patients. The characteristic neurological findings in the cases presenting under 20 years of age were unilateral sensory and motor deficits (61%) with decreased or absent deep tendon reflex on the same side. The localization of the syrinx in axial section varied according to the level even in the same case. In 15 cases with unilateral sensory disturbance or unilateral sensory and motor deficit, the syrinx was located in the region corresponding to the posterolateral portion on the same side as that of sensory disturbance in the cervical or thoracic level. On the other hand, in 15 cases with bilateral sensory and motor deficit, the syrinx was located in the central portion and extended into the posterolateral portion of the more affected side. The authors think that the syrinx which originates from the unilateral posterolateral portion, extends to involve the gray matter around the central canal and the posterolateral portion of the other side with progression of the syrinx to cause bilateral disturbance. As a result, unilateral neurological symptoms also become bilateral with progression of the syrinx. (author).

  16. Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience.

    Science.gov (United States)

    Komeda, Yoriaki; Handa, Hisashi; Watanabe, Tomohiro; Nomura, Takanobu; Kitahashi, Misaki; Sakurai, Toshiharu; Okamoto, Ayana; Minami, Tomohiro; Kono, Masashi; Arizumi, Tadaaki; Takenaka, Mamoru; Hagiwara, Satoru; Matsui, Shigenaga; Nishida, Naoshi; Kashida, Hiroshi; Kudo, Masatoshi

    2017-01-01

    Computer-aided diagnosis (CAD) is becoming a next-generation tool for the diagnosis of human disease. CAD for colon polyps has been suggested as a particularly useful tool for trainee colonoscopists, as the use of a CAD system avoids the complications associated with endoscopic resections. In addition to conventional CAD, a convolutional neural network (CNN) system utilizing artificial intelligence (AI) has been developing rapidly over the past 5 years. We attempted to generate a unique CNN-CAD system with an AI function that studied endoscopic images extracted from movies obtained with colonoscopes used in routine examinations. Here, we report our preliminary results of this novel CNN-CAD system for the diagnosis of colon polyps. A total of 1,200 images from cases of colonoscopy performed between January 2010 and December 2016 at Kindai University Hospital were used. These images were extracted from the video of actual endoscopic examinations. Additional video images from 10 cases of unlearned processes were retrospectively assessed in a pilot study. They were simply diagnosed as either an adenomatous or nonadenomatous polyp. The number of images used by AI to learn to distinguish adenomatous from nonadenomatous was 1,200:600. These images were extracted from the videos of actual endoscopic examinations. The size of each image was adjusted to 256 × 256 pixels. A 10-hold cross-validation was carried out. The accuracy of the 10-hold cross-validation is 0.751, where the accuracy is the ratio of the number of correct answers over the number of all the answers produced by the CNN. The decisions by the CNN were correct in 7 of 10 cases. A CNN-CAD system using routine colonoscopy might be useful for the rapid diagnosis of colorectal polyp classification. Further prospective studies in an in vivo setting are required to confirm the effectiveness of a CNN-CAD system in routine colonoscopy. © 2017 S. Karger AG, Basel.

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

    Energy Technology Data Exchange (ETDEWEB)

    Matsuo, T; Tomonaga, M; Ichimaru, M; Kamata, N; Kuramoto, A

    1984-11-01

    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 incidence of acute leukemia decreased slightly among A-bomb survivors in Hiroshima; however, the incidence 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. 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 developing among A-bomb survivors. (Namekawa, K.).

  18. 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.)

  19. Vaginismus: a review of the literature on the classification/diagnosis, etiology and treatment.

    Science.gov (United States)

    Lahaie, Marie-André; Boyer, Stéphanie C; Amsel, Rhonda; Khalifé, Samir; Binik, Yitzchak M

    2010-09-01

    Vaginismus is currently defined as an involuntary vaginal muscle spasm interfering with sexual intercourse that is relatively easy to diagnose and treat. As a result, there has been a lack of research interest with very few well-controlled diagnostic, etiological or treatment outcome studies. Interestingly, the few empirical studies that have been conducted on vaginismus do not support the view that it is easily diagnosed or treated and have shed little light on potential etiology. A review of the literature on the classification/diagnosis, etiology and treatment of vaginismus will be presented with a focus on the latest empirical findings. This article suggests that vaginismus cannot be easily differentiated from dyspareunia and should be treated from a multidisciplinary point of view.

  20. Current Approaches to Diagnosis and Classification Features of Neuroosteoarthropathy Charcot (literature review

    Directory of Open Access Journals (Sweden)

    Balatiuk Irina

    2016-12-01

    Full Text Available The article provides the analysis of the publications of domestic and foreign authors on such complication of diabetes as diabetic Charcot osteoarthropathy. It formulates modern domestic classification of diabetic foot syndrome. It has been stated that diabetic foot syndrome is a serious medical and social problem, due to the high level of disability of patients, it causes significant social and economic losses to society. Pathogenetic basis for the development of diabetic osteoarthropathy is a combination of uncontrolled bone resorption and the lack of sensitivity of the defense, which leads to the destruction of joints. The gold standard for diagnosis of Charcot osteoarthropathy is X-ray densitometry that allows you to objectively assess the state of bone mineral density.

  1. 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.

  2. 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.

  3. Accuracy of the all patient refined diagnosis related groups classification system in congenital heart surgery.

    Science.gov (United States)

    Parnell, Aimee S; Shults, Justine; Gaynor, J William; Leonard, Mary B; Dai, Dingwei; Feudtner, Chris

    2014-02-01

    Administrative data are increasingly used to evaluate clinical outcomes and quality of care in pediatric congenital heart surgery (CHS) programs. Several published analyses of large pediatric administrative data sets have relied on the All Patient Refined Diagnosis Related Groups (APR-DRG, version 24) diagnostic classification system. The accuracy of this classification system for patients undergoing CHS is unclear. We performed a retrospective cohort study of all 14,098 patients 0 to 5 years of age undergoing any of six selected congenital heart operations, ranging in complexity from isolated closure of a ventricular septal defect to single-ventricle palliation, at 40 tertiary-care pediatric centers in the Pediatric Health Information Systems database between 2007 and 2010. Assigned APR-DRGs (cardiac versus noncardiac) were compared using χ2 or Fisher's exact tests between those patients admitted during the first day of life versus later and between those receiving extracorporeal membrane oxygenation support versus those not. Recursive partitioning was used to assess the greatest determinants of APR-DRG type in the model. Every patient admitted on day 1 of life was assigned to a noncardiac APR-DRG (pDRG (pDRG experienced a significantly increased mortality (pDRG coding has systematic misclassifications, which may result in inaccurate reporting of CHS case volumes and mortality. Copyright © 2014 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

  4. 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)

  5. 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.

  6. 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…

  7. 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.

  8. 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.

  9. Comparative analysis of classification based algorithms for diabetes diagnosis using iris images.

    Science.gov (United States)

    Samant, Piyush; Agarwal, Ravinder

    2018-01-01

    Photo-diagnosis is always an intriguing area for the researchers, with the advancement of image processing and computer machine vision techniques it have become more reliable and popular in recent years. The objective of this paper is to study the change in the features of iris, particularly irregularities in the pigmentation of certain areas of the iris with respect to diabetic health of an individual. Apart from the point that iris recognition concentrates on the overall structure of the iris, diagnostic techniques emphasises the local variations in the particular area of iris. Pre-image processing techniques have been applied to extract iris and thereafter, region of interest from the extracted iris have been cropped out. In order to observe the changes in the tissue pigmentation of region of interest, statistical, texture textural and wavelet features have been extracted. At the end, a comparison of accuracies of five different classifiers has been presented to classify two subject groups of diabetic and non-diabetic. Best classification accuracy has been calculated as 89.66% by the random forest classifier. Results have been shown the effectiveness and diagnostic significance of the proposed methodology. Presented piece of work offers a novel systemic perspective of non-invasive and automatic diabetic diagnosis.

  10. 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...

  11. 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.

  12. 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)

  13. Childbirth and Diagnosis Related Groups (DRGs): patient classification and hospital reimbursement in 11 European countries.

    Science.gov (United States)

    Bellanger, Martine M; Quentin, Wilm; Tan, Siok Swan

    2013-05-01

    The study compares how Diagnosis-Related Group (DRG) based hospital payment systems in eleven European countries (Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Spain, and Sweden) deal with women giving birth in hospitals. It aims to assist gynaecologists and national authorities in optimizing their DRG systems. National or regional databases were used to identify childbirth cases. DRG grouping algorithms and indicators of resource consumption were compared for those DRGs which account for at least 1% of all childbirth cases in the respective database. Five standardized case vignettes were defined and quasi prices (i.e. administrative prices or tariffs) of hospital deliveries according to national DRG-based hospital payment systems were ascertained. European DRG systems classify childbirth cases according to different sets of variables (between one and eight variables) into diverging numbers of DRGs (between three and eight DRGs). The most complex DRG is valued 3.5 times more resource intensive than an index case in Ireland but only 1.1 times more resource intensive than an index case in The Netherlands. Comparisons of quasi prices for the vignettes show that hypothetical payments for the most complex case amount to only € 479 in Poland but to € 5532 in Ireland. Differences in the classification of hospital childbirth cases into DRGs raise concerns whether European systems rely on the most appropriate classification variables. Physicians, hospitals and national DRG authorities should consider how other countries' DRG systems classify cases to optimize their system and to ensure fair and appropriate reimbursement. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  14. 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

  15. 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.

  16. The nature, meanings, and dynamics of lived experiences of a person with syringomyelia: a phenomenological study.

    Science.gov (United States)

    Hilton, Edith L; Henderson, Lesley J

    2003-01-01

    Syringomyelia, considered a rare neurological disease, is relatively uninvestigated in the nursing literature. The aims of this qualitative phenomenological case study were to discover the nature, meanings, and dynamics of lived experiences of a 52-year-old Caucasian male with syringomyelia. Using van Manen's Method of Phenomenological inquiry (van Manen, 1990), data were collected, checked, and analyzed according to the philosophy, approach, and methodological procedures of phenomenology. Findings revealed an overarching theme of engulfment by disease. Essential themes included loss of abilities, struggles to adapt to changes, and life as a person who was disabled. Eleven sub-themes were also identified. Implications for nursing practice are discussed.

  17. 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

  18. 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.

  19. Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis.

    Science.gov (United States)

    Stephan, Klaas E; Bach, Dominik R; Fletcher, Paul C; Flint, Jonathan; Frank, Michael J; Friston, Karl J; Heinz, Andreas; Huys, Quentin J M; Owen, Michael J; Binder, Elisabeth B; Dayan, Peter; Johnstone, Eve C; Meyer-Lindenberg, Andreas; Montague, P Read; Schnyder, Ulrich; Wang, Xiao-Jing; Breakspear, Michael

    2016-01-01

    Contemporary psychiatry faces major challenges. Its syndrome-based disease classification is not based on mechanisms and does not guide treatment, which largely depends on trial and error. The development of therapies is hindered by ignorance of potential beneficiary patient subgroups. Neuroscientific and genetics research have yet to affect disease definitions or contribute to clinical decision making. In this challenging setting, what should psychiatric research focus on? In two companion papers, we present a list of problems nominated by clinicians and researchers from different disciplines as candidates for future scientific investigation of mental disorders. These problems are loosely grouped into challenges concerning nosology and diagnosis (this Personal View) and problems related to pathogenesis and aetiology (in the companion Personal View). Motivated by successful examples in other disciplines, particularly the list of Hilbert's problems in mathematics, this subjective and eclectic list of priority problems is intended for psychiatric researchers, helping to re-focus existing research and providing perspectives for future psychiatric science. Copyright © 2016 Elsevier Ltd. All rights reserved.

  20. 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)

  1. MODEL-BASED CLUSTERING FOR CLASSIFICATION OF AQUATIC SYSTEMS AND DIAGNOSIS OF ECOLOGICAL STRESS

    Science.gov (United States)

    Clustering approaches were developed using the classification likelihood, the mixture likelihood, and also using a randomization approach with a model index. Using a clustering approach based on the mixture and classification likelihoods, we have developed an algorithm that...

  2. Triple A (Allgrove) syndrome: an unusual association with syringomyelia

    Science.gov (United States)

    2013-01-01

    Triple A (Allgrove) syndrome was first described by Allgrove in 1978 in two pairs of siblings. Since then, about 100 cases have been reported, all of them displaying an autosomal recessive pattern of inheritance. Clinical picture is characterized by achalasia, alacrimia and ACTH-resistant adrenal failure. A progressive neurological syndrome including central, peripheral and autonomic nervous system impairment, and mild mental retardation is often associated. The triple A syndrome gene, designated AAAS, is localized on chromosome 12q13. It consists of 16 exons, encoding for a 546 aminoacid protein called ALADIN (Alacrimia-Achalasia-aDrenal Insufficiency Neurologic disorder). We report on a 13 year-old boy presenting with Addison’s disease, dysphagia, muscle weakness, excessive fatigue and recent onset gait ataxia. The analysis of the AAAS gene revealed a homozygous missense mutation in exon 12. It was a T > G transversion at nucleotide position 1224, resulting in a change of leucine at amino acid position 381 into arginine (Leu381Arg or L381R). Brain appearance was found normal at magnetic resonance imaging (MRI) and functional spectroscopy analysis showed normal levels of the main metabolites. Spine MRI showed a cystic cavity within the spinal cord (syringomyelia), localized between the sixth cervical vertebra and the first thoracic vertebra. Cerebellar tonsils descended 7 mm caudal to foramen magnum, consistently with a mild type 1 Chiari malformation. Mild posterior inter-vertebral disk protrusions were evident between T9 and T10 and between L4 and L5. To our knowledge, this is the first report describing type 1 Chiari malformation and multiple spinal cord abnormalities in a patient with Allgrove syndrome. PMID:23800107

  3. Increased detection rate of syringomyelia by whole spine sagittal magnetic resonance images: Based on the data from military conscription of Korean young males

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Myoung Seok; Oh, Chang Hyun [Seoul Regional Military Manpower Administration, Seoul (Korea, Republic of); Yoon, Seung Hwan; Park, Hyeong Chun; Park, Chong Oon; Kim, Yeo Ju [Inha Univ. Hospital/College of Medicine/Inha Univ., Incheon (Korea, Republic of)

    2012-09-15

    We compared the detection rate of syringomyelia according to the type of magnetic resonance (MR) images among the Korean military conscription. Among the total of 238910 examinees (males aged 18 to 32 years old) from January 2008 to December 2011, the examinees with conventional single lesion MR images (cervical, thoracic, and lumbar) with and without whole spine sagittal T2 weighted MR images (WSST2I) totaled 1206 cases, and syringomyelia was observed in 24 cases. The detection rate of syringomyelia according to the MR protocol (the presence of WSST2I or not) was done through analysis by annually and the clinical characters of syringomyelia was reviewed. The estimated prevalence of syringomyelia was approximately 10.0 cases per 100000 people. The detection rate was increased annually when the WSST2I proportion was increased (from 3.4 to 14.9 cases per 100000 persons, r = 0.939, p = 0.018). Clinical character of syringomyelia was ambiguous with other spinal diseases. The most affected spinal level was C5 to C7 (83%), and most cases were non communicating syringomyelia with benign central canal widening (79%). Whole spine sagittal MR image is useful to detect coexisting spinal diseases such as syringomyelia, and most syringomyelia in young males was benign hydromyelia. A whole spine sagittal MR image is recommended to increase the detection of syringomyelia.

  4. Chiari-like malformation and syringomyelia in cavalier King Charles spaniels

    NARCIS (Netherlands)

    Rusbridge, C.

    2007-01-01

    This thesis is the cumulation of over a decade of study into the pathogenesis and treatment Chiari-like malformation and syringomyelia (CM/SM) in the cavalier King Charles spaniel (CKCS). Chiari-like malformation is a condition where the brain is too big for the skull and is crushed and pushed out

  5. Dandy–Walker malformation is a rare cause of syringomyelia in adults

    Directory of Open Access Journals (Sweden)

    G. Yu. Evzikov

    2017-01-01

    Full Text Available Neural tube defects are the most common central nervous system malformation. Dandy–Walker malformation (DWM is a rare abnormality of the posterior cranial fossa, which is generally diagnosed in the prenatal period or early infancy.The paper describes a case of the late clinical manifestation of DWM, which has caused syringomyelia. All variants of pathological changes within the Dandy–Walker complex very rarely become a cause of syringomyelia. Only four cases of DWM, in which syringomyelia was found in adults, are known.The authors believe that formation of syringomyelia cysts in these patients is associated with the impaired circulation of normal cerebrospinal fluid between the superior cistern and the subarachnoid spaces of the spinal cord due to the caudal dislocation of the cyst formed in the fourth ventricle.Decompression of the craniovertebral junction, by resecting the caudal portion of the cyst in the foramen magnum, and repair of the free communication between the superior cistern and the cerebrospinal fluid spaces of the spinal cord, which is complemented by duroplasty, are pointed out to be an optimal treatment in these patients.

  6. 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

  7. 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.

  8. [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.

  9. 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.

  10. Diagnosis of mild chronic pancreatitis (Cambridge classification): comparative study using secretin injection-magnetic resonance cholangiopancreatography and endoscopic retrograde pancreatography.

    Science.gov (United States)

    Sai, Jin-Kan; Suyama, Masafumi; Kubokawa, Yoshihiro; Watanabe, Sumio

    2008-02-28

    To investigate the usefulness of secretin injection-MRCP for the diagnosis of mild chronic pancreatitis. Sixteen patients having mild chronic pancreatitis according to the Cambridge classification and 12 control subjects with no abnormal findings on the pancreatogram were examined for the diagnostic accuracy of secretin injection-MRCP regarding abnormal branch pancreatic ducts associated with mild chronic pancreatitis (Cambridge Classification), using endoscopic retrograde cholangiopancreatography (ERCP) for comparison. The sensitivity and specificity for abnormal branch pancreatic ducts determined by two reviewers were respectively 55%-63% and 75%-83% in the head, 57%-64% and 82%-83% in the body, and 44%-44% and 72%-76% in the tail of the pancreas. The sensitivity and specificity for mild chronic pancreatitis were 56%-63% and 92%-92%, respectively. Interobserver agreement (kappa statistics) concerning the diagnosis of an abnormal branch pancreatic duct and of mild chronic pancreatitis was good to excellent. Secretin injection-MRCP might be useful for the diagnosis of mild chronic pancreatitis.

  11. Acute myocardial infarction and diagnosis-related groups: patient classification and hospital reimbursement in 11 European countries.

    Science.gov (United States)

    Quentin, Wilm; Rätto, Hanna; Peltola, Mikko; Busse, Reinhard; Häkkinen, Unto

    2013-07-01

    As part of the diagnosis related groups in Europe (EuroDRG) project, researchers from 11 countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Spain, and Sweden) compared how their DRG systems deal with patients admitted to hospital for acute myocardial infarction (AMI). The study aims to assist cardiologists and national authorities to optimize their DRG systems. National or regional databases were used to identify hospital cases with a primary diagnosis of AMI. Diagnosis-related group classification algorithms and indicators of resource consumption were compared for those DRGs that individually contained at least 1% of cases. Six standardized case vignettes were defined, and quasi prices according to national DRG-based hospital payment systems were ascertained. European DRG systems vary widely: they classify AMI patients according to different sets of variables into diverging numbers of DRGs (between 4 DRGs in Estonia and 16 DRGs in France). The most complex DRG is valued 11 times more resource intensive than an index case in Estonia but only 1.38 times more resource intensive than an index case in England. Comparisons of quasi prices for the case vignettes show that hypothetical payments for the index case amount to only €420 in Poland but to €7930 in Ireland. Large variation exists in the classification of AMI patients across Europe. Cardiologists and national DRG authorities should consider how other countries' DRG systems classify AMI patients in order to identify potential scope for improvement and to ensure fair and appropriate reimbursement.

  12. Experimental Investigation for Fault Diagnosis Based on a Hybrid Approach Using Wavelet Packet and Support Vector Classification

    Directory of Open Access Journals (Sweden)

    Pengfei Li

    2014-01-01

    Full Text Available To deal with the difficulty to obtain a large number of fault samples under the practical condition for mechanical fault diagnosis, a hybrid method that combined wavelet packet decomposition and support vector classification (SVC is proposed. The wavelet packet is employed to decompose the vibration signal to obtain the energy ratio in each frequency band. Taking energy ratios as feature vectors, the pattern recognition results are obtained by the SVC. The rolling bearing and gear fault diagnostic results of the typical experimental platform show that the present approach is robust to noise and has higher classification accuracy and, thus, provides a better way to diagnose mechanical faults under the condition of small fault samples.

  13. 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.

  14. Quantitative analysis of Chiari-like malformation and syringomyelia in the Griffon Bruxellois dog.

    Directory of Open Access Journals (Sweden)

    Susan P Knowler

    Full Text Available This study aimed to develop a system of quantitative analysis of canine Chiari-like malformation and syringomyelia on variable quality MRI. We made a series of measurements from magnetic resonance DICOM images from Griffon Bruxellois dogs with and without Chiari-like malformation and syringomyelia and identified several significant variables. We found that in the Griffon Bruxellois dog, Chiari-like malformation is characterized by an apparent shortening of the entire cranial base and possibly by increased proximity of the atlas to the occiput. As a compensatory change, there appears to be an increased height of the rostral cranial cavity with lengthening of the dorsal cranial vault and considerable reorganization of the brain parenchyma including ventral deviation of the olfactory bulbs and rostral invagination of the cerebellum under the occipital lobes.

  15. 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.

  16. 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

  17. Dumb-bell sarcoma of the foramen jugulare with syringomyelia. A radio-induced tumour

    Energy Technology Data Exchange (ETDEWEB)

    Sieben, G; Sieben-Praet, M; de Reuck, J; de Coster, W; Remouchamps, A; Roels, H; van der Eecken, H [Ghent Rijksuniversiteit (Belgium). Dept. of. Neurology and Pathology

    1980-01-01

    The clinicopathological findings of a 58-year-old man, who developed cervicothoracic syringomyelia at the age of 25 are presented. He was given radiation therapy at the age of 33. At the age of 57 he developed a foramen jugulare syndrome on the left, caused by a low grade leiomyosarcoma. Etiologically, the most attractive hypothesis appears to be that the tumour was induced by radiation therapy administered 24 years previously.

  18. 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

    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...

  19. New Informative Features for Fault Diagnosis of Industrial Systems by Supervised Classification

    OpenAIRE

    Verron , Sylvain; Tiplica , Teodor; Kobi , Abdessamad

    2009-01-01

    International audience; The purpose of this article is to present a method for industrial process diagnosis. We are interested in fault diagnosis considered as a supervised classication task. The interest of the proposed method is to take into account new features (and so new informations) in the classifier. These new features are probabilities extracted from a Bayesian network comparing the faulty observations to the normal operating conditions. The performances of this method are evaluated ...

  20. 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 ...

  1. Appendectomy and diagnosis-related groups (DRGs): patient classification and hospital reimbursement in 11 European countries

    OpenAIRE

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

    2012-01-01

    Background As part of the EuroDRG project, researchers from 11 countries (i.e., Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Sweden, and Spain) compared how their diagnosis-related groups (DRG) systems deal with appendectomy patients. The study aims to assist surgeons and national authorities to optimize their DRG systems. Methods National or regional databases were used to identify hospital cases with a diagnosis of appendicitis treated with a procedure ...

  2. Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson’s Disease

    Science.gov (United States)

    Adeli, Ehsan; Wu, Guorong; Saghafi, Behrouz; An, Le; Shi, Feng; Shen, Dinggang

    2017-01-01

    Feature selection methods usually select the most compact and relevant set of features based on their contribution to a linear regression model. Thus, these features might not be the best for a non-linear classifier. This is especially crucial for the tasks, in which the performance is heavily dependent on the feature selection techniques, like the diagnosis of neurodegenerative diseases. Parkinson’s disease (PD) is one of the most common neurodegenerative disorders, which progresses slowly while affects the quality of life dramatically. In this paper, we use the data acquired from multi-modal neuroimaging data to diagnose PD by investigating the brain regions, known to be affected at the early stages. We propose a joint kernel-based feature selection and classification framework. Unlike conventional feature selection techniques that select features based on their performance in the original input feature space, we select features that best benefit the classification scheme in the kernel space. We further propose kernel functions, specifically designed for our non-negative feature types. We use MRI and SPECT data of 538 subjects from the PPMI database, and obtain a diagnosis accuracy of 97.5%, which outperforms all baseline and state-of-the-art methods.

  3. Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson’s Disease

    Science.gov (United States)

    Adeli, Ehsan; Wu, Guorong; Saghafi, Behrouz; An, Le; Shi, Feng; Shen, Dinggang

    2017-01-01

    Feature selection methods usually select the most compact and relevant set of features based on their contribution to a linear regression model. Thus, these features might not be the best for a non-linear classifier. This is especially crucial for the tasks, in which the performance is heavily dependent on the feature selection techniques, like the diagnosis of neurodegenerative diseases. Parkinson’s disease (PD) is one of the most common neurodegenerative disorders, which progresses slowly while affects the quality of life dramatically. In this paper, we use the data acquired from multi-modal neuroimaging data to diagnose PD by investigating the brain regions, known to be affected at the early stages. We propose a joint kernel-based feature selection and classification framework. Unlike conventional feature selection techniques that select features based on their performance in the original input feature space, we select features that best benefit the classification scheme in the kernel space. We further propose kernel functions, specifically designed for our non-negative feature types. We use MRI and SPECT data of 538 subjects from the PPMI database, and obtain a diagnosis accuracy of 97.5%, which outperforms all baseline and state-of-the-art methods. PMID:28120883

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

    Directory of Open Access Journals (Sweden)

    Meenakshi M. Pawar

    2016-09-01

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

  5. Treatment of selected syringomyelias with syringo-pleural shunt: the experience with a consecutive 26 cases.

    Science.gov (United States)

    Fan, Tao; Zhao, XinGang; Zhao, HaiJun; Liang, Cong; Wang, YinQian; Gai, QiFei; Zhang, Fangyi

    2015-10-01

    It is well established that syringomyelia can cause neurological symptoms and deficit by accumulation of fluid within syrinx cavities that lead to internal compression within the spinal cord. When other intervention treating the underlying etiology failed to yield any improvement, the next option would be a procedure to divert the fluid from the syrinx cavity, such as syringo-subarachnoid, syringo-peritoneal or syringo-pleural shunting. The indications and long term efficacy of these direct shunting procedures are still questionable and controversial. To investigate the clinical indication, outcome and complication of syringe-pleural shunt (SPS) as an alternative for treatment of syringomyelia. We reported a retrospective 26 cases of syringomyelia were found to have indication for a diversion procedure. SPS was offered. Patients' symptoms, mJOA score, and MRI were collected to evaluate the change of the syringomyelia and prognosis of the patients. 2-tailed wilcoxon signed-rank test was used to perform the statistical analysis of the mJOA scores. All 26 patients underwent SPS. The clinical information was collected, the mean follow-up time was 27.4 months, 2-tailed wilcoxon signed-rank test was used to perform the statistical analysis of the mJOA scores. The key surgical technique, outcome and complications of SPS were reported in detail. No mortality and severe complications occurred. Postoperative MRIs revealed near-complete resolution of syrinx in 14 patients, significant shrinkage of syrinx in 10 patients, no obvious reduction or unchanged in remaining 2 patient. Postoperatively, the symptoms improved in 24 cases (92.3%). Statistical analysis of the mJOA scores showed a statistical significance (P<0.001) between the preoperative group and the 2-week postoperative group. No further significant improvement between 2 weeks to the final follow up at 27 months. Collapse or remarkable shrinkage of the syrinx by SPS could ameliorate or at least stabilize the symptoms

  6. MYOCLONUS IN CHILDREN: DEFINITIONS AND CLASSIFICATIONS, DIFFERENTIAL DIAGNOSIS, APPROACHES TO THERAPY (A LECTURE

    Directory of Open Access Journals (Sweden)

    M. Yu. Bobylova

    2014-01-01

    Full Text Available Myoclonus is a manifestation of many neurological diseases, by differing in etiology and pathogenesis. The high prevalence of myoclonus in children with cardinally different prognoses of diseases of not only the nervous system, but also other organs and systems causes to resume investigations into myoclonus as a syndrome, to specify its terminology and classification, to improve diagnostic criteria, and to optimize additional diagnostic schemes.

  7. Acute myocardial infarction and diagnosis-related groups: patient classification and hospital reimbursement in 11 European countries

    Science.gov (United States)

    Quentin, Wilm; Rätto, Hanna; Peltola, Mikko; Busse, Reinhard; Häkkinen, Unto

    2013-01-01

    Aims As part of the diagnosis related groups in Europe (EuroDRG) project, researchers from 11 countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Spain, and Sweden) compared how their DRG systems deal with patients admitted to hospital for acute myocardial infarction (AMI). The study aims to assist cardiologists and national authorities to optimize their DRG systems. Methods and results National or regional databases were used to identify hospital cases with a primary diagnosis of AMI. Diagnosis-related group classification algorithms and indicators of resource consumption were compared for those DRGs that individually contained at least 1% of cases. Six standardized case vignettes were defined, and quasi prices according to national DRG-based hospital payment systems were ascertained. European DRG systems vary widely: they classify AMI patients according to different sets of variables into diverging numbers of DRGs (between 4 DRGs in Estonia and 16 DRGs in France). The most complex DRG is valued 11 times more resource intensive than an index case in Estonia but only 1.38 times more resource intensive than an index case in England. Comparisons of quasi prices for the case vignettes show that hypothetical payments for the index case amount to only €420 in Poland but to €7930 in Ireland. Conclusions Large variation exists in the classification of AMI patients across Europe. Cardiologists and national DRG authorities should consider how other countries' DRG systems classify AMI patients in order to identify potential scope for improvement and to ensure fair and appropriate reimbursement. PMID:23364755

  8. 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...

  9. Unusual Features of Extraarticular Skeletal Tuberculosis: New Classification and Differential Diagnosis

    International Nuclear Information System (INIS)

    Kim, Kun Sang; Park, Soo Soung

    1983-01-01

    Twenty two cases of extra articular skeletal tuberculosis which showed unusual radiological features are reported and classified into several categories with discussion on the differential diagnosis. Radiological patterns of skeletal tuberculosis is so variable that with any kind of skeletal changes the possibility of the skeletal tuberculosis should not be excluded between of lack of its classical patterns.

  10. 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.

  11. A Prototype Model for Automating Nursing Diagnosis, Nurse Care Planning and Patient Classification.

    Science.gov (United States)

    1986-03-01

    Each diagnosis has an assessment level. Assessment levels are defining characteristics observed by the nurse or subjectively stated by the patient... characteristics of this order line. Select IV Order (Figure 4.l.1.le] is the first screen of a series of three. Select IV Order has up to 10 selections...For I F Upatient orders. Input Files Used: IVC.Scr and Procfile.Prg * Output Files Used: None Calling Routine: IUB.Prg * Routine Called: None

  12. Cholecystectomy and Diagnosis-Related Groups (DRGs): Patient Classification and Hospital Reimbursement in 11 European Countries

    OpenAIRE

    Gerli Paat-Ahi; Ain Aaviksoo; Maria Świderek

    2014-01-01

    Background As part of the EuroDRG project, researchers from eleven countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Sweden, and Spain) compared how their Diagnosis-Related Groups (DRG) systems deal with cholecystectomy patients. The study aims to assist surgeons and national authorities to optimize their DRG systems. Methods National or regional databases were used to identify hospital cases with a procedure of cholecystectom...

  13. Diagnosis-Related Groups for Stroke in Europe: Patient Classification and Hospital Reimbursement in 11 Countries

    OpenAIRE

    Peltola, Mikko; Quentin, Wilm

    2013-01-01

    Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich. This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively. Background: Diagnosis-related groups (DRGs) are increasingly being used for various purposes in many countries. However, there are no studies comparing different DRG systems...

  14. Are Established Methods of Physiotherapeutic Management for Long-term Neurological Conditions Applicable to 'Orphan' Conditions such as Syringomyelia?

    Science.gov (United States)

    Smith, Rebecca; Jones, Gareth; Curtis, Alexandra; Murphy, Hollie; Flint, Graham

    2016-03-01

    Syringomyelia is a rare or 'orphan' condition with the potential to cause significant disability and detrimental effects to quality of life. Syringomyelia shares similar symptoms to those common in other long-term neurological conditions, including spinal cord injury and multiple sclerosis. In these more prevalent conditions, physiotherapy is utilized widely and is effective in optimizing physical, psychological and social parameters. Therefore, we theorized that physiotherapy might be transferable to, and beneficial to syringomyelia patients. As a paucity of literature exists in this area, we aimed to evaluate the existing uptake and perceived efficacy of physiotherapy. An exploratory, mixed methodology was selected to derive sufficient qualitative data for analysis. Specifically designed questionnaires and semi-structured interviews yielded data on uptake and perceived physiotherapy efficacy. One hundred patients from a National Health Service tertiary syringomyelia service were invited to participate. The questionnaire and interviews were completed by 49 and 20 patients, respectively. Of the small number of patients receiving physiotherapy, the majority reported beneficial effects on pain modulation and quality of life. Stretching and hydrotherapy were deemed effective for relief of pain and stiffness. Additionally, physiotherapy was reported to provide similar benefits to surgical intervention. Syringomyelia patients report physiotherapy to provide benefits for symptom management and quality of life. Such findings suggest that established rehabilitation techniques in more common conditions may be transferable to those less prevalent. Uptake of physiotherapy was limited, seemingly because of inadequate information, knowledge and resources. To address these deficiencies, further studies should be planned investigating the effectiveness of physiotherapy modalities, such as hydrotherapy, in parallel or in conjunction with surgery and/or pharmacology. Additionally

  15. Trialling diagnosis-related groups classification in the Iranian health system: a case study examining the feasibility of introducing casemix.

    Science.gov (United States)

    Ghaffari, S; Doran, C; Wilson, A; Aisbett, C

    2010-05-01

    This paper examines the quality of routinely collected information in an Iranian hospital in a trial of casemix classification. Australian Refined Diagnosis Related Groups (AR-DRG) were used to classify patient episodes. There were 327 DRGs identified, of which 20% had only 1 case. The grouper program identified invalid records for 4% of total separations. Approximately 4.5% of cases were classified into error DRGs and 3.4% were ungroupable. No complication and comorbidity effects were identified with 93% of total cases. R2 (variance in length of stay explained) was 44% for untrimmed cases, increasing to 63%, 57% and 58% after trimming by L3H3, IQR and 10th-95th percentile methods respectively.

  16. Knee replacement and Diagnosis-Related Groups (DRGs): patient classification and hospital reimbursement in 11 European countries.

    Science.gov (United States)

    Tan, Siok Swan; Chiarello, Pietro; Quentin, Wilm

    2013-11-01

    Researchers from 11 countries (Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Spain, and Sweden) compared how their Diagnosis-Related Group (DRG) systems deal with knee replacement cases. The study aims to assist knee surgeons and national authorities to optimize the grouping algorithm of their DRG systems. National or regional databases were used to identify hospital cases treated with a procedure of knee replacement. DRG classification algorithms and indicators of resource consumption were compared for those DRGs that together comprised at least 97 % of cases. Five standardized case scenarios were defined and quasi-prices according to national DRG-based hospital payment systems ascertained. Grouping algorithms for knee replacement vary widely across countries: they classify cases according to different variables (between one and five classification variables) into diverging numbers of DRGs (between one and five DRGs). Even the most expensive DRGs generally have a cost index below 2.00, implying that grouping algorithms do not adequately account for cases that are more than twice as costly as the index DRG. Quasi-prices for the most complex case vary between euro 4,920 in Estonia and euro 14,081 in Spain. Most European DRG systems were observed to insufficiently consider the most important determinants of resource consumption. Several countries' DRG system might be improved through the introduction of classification variables for revision of knee replacement or for the presence of complications or comorbidities. Ultimately, this would contribute to assuring adequate performance comparisons and fair hospital reimbursement on the basis of DRGs.

  17. Value of the BI-RADS classification in MR-mammography for diagnosis of benign and malignant breast tumors

    International Nuclear Information System (INIS)

    Sohns, Christian; Scherrer, Martin; Staab, Wieland; Obenauer, Silvia

    2011-01-01

    To assess whether the BI-RADS classification in MR-Mammography (MRM) can distinguish between benign and malignant lesions. 207 MRM investigations were categorised according to BI-RADS. The results were compared to histology. All MRM studies were interpreted by two examiners. Statistical significance for the accuracy of MRM was calculated. A significant correlation between specific histology and MRM-tumour-morphology could not be reported. Mass (68%) was significant for malignancy. Significance raised with irregular shape (88%), spiculated margin (97%), rim enhancement (98%), fast initial increase (90%), post initial plateau (65%), and intermediate T2 result (82%). Highly significant for benignity was an oval mass (79%), slow initial increase (94%) and a hyperintense T2 result (77%), also an inconspicuous MRM result (77%) was often seen in benign histology. Symmetry (90%) and further post initial increase (90%) were significant, whereas a regional distribution (74%) was lowly significant for benignity. On basis of the BI-RADS classification an objective comparability and statement of diagnosis could be made highly significant. Due to the fact of false-negative and false-positive MRM-results, histology is necessary. (orig.)

  18. A feline case of isolated fourth ventricle with syringomyelia suspected to be related with feline infectious peritonitis.

    Science.gov (United States)

    Kitagawa, Masato; Okada, Midori; Sato, Tsuneo; Kanayama, Kiichi; Sakai, Takeo

    2007-07-01

    A one-year-old female cat was unable to stand. Magnetic resonance imaging was performed, and an enlargement of the lateral, third, and fourth ventricles and syringomyelia were detected. The cat was diagnosed with an isolated fourth ventricle (IFV) with syringomyelia. The serum isoantibody test for the feline infectious peritonitis (FIP) virus was 1:3,200. After the cat died, a pathological examination revealed nonsuppurative encephalomyelitis. We suspected that the IFV, detected in the cat, was associated with FIP encephalomyelitis. To our knowledge, there has been no report on IFV in veterinary medicine.

  19. 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.

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

    DEFF Research Database (Denmark)

    Lebech, Anne-Mette

    2002-01-01

    been studied by phenotypic and genotypic traits and have been shown to be highly heterogeneous. Our first approach was to genotype a panel of human B. burgdorferi isolates by restriction fragment length polymorphism (RFLP) of three genes. Thereafter, sequencing and dideoxy fingerprinting of osp...... 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...... classification by Baranton et al., According to this the term B. burgdorferi sensu lato comprises three different human pathogenic genospecies B. burgdorferi sensu stricto, B. garinii and B. afzelii. All three genospecies have been isolated among Danish patients with Lyme borreliosis and are thus prevalent...

  1. 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.

  2. 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.

  3. Role of Cysternography in the management of Chiari I malformation related syringomyelia

    International Nuclear Information System (INIS)

    Das, B.K.; Pradhan, P.K.; Arora, P.; Bihari, S.; Arya, A.; Jain, V.K.; Banerjee, D.; Chhabra, D.K.

    2002-01-01

    Aim: In syringomyelia related to Chiari I malformation there is significant alteration of CSF flow dynamics . However, no systematic study has been reported revealing the changes of flow dynamics and its role in assessing the outcome of treatment. The aim of this prospective study was to characterize the changes of CSF flow dynamics in MRI proven Chiari I malformation and correlate the findings with the outcome of posterior decompression and duraplasty. Material and Method : Fifteen patients with MRI proven Chiari I malformation without associated hydrocephalus or fixed AAD requiring trans oral decompression were included in this study. 185 MBq ( 5 mCi ) Tc99m-DTPA was instilled in lumbar region and the ascent of the tracer was followed at 2 hrs, 4 hrs, 6 hrs and 24 hrs by Gamma Camera imaging. The time and pattern of ascent to Foramen magnum(FM), cranial subarachnoidal spaces, delay or hold up of tracer or filling of syrinx were noted. Results: Out of 15 patients six (40%) showed timely tracer ascent with normal CSF flow to the cerebral convexities(group I) whereas 9 patients (60%) had delayed ascent and abnormal intra cranial CSF flow. In these 9 patients two distinctive groups could be identified. Six patients (group II) had mild delay whereas three patients (group III) showed almost complete block of CSF flow at the FM level. Comparison of clinical status as measured by modified JOAS disability grading system before and six months after surgical intervention showed significant improvement in group III and moderate improvement in group II. Group I patients had a low disability grade before and showed minor improvement after intervention. Conclusions: (i) Cysternography can be helpful in predicting the outcome of surgical intervention in Chiari I malformation related syringomyelia. (ii) Pre and post operative clinical scores correlate with the cysternography findings. (iii) The traditional belief that FM block causes Chiari I malformation related syringomyelia

  4. Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI

    Science.gov (United States)

    Alfano, R.; Soetemans, D.; Bauman, G. S.; Gibson, E.; Gaed, M.; Moussa, M.; Gomez, J. A.; Chin, J. L.; Pautler, S.; Ward, A. D.

    2018-02-01

    Multi-parametric MRI (mp-MRI) is becoming a standard in contemporary prostate cancer screening and diagnosis, and has shown to aid physicians in cancer detection. It offers many advantages over traditional systematic biopsy, which has shown to have very high clinical false-negative rates of up to 23% at all stages of the disease. However beneficial, mp-MRI is relatively complex to interpret and suffers from inter-observer variability in lesion localization and grading. Computer-aided diagnosis (CAD) systems have been developed as a solution as they have the power to perform deterministic quantitative image analysis. We measured the accuracy of such a system validated using accurately co-registered whole-mount digitized histology. We trained a logistic linear classifier (LOGLC), support vector machine (SVC), k-nearest neighbour (KNN) and random forest classifier (RFC) in a four part ROI based experiment against: 1) cancer vs. non-cancer, 2) high-grade (Gleason score ≥4+3) vs. low-grade cancer (Gleason score work will form the basis for a tool that enhances the radiologist's ability to detect malignancies, potentially improving biopsy guidance, treatment selection, and focal therapy for prostate cancer patients, maximizing the potential for cure and increasing quality of life.

  5. 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

  6. 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

  7. Alzheimer Disease and Behavioral Variant Frontotemporal Dementia: Automatic Classification Based on Cortical Atrophy for Single-Subject Diagnosis.

    Science.gov (United States)

    Möller, Christiane; Pijnenburg, Yolande A L; van der Flier, Wiesje M; Versteeg, Adriaan; Tijms, Betty; de Munck, Jan C; Hafkemeijer, Anne; Rombouts, Serge A R B; van der Grond, Jeroen; van Swieten, John; Dopper, Elise; Scheltens, Philip; Barkhof, Frederik; Vrenken, Hugo; Wink, Alle Meije

    2016-06-01

    Purpose To investigate the diagnostic accuracy of an image-based classifier to distinguish between Alzheimer disease (AD) and behavioral variant frontotemporal dementia (bvFTD) in individual patients by using gray matter (GM) density maps computed from standard T1-weighted structural images obtained with multiple imagers and with independent training and prediction data. Materials and Methods The local institutional review board approved the study. Eighty-four patients with AD, 51 patients with bvFTD, and 94 control subjects were divided into independent training (n = 115) and prediction (n = 114) sets with identical diagnosis and imager type distributions. Training of a support vector machine (SVM) classifier used diagnostic status and GM density maps and produced voxelwise discrimination maps. Discriminant function analysis was used to estimate suitability of the extracted weights for single-subject classification in the prediction set. Receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) were calculated for image-based classifiers and neuropsychological z scores. Results Training accuracy of the SVM was 85% for patients with AD versus control subjects, 72% for patients with bvFTD versus control subjects, and 79% for patients with AD versus patients with bvFTD (P ≤ .029). Single-subject diagnosis in the prediction set when using the discrimination maps yielded accuracies of 88% for patients with AD versus control subjects, 85% for patients with bvFTD versus control subjects, and 82% for patients with AD versus patients with bvFTD, with a good to excellent AUC (range, 0.81-0.95; P ≤ .001). Machine learning-based categorization of AD versus bvFTD based on GM density maps outperforms classification based on neuropsychological test results. Conclusion The SVM can be used in single-subject discrimination and can help the clinician arrive at a diagnosis. The SVM can be used to distinguish disease-specific GM patterns in patients with AD

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

    Science.gov (United States)

    Zuberbier, T; Asero, R; Bindslev-Jensen, C; Walter Canonica, G; Church, M K; Giménez-Arnau, A; Grattan, C E H; Kapp, A; Merk, H F; Rogala, B; Saini, S; Sánchez-Borges, M; Schmid-Grendelmeier, P; Schünemann, H; Staubach, P; Vena, G A; Wedi, B; Maurer, M

    2009-10-01

    This guideline, together with its sister guideline on the management of urticaria [Zuberbier T, Asero R, Bindslev-Jensen C, Canonica GW, Church MK, Giménez-Arnau AM et al. EAACI/GA(2)LEN/EDF/WAO Guideline: Management of urticaria. Allergy, 2009; 64:1427-1443] is the result of a consensus reached during a panel discussion at the 3rd International Consensus Meeting on Urticaria, Urticaria 2008, a joint initiative of the Dermatology Section of the European Academy of Allergology 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). 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, and pathomechanisms. In addition, it outlines evidence-based diagnostic approaches for different subtypes of urticaria. The correct management of urticaria, which is of paramount importance for patients, is very complex and is consequently covered in a separate guideline developed during the same consensus meeting. This guideline was acknowledged and accepted by the European Union of Medical Specialists (UEMS).

  9. A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer's Disease Diagnosis.

    Science.gov (United States)

    Voyle, Nicola; Keohane, Aoife; Newhouse, Stephen; Lunnon, Katie; Johnston, Caroline; Soininen, Hilkka; Kloszewska, Iwona; Mecocci, Patrizia; Tsolaki, Magda; Vellas, Bruno; Lovestone, Simon; Hodges, Angela; Kiddle, Steven; Dobson, Richard Jb

    2016-01-01

    Recent studies indicate that gene expression levels in blood may be able to differentiate subjects with Alzheimer's disease (AD) from normal elderly controls and mild cognitively impaired (MCI) subjects. However, there is limited replicability at the single marker level. A pathway-based interpretation of gene expression may prove more robust. This study aimed to investigate whether a case/control classification model built on pathway level data was more robust than a gene level model and may consequently perform better in test data. The study used two batches of gene expression data from the AddNeuroMed (ANM) and Dementia Case Registry (DCR) cohorts. Our study used Illumina Human HT-12 Expression BeadChips to collect gene expression from blood samples. Random forest modeling with recursive feature elimination was used to predict case/control status. Age and APOE ɛ4 status were used as covariates for all analysis. Gene and pathway level models performed similarly to each other and to a model based on demographic information only. Any potential increase in concordance from the novel pathway level approach used here has not lead to a greater predictive ability in these datasets. However, we have only tested one method for creating pathway level scores. Further, we have been able to benchmark pathways against genes in datasets that had been extensively harmonized. Further work should focus on the use of alternative methods for creating pathway level scores, in particular those that incorporate pathway topology, and the use of an endophenotype based approach.

  10. 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

  11. Vascular low-flow malformations in children: current concepts for classification, diagnosis and therapy

    International Nuclear Information System (INIS)

    Puig, Stefan; Casati, Bettina; Staudenherz, Anton; Paya, Kurosh

    2005-01-01

    Congenital vascular malformations (CVM) are made of dysplastic vessels with no cellular proliferation. Low- or slow-flow malformations (LFM) consist predominantly of venous and/or lymphatic vessels. Correct terminology is necessary for differentiating vascular malformations from tumours such as haemangiomas, in order to prevent ineffective or even adverse therapy. The role of the radiologist in the management of patients is two-fold: making the diagnosis with the use of ultrasound and magnetic resonance imaging, and performing sclerotherapy, which is the treatment of choice. Prior to sclerotherapy, percutaneous phlebography is necessary to visualize the dynamic situation inside the lesion and the flow into the adjacent vascular system. The double-needle technique is a useful therapy option reducing the risk of embolisation of the sclerosing agent. Large lesions might need subsequent surgical treatment. A multidisciplinary approach is substantial for optimal patient management

  12. Brazilian Guidelines for Hereditary Angioedema Management - 2017 Update Part 1: Definition, Classification and Diagnosis.

    Science.gov (United States)

    Giavina-Bianchi, Pedro; Arruda, Luisa Karla; Aun, Marcelo V; Campos, Regis A; Chong-Neto, Herberto J; Constantino-Silva, Rosemeire N; Fernandes, Fátima R; Ferraro, Maria F; Ferriani, Mariana P L; França, Alfeu T; Fusaro, Gustavo; Garcia, Juliana F B; Komninakis, Shirley; Maia, Luana S M; Mansour, Eli; Moreno, Adriana S; Motta, Antonio A; Pesquero, João B; Portilho, Nathalia; Rosário, Nelson A; Serpa, Faradiba S; Solé, Dirceu; Takejima, Priscila; Toledo, Eliana; Valle, Solange O.R; Veronez, Camila L; Grumach, Anete S

    2018-01-01

    Hereditary angioedema is an autosomal dominant disease characterized by recurrent angioedema attacks with the involvement of multiple organs. The disease is unknown to many health professionals and is therefore underdiagnosed. Patients who are not adequately diagnosed and treated have an estimated mortality rate ranging from 25% to 40% due to asphyxiation by laryngeal angioedema. Intestinal angioedema is another important and incapacitating presentation that may be the main or only manifestation during an attack. In this article, a group of experts from the "Associação Brasileira de Alergia e Imunologia (ASBAI)" and the "Grupo de Estudos Brasileiro em Angioedema Hereditário (GEBRAEH)" has updated the Brazilian guidelines for the diagnosis and treatment of hereditary angioedema.

  13. 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

  14. 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

  15. 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.

  16. [Differences between Chicago and traditional classifications in the diagnosis of esophageal motor disorders with high-resolution manometry and topography of esophageal pressure].

    Science.gov (United States)

    Abreu-Y Abreu, A T; González Sánchez, C B; Villanueva Sáenz, E; Valdovinos Díaz, M A

    2010-01-01

    With the introduction of high resolution manometry (HRM) and esophageal topography a novel classification (Chicago Classification) has been proposed for the diagnosis of esophageal motor disorders (EMD). Clinical differences with the traditional classification are currently under evaluation. To investigate differences between the Chicago (CC) and traditional (TC) classifications in the diagnosis of EMD. Consecutive patients with indication for esophageal manometry were studied. HRM was performed with a 36 sensors solid-state catheter and Manoview software (V2.0).Conventional manometric tracings were analyzed by an investigator blinded to the results of HRM. Diagnosis by CC and CT were compared. Two hundred patients were studied, 106 (53%) of them women (53%) with a mean patient age of 43.4 (range 16 - 84) years. Preoperative evaluation for GERD 152 (76%) was the most frequent indication. Achalasia (8), scleroderma (2) and peristaltic dysfunction (60 vs. 59) were similarly diagnosed by CC and CT. Spastic disorders were more frequently identified by CC: nutcracker esophagus (NC) in 3, spastic NC in3 and segmental NC in 11 patients versus TC: NC 5. Three patients had spasm with CC and 1 with TC. Non specific motor disorder was diagnosed by TC and 2 patients had functional obstruction with CC. Hypotensive lower esophageal sphincter was identified in 63 patients with CC vs.57 with TC. Spastic disorders and functional obstruction were the EMD better identified by HRM and CC.

  17. 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

    2018-03-01

    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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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

    PURPOSE To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses. METHODS 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. RESULTS 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. CONCLUSIONS 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. PMID:28436410

  3. Reliability of Smartphone-Based Instant Messaging Application for Diagnosis, Classification, and Decision-making in Pediatric Orthopedic Trauma.

    Science.gov (United States)

    Stahl, Ido; Katsman, Alexander; Zaidman, Michael; Keshet, Doron; Sigal, Amit; Eidelman, Mark

    2017-07-11

    Smartphones have the ability to capture and send images, and their use has become common in the emergency setting for transmitting radiographic images with the intent to consult an off-site specialist. Our objective was to evaluate the reliability of smartphone-based instant messaging applications for the evaluation of various pediatric limb traumas, as compared with the standard method of viewing images of a workstation-based picture archiving and communication system (PACS). X-ray images of 73 representative cases of pediatric limb trauma were captured and transmitted to 5 pediatric orthopedic surgeons by the Whatsapp instant messaging application on an iPhone 6 smartphone. Evaluators were asked to diagnose, classify, and determine the course of treatment for each case over their personal smartphones. Following a 4-week interval, revaluation was conducted using the PACS. Intraobserver agreement was calculated for overall agreement and per fracture site. The overall results indicate "near perfect agreement" between interpretations of the radiographs on smartphones compared with computer-based PACS, with κ of 0.84, 0.82, and 0.89 for diagnosis, classification, and treatment planning, respectively. Looking at the results per fracture site, we also found substantial to near perfect agreement. Smartphone-based instant messaging applications are reliable for evaluation of a wide range of pediatric limb fractures. This method of obtaining an expert opinion from the off-site specialist is immediately accessible and inexpensive, making smartphones a powerful tool for doctors in the emergency department, primary care clinics, or remote medical centers, enabling timely and appropriate treatment for the injured child. This method is not a substitution for evaluation of the images in the standard method over computer-based PACS, which should be performed before final decision-making.

  4. 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.

  5. 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

  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)

    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.

  7. The analysis of the pathophysiology of syringomyelia by means of magnetic resonance imaging

    International Nuclear Information System (INIS)

    Abe, Toshiaki

    1992-01-01

    The pathophysiology of syringomyelia was examined with magnetic resonance imaging (MRI) in 70 patients. According to complications, syringomyelia was classified as being associated with (1) Chiari malformation, (2) both Chiari malformation and basal arachnoiditis, (3) basal arachnoiditis, (4) an obstruction of the foramen Magendie, and (5) spinal arachnoiditis. MRI features in Type 1 included: wedge-shaped herniated tonsils with the cisterna magna, pencil-shaped rostral end of the intraspinal syrinx, and obliterated caudal part of the fourth ventricle. These findings suggested that the herniated tonsils might result in the disturbance of cerebro-spinal fluid (CSF) circulation. In Type 2, the tip of the herniated tonsils was round; a triangular space was noted between the herniated tonsils and the upper spinal cord; the rostral end of the intraspinal syrinx was round; and the caudal part of the fourth ventricle was well visualized. These findings revealed that the brain stem and spinal cord were less pressed, suggesting that CSF circulatory disturbance resulted from basal arachnoiditis around the foramen magnum. In Type 3, the cisterna magna was narrowed by a thickened arachnoid membrane. In type 4, the intraspinal syrinx was directly connected with the fourth ventricle via the patent central canal associated with hydrocephalus. The position of the cerebellar tonsils and the size of the cisterna magna were both normal. In Type 5, a partial adhesion of the arachnoid membrane around the spinal cord was shown, and the syrinx was found extended toward the rostral as well as the caudal direction of the arachnoid adhesion. The rostral end of the syrinx was sometimes changed in size during MRI examinatin. This phenomenon sustained William's theory of 'suck and slosh mechanism' of intraspinal syrinx extension. (N.K.)

  8. 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.

    Directory of Open Access Journals (Sweden)

    Champica K Bodinayake

    2018-02-01

    Full Text Available 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

  9. 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)

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

    Science.gov (United States)

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

    2017-01-01

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

  11. 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

  12. 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.

  13. 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...

  14. 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

    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...

  15. 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

    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...

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

    OpenAIRE

    Yu-Chi Lin; Tung-Kuang Wu; Shian-Chang Huang; Ying-Ru Meng; Wen-Yau Liang

    2011-01-01

    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)...

  17. 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

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

    Directory of Open Access Journals (Sweden)

    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.

  19. Benefits and limitations of fine needle aspiration cytology in the diagnosis and classification of leprosy in primary and secondary healthcare settings.

    Science.gov (United States)

    Ray, R; Mondal, R K; Pathak, S

    2015-08-01

    The goal of the World Health Organization (WHO) is to eliminate leprosy as a public health problem. This will only be possible when all patients are detected and cured using multidrug therapy, which requires accurate diagnosis prior to treatment. The objective of this study was to evaluate the possibility of the diagnosis of leprosy lesions by fine needle aspiration cytology according to a modification of the Ridley-Jopling scale, as it can be used in primary and secondary healthcare centres, especially in low-resource settings in which leprosy is prevalent. A prospective study comprising 54 cases with cardinal features of leprosy was performed. Among the 54 cases, 27 patients consented to a histopathological biopsy procedure. The slides were stained with Giemsa, modified Ziehl-Neelsen, Papanicolaou and haematoxylin and eosin methods. Among the 54 cases, 34 were reported as tuberculoid leprosy, five as mid-borderline (BB), three as borderline lepromatous (BL) and eight as lepromatous leprosy (LL); four were unsatisfactory. Histopathological study was performed in 27 cases, which showed cyto-histological correlation in 21 cases (78%). Agreement between histological and cytological diagnosis was achieved in 12 of the 15 tuberculoid cases, one of the three BB cases, one of the two BL cases and all seven LL cases. With the implementation of the WHO classification based on patch counting, there is the possibility of the over-treatment of paucibacillary cases and under-treatment of multibacillary cases. Cytology in terms of cellular type morphology and bacteriological study can complement the WHO classification. © 2014 John Wiley & Sons Ltd.

  20. International survey on the management of Chiari 1 malformation and syringomyelia: evolving worldwide opinions.

    Science.gov (United States)

    Singhal, Ash; Cheong, Alexander; Steinbok, Paul

    2018-03-12

    In 2003, pediatric neurosurgeons were surveyed under the auspices of the education committee of the International Society for Pediatric Neurosurgery (ISPN) to determine prevailing opinions regarding the management of Chiari I malformation (C1M) with and without associated syringomyelia. In the ensuing years, there has been further information from multiple C1M studies, with regards to indications, success rates of different surgical interventions, and complications. The purpose of this study was to re-evaluate current opinions and practices in pediatric C1M. Pediatric neurosurgeons worldwide were surveyed, using an e-mail list provided by the ISPN communication committee chairperson. Respondents were given scenarios similar to the 2003 C1M survey in order to determine opinions regarding whether to surgically intervene, and if so, with which operations. Of 300 surveys electronically distributed, 122 responses were received (40.6% response rate)-an improvement over the 30.8% response rate in 2003. Pediatric neurosurgeons from 34 different countries responded. There was broad consensus that non-operative management is appropriate in asymptomatic C1M (> 90%) as well as asymptomatic C1M with a small syrinx (> 65%). With a large syrinx, a majority (almost 80%) recommended surgical intervention. Scoliotic patients with CIM were generally offered surgery only when there was a large syrinx. There has been a shift in the surgical management over the past decade, with a bone-only decompression now being offered more commonly. There remains, however, great variability in the operation offered. This survey, with a relatively strong response rate, and with broad geographic representation, summarizes current worldwide expert opinion regarding management of pediatric C1M. Asymptomatic C1M and C1M with a small syrinx are generally managed non-operatively. When an operation is indicated, there has been a shift towards less invasive surgical approaches.

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    Schmidt, Martin Jürgen; Ondreka, Nele; Sauerbrey, Maren; Volk, Holger Andreas; Rummel, Christoph; Kramer, Martin

    2012-09-06

    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. 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 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.

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

    Directory of Open Access Journals (Sweden)

    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.

  4. Heterogeneity of European DRG systems and potentials for a common EuroDRG system: Comment on "Cholecystectomy and Diagnosis-Related Groups (DRGs): patient classification and hospital reimbursement in 11 European countries"

    OpenAIRE

    Geissler, Alexander; Quentin, Wilm; Busse, Reinhard

    2015-01-01

    Diagnosis-Related Group (DRG) systems across Europe are very heterogeneous, in particular because of different classification variables and algorithms as well as costing methodologies. But, given the challenge of increasing patient mobility within Europe, health systems are forced to incorporate a common patient classification language in order to compare and identify similar patients e.g. for reimbursement purposes. Beside the national adoption of DRGs for a wide range of purposes (measuring...

  5. 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.

  6. Coronary artery anomalies. Diagnosis and classification based on cardiac CT and MRI (CMR) - from ALCAPA to anomalies of termination

    International Nuclear Information System (INIS)

    Heermann, Philipp; Heindel, Walter; Schuelke, Christoph

    2017-01-01

    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.

  7. 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

  8. Three-dimensional constructive interference in steady-state magnetic resonance imaging in syringomyelia: advantages over conventional imaging.

    Science.gov (United States)

    Roser, Florian; Ebner, Florian H; Danz, Søren; Riether, Felix; Ritz, Rainer; Dietz, Klaus; Naegele, Thomas; Tatagiba, Marcos S

    2008-05-01

    Neuroradiology has become indispensable in detecting the pathophysiology in syringomyelia. Constructive interference in steady-state (CISS) magnetic resonance (MR) imaging can provide superior contrast at the sub-arachnoid tissue borders. As this region is critical in preoperative evaluation, the authors hypothesized that CISS imaging would provide superior assessment of syrinx pathology and surgical planning. Based on records collected from a database of 130 patients with syringomyelia treated at the authors' institution, 59 patients were prospectively evaluated with complete neuroradiological examinations. In addition to routine acquisitions with FLAIR, T1- and T2-weighted, and contrast-enhanced MR imaging series, the authors obtained sagittal cardiac-gated sequences to visualize cerebrospinal fluid (CSF) pulsations and axial 3D CISS MR sequences to detect focal arachnoid webs. Statistical qualitative and quantitative evaluations of spinal cord/CSF contrast, spinal cord/CSF delineation, motion artifacts, and artifacts induced by pulsatile CSF flow were performed. The 3D CISS MR sequences demonstrated a contrast-to-noise ratio significantly better than any other routine imaging sequence (p CSF flow voids. Constructive interference in steady-state MR imaging enables the neurosurgeon to accurately identify cases requiring decompression for obstructed CSF. Motion artifacts can be eliminated with technical variations.

  9. 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.

  10. 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.

  11. 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.

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

    International Nuclear Information System (INIS)

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

    2012-01-01

    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.

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

    Science.gov (United States)

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

    2013-10-01

    Researchers from eleven countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Spain, and Sweden) compared how their DRG systems deal with breast cancer surgery patients. DRG algorithms and indicators of resource consumption were assessed for those DRGs that individually contain at least 1% of all breast cancer surgery patients. Six standardised case vignettes were defined and quasi prices according to national DRG-based hospital payment systems were ascertained. European DRG systems classify breast cancer surgery patients according to different sets of classification variables into three to seven DRGs. Quasi prices for an index case treated with partial mastectomy range from €577 in Poland to €5780 in the Netherlands. Countries award their highest payments for very different kinds of patients. Breast cancer specialists and national DRG authorities should consider how other countries' DRG systems classify breast cancer patients in order to identify potential scope for improvement and to ensure fair and appropriate reimbursement. Copyright © 2012 Elsevier Ltd. All rights reserved.

  14. 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

  15. Use of the serum anti-Müllerian hormone assay as a surrogate for polycystic ovarian morphology: impact on diagnosis and phenotypic classification of polycystic ovary syndrome.

    Science.gov (United States)

    Fraissinet, Alice; Robin, Geoffroy; Pigny, Pascal; Lefebvre, Tiphaine; Catteau-Jonard, Sophie; Dewailly, Didier

    2017-08-01

    Does the use of the serum anti-Müllerian hormone (AMH) assay to replace or complement ultrasound (U/S) affect the diagnosis or phenotypic distribution of polycystic ovary syndrome (PCOS)? Combining U/S and the serum AMH assay to define polycystic ovarian morphology (PCOM) diagnoses PCOS (according to the Rotterdam classification) in more patients than definitions using one or the other of these indicators exclusively. Since 2003, PCOM, as defined by U/S, is one of the three diagnostic criteria for PCOS. As it is closely correlated with follicle excess seen at U/S, an excessive serum AMH level could be used as a surrogate for PCOM. Single-center retrospective study from a database of prospectively collected clinical, laboratory and ultrasound data from patients referred for oligo-anovulation (OA) and/or hyperandrogenism (HA) between January 2009 and January 2016. The standard Rotterdam classification for PCOS was tested against two modified versions that defined PCOM by either excessive serum AMH level alone (AMH-only) or a combination (i.e. 'and/or') of the latter and U/S. The PCOS phenotypes were defined as A (full phenotype, OA+HA+PCOM), B (OA+HA), C (HA+PCOM) and D (OA+PCOM). PCOS was more frequently diagnosed when PCOM was defined as the combination 'positive U/S' and/or 'positive AMH' (n = 639) than by either only U/S-only (standard definition, n = 612) or by AMH-only (n = 601). With this combination, PCOM was recognized in 637 of the 639 cases that met the Rotterdam classification, and phenotype B practically disappeared. In this population, U/S and AMH markers were discordant for PCOM in 103 (16.1%) cases (9% U/S-only, 7.1% AMH-only, P = 0.159). The markers used had no other significant impact on the phenotypic distribution (except for phenotype B). However, the percentage of cases positive by U/S-only was significantly higher in phenotype D than in phenotype A (14.1% vs. 5.8%, P < 0.05). Furthermore, in the discordant cases, plasma LH levels were

  16. Coronary artery bypass grafts and diagnosis related groups: patient classification and hospital reimbursement in 10 European countries

    Science.gov (United States)

    2014-01-01

    Background The prospective reimbursement of hospitals through the grouping of patients into a finite number of categories (Diagnosis Related Groups, DRGs), is common to many European countries. However, the specific categories used vary greatly across countries, using different characteristics to define group boundaries and thus those characteristics which result in different payments for treatment. In order to assist in the construction and modification of national DRG systems, this study analyses the DRG systems of 10 European countries. Aims To compare the characteristics used to categorise patients receiving a coronary artery bypass graft (CABG) surgery into DRGs. Further, to compare the structure into which DRGs are placed and the relative price paid for patients across Europe. Method Patients with a procedure of CABG surgery are analysed from Austria, England, Estonia, Finland, France, Germany, Ireland, Poland, Spain and Sweden. Diagrammatic algorithms of DRG structures are presented for each country. The price in Euros of seven typical case vignettes, each made up of a set of a hypothetical patient’s characteristics, is also analysed for each country. In order to enable comparisons across countries the simplest case (index vignette) is taken as baseline and relative price levels are calculated for the other six vignettes, each representing patients with different combinations of procedures and comorbidities. Results European DRG payment structures for CABG surgery vary in terms of the number of different DRGs used and the types of distinctions which define patient categorisation. Based on the payments given to hospitals in different countries, the most resource intensive patient, relative to the index vignette, ranges in magnitude from 1.37 in Poland to 2.82 in Ireland. There is also considerable variation in how much different systems pay for particular circumstances, such as the occurrence of catheterisation or presence of comorbidity. Conclusion Past

  17. Inherited occipital hypoplasia/syringomyelia in the cavalier King Charles spaniel: experiences in setting up a worldwide DNA collection.

    Science.gov (United States)

    Rusbridge, Clare; Knowler, Penny; Rouleau, Guy A; Minassian, Berge A; Rothuizen, Jan

    2005-01-01

    Inherited diseases commonly emerge within pedigree dog populations, often due to use of repeatedly bred carrier sire(s) within a small gene pool. Accurate family records are usually available making linkage analysis possible. However, there are many factors that are intrinsically difficult about collecting DNA and collating pedigree information from a large canine population. The keys to a successful DNA collection program include (1) the need to establish and maintain support from the pedigree breed clubs and pet owners; (2) committed individual(s) who can devote the considerable amount of time and energy to coordinating sample collection and communicating with breeders and clubs; and (3) providing means by which genotypic and phenotypic information can be easily collected and stored. In this article we described the clinical characteristics of inherited occipital hypoplasia/syringomyelia (Chiari type I malformation) in the cavalier King Charles spaniel and our experiences in establishing a pedigree and DNA database to study the disease.

  18. Evaluation of the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) classification scheme for diagnosis of cutaneous melanocytic neoplasms: Results from the International Melanoma Pathology Study Group.

    Science.gov (United States)

    Lott, Jason P; Elmore, Joann G; Zhao, Ge A; Knezevich, Stevan R; Frederick, Paul D; Reisch, Lisa M; Chu, Emily Y; Cook, Martin G; Duncan, Lyn M; Elenitsas, Rosalie; Gerami, Pedram; Landman, Gilles; Lowe, Lori; Messina, Jane L; Mihm, Martin C; van den Oord, Joost J; Rabkin, Michael S; Schmidt, Birgitta; Shea, Christopher R; Yun, Sook Jung; Xu, George X; Piepkorn, Michael W; Elder, David E; Barnhill, Raymond L

    2016-08-01

    Pathologists use diverse terminology when interpreting melanocytic neoplasms, potentially compromising quality of care. We sought to evaluate the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) scheme, a 5-category classification system for melanocytic lesions. Participants (n = 16) of the 2013 International Melanoma Pathology Study Group Workshop provided independent case-level diagnoses and treatment suggestions for 48 melanocytic lesions. Individual diagnoses (including, when necessary, least and most severe diagnoses) were mapped to corresponding MPATH-Dx classes. Interrater agreement and correlation between MPATH-Dx categorization and treatment suggestions were evaluated. Most participants were board-certified dermatopathologists (n = 15), age 50 years or older (n = 12), male (n = 9), based in the United States (n = 11), and primary academic faculty (n = 14). Overall, participants generated 634 case-level diagnoses with treatment suggestions. Mean weighted kappa coefficients for diagnostic agreement after MPATH-Dx mapping (assuming least and most severe diagnoses, when necessary) were 0.70 (95% confidence interval 0.68-0.71) and 0.72 (95% confidence interval 0.71-0.73), respectively, whereas correlation between MPATH-Dx categorization and treatment suggestions was 0.91. This was a small sample size of experienced pathologists in a testing situation. Varying diagnostic nomenclature can be classified into a concise hierarchy using the MPATH-Dx scheme. Further research is needed to determine whether this classification system can facilitate diagnostic concordance in general pathology practice and improve patient care. Copyright © 2016 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.

  19. Quality improvement of International Classification of Diseases, 9th revision, diagnosis coding in radiation oncology: single-institution prospective study at University of California, San Francisco.

    Science.gov (United States)

    Chen, Chien P; Braunstein, Steve; Mourad, Michelle; Hsu, I-Chow J; Haas-Kogan, Daphne; Roach, Mack; Fogh, Shannon E

    2015-01-01

    Accurate International Classification of Diseases (ICD) diagnosis coding is critical for patient care, billing purposes, and research endeavors. In this single-institution study, we evaluated our baseline ICD-9 (9th revision) diagnosis coding accuracy, identified the most common errors contributing to inaccurate coding, and implemented a multimodality strategy to improve radiation oncology coding. We prospectively studied ICD-9 coding accuracy in our radiation therapy--specific electronic medical record system. Baseline ICD-9 coding accuracy was obtained from chart review targeting ICD-9 coding accuracy of all patients treated at our institution between March and June of 2010. To improve performance an educational session highlighted common coding errors, and a user-friendly software tool, RadOnc ICD Search, version 1.0, for coding radiation oncology specific diagnoses was implemented. We then prospectively analyzed ICD-9 coding accuracy for all patients treated from July 2010 to June 2011, with the goal of maintaining 80% or higher coding accuracy. Data on coding accuracy were analyzed and fed back monthly to individual providers. Baseline coding accuracy for physicians was 463 of 661 (70%) cases. Only 46% of physicians had coding accuracy above 80%. The most common errors involved metastatic cases, whereby primary or secondary site ICD-9 codes were either incorrect or missing, and special procedures such as stereotactic radiosurgery cases. After implementing our project, overall coding accuracy rose to 92% (range, 86%-96%). The median accuracy for all physicians was 93% (range, 77%-100%) with only 1 attending having accuracy below 80%. Incorrect primary and secondary ICD-9 codes in metastatic cases showed the most significant improvement (10% vs 2% after intervention). Identifying common coding errors and implementing both education and systems changes led to significantly improved coding accuracy. This quality assurance project highlights the potential problem

  20. 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.)

  1. Novel use of gamma correction for precise 99mTc-HDP pinhole bone scan diagnosis and classification of knee occult fractures

    International Nuclear Information System (INIS)

    Bahk, Yong-Whee; Jeon, Ho-Seung; Kim, Jang Min; Park, Jung Mee; Kim, Sung-Hoon; Chung, Soo-Kyo; Chung, Yong-An; Kim, E.E.

    2010-01-01

    The aim of this study was to introduce gamma correction pinhole bone scan (GCPBS) to depict specific signs of knee occult fractures (OF) on 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 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.)

  2. Use of the International Classification of Headache Disorders, Second Edition, criteria in the diagnosis of primary headache in schoolchildren: epidemiology study from eastern Turkey.

    Science.gov (United States)

    Alp, Recep; Alp, Selen Ilhan; Palanci, Yilmaz; Sur, Haydar; Boru, Ulku Turk; Ozge, Aynur; Yapici, Zuhal

    2010-07-01

    We aimed to determine the prevalence of primary headache among schoolchildren in the city of Agri, located in eastern Turkey, where geographical, climatic and socio-economic conditions differ greatly from those of other regions of Turkey. A cross-sectional school-based (ages ranging from 11 to 18) study was conducted from January to April 2006. Diagnosis was based on the second edition of the International Classification of Headache Disorders. This population was evaluated by a two-stage clustered sampling procedure. In the first phase, 1385 children were asked whether they had had a headache within the past year. For the second-step interview, 540 children (38.9%) with a complaint of headache were selected. Five children who had complained of headaches in the first interview did not agree to participate in the second stage. Of the remaining 535, 473 were identified as having primary headache and 62 as having secondary headache. Overall, one-year prevalence of headache subtypes was 14.3% for migraine, 3.5% for probable migraine, 8.6% for pure tension-type headache, 4.6% for migraine plus tension-type headache, and 3.0% for probable migraine plus tension-type headache. The prevalence of migraine was higher in our study than in previous studies.

  3. Heterogeneity of European DRG Systems and Potentials for a Common Eurodrg System; Comment on “Cholecystectomy and Diagnosis-Related Groups (DRGs: Patient Classification and Hospital Reimbursement in 11 European Countries”

    Directory of Open Access Journals (Sweden)

    Alexander Geissler

    2015-05-01

    Full Text Available Diagnosis-Related Group (DRG systems across Europe are very heterogeneous, in particular because of different classification variables and algorithms as well as costing methodologies. But, given the challenge of increasing patient mobility within Europe, health systems are forced to incorporate a common patient classification language in order to compare and identify similar patients e.g. for reimbursement purposes. Beside the national adoption of DRGs for a wide range of purposes (measuring hospital activity vs. paying hospitals, a common DRG system can serve as an international communication basis among health administrators and can reduce the national development efforts as it is demonstrated by the NordDRG consortium.

  4. 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.

  5. Clavicular fractures: Classification, diagnosis, therapy

    International Nuclear Information System (INIS)

    Schunk, K.; Strunk, H.; Schild, H.; Lohr, S.

    1988-01-01

    Clavicular fracture is one of the most frequent skeletal lesions. In most cases the median third of the clavicula is affected (this is due to the peculiar biomechanical structure). Accompanying lesions and complications of clavicular fractures are rare. A total of 13 X-ray diagnostic techniques are described of clavicular fractures. X-ray film should, as a matter of principle, always be taken in two planes. Definitely the major part of clavicular fractures are treated conservatively (rucsac dressing), whereas surgery is reserved for few and strictly defined indications. (orig.) [de

  6. Clavicular fractures: Classification, diagnosis, therapy

    Energy Technology Data Exchange (ETDEWEB)

    Schunk, K.; Strunk, H.; Schild, H.; Lohr, S.

    1988-09-01

    Clavicular fracture is one of the most frequent skeletal lesions. In most cases the median third of the clavicula is affected (this is due to the peculiar biomechanical structure). Accompanying lesions and complications of clavicular fractures are rare. A total of 13 X-ray diagnostic techniques are described of clavicular fractures. X-ray film should, as a matter of principle, always be taken in two planes. Definitely the major part of clavicular fractures are treated conservatively (rucsac dressing), whereas surgery is reserved for few and strictly defined indications.

  7. 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.

  8. 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

  9. Heterogeneity of European DRG systems and potentials for a common EuroDRG system Comment on "Cholecystectomy and Diagnosis-Related Groups (DRGs): patient classification and hospital reimbursement in 11 European countries".

    Science.gov (United States)

    Geissler, Alexander; Quentin, Wilm; Busse, Reinhard

    2015-03-05

    Diagnosis-Related Group (DRG) systems across Europe are very heterogeneous, in particular because of different classification variables and algorithms as well as costing methodologies. But, given the challenge of increasing patient mobility within Europe, health systems are forced to incorporate a common patient classification language in order to compare and identify similar patients e.g. for reimbursement purposes. Beside the national adoption of DRGs for a wide range of purposes (measuring hospital activity vs. paying hospitals), a common DRG system can serve as an international communication basis among health administrators and can reduce the national development efforts as it is demonstrated by the NordDRG consortium. © 2015 by Kerman University of Medical Sciences.

  10. Classifying Classifications

    DEFF Research Database (Denmark)

    Debus, Michael S.

    2017-01-01

    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...... 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...... into the topic of game classifications....

  11. 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.

  12. 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

    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...

  13. 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.

  14. 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...

  15. The diagnosis and management of pre-invasive breast disease: Ductal carcinoma in situ (DCIS) and atypical ductal hyperplasia (ADH) – current definitions and classification

    International Nuclear Information System (INIS)

    Pinder, Sarah E; Ellis, Ian O

    2003-01-01

    Intraductal epithelial proliferations of the breast are at present classified into three groups; distinction is made histologically and clinically between usual epithelial hyperplasia and atypical ductal hyperplasia (ADH) and between ADH and ductal carcinoma in situ (DCIS). Although evidence indicates that these boundaries are not ideal on a morphological, immunohistochemical, or genetic basis, this three-tier system is accepted and used at present. The current definitions, histological features, and system of classification of ADH and DCIS are described in this manuscript

  16. 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.

  17. Describing the brain in autism in five dimensions--magnetic resonance imaging-assisted diagnosis of autism spectrum disorder using a multiparameter classification approach.

    Science.gov (United States)

    Ecker, Christine; Marquand, Andre; Mourão-Miranda, Janaina; Johnston, Patrick; Daly, Eileen M; Brammer, Michael J; Maltezos, Stefanos; Murphy, Clodagh M; Robertson, Dene; Williams, Steven C; Murphy, Declan G M

    2010-08-11

    Autism spectrum disorder (ASD) is a neurodevelopmental condition with multiple causes, comorbid conditions, and a wide range in the type and severity of symptoms expressed by different individuals. This makes the neuroanatomy of autism inherently difficult to describe. Here, we demonstrate how a multiparameter classification approach can be used to characterize the complex and subtle structural pattern of gray matter anatomy implicated in adults with ASD, and to reveal spatially distributed patterns of discriminating regions for a variety of parameters describing brain anatomy. A set of five morphological parameters including volumetric and geometric features at each spatial location on the cortical surface was used to discriminate between people with ASD and controls using a support vector machine (SVM) analytic approach, and to find a spatially distributed pattern of regions with maximal classification weights. On the basis of these patterns, SVM was able to identify individuals with ASD at a sensitivity and specificity of up to 90% and 80%, respectively. However, the ability of individual cortical features to discriminate between groups was highly variable, and the discriminating patterns of regions varied across parameters. The classification was specific to ASD rather than neurodevelopmental conditions in general (e.g., attention deficit hyperactivity disorder). Our results confirm the hypothesis that the neuroanatomy of autism is truly multidimensional, and affects multiple and most likely independent cortical features. The spatial patterns detected using SVM may help further exploration of the specific genetic and neuropathological underpinnings of ASD, and provide new insights into the most likely multifactorial etiology of the condition.

  18. 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...... on characterizing human faces and emphysema disease in lung CT images....

  19. 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

  20. 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.

  1. 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.)

  2. 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

  3. Tumor Size Evaluation according to the T Component of the Seventh Edition of the International Association for the Study of Lung Cancer's TNM Classification: Interobserver Agreement between Radiologists and Computer-Aided Diagnosis System in Patients with Lung Cancer

    International Nuclear Information System (INIS)

    Kim, Jin Kyoung; Chong, Se Min; Seo, Jae Seung; Lee, Sun Jin; Han, Heon

    2011-01-01

    To assess the interobserver agreement for tumor size evaluation between radiologists and the computer-aided diagnosis (CAD) system based on the 7th edition of the TNM classification by the International Association for the Study of Lung Cancer in patients with lung cancer. We evaluated 20 patients who underwent a lobectomy or pneumonectomy for primary lung cancer. The maximum diameter of each primary tumor was measured by two radiologists and a CAD system on CT, and was staged based on the 7th edition of the TNM classification. The CT size and T-staging of the primary tumors was compared with the pathologic size and staging and the variability in the sizes and T stages of primary tumors was statistically analyzed between each radiologist's measurement or CAD estimation and the pathologic results. There was no statistically significant interobserver difference for the CT size among the two radiologists, between pathologic and CT size estimated by the radiologists, and between pathologic and CT staging by the radiologists and CAD system. However, there was a statistically significant interobserver difference between pathologic size and the CT size estimated by the CAD system (p = 0.003). No significant differences were found in the measurement of tumor size among radiologists or in the assessment of T-staging by radiologists and the CAD system.

  4. 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

  5. Casemix classification systems.

    Science.gov (United States)

    Fetter, R B

    1999-01-01

    The idea of using casemix classification to manage hospital services is not new, but has been limited by available technology. It was not until after the introduction of Medicare in the United States in 1965 that serious attempts were made to measure hospital production in order to contain spiralling costs. This resulted in a system of casemix classification known as diagnosis related groups (DRGs). This paper traces the development of DRGs and their evolution from the initial version to the All Patient Refined DRGs developed in 1991.

  6. 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.

  7. The EAACI/GA(2) LEN/EDF/WAO Guideline for the definition, classification, diagnosis, and management of urticaria: the 2013 revision and update.

    Science.gov (United States)

    Zuberbier, T; Aberer, W; Asero, R; Bindslev-Jensen, C; Brzoza, Z; Canonica, G W; Church, M K; Ensina, L F; Giménez-Arnau, A; Godse, K; Gonçalo, M; Grattan, C; Hebert, J; Hide, M; Kaplan, A; Kapp, A; Abdul Latiff, A H; Mathelier-Fusade, P; Metz, M; Nast, A; Saini, S S; Sánchez-Borges, M; Schmid-Grendelmeier, P; Simons, F E R; Staubach, P; Sussman, G; Toubi, E; Vena, G A; Wedi, B; Zhu, X J; Maurer, M

    2014-07-01

    This guideline is the result of a systematic literature review using the 'Grading of Recommendations Assessment, Development and Evaluation' (GRADE) methodology and a structured consensus conference held on 28 and 29 November 2012, in Berlin. It is a joint initiative of the Dermatology Section 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-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). © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

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

    Science.gov (United States)

    Zuberbier, T; Aberer, W; Asero, R; Abdul Latiff, A H; Baker, D; Ballmer-Weber, B; Bernstein, J A; Bindslev-Jensen, C; Brzoza, Z; Buense Bedrikow, R; Canonica, G W; Church, M K; Craig, T; Danilycheva, I V; Dressler, C; Ensina, L F; Giménez-Arnau, A; Godse, K; Gonçalo, M; Grattan, C; Hebert, J; Hide, M; Kaplan, A; Kapp, A; Katelaris, C H; Kocatürk, E; Kulthanan, K; Larenas-Linnemann, D; Leslie, T A; Magerl, M; Mathelier-Fusade, P; Meshkova, R Y; Metz, M; Nast, A; Nettis, E; Oude-Elberink, H; Rosumeck, S; Saini, S S; Sánchez-Borges, M; Schmid-Grendelmeier, P; Staubach, P; Sussman, G; Toubi, E; Vena, G A; Vestergaard, C; Wedi, B; Werner, R N; Zhao, Z; Maurer, M

    2018-01-15

    This evidence and consensus-based guideline was developed following the methods recommended by Cochrane and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group. The conference was held on December 1st, 2016. It is a joint initiative of the Dermatology Section 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 and international societies. This guideline was acknowledged and accepted by the European Union of Medical Specialists (UEMS). Urticaria is a frequent, mast cell-driven disease, presenting with wheals, angioedema, or both. The lifetime prevalence for acute urticaria is approximately 20%. Chronic spontaneous 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. In addition, it outlines evidence-based diagnostic and therapeutic approaches for the different subtypes of urticaria. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

  9. The EAACI/GA2LEN/EDF/WAO Guideline for the definition, classification, diagnosis, and management of urticaria: the 2013 revision and update

    Directory of Open Access Journals (Sweden)

    T. Zuberbier

    2015-05-01

    Full Text Available This guideline is the result of a systematic literature review using the ‘Grading of Recommendations Assessment, Development and Evaluation’ (GRADE methodology and a structured consensus conference held on 28 and 29 November 2012, in Berlin. It is a joint initiative of the Dermatology Section of the European Academy of Allergy and Clinical Immunology (EAACI, the EU-funded 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 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-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.

  10. Small vessel vasculitis History, classification, etiology, histopathology, clinic, diagnosis and treatment; Vasculitis de pequenos vasos. Historia, clasificacion, etiologia, histopatologia, clinica, diagnostico y tratamiento

    Energy Technology Data Exchange (ETDEWEB)

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

    2007-07-01

    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.

  11. Classification of atrophic mucosal patterns on Blue LASER Imaging for endoscopic diagnosis of Helicobacter pylori-related gastritis: A retrospective, observational study.

    Science.gov (United States)

    Nishikawa, Yoshiyuki; Ikeda, Yoshio; Murakami, Hidehiro; Hori, Shin-Ichiro; Hino, Kaori; Sasaki, Chise; Nishikawa, Megumi

    2018-01-01

    Atrophic gastritis can be classified according to characteristic mucosal patterns observed by Blue LASER Imaging (BLI) in a medium-range to distant view. To facilitate the endoscopic diagnosis of Helicobacter pylori (HP)-related gastritis, we investigated whether atrophic mucosal patterns correlated with HP infection based on the image interpretations of three endoscopists blinded to clinical features. This study included 441 patients diagnosed as having atrophic gastritis by upper gastrointestinal endoscopy at Nishikawa Gastrointestinal Clinic between April 1, 2015 and March 31, 2016. The presence/absence of HP infection was not taken into consideration. Endoscopy was performed using a Fujifilm EG-L580NW scope. Atrophic mucosal patterns observed by BLI were classified into Spotty, Cracked and Mottled. Image interpretation results were that 89, 122 and 228 patients had the Spotty, Cracked and Mottled patterns, respectively, and 2 patients an undetermined pattern. Further analyses were performed on 439 patients, excluding the 2 with undetermined patterns. The numbers of patients testing negative/positive for HP infection in the Spotty, Cracked and Mottled pattern groups were 12/77, 105/17, and 138/90, respectively. The specificity, positive predictive value and positive likelihood ratio for endoscopic diagnosis with positive HP infection based on the Spotty pattern were 95.3%, 86.5% and 8.9, respectively. In all patients with the Spotty pattern before HP eradication, the Cracked pattern was observed on subsequent post-eradication endoscopy. The Spotty pattern may represent the presence of HP infection, the Cracked pattern, a post-inflammatory change as seen after HP eradication, and the Mottled pattern, intestinal metaplasia.

  12. Bosniak Classification system

    DEFF Research Database (Denmark)

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

    2014-01-01

    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....... Purpose: To investigate the inter- and intra-observer agreement among experienced uroradiologists when categorizing complex renal cysts according to the Bosniak classification. Material and Methods: The original categories of 100 cystic renal masses were chosen as “Gold Standard” (GS), established...... to the calculated weighted κ all readers performed “very good” for both inter-observer and intra-observer variation. Most variation was seen in cysts catagorized as Bosniak II, IIF, and III. These results show that radiologists who evaluate complex renal cysts routinely may apply the Bosniak classification...

  13. Grey zones in the diagnosis of adult migraine without aura based on the International Classification of Headache Disorders-III beta: exploring the covariates of possible migraine without aura.

    Science.gov (United States)

    Ozge, Aynur; Aydinlar, Elif; Tasdelen, Bahar

    2015-01-01

    Exploring clinical characteristics and migraine covariates may be useful in the diagnosis of migraine without aura. To evaluate the diagnostic value of the International Classification of Headache Disorders (ICHD)-III beta-based diagnosis of migraine without aura; to explore the covariates of possible migraine without aura using an analysis of grey zones in this area; and, finally, to make suggestions for the final version of the ICHD-III. A total of 1365 patients (mean [± SD] age 38.5±10.4 years, 82.8% female) diagnosed with migraine without aura according to the criteria of the ICHD-III beta were included in the present tertiary care-based retrospective study. Patients meeting all of the criteria of the ICHD-III beta were classified as having full migraine without aura, while those who did not meet one, two or ≥3 of the diagnostic criteria were classified as zones I, II and III, respectively. The diagnostic value of the clinical characteristics and covariates of migraine were determined. Full migraine without aura was evident in 25.7% of the migraineurs. A higher likelihood of zone I classification was shown for an attack lasting 4 h to 72 h (OR 1.560; P=0.002), with pulsating quality (OR 4.096; P<0.001), concomitant nausea⁄vomiting (OR 2.300; P<0.001) and photophobia⁄phonophobia (OR 4.865; P<0.001). The first-rank determinants for full migraine without aura were sleep irregularities (OR 1.596; P=0.005) and periodic vomiting (OR 1.464; P=0.026). However, even if not mentioned in ICHD-III beta, the authors determined that motion sickness, abdominal pain or infantile colic attacks in childhood, associated dizziness and osmophobia have important diagnostic value. In cases that do not fulfill all of the diagnostic criteria although they are largely consistent with the characteristics of migraine in clinical terms, the authors believe that a history of infantile colic; periodic vomiting (but not periodic vomiting syndrome); recurrent abdominal pain; the

  14. Classification of pyodestructive pulmonary diseases

    International Nuclear Information System (INIS)

    Muromskij, Yu.A.; Semivolkov, V.I.; Shlenova, L.A.

    1993-01-01

    Classification of pyodestructive lungs diseases, thier complications and outcomes is proposed which makes it possible for physioians engaged in studying respiratory organs pathology to orient themselves in problems of diagnosis and treatment tactics. The above classification is developed on the basis of studying the disease anamnesis and its clinical process, as well as on the basis of roentgenological and morphological study results by more than 10000 patients

  15. A simple phenotypic classification for celiac disease

    Directory of Open Access Journals (Sweden)

    Ajit Sood

    2018-04-01

    Full Text Available Background/Aims : Celiac disease is a global health problem. The presentation of celiac disease has unfolded over years and it is now known that it can manifest at different ages, has varied presentations, and is prone to develop complications, if not managed properly. Although the Oslo definitions provide consensus on the various terminologies used in literature, there is no phenotypic classification providing a composite diagnosis for the disease. Methods : Various variables identified for phenotypic classification included age at diagnosis, age at onset of symptoms, clinical presentation, family history and complications. These were applied to the existing registry of 1,664 patients at Dayanand Medical College and Hospital, Ludhiana, India. In addition, age was evaluated as below 15 and below 18 years. Cross tabulations were used for the verification of the classification using the existing data. Expert opinion was sought from both international and national experts of varying fields. Results : After empirical verification, age at diagnosis was considered appropriate in between A1 (<18 and A2 (≧18. The disease presentation has been classified into 3 types–P1 (classical, P2 (non-classical and P3 (asymptomatic. Complications were considered as absent (C0 or present (C1. A single phenotypic classification based on these 3 characteristics, namely age at the diagnosis, clinical presentation, and intestinal complications (APC classification was derived. Conclusions : APC classification (age at diagnosis, presentation, complications is a simple disease explanatory classification for patients with celiac disease aimed at providing a composite diagnosis.

  16. 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.

  17. Pulmonary Edema: Classification, Mechanisms of Development, Diagnosis

    Directory of Open Access Journals (Sweden)

    V. V. Moroz

    2009-01-01

    Full Text Available Pulmonary edema remains a topical problem of modern reanimatology. In clinical practice, there is a need for continuous monitoring of the content of extravascular water in the lung and the pulmonary vascular permeability index for the timely detection and treatment of pulmonary edema. This literature review considers the minor mechanisms of pulmonary extravas-cular water exchange in health and in different types of pulmonary edema (acute lung injury, pneumonia, sepsis, postoperative period, burns, injuries etc., as well as the most accessible current (irradiation and dilution studies permitting an estimate of the level of pulmonary extravascular water and the pulmonary vascular permeability index in clinical practice. Key words: pulmonary edema, acute lung injury, pulmonary extravascular water, pulmonary vascular permeability index.

  18. Autism Spectrum Disorder classification, diagnosis and therapy.

    Science.gov (United States)

    Sharma, Samata R; Gonda, Xenia; Tarazi, Frank I

    2018-05-12

    Autism Spectrum Disorder (ASD) refers to a group of neurodevelopmental disorders including autism, Asperger's syndrome (AS) and pervasive developmental disorder-not otherwise specified (PDD-NOS). The new diagnostic criteria of ASD focuses on two core domains: social communication impairment and restricted interests/repetitive behaviors. The prevalence of ASD has been steadily increasing over the past two decades, with current estimates reaching up to 1 in 36 children. Hereditary factors, parental history of psychiatric disorders, pre-term births, and fetal exposure to psychotropic drugs or insecticides have all been linked to higher risk of ASD. Several scales such as the Childhood Autism Rating Scale (CARS), The Autism Spectrum Disorder-Observation for Children (ASD-OC), The Developmental, Dimensional, and Diagnostic Interview (3di), are available to aid in better assessing the behaviors and symptoms associated with ASD. Nearly 75% of ASD patients suffer from comorbid psychiatric illnesses or conditions, which may include attention-deficit hyperactivity disorder (ADHD), anxiety, bipolar disorder, depression, Tourette syndrome, and others. Both pharmacological and non-pharmacological interventions are available for ASD. Pharmacological treatments include psychostimulants, atypical antipsychotics, antidepressants, and alpha-2 adrenergic receptor agonists. These medications provide partial symptomatic relief of core symptoms of ASD or manage the symptoms of comorbid conditions. Non-pharmacological interventions, which show promising evidence in improving social interaction and verbal communication of ASD patients, include music therapy, cognitive behavioral therapy and social behavioral therapy. Hormonal therapies with oxytocyin or vasopressin receptor antagonists have also shown some promise in improving core ASD symptoms. The use of vitamins, herbal remedies and nutritional supplements in conjunction with pharmacological and behavioral treatment appear to have some effect in symptomatic improvement in ASD, though additional studies are needed to confirm these benefits. Developing novel disease-modifying therapies may prove to be the ultimate intervention for sustained improvement of symptoms in ASD. Copyright © 2018. Published by Elsevier Inc.

  19. Diagnosis and classification of erythrocytoses and thrombocytoses.

    Science.gov (United States)

    Pearson, T C

    1998-12-01

    An erythrocytosis describes an increased peripheral blood packed cell volume (PCV) and is deemed to be absolute or apparent depending on whether or not the measured red cell mass (RCM) is above the reference range. This reference range must be related to the individual's height and weight to avoid erroneous interpretations using ml/kg total body weight expressions in obesity. Absolute erythrocytoses are divided into primary, where the erythropoietic compartment is intrinsically abnormal, secondary, where the erythropoietic compartment is normal but is responding to external pathological events leading to an increased erythropoietin drive, and idiopathic, where neither a primary nor a secondary erythrocytosis can be established. Both primary and secondary erythrocytoses have congenital and acquired forms. The only form of primary acquired erythrocytosis that has been defined is the clonal myeloproliferative disorder, polycythaemia vera (PV). Modified diagnostic markers for PV are proposed. Thrombocytoses can be classified into primary, where megakaryopoiesis is intrinsically abnormal, secondary, where megakaryopoiesis is normal but increased platelet production is a reaction to some other unrelated pathology, and finally idiopathic. This latter new group would be used for patients not satisfying the criteria for primary or secondary thrombocytoses, if these were more precise and rigidly used than currently is the case. While theoretically congenital and acquired forms of primary and secondary thrombocytoses might exist, only one cause of secondary congenital thrombocytosis has been established, and primary congenital thrombocytosis has not yet been precisely defined. Primary (essential) thrombocythaemia (PT) is one of the forms of primary acquired thrombocytoses. The diagnostic criteria of PT traditionally involve the exclusion of secondary thrombocytoses and other myeloproliferative disorders but marrow histology could hold a key positive diagnostic role if objective histological features of PT were agreed.

  20. 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.

  1. Diagnosis and classification of autoimmune orchitis.

    Science.gov (United States)

    Silva, C A; Cocuzza, M; Carvalho, J F; Bonfá, E

    2014-01-01

    Autoimmune orchitis is characterized by testis inflammation and the presence of specific antisperm antibodies (ASA). It is classified in two categories. Primary autoimmune orchitis is defined by infertility and asymptomatic orchitis associated with ASA (100%) directed to the basement membrane or seminiferous tubules in infertile men, without any systemic disease and usually asymptomatic. Secondary autoimmune orchitis is characterized by symptomatic orchitis and/or testicular vasculiti`s associated with a systemic autoimmune disease, particularly vasculitis. These patients typically demonstrate testicular pain, erythema and/or swelling. ASA in secondary autoimmune orchitis have been reported in up to 50% of patients, especially in systemic lupus erythematosus patients. The pathogenesis of primary as well as secondary autoimmune orchitis is still unknown. Although the etiology is likely to be multifactorial, testicular inflammation, infection or trauma may induce T cell response with pro-inflammatory cytokine production with a consequent blood-testis-barrier permeability alteration, ASA production and apoptosis of spermatocytes and spermatids. ASA is known to cause immobilization and/or agglutination of spermatozoa, which may block sperm-egg interaction resulting in infertility. Assisted reproduction has been used as an efficient option in primary cases and immunosuppressive therapy for secondary autoimmune orchitis, although there is no double-blind, randomized trial to confirm the efficacy of any treatment regimens for these conditions. Copyright © 2014 Elsevier B.V. All rights reserved.

  2. 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...... recruited from nine different tertiary referral centres. All patients underwent examination by specialists in dermatology and were checked using relevant allergy testing. Patients were classified into one of the six diagnostic subgroups of HE: allergic contact dermatitis, irritant contact dermatitis, atopic...... system investigated in the present study was useful, being able to give an appropriate main diagnosis for 89% of HE patients, and for another 7% when using two main diagnoses. The fact that more than half of the patients had one or more additional diagnoses illustrates that HE is a multifactorial disease....

  3. 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...

  4. 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.

  5. 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.

  6. 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

  7. 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)...

  8. Protocol for a qualitative study exploring perspectives on the INternational CLassification of Diseases (11th revision); Using lived experience to improve mental health Diagnosis in NHS England: INCLUDE study.

    Science.gov (United States)

    Hackmann, Corinna; Green, Amanda; Notley, Caitlin; Perkins, Amorette; Reed, Geoffrey M; Ridler, Joseph; Wilson, Jon; Shakespeare, Tom

    2017-09-03

    Developed in dialogue with WHO, this research aims to incorporate lived experience and views in the refinement of the International Classification of Diseases Mental and Behavioural Disorders 11th Revision (ICD-11). The validity and clinical utility of psychiatric diagnostic systems has been questioned by both service users and clinicians, as not all aspects reflect their lived experience or are user friendly. This is critical as evidence suggests that diagnosis can impact service user experience, identity, service use and outcomes. Feedback and recommendations from service users and clinicians should help minimise the potential for unintended negative consequences and improve the accuracy, validity and clinical utility of the ICD-11. The name INCLUDE reflects the value of expertise by experience as all aspects of the proposed study are co-produced. Feedback on the planned criteria for the ICD-11 will be sought through focus groups with service users and clinicians. The data from these groups will be coded and inductively analysed using a thematic analysis approach. Findings from this will be used to form the basis of co-produced recommendations for the ICD-11. Two service user focus groups will be conducted for each of these diagnoses: Personality Disorder, Bipolar I Disorder, Schizophrenia, Depressive Disorder and Generalised Anxiety Disorder. There will be four focus groups with clinicians (psychiatrists, general practitioners and clinical psychologists). This study has received ethical approval from the Coventry and Warwickshire HRA Research Ethics Committee (16/WM/0479). The output for the project will be recommendations that reflect the views and experiences of experts by experience (service users and clinicians). The findings will be disseminated via conferences and peer-reviewed publications. As the ICD is an international tool, the aim is for the methodology to be internationally disseminated for replication by other groups. ClinicalTrials.gov: NCT03131505

  9. Znaczenie diagnostyczne klasyfikacji rozwojowych we wczesnym rozpoznaniu mózgowego porażenia dziecięcego = The diagnostic importance of diagnostic developmental classifications in the early diagnosis of cerebral palsy

    Directory of Open Access Journals (Sweden)

    Agnieszka Strączyńska

    2016-01-01

      Streszczenie Skale rozwojowe są powszechnie stosowane w programie wczesnej interwencji. Zaleca się ich stosowanie w ocenie motorycznej niemowląt i małych dzieci, jako podstawowe narzędzia diagnostyczne i prognozujące cel terapii. Badanie neurorozwojowe mają przede wszystkim na celu wykrywanie zagrożenia występowania mózgowego porażenia dziecięcego i innych deficytów wynikających z zaburzenia ośrodkowego układu nerwowego. W dostępnej literaturze opisano wiele klasyfikacji rozwojowych jednak nie zawsze odznaczają się one wysoką specyficznością i czułością w określaniu poziomu nieprawidłowości. Praca ma na celu przybliżenia cech charakterystycznych poszczególnych testów diagnostycznych z oceną ich rzetelności i trafności zastosowania we wczesnym rozpoznaniu mózgowego porażenia dziecięcego.   Słowa kluczowe: mózgowe porażenie dziecięce, diagnostyka niemowlaków, testy przesiewowe, zaburzenia rozwoju.   Abstract The developmental scales are widely used in the early intervention. It They areis recommended to be for used in the motor assessments  in of infants and young children, as the basic diagnostic tools and forecasting the therapeutic target. The neurodevelopmental examinations are primarily aimed at detecting the risk (risk factors of cerebral palsy and other deficits consequent resulting from disorders of the central nervous system. The literature describes many developmental classifications, however, not always are they are characterized by high specificity and sensitivity in determining the level of disabilities. The paper aims to introduce the characteristics of individual diagnostic tests and simultaneously with evaluation of their reliability and application validity of the application in early diagnosis of cerebral palsy. Keywords: cerebral palsy, developmental disorders, infant diagnostics infants, screening tests.

  10. 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.

  11. Diagnosis of epitheliod leiomyoma

    International Nuclear Information System (INIS)

    Tret'yakov, A.E.; Shevyakov, V.V.

    1992-01-01

    Epithelioid leiomyoma (EL) is unusual and rarely met tumor of the stomach. From International histological classification it belongs to benign tumors of smooth muscular tissue. As other nonepithelial tumors EL can grow endogastral, intramural and exogastral. Exogastral type of tumor growth presents difficulties for diagnosis as changes of mucous and sometimes muscular layers of stomach wall are absent. An observation was given of a patient with mentioned disease. Primary diagnosis was mechanical jaundice, chronic cholecystitis. Tumor formation (10x8x9 sm) was revealed in the stomach during operation

  12. A genome-wide association study identifies candidate loci associated to syringomyelia secondary to Chiari-like malformation in Cavalier King Charles Spaniels.

    Science.gov (United States)

    Ancot, Frédéric; Lemay, Philippe; Knowler, Susan P; Kennedy, Karen; Griffiths, Sandra; Cherubini, Giunio Bruto; Sykes, Jane; Mandigers, Paul J J; Rouleau, Guy A; Rusbridge, Clare; Kibar, Zoha

    2018-03-22

    Syringomyelia (SM) is a common condition affecting brachycephalic toy breed dogs and is characterized by the development of fluid-filled cavities within the spinal cord. It is often concurrent with a complex developmental malformation of the skull and craniocervical vertebrae called Chiari-like malformation (CM) characterized by a conformational change and overcrowding of the brain and cervical spinal cord particularly at the craniocervical junction. CM and SM have a polygenic mode of inheritance with variable penetrance. We identified six cranial T1-weighted sagittal MRI measurements that were associated to maximum transverse diameter of the syrinx cavity. Increased syrinx transverse diameter has been correlated previously with increased likelihood of behavioral signs of pain. We next conducted a whole genome association study of these traits in 65 Cavalier King Charles Spaniel (CKCS) dogs (33 controls, 32 with extreme phenotypes). Two loci on CFA22 and CFA26 were found to be significantly associated to two traits associated with a reduced volume and altered orientation of the caudal cranial fossa. Their reconstructed haplotypes defined two associated regions that harbor only two genes: PCDH17 on CFA22 and ZWINT on CFA26. PCDH17 codes for a cell adhesion molecule expressed specifically in the brain and spinal cord. ZWINT plays a role in chromosome segregation and its expression is increased with the onset of neuropathic pain. Targeted genomic sequencing of these regions identified respectively 37 and 339 SNPs with significantly associated P values. Genotyping of tagSNPs selected from these 2 candidate loci in an extended cohort of 461 CKCS (187 unaffected, 274 SM affected) identified 2 SNPs on CFA22 that were significantly associated to SM strengthening the candidacy of this locus in SM development. We identified 2 loci on CFA22 and CFA26 that contained only 2 genes, PCDH17 and ZWINT, significantly associated to two traits associated with syrinx transverse

  13. 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

  14. 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

  15. 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

  16. Urogenital tuberculosis: definition and classification.

    Science.gov (United States)

    Kulchavenya, Ekaterina

    2014-10-01

    To improve the approach to the diagnosis and management of urogenital tuberculosis (UGTB), we need clear and unique classification. UGTB remains an important problem, especially in developing countries, but it is often an overlooked disease. As with any other infection, UGTB should be cured by antibacterial therapy, but because of late diagnosis it may often require surgery. Scientific literature dedicated to this problem was critically analyzed and juxtaposed with the author's own more than 30 years' experience in tuberculosis urology. The conception, terms and definition were consolidated into one system; classification stage by stage as well as complications are presented. Classification of any disease includes dispersion on forms and stages and exact definitions for each stage. Clinical features and symptoms significantly vary between different forms and stages of UGTB. A simple diagnostic algorithm was constructed. UGTB is multivariant disease and a standard unified approach to it is impossible. Clear definition as well as unique classification are necessary for real estimation of epidemiology and the optimization of therapy. The term 'UGTB' has insufficient information in order to estimate therapy, surgery and prognosis, or to evaluate the epidemiology.

  17. PULMONARY HEMORRHAGE. ENDOSCOPIC DIAGNOSIS AND TREATMENT

    Directory of Open Access Journals (Sweden)

    A. M. Gasanov

    2016-01-01

    Full Text Available In the article, we report the incidence and etiology of pulmonary hemorrhage, and modern classifications according to the literature data. Methods of endoscopic diagnosis and treatment of pulmonary hemorrhage are analyzed.

  18. Chronic obstructive pulmonary disease – diagnosis and ...

    African Journals Online (AJOL)

    Chronic obstructive pulmonary disease – diagnosis and classification of ... biomass fuel exposure/household pollution, tuberculosis, HIV and mining ... There is a very high prevalence of COPD in SA and it is the third leading cause of mortality ...

  19. 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....

  20. 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...... that call for inquiries into the theoretical foundation of bibliographic classification theory....

  1. 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.

  2. 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...

  3. [Definition of the Diagnosis Osteomyelitis-Osteomyelitis Diagnosis Score (ODS)].

    Science.gov (United States)

    Schmidt, H G K; Tiemann, A H; Braunschweig, R; Diefenbeck, M; Bühler, M; Abitzsch, D; Haustedt, N; Walter, G; Schoop, R; Heppert, V; Hofmann, G O; Glombitza, M; Grimme, C; Gerlach, U-J; Flesch, I

    2011-08-01

    The disease "osteomyelitis" is characterised by different symptoms and parameters. Decisive roles in the development of the disease are played by the causative bacteria, the route of infection and the individual defense mechanisms of the host. The diagnosis is based on different symptoms and findings from the clinical history, clinical symptoms, laboratory results, diagnostic imaging, microbiological and histopathological analyses. While different osteomyelitis classifications have been published, there is to the best of our knowledge no score that gives information how sure the diagnosis "osteomyelitis" is in general. For any scientific study of a disease a valid definition is essential. We have developed a special osteomyelitis diagnosis score for the reliable classification of clinical, laboratory and technical findings. The score is based on five diagnostic procedures: 1) clinical history and risk factors, 2) clinical examination and laboratory results, 3) diagnostic imaging (ultrasound, radiology, CT, MRI, nuclear medicine and hybrid methods), 4) microbiology, and 5) histopathology. Each diagnostic procedure is related to many individual findings, which are weighted by a score system, in order to achieve a relevant value for each assessment. If the sum of the five diagnostic criteria is 18 or more points, the diagnosis of osteomyelitis can be viewed as "safe" (diagnosis class A). Between 8-17 points the diagnosis is "probable" (diagnosis class B). Less than 8 points means that the diagnosis is "possible, but unlikely" (class C diagnosis). Since each parameter can score six points at a maximum, a reliable diagnosis can only be achieved if at least 3 parameters are scored with 6 points. The osteomyelitis diagnosis score should help to avoid the false description of a clinical presentation as "osteomyelitis". A safe diagnosis is essential for the aetiology, treatment and outcome studies of osteomyelitis. © Georg Thieme Verlag KG Stuttgart · New York.

  4. 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

  5. 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 ...

  6. Modular playware as a playful diagnosis tool for autistic children

    DEFF Research Database (Denmark)

    Lund, Henrik Hautop

    2009-01-01

    children. Using artificial neural networks for automatic classification of the individual construction practices, we may compare this classification with the diagnosis of the children, and possible obtain a supplementary diagnosis tool which is based on the autistic children's free play with the modular...

  7. A practicable approach for periodontal classification

    Science.gov (United States)

    Mittal, Vishnu; Bhullar, Raman Preet K.; Bansal, Rachita; Singh, Karanprakash; Bhalodi, Anand; Khinda, Paramjit K.

    2013-01-01

    The Diagnosis and classification of periodontal diseases has remained a dilemma since long. Two distinct concepts have been used to define diseases: Essentialism and Nominalism. Essentialistic concept implies the real existence of disease whereas; nominalistic concept states that the names of diseases are the convenient way of stating concisely the endpoint of a diagnostic process. It generally advances from assessment of symptoms and signs toward knowledge of causation and gives a feasible option to name the disease for which etiology is either unknown or it is too complex to access in routine clinical practice. Various classifications have been proposed by the American Academy of Periodontology (AAP) in 1986, 1989 and 1999. The AAP 1999 classification is among the most widely used classification. But this classification also has demerits which provide impediment for its use in day to day practice. Hence a classification and diagnostic system is required which can help the clinician to access the patient's need and provide a suitable treatment which is in harmony with the diagnosis for that particular case. Here is an attempt to propose a practicable classification and diagnostic system of periodontal diseases for better treatment outcome. PMID:24379855

  8. 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.

  9. 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

  10. 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...

  11. 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.

  12. Heuristic Classification. Technical Report Number 12.

    Science.gov (United States)

    Clancey, William J.

    A broad range of well-structured problems--embracing forms of diagnosis, catalog selection, and skeletal planning--are solved in expert computer systems by the method of heuristic classification. These programs have a characteristic inference structure that systematically relates data to a pre-enumerated set of solutions by abstraction, heuristic…

  13. 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…

  14. 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.

  15. 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.

  16. [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'.

  17. Asteroid taxonomic classifications

    International Nuclear Information System (INIS)

    Tholen, D.J.

    1989-01-01

    This paper reports on three taxonomic classification schemes developed and applied to the body of available color and albedo data. Asteroid taxonomic classifications according to two of these schemes are reproduced

  18. Hand eczema classification

    DEFF Research Database (Denmark)

    Diepgen, T L; Andersen, Klaus Ejner; Brandao, F M

    2008-01-01

    of the disease is rarely evidence based, and a classification system for different subdiagnoses of hand eczema is not agreed upon. Randomized controlled trials investigating the treatment of hand eczema are called for. For this, as well as for clinical purposes, a generally accepted classification system...... A classification system for hand eczema is proposed. Conclusions It is suggested that this classification be used in clinical work and in clinical trials....

  19. Classification with support hyperplanes

    NARCIS (Netherlands)

    G.I. Nalbantov (Georgi); J.C. Bioch (Cor); P.J.F. Groenen (Patrick)

    2006-01-01

    textabstractA new classification method is proposed, called Support Hy- perplanes (SHs). To solve the binary classification task, SHs consider the set of all hyperplanes that do not make classification mistakes, referred to as semi-consistent hyperplanes. A test object is classified using

  20. Standard classification: Physics

    International Nuclear Information System (INIS)

    1977-01-01

    This is a draft standard classification of physics. The conception is based on the physics part of the systematic catalogue of the Bayerische Staatsbibliothek and on the classification given in standard textbooks. The ICSU-AB classification now used worldwide by physics information services was not taken into account. (BJ) [de

  1. 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

  2. Anthrax: Diagnosis

    Science.gov (United States)

    ... Diagnosis Language: English (US) Español (Spanish) Recommend on Facebook Tweet Share Compartir Doctors in the United States rarely see a patient with anthrax. CDC Guidance and case definitions are available to help doctors diagnose anthrax, take ...

  3. Classification of refrigerants; Classification des fluides frigorigenes

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-07-01

    This document was made from the US standard ANSI/ASHRAE 34 published in 2001 and entitled 'designation and safety classification of refrigerants'. This classification allows to clearly organize in an international way the overall refrigerants used in the world thanks to a codification of the refrigerants in correspondence with their chemical composition. This note explains this codification: prefix, suffixes (hydrocarbons and derived fluids, azeotropic and non-azeotropic mixtures, various organic compounds, non-organic compounds), safety classification (toxicity, flammability, case of mixtures). (J.S.)

  4. 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

  5. Expert Systems: Implications for the Diagnosis and Treatment of Learning Disabilities.

    Science.gov (United States)

    Hofmeister, Alan M.; Lubke, Margaret M.

    1986-01-01

    Expert systems are briefly reviewed and applications in special education diagnosis and classification are described. Future applications are noted to include text interpretation and pupil performance monitoring. (CL)

  6. 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

  7. [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.

  8. 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

  9. 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...

  10. 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

  11. 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.

  12. 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.

  13. 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

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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....

  19. CLASSIFICATION AND DIAGNOSTICS OF ANEMIA IN CHILDREN

    OpenAIRE

    A. G. Rumyantsev

    2011-01-01

    Anemia in children is one of the most frequent somatic diseases. Criteria of anemia diagnosis are strictly regulated as decrease of hemoglobin/erythrocytes level accompanies majority of infectious, inflammatory, autoimmune, hereditary diseases and, in several cases, it is estimated as transitory disease in some periods of children’s growth and development. The article presents main classification and differential diagnostic schemes of anemia. Diagnostics makes accent on laboratory analysis; t...

  20. Classification of radiological procedures

    International Nuclear Information System (INIS)

    1989-01-01

    A classification for departments in Danish hospitals which use radiological procedures. The classification codes consist of 4 digits, where the first 2 are the codes for the main groups. The first digit represents the procedure's topographical object and the second the techniques. The last 2 digits describe individual procedures. (CLS)

  1. 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

  2. Munitions Classification Library

    Science.gov (United States)

    2016-04-04

    members of the community to make their own additions to any, or all, of the classification libraries . The next phase entailed data collection over less......Include area code) 04/04/2016 Final Report August 2014 - August 2015 MUNITIONS CLASSIFICATION LIBRARY Mr. Craig Murray, Parsons Dr. Thomas H. Bell, Leidos

  3. Recursive automatic classification algorithms

    Energy Technology Data Exchange (ETDEWEB)

    Bauman, E V; Dorofeyuk, A A

    1982-03-01

    A variational statement of the automatic classification problem is given. The dependence of the form of the optimal partition surface on the form of the classification objective functional is investigated. A recursive algorithm is proposed for maximising a functional of reasonably general form. The convergence problem is analysed in connection with the proposed algorithm. 8 references.

  4. 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…

  5. 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....

  6. 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

  7. 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......, legitimizing a criticality discourse.Specifically, the paper introduces a typology delineating the inferences made by the experts from their produced recommendations in the classification of rare earth element criticality. The paper argues that the classification is a specific process of constructing risk....... It proposes that the expert bureaucratic practice of classification legitimizes (i) the valorisation that was made in the drafting of the assessment framework for the classification, and (ii) political operationalization when enacted that might have (non-)distributive implications for the allocation of public...

  8. 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)

  9. 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...

  10. The impact of the latest classification system of benign vulvar diseases on the management of women with chronic vulvar pruritus

    Directory of Open Access Journals (Sweden)

    Kiymet Handan Kelekci

    2011-01-01

    Full Text Available Background: The management of women with chronic benign vulvar dermatoses has been one of the most difficult and challenging aspects of women′s healthcare for a long time. Aim: Our aim was to compare the ability to approach the specific diagnosis of nonneoplastic and noninfectious vulva diseases, between the new classification system and the old classification system. Methods: One hundred women with chronic vulvar pruritus were included in the study. After detailed examination of the vulva, all visible lesions were biopsied, with normal skin included. All specimens was sent for dermatopathology and examined simultaneously under a binocular microscope by two pathologists. Specific diagnosis if possible and histopathological findings were classified according to both the 1987 and 2006 International Society for the Study of Vulvar Diseases (ISSVD classifications. The ratios that were able to be approached on the specific diagnosis, with the aid the two classification systems, were compared. Results: Specific clinical diagnosis by both pathological and after using clinicopathological correlation was possible in 69 out of 91 patients (75.8% according to the 1987 ISSVD classification, and in 81 out of 91 patients (89.0% according to the ISSVD 2006 classification system. The difference in the clinical diagnosis ratios between the two classification systems was statistically significant ( P < 0.05. In a subgroup of women without specific diagnosis at the time of pathological examination, clinical diagnosis was made in 28 out of 50 women (56% after using the clinicopathological correlation according to the ISSVD 1987 classification, whereas, specific diagnosis was made in 39 out of 49 (79.6% women after using the clinicopathological correlation according to the ISSVD 2006 classification. The difference was statistically significant in terms of the ratio of the ability to achieve a specific diagnosis ( P < 0.01. Conclusion: ISSVD 2006 classification of

  11. Classification of movement disorders.

    Science.gov (United States)

    Fahn, Stanley

    2011-05-01

    The classification of movement disorders has evolved. Even the terminology has shifted, from an anatomical one of extrapyramidal disorders to a phenomenological one of movement disorders. The history of how this shift came about is described. The history of both the definitions and the classifications of the various neurologic conditions is then reviewed. First is a review of movement disorders as a group; then, the evolving classifications for 3 of them--parkinsonism, dystonia, and tremor--are covered in detail. Copyright © 2011 Movement Disorder Society.

  12. 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

  13. 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.

  14. 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.

  15. 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.

  16. 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:

  17. Pitch Based Sound Classification

    DEFF Research Database (Denmark)

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

    2006-01-01

    A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft......-max output function. Both linear and quadratic inputs are used. The model is trained on 2 hours of sound and tested on publicly available data. A test classification error below 0.05 with 1 s classification windows is achieved. Further more it is shown that linear input performs as well as a quadratic......, and that even though classification gets marginally better, not much is achieved by increasing the window size beyond 1 s....

  18. [New International Classification of Chronic Pancreatitis (M-ANNHEIM multifactor classification system, 2007): principles, merits, and demerits].

    Science.gov (United States)

    Tsimmerman, Ia S

    2008-01-01

    The new International Classification of Chronic Pancreatitis (designated as M-ANNHEIM) proposed by a group of German specialists in late 2007 is reviewed. All its sections are subjected to analysis (risk group categories, clinical stages and phases, variants of clinical course, diagnostic criteria for "established" and "suspected" pancreatitis, instrumental methods and functional tests used in the diagnosis, evaluation of the severity of the disease using a scoring system, stages of elimination of pain syndrome). The new classification is compared with the earlier classification proposed by the author. Its merits and demerits are discussed.

  19. Repeatability of Pulse Diagnosis and Body Constitution Diagnosis in Traditional Indian Ayurveda Medicine

    Science.gov (United States)

    Waagepetersen, Rasmus; Toft, Egon; Prasad, Ramjee; Raturi, Lokesh

    2012-01-01

    In Ayurveda, pulse diagnosis and body constitution diagnosis have a long historical use; still, there is lack of quantitative measure of the reliability of these diagnostic methods. Reliability means consistency of information. Consistent diagnosis leads to consistent treatment and is important for clinical practice, education, and research. The objective of this study is to study the methodology to evaluate the test-retest reliability (repeatability) of pulse diagnosis and body constitution diagnosis. A double-blinded, controlled, clinical trial was conducted in Copenhagen. The same doctor, an expert in Ayurvedic pulse diagnosis, examined the pulse and body constitution of 17 healthy participants twice, in random order without seeing them. A metric on pulse and body constitution variables was developed. Cohen's weighted kappa statistic was used as a measure of intra-rater reliability. Permutation tests were used to test the hypothesis of homogeneous diagnosis (ie, the doctor's diagnosis does not depend on the subject). The hypothesis of homogeneous classification was rejected on the 5% significance level (P values of .02 and .001, respectively, for pulse and body constitution diagnosis). According to the Landis and Koch scale, values of the weighted kappa for pulse diagnosis (P = .42) and body constitution diagnosis (P = .65) correspond to “moderate” and “substantial” agreement, respectively. There was a reasonable level of consistency between 2 pulse and body constitution diagnoses. Further studies are required to quantify inter-subject and intra-subject agreement for greater understanding of reliability of pulse and body constitution diagnosis. PMID:27257530

  20. Towards secondary fingerprint classification

    CSIR Research Space (South Africa)

    Msiza, IS

    2011-07-01

    Full Text Available an accuracy figure of 76.8%. This small difference between the two figures is indicative of the validity of the proposed secondary classification module. Keywords?fingerprint core; fingerprint delta; primary classifi- cation; secondary classification I..., namely, the fingerprint core and the fingerprint delta. Forensically, a fingerprint core is defined as the innermost turning point where the fingerprint ridges form a loop, while the fingerprint delta is defined as the point where these ridges form a...

  1. Expected Classification Accuracy

    Directory of Open Access Journals (Sweden)

    Lawrence M. Rudner

    2005-08-01

    Full Text Available Every time we make a classification based on a test score, we should expect some number..of misclassifications. Some examinees whose true ability is within a score range will have..observed scores outside of that range. A procedure for providing a classification table of..true and expected scores is developed for polytomously scored items under item response..theory and applied to state assessment data. A simplified procedure for estimating the..table entries is also presented.

  2. 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....

  3. 78 FR 68983 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-11-18

    ...-AD33 Cotton Futures Classification: Optional Classification Procedure AGENCY: Agricultural Marketing... regulations to allow for the addition of an optional cotton futures classification procedure--identified and... response to requests from the U.S. cotton industry and ICE, AMS will offer a futures classification option...

  4. Supernova Photometric Lightcurve Classification

    Science.gov (United States)

    Zaidi, Tayeb; Narayan, Gautham

    2016-01-01

    This is a preliminary report on photometric supernova classification. We first explore the properties of supernova light curves, and attempt to restructure the unevenly sampled and sparse data from assorted datasets to allow for processing and classification. The data was primarily drawn from the Dark Energy Survey (DES) simulated data, created for the Supernova Photometric Classification Challenge. This poster shows a method for producing a non-parametric representation of the light curve data, and applying a Random Forest classifier algorithm to distinguish between supernovae types. We examine the impact of Principal Component Analysis to reduce the dimensionality of the dataset, for future classification work. The classification code will be used in a stage of the ANTARES pipeline, created for use on the Large Synoptic Survey Telescope alert data and other wide-field surveys. The final figure-of-merit for the DES data in the r band was 60% for binary classification (Type I vs II).Zaidi was supported by the NOAO/KPNO Research Experiences for Undergraduates (REU) Program which is funded by the National Science Foundation Research Experiences for Undergraduates Program (AST-1262829).

  5. 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 unquestionable. Consequently, diagnosis is made largely through clinical presentation of the condition. The use of several validated tools assists in confirming the diagnosis and the severity of the disease. In future investigations, the identification of phenotypes and clinical subtypes--taking into account...

  6. The quality of diagnosis and management of migraine and tension-type headache in three social groups in Russia

    DEFF Research Database (Denmark)

    Lebedeva, Elena R; Kobzeva, Natalia R; Gilev, Denis V

    2017-01-01

    BACKGROUND: Three successive editions of the International Classification of Headache Disorders and multiple guideline papers on headache care have described evidence based diagnosis and treatment of headache disorders. It remains unknown, however, to which extent this has improved the diagnosis ...

  7. 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.

  8. 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

  9. Autoinflammatory diseases: update on classification diagnosis and management.

    Science.gov (United States)

    Pathak, Shelly; McDermott, Michael F; Savic, Sinisa

    2017-01-01

    The spectrum of systemic autoinflammatory disorders broadens continually. In part, this is due to the more widespread application of massive parallel sequencing, helping with novel gene discovery in this and other areas of rare diseases. Some of the conditions that have been described fit neatly into a conventional idea of autoinflammation. Others, such as interferon-mediated autoinflammatory diseases, are broadening the concept which we consider to be autoinflammatory disorders. There is also a widening of the clinical phenotypes associated with certain genetic mutations, as genetic testing is used more regularly and increasing numbers of patients are screened. It is also increasingly evident that both autoinflammatory and autoimmune problems are frequently seen as complications of primary immunodeficiency disorders. The aim of this review is to provide an update on some recently discovered conditions and to discuss how these disorders help to define the concept of autoinflammation. The review will also cover recent discoveries in the biology of innate-immune-mediated inflammation and describe how this has provided the biological rationale for using anti-interleukin-1 therapies in the treatment of many such conditions. Finally, we discuss the importance of recognising somatic mutations as causes of autoinflammatory clinical phenotypes and provide practical advice on how this could be tackled in everyday clinical practice. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  10. 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...

  11. 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.

  12. [Recent developments in biopsy diagnosis of early and undefined liver tumors].

    Science.gov (United States)

    Longerich, T; Schirmacher, P

    2009-01-01

    Biopsy diagnosis of early and highly differentiated liver tumors is difficult and complex. Modern pathology has met this challenge by several different means; elaborate morphological algorithms and novel immunohistological markers support the differential diagnosis of highly differentiated HCC and a new, predictive molecular pathological and histological classification of liver cell adenoma was developed. By these new diagnostic tools together with the so-called 'matrix diagnosis' a reliable diagnostic classification is now feasible in the vast majority of these difficult cases.

  13. 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.

  14. The debate over diagnosis related groups.

    Science.gov (United States)

    Spiegel, A D; Kavaler, F

    1985-01-01

    With the advent of the Prospective Payment System (PPS) using Diagnosis Related Groups (DRGs) as a classification method, the pros and cons of that mechanism have been sharply debated. Grouping the comments into categories related to administration/management, DRG system and quality of care, a review of relevant literature highlights the pertinent attitudes and views of professionals and organizations. Points constantly argued include data utilization, meaningful medical classifications, resource use, gaming, profit centers, patient homogeneity, severity of illness, length of stay, technology limitations and the erosion of standards.

  15. Differential diagnosis

    Directory of Open Access Journals (Sweden)

    Abdallah Adra

    2016-09-01

    Full Text Available Abnormal uterine bleeding may be acute or chronic accounting for up to 30% of outpatient visits to gynecologists. Hyperprolactinemia is one of the most common endocrine disorders associated with ovulatory dysfunction that results in menstrual irregularities. Prior to initiating treatment, the various causes (physiologic, pathologic, pharmacologic, or idiopathic of hyperprolactinemia must be elucidated. Prolactin is a stress hormone that increases in response to stressful conditions; therefore, while collecting samples it is necessary to reduce venipuncture stress. A thorough patient history and physical examination will help to identify the cause and to direct therapy. Imaging results must always be assessed along with a patient’s clinical history and biochemical parameters when a pituitary tumor is suspected. Magnetic resonance imaging is the method of choice for the diagnosis of microprolactinomas and macroprolactinomas in both initial assessment and follow-up. Several drugs may cause a significant increase in serum prolactin concentration. If clinically feasible, the drug should be discontinued; if this is not possible, it should be substituted with a drug of similar action that does not cause hyperprolactinemia. Prolactinomas are the most common cause of pituitary adenomas affecting women of fertile age leading to significant elevations in prolactin that warrant treatment. Idiopathic hyperprolactinemia may be observed in the presence of elevated serum prolactin levels and in the absence of any other recognized cause of increased prolactin secretion. Dopamine agonists are the mainstay of therapy in prolactinomas and symptomatic idiopathic hyperprolactinemia because they normalize serum prolactin, effectively shrink prolactinomas and normalize gonadal function (i.e. menstruation.

  16. Cataract in small animals: classification and treatment

    Directory of Open Access Journals (Sweden)

    Fahiano Montiani Ferreira

    1997-02-01

    Full Text Available Cataract means any opacity present in the lens, lens capsule or both. The opacities may vary in size, location, shape and rate of progression. By slit-lamp biomicroscopy it is possible to examine them with precision, determining its exact location and peculiarities, resulting in a safe, accurate diagnosis. Due to its variable origin and appearance, several methods of classification have been used. Classification by aetiology, grade of maturity, location and age of the patients are presented in this review. Surgical removal is the only effective therapy for this disease. Among the surgical techniques available to this day, endocapsular phacoemulsification excells for its better results, despite of its high cost, if compared to classical intra and extra capsular facectomies.

  17. 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...

  18. 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...

  19. Comparison analysis for classification algorithm in data mining and the study of model use

    Science.gov (United States)

    Chen, Junde; Zhang, Defu

    2018-04-01

    As a key technique in data mining, classification algorithm was received extensive attention. Through an experiment of classification algorithm in UCI data set, we gave a comparison analysis method for the different algorithms and the statistical test was used here. Than that, an adaptive diagnosis model for preventive electricity stealing and leakage was given as a specific case in the paper.

  20. Classification of quantitative light-induced fluorescence images using convolutional neural network

    NARCIS (Netherlands)

    Imangaliyev, S.; van der Veen, M.H.; Volgenant, C.M.C.; Loos, B.G.; Keijser, B.J.F.; Crielaard, W.; Levin, E.; Lintas, A.; Rovetta, S.; Verschure, P.F.M.J.; Villa, A.E.P.

    2017-01-01

    Images are an important data source for diagnosis of oral diseases. The manual classification of images may lead to suboptimal treatment procedures due to subjective errors. In this paper an image classification algorithm based on Deep Learning framework is applied to Quantitative Light-induced

  1. 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 ...

  2. Giant adrenal cyst - a case report and classification

    International Nuclear Information System (INIS)

    Pitaki, Sergio Augusto Munhoz; Louveira, Maria Helena

    1999-01-01

    Cystic lesions of the adrenal gland are relatively rare, but they must be considering in the differential diagnosis of abdominal masses. The authors report a case of a giant adrenal cyst assessed by ultrasonography, computed tomography and magnetic resonance imaging, and outline their features and classification. (author)

  3. Acoustic classification of dwellings

    DEFF Research Database (Denmark)

    Berardi, Umberto; Rasmussen, Birgit

    2014-01-01

    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...... exchanging experiences about constructions fulfilling different classes, reducing trade barriers, and finally increasing the sound insulation of dwellings.......Schemes for the classification of dwellings according to different building performances have been proposed in the last years worldwide. The general idea behind these schemes relates to the positive impact a higher label, and thus a better performance, should have. In particular, focusing on sound...

  4. 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.

  5. 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...

  6. 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.

  7. 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.

  8. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2016-01-01

    A distinction can be made between “artificial classifications” and “natural classifications,” where artificial classifications may adequately serve some limited purposes, but natural classifications are overall most fruitful by allowing inference and thus many different purposes. There is strong...... support for the view that a natural classification should be based on a theory (and, of course, that the most fruitful theory provides the most fruitful classification). Nevertheless, atheoretical (or “descriptive”) classifications are often produced. Paradoxically, atheoretical classifications may...... be very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. Based on such successes one may ask: Should the claim that classifications ideally are natural...

  9. Neural attractor network for application in visual field data classification

    International Nuclear Information System (INIS)

    Fink, Wolfgang

    2004-01-01

    The purpose was to introduce a novel method for computer-based classification of visual field data derived from perimetric examination, that may act as a ' counsellor', providing an independent 'second opinion' to the diagnosing physician. The classification system consists of a Hopfield-type neural attractor network that obtains its input data from perimetric examination results. An iterative relaxation process determines the states of the neurons dynamically. Therefore, even 'noisy' perimetric output, e.g., early stages of a disease, may eventually be classified correctly according to the predefined idealized visual field defect (scotoma) patterns, stored as attractors of the network, that are found with diseases of the eye, optic nerve and the central nervous system. Preliminary tests of the classification system on real visual field data derived from perimetric examinations have shown a classification success of over 80%. Some of the main advantages of the Hopfield-attractor-network-based approach over feed-forward type neural networks are: (1) network architecture is defined by the classification problem; (2) no training is required to determine the neural coupling strengths; (3) assignment of an auto-diagnosis confidence level is possible by means of an overlap parameter and the Hamming distance. In conclusion, the novel method for computer-based classification of visual field data, presented here, furnishes a valuable first overview and an independent 'second opinion' in judging perimetric examination results, pointing towards a final diagnosis by a physician. It should not be considered a substitute for the diagnosing physician. Thanks to the worldwide accessibility of the Internet, the classification system offers a promising perspective towards modern computer-assisted diagnosis in both medicine and tele-medicine, for example and in particular, with respect to non-ophthalmic clinics or in communities where perimetric expertise is not readily available

  10. 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...

  11. The classification of phocomelia.

    Science.gov (United States)

    Tytherleigh-Strong, G; Hooper, G

    2003-06-01

    We studied 24 patients with 44 phocomelic upper limbs. Only 11 limbs could be grouped in the classification system of Frantz and O' Rahilly. The non-classifiable limbs were further studied and their characteristics identified. It is confirmed that phocomelia is not an intercalary defect.

  12. 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.

  13. 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

  14. Classification, confusion and misclassification

    African Journals Online (AJOL)

    The classification of objects and phenomena in science and nature has fascinated academics since Carl Linnaeus, the Swedish botanist and zoologist, created his binomial description of living things in the 1700s and probably long before in accounts of others in textbooks long since gone. It must have concerned human ...

  15. 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

  16. 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…

  17. 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

  18. Improving Student Question Classification

    Science.gov (United States)

    Heiner, Cecily; Zachary, Joseph L.

    2009-01-01

    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…

  19. NOUN CLASSIFICATION IN ESAHIE

    African Journals Online (AJOL)

    The present work deals with noun classification in Esahie (Kwa, Niger ... phonological information influences the noun (form) class system of Esahie. ... between noun classes and (grammatical) Gender is interrogated (in the light of ..... the (A) argument6 precedes the verb and the (P) argument7 follows the verb in a simple.

  20. Dynamic Latent Classification Model

    DEFF Research Database (Denmark)

    Zhong, Shengtong; Martínez, Ana M.; Nielsen, Thomas Dyhre

    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...

  1. Classification of myocardial infarction

    DEFF Research Database (Denmark)

    Saaby, Lotte; Poulsen, Tina Svenstrup; Hosbond, Susanne Elisabeth

    2013-01-01

    The classification of myocardial infarction into 5 types was introduced in 2007 as an important component of the universal definition. In contrast to the plaque rupture-related type 1 myocardial infarction, type 2 myocardial infarction is considered to be caused by an imbalance between demand...

  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. Diagnosis and prognosis of primary breast cancer

    International Nuclear Information System (INIS)

    Robertson, J. F. R.; Evans, A. J.

    1997-01-01

    The diagnosis of breast cancer should be made in the context of a multidisciplinary team: preoperative diagnosis can be made in over 90 % of patients with symptomatic and screen-detected cancers. A preoperative diagnosis allows patients the opportunity to come to terms with the diagnosis of breast cancer and to consider their treatment options before progressing to therapeutic surgery. Surgery remains the primary therapeutic treatment for operable breast cancer with radiotherapy and systemic therapies as adjuvant treatments. Surgery in addition provides pathological specimens from which important prognostic information may be obtained. The traditional TNM classification in itself is no longer sufficient although there is still c considerable prognostic information to be gained in staging patients. Markers of tumour biology provide prognostic data independent of TNM staging. Both need to be considered in any overall assessment of patient prognosis

  4. Nonlinear programming for classification problems in machine learning

    Science.gov (United States)

    Astorino, Annabella; Fuduli, Antonio; Gaudioso, Manlio

    2016-10-01

    We survey some nonlinear models for classification problems arising in machine learning. In the last years this field has become more and more relevant due to a lot of practical applications, such as text and web classification, object recognition in machine vision, gene expression profile analysis, DNA and protein analysis, medical diagnosis, customer profiling etc. Classification deals with separation of sets by means of appropriate separation surfaces, which is generally obtained by solving a numerical optimization model. While linear separability is the basis of the most popular approach to classification, the Support Vector Machine (SVM), in the recent years using nonlinear separating surfaces has received some attention. The objective of this work is to recall some of such proposals, mainly in terms of the numerical optimization models. In particular we tackle the polyhedral, ellipsoidal, spherical and conical separation approaches and, for some of them, we also consider the semisupervised versions.

  5. 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.

  6. Efficient Fingercode Classification

    Science.gov (United States)

    Sun, Hong-Wei; Law, Kwok-Yan; Gollmann, Dieter; Chung, Siu-Leung; Li, Jian-Bin; Sun, Jia-Guang

    In this paper, we present an efficient fingerprint classification algorithm which is an essential component in many critical security application systems e. g. systems in the e-government and e-finance domains. Fingerprint identification is one of the most important security requirements in homeland security systems such as personnel screening and anti-money laundering. The problem of fingerprint identification involves searching (matching) the fingerprint of a person against each of the fingerprints of all registered persons. To enhance performance and reliability, a common approach is to reduce the search space by firstly classifying the fingerprints and then performing the search in the respective class. Jain et al. proposed a fingerprint classification algorithm based on a two-stage classifier, which uses a K-nearest neighbor classifier in its first stage. The fingerprint classification algorithm is based on the fingercode representation which is an encoding of fingerprints that has been demonstrated to be an effective fingerprint biometric scheme because of its ability to capture both local and global details in a fingerprint image. We enhance this approach by improving the efficiency of the K-nearest neighbor classifier for fingercode-based fingerprint classification. Our research firstly investigates the various fast search algorithms in vector quantization (VQ) and the potential application in fingerprint classification, and then proposes two efficient algorithms based on the pyramid-based search algorithms in VQ. Experimental results on DB1 of FVC 2004 demonstrate that our algorithms can outperform the full search algorithm and the original pyramid-based search algorithms in terms of computational efficiency without sacrificing accuracy.

  7. Differential Classification of Dementia

    Directory of Open Access Journals (Sweden)

    E. Mohr

    1995-01-01

    Full Text Available In the absence of biological markers, dementia classification remains complex both in terms of characterization as well as early detection of the presence or absence of dementing symptoms, particularly in diseases with possible secondary dementia. An empirical, statistical approach using neuropsychological measures was therefore developed to distinguish demented from non-demented patients and to identify differential patterns of cognitive dysfunction in neurodegenerative disease. Age-scaled neurobehavioral test results (Wechsler Adult Intelligence Scale—Revised and Wechsler Memory Scale from Alzheimer's (AD and Huntington's (HD patients, matched for intellectual disability, as well as normal controls were used to derive a classification formula. Stepwise discriminant analysis accurately (99% correct distinguished controls from demented patients, and separated the two patient groups (79% correct. Variables discriminating between HD and AD patient groups consisted of complex psychomotor tasks, visuospatial function, attention and memory. The reliability of the classification formula was demonstrated with a new, independent sample of AD and HD patients which yielded virtually identical results (classification accuracy for dementia: 96%; AD versus HD: 78%. To validate the formula, the discriminant function was applied to Parkinson's (PD patients, 38% of whom were classified as demented. The validity of the classification was demonstrated by significant PD subgroup differences on measures of dementia not included in the discriminant function. Moreover, a majority of demented PD patients (65% were classified as having an HD-like pattern of cognitive deficits, in line with previous reports of the subcortical nature of PD dementia. This approach may thus be useful in classifying presence or absence of dementia and in discriminating between dementia subtypes in cases of secondary or coincidental dementia.

  8. 78 FR 54970 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-09-09

    ... Service 7 CFR Part 27 [AMS-CN-13-0043] RIN 0581-AD33 Cotton Futures Classification: Optional Classification Procedure AGENCY: Agricultural Marketing Service, USDA. ACTION: Proposed rule. SUMMARY: The... optional cotton futures classification procedure--identified and known as ``registration'' by the U.S...

  9. 32 CFR 2700.22 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... SECURITY INFORMATION REGULATIONS Derivative Classification § 2700.22 Classification guides. OMSN shall... direct derivative classification, shall identify the information to be protected in specific and uniform...

  10. 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 »

  11. 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

  12. The future of general classification

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2013-01-01

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

  13. 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...

  14. Fault-tolerant incremental diagnosis with limited historical data

    OpenAIRE

    Gillblad, Daniel; Holst, Anders; Steinert, Rebecca

    2006-01-01

    In many diagnosis situations it is desirable to perform a classification in an iterative and interactive manner. All relevant information may not be available initially and must be acquired manually or at a cost. The matter is often complicated by very limited amounts of knowledge and examples when a new system to be diagnosed is initially brought into use. Here, we will describe how to create an incremental classification system based on a statistical model that is trained from empirical dat...

  15. 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.

  16. 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...

  17. Granular loess classification based

    International Nuclear Information System (INIS)

    Browzin, B.S.

    1985-01-01

    This paper discusses how loess might be identified by two index properties: the granulometric composition and the dry unit weight. These two indices are necessary but not always sufficient for identification of loess. On the basis of analyses of samples from three continents, it was concluded that the 0.01-0.5-mm fraction deserves the name loessial fraction. Based on the loessial fraction concept, a granulometric classification of loess is proposed. A triangular chart is used to classify loess

  18. 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.

  19. 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...

  20. 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.

  1. Decimal Classification Editions

    OpenAIRE

    Zenovia Niculescu

    2009-01-01

    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.

  2. 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

  3. An automated cirrus classification

    Science.gov (United States)

    Gryspeerdt, Edward; Quaas, Johannes; Goren, Tom; Klocke, Daniel; Brueck, Matthias

    2018-05-01

    Cirrus clouds play an important role in determining the radiation budget of the earth, but many of their properties remain uncertain, particularly their response to aerosol variations and to warming. Part of the reason for this uncertainty is the dependence of cirrus cloud properties on the cloud formation mechanism, which itself is strongly dependent on the local meteorological conditions. In this work, a classification system (Identification and Classification of Cirrus or IC-CIR) is introduced to identify cirrus clouds by the cloud formation mechanism. Using reanalysis and satellite data, cirrus clouds are separated into four main types: orographic, frontal, convective and synoptic. Through a comparison to convection-permitting model simulations and back-trajectory-based analysis, it is shown that these observation-based regimes can provide extra information on the cloud-scale updraughts and the frequency of occurrence of liquid-origin ice, with the convective regime having higher updraughts and a greater occurrence of liquid-origin ice compared to the synoptic regimes. Despite having different cloud formation mechanisms, the radiative properties of the regimes are not distinct, indicating that retrieved cloud properties alone are insufficient to completely describe them. This classification is designed to be easily implemented in GCMs, helping improve future model-observation comparisons and leading to improved parametrisations of cirrus cloud processes.

  4. A system for heart sounds classification.

    Directory of Open Access Journals (Sweden)

    Grzegorz Redlarski

    Full Text Available The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution. Thanks to the advancement in technology, the quality of phonocardiography signals is no longer an issue. However, appropriate algorithms for auto-diagnosis systems of heart diseases that could be capable of distinguishing most of known pathological states have not been yet developed. The main issue is non-stationary character of phonocardiography signals as well as a wide range of distinguishable pathological heart sounds. In this paper a new heart sound classification technique, which might find use in medical diagnostic systems, is presented. It is shown that by combining Linear Predictive Coding coefficients, used for future extraction, with a classifier built upon combining Support Vector Machine and Modified Cuckoo Search algorithm, an improvement in performance of the diagnostic system, in terms of accuracy, complexity and range of distinguishable heart sounds, can be made. The developed system achieved accuracy above 93% for all considered cases including simultaneous identification of twelve different heart sound classes. The respective system is compared with four different major classification methods, proving its reliability.

  5. 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.

  6. 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.

  7. 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%.

  8. 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.

  9. Maximum mutual information regularized classification

    KAUST Repository

    Wang, Jim Jing-Yan; Wang, Yi; Zhao, Shiguang; Gao, Xin

    2014-01-01

    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.

  10. 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.

  11. [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

  12. Classification of IRAS asteroids

    International Nuclear Information System (INIS)

    Tedesco, E.F.; Matson, D.L.; Veeder, G.J.

    1989-01-01

    Albedos and spectral reflectances are essential for classifying asteroids. For example, classes E, M and P are indistinguishable without albedo data. Colorometric data are available for about 1000 asteroids but, prior to IRAS, albedo data was available for only about 200. IRAS broke this bottleneck by providing albedo data on nearly 2000 asteroids. Hence, excepting absolute magnitudes, the albedo and size are now the most common asteroid physical parameters known. In this chapter the authors present the results of analyses of IRAS-derived asteroid albedos, discuss their application to asteroid classification, and mention several studies which might be done to exploit further this data set

  13. 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.

  14. Radioactive facilities classification criteria

    International Nuclear Information System (INIS)

    Briso C, H.A.; Riesle W, J.

    1992-01-01

    Appropriate classification of radioactive facilities into groups of comparable risk constitutes one of the problems faced by most Regulatory Bodies. Regarding the radiological risk, the main facts to be considered are the radioactive inventory and the processes to which these radionuclides are subjected. Normally, operations are ruled by strict safety procedures. Thus, the total activity of the radionuclides existing in a given facility is the varying feature that defines its risk. In order to rely on a quantitative criterion and, considering that the Annual Limits of Intake are widely accepted references, an index based on these limits, to support decisions related to radioactive facilities, is proposed. (author)

  15. Burning mouth syndrome: a review on diagnosis and treatment.

    Science.gov (United States)

    Coculescu, E C; Radu, A; Coculescu, B I

    2014-01-01

    Burning mouth syndrome (BMS) is defined as a chronic pain condition characterized by a burning sensation in the clinically healthy oral mucosa. It is difficult to diagnose BMS because there is a discrepancy between the severity, extensive objective pain felt by the patient and the absence of any clinical changes of the oral mucosa. This review presents some aspects of BMS, including its clinical diagnosis, classification, differential diagnosis, general treatment, evolution and prognosis.

  16. Diagnosis of cerebral disorders using computed tomography

    Energy Technology Data Exchange (ETDEWEB)

    Kitamura, K [Tokyo Women' s Medical Coll. (Japan)

    1980-01-01

    Computed tomography (CT), which makes differential diagnosis of cerebral disorders possible, was applied in the diagnosis of hypertensive intracerebral hemorrhage, cerebral thrombosis, subarachnoid hemorrhage, and cerebrovascular Moyamoya disease. CT findings of hypertensive intracerebral hemorrhage showed the localization, volume, and direction of hematoma, and the classification of hematoma according to CT findings was highly correlated to the clinical symptoms of the patients. CT findings of cerebral thrombosis showed the extension of the lesion to be a low density area, but there were many cases in which they did not show a low density area immediately after an attack. CT findings of subarachnoid hemorrhage were very useful in the diagnosis of intracerebral hematoma, ventricular hematoma, and intracranial hematoma secondary to this disease. However, it was very difficult to diagnose cerebrovascular Moyamoya disease by means of CT.

  17. Diagnosis of cerebral disorders using computed tomography

    International Nuclear Information System (INIS)

    Kitamura, Koichi

    1980-01-01

    Computed tomography (CT), which makes differential diagnosis of cerebral disorders possible, was applied in the diagnosis of hypertensive intracerebral hemorrhage, cerebral thrombosis, subarachnoid hemorrhage, and cerebrovascular Moyamoya disease. CT findings of hypertensive intracerebral hemorrhage showed the localization, volume, and direction of hematoma, and the classification of hematoma according to CT findings was highly correlated to the clinical symptoms of the patients. CT findings of cerebral thrombosis showed the extension of the lesion to be a low density area, but there were many cases in which they did not show a low density area immediately after an attack. CT findings of subarachnoid hemorrhage were very useful in the diagnosis of intracerebral hematoma, ventricular hematoma, and intracranial hematoma secondary to this disease. However, it was very difficult to diagnose cerebrovascular Moyamoya disease by means of CT. (Nishio, M.)

  18. 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.)

  19. Diagnosis and Change or Change and Diagnosis.

    Science.gov (United States)

    Cammann, Cortlandt

    Organizational consultation is often viewed as a four-stage process: entry, diagnosis, intervention, and evaluation. A fifth stage, preparation of organizations to conduct diagnosis and change, is frequently neglected. In the preparation stage, organizational consultants must deal with resistance by creating conditions for the consideration of the…

  20. Describing Peripancreatic Collections According to the Revised Atlanta Classification of Acute Pancreatitis An International Interobserver Agreement Study

    NARCIS (Netherlands)

    Bouwense, Stefan A.; van Brunschot, Sandra; van Santvoort, Hjalmar C.; Besselink, Marc G.; Bollen, Thomas L.; Bakker, Olaf J.; Banks, Peter A.; Boermeester, Marja A.; Cappendijk, Vincent C.; Carter, Ross; Charnley, Richard; van Eijck, Casper H.; Freeny, Patrick C.; Hermans, John J.; Hough, David M.; Johnson, Colin D.; Laméris, Johan S.; Lerch, Markus M.; Mayerle, Julia; Mortele, Koenraad J.; Sarr, Michael G.; Stedman, Brian; Vege, Santhi Swaroop; Werner, Jens; Dijkgraaf, Marcel G.; Gooszen, Hein G.; Horvath, Karen D.; Aghdassi, Ali A.; van Enckevort, Conny C.; de Haas, Robbert J.; Horsthuis, Karin; van der Jagt, Michel F.; Kok, Niels F.; Koopmanschap, Desirée H.; Koppe, Manuel J.; Krak, Nanda C.; Lane, Charlotte E.; Lee, Jean H.; de Lussanet, Q.; Saunders, Michael D.; Swaroop Vege, Santhi; van der Vlugt, Manon; van Wageningen, Bas; Wassenaar, Eelco; van Wely, Bob J.; Wijnhoven, Bas P.

    2017-01-01

    Objectives: Severe acute pancreatitis is associated with peripancreatic morphologic changes as seen on imaging. Uniform communication regarding these morphologic findings is crucial for accurate diagnosis and treatment. For the original 1992 Atlanta classification, interobserver agreement is poor.

  1. Supply chain planning classification

    Science.gov (United States)

    Hvolby, Hans-Henrik; Trienekens, Jacques; Bonde, Hans

    2001-10-01

    Industry experience a need to shift in focus from internal production planning towards planning in the supply network. In this respect customer oriented thinking becomes almost a common good amongst companies in the supply network. An increase in the use of information technology is needed to enable companies to better tune their production planning with customers and suppliers. Information technology opportunities and supply chain planning systems facilitate companies to monitor and control their supplier network. In spite if these developments, most links in today's supply chains make individual plans, because the real demand information is not available throughout the chain. The current systems and processes of the supply chains are not designed to meet the requirements now placed upon them. For long term relationships with suppliers and customers, an integrated decision-making process is needed in order to obtain a satisfactory result for all parties. Especially when customized production and short lead-time is in focus. An effective value chain makes inventory available and visible among the value chain members, minimizes response time and optimizes total inventory value held throughout the chain. In this paper a supply chain planning classification grid is presented based current manufacturing classifications and supply chain planning initiatives.

  2. Waste classification sampling plan

    International Nuclear Information System (INIS)

    Landsman, S.D.

    1998-01-01

    The purpose of this sampling is to explain the method used to collect and analyze data necessary to verify and/or determine the radionuclide content of the B-Cell decontamination and decommissioning waste stream so that the correct waste classification for the waste stream can be made, and to collect samples for studies of decontamination methods that could be used to remove fixed contamination present on the waste. The scope of this plan is to establish the technical basis for collecting samples and compiling quantitative data on the radioactive constituents present in waste generated during deactivation activities in B-Cell. Sampling and radioisotopic analysis will be performed on the fixed layers of contamination present on structural material and internal surfaces of process piping and tanks. In addition, dose rate measurements on existing waste material will be performed to determine the fraction of dose rate attributable to both removable and fixed contamination. Samples will also be collected to support studies of decontamination methods that are effective in removing the fixed contamination present on the waste. Sampling performed under this plan will meet criteria established in BNF-2596, Data Quality Objectives for the B-Cell Waste Stream Classification Sampling, J. M. Barnett, May 1998

  3. 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 accuracy at the same time. The test example is classified using simpler and smaller model. The training examples in a particular cluster share the common vocabulary. At the time of clustering, we do not take into account the labels of the training examples. After the clusters have been created......, 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...

  4. Classification of smooth Fano polytopes

    DEFF Research Database (Denmark)

    Øbro, Mikkel

    A simplicial lattice polytope containing the origin in the interior is called a smooth Fano polytope, if the vertices of every facet is a basis of the lattice. The study of smooth Fano polytopes is motivated by their connection to toric varieties. The thesis concerns the classification of smooth...... Fano polytopes up to isomorphism. A smooth Fano -polytope can have at most vertices. In case of vertices an explicit classification is known. The thesis contains the classification in case of vertices. Classifications of smooth Fano -polytopes for fixed exist only for . In the thesis an algorithm...... for the classification of smooth Fano -polytopes for any given is presented. The algorithm has been implemented and used to obtain the complete classification for ....

  5. Small-scale classification schemes

    DEFF Research Database (Denmark)

    Hertzum, Morten

    2004-01-01

    Small-scale classification schemes are used extensively in the coordination of cooperative work. This study investigates the creation and use of a classification scheme for handling the system requirements during the redevelopment of a nation-wide information system. This requirements...... classification inherited a lot of its structure from the existing system and rendered requirements that transcended the framework laid out by the existing system almost invisible. As a result, the requirements classification became a defining element of the requirements-engineering process, though its main...... effects remained largely implicit. The requirements classification contributed to constraining the requirements-engineering process by supporting the software engineers in maintaining some level of control over the process. This way, the requirements classification provided the software engineers...

  6. 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

  7. 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.

  8. 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.

  9. Active Learning for Text Classification

    OpenAIRE

    Hu, Rong

    2011-01-01

    Text classification approaches are used extensively to solve real-world challenges. The success or failure of text classification systems hangs on the datasets used to train them, without a good dataset it is impossible to build a quality system. This thesis examines the applicability of active learning in text classification for the rapid and economical creation of labelled training data. Four main contributions are made in this thesis. First, we present two novel selection strategies to cho...

  10. 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...

  11. 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.

  12. 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

  13. Automatic classification of hyperactive children: comparing multiple artificial intelligence approaches.

    Science.gov (United States)

    Delavarian, Mona; Towhidkhah, Farzad; Gharibzadeh, Shahriar; Dibajnia, Parvin

    2011-07-12

    Automatic classification of different behavioral disorders with many similarities (e.g. in symptoms) by using an automated approach will help psychiatrists to concentrate on correct disorder and its treatment as soon as possible, to avoid wasting time on diagnosis, and to increase the accuracy of diagnosis. In this study, we tried to differentiate and classify (diagnose) 306 children with many similar symptoms and different behavioral disorders such as ADHD, depression, anxiety, comorbid depression and anxiety and conduct disorder with high accuracy. Classification was based on the symptoms and their severity. With examining 16 different available classifiers, by using "Prtools", we have proposed nearest mean classifier as the most accurate classifier with 96.92% accuracy in this research. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  14. Operational experiences with automated acoustic burst classification by neural networks

    International Nuclear Information System (INIS)

    Olma, B.; Ding, Y.; Enders, R.

    1996-01-01

    Monitoring of Loose Parts Monitoring System sensors for signal bursts associated with metallic impacts of loose parts has proved as an useful methodology for on-line assessing the mechanical integrity of components in the primary circuit of nuclear power plants. With the availability of neural networks new powerful possibilities for classification and diagnosis of burst signals can be realized for acoustic monitoring with the online system RAMSES. In order to look for relevant burst signals an automated classification is needed, that means acoustic signature analysis and assessment has to be performed automatically on-line. A back propagation neural network based on five pre-calculated signal parameter values has been set up for identification of different signal types. During a three-month monitoring program of medium-operated check valves burst signals have been measured and classified separately according to their cause. The successful results of the three measurement campaigns with an automated burst type classification are presented. (author)

  15. 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.

  16. Influence of nuclei segmentation on breast cancer malignancy classification

    Science.gov (United States)

    Jelen, Lukasz; Fevens, Thomas; Krzyzak, Adam

    2009-02-01

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

  17. Dual Diagnosis - Multiple Languages

    Science.gov (United States)

    ... National Library of Medicine Comorbidity or dual diagnosis - Opioid addiction, part 9 - English PDF Comorbidity or dual diagnosis - Opioid addiction, part 9 - español (Spanish) PDF Comorbidity or dual ...

  18. Leishmania infections: Molecular targets and diagnosis.

    Science.gov (United States)

    Akhoundi, Mohammad; Downing, Tim; Votýpka, Jan; Kuhls, Katrin; Lukeš, Julius; Cannet, Arnaud; Ravel, Christophe; Marty, Pierre; Delaunay, Pascal; Kasbari, Mohamed; Granouillac, Bruno; Gradoni, Luigi; Sereno, Denis

    2017-10-01

    Progress in the diagnosis of leishmaniases depends on the development of effective methods and the discovery of suitable biomarkers. We propose firstly an update classification of Leishmania species and their synonymies. We demonstrate a global map highlighting the geography of known endemic Leishmania species pathogenic to humans. We summarize a complete list of techniques currently in use and discuss their advantages and limitations. The available data highlights the benefits of molecular markers in terms of their sensitivity and specificity to quantify variation from the subgeneric level to species complexes, (sub) species within complexes, and individual populations and infection foci. Each DNA-based detection method is supplied with a comprehensive description of markers and primers and proposal for a classification based on the role of each target and primer in the detection, identification and quantification of leishmaniasis infection. We outline a genome-wide map of genes informative for diagnosis that have been used for Leishmania genotyping. Furthermore, we propose a classification method based on the suitability of well-studied molecular markers for typing the 21 known Leishmania species pathogenic to humans. This can be applied to newly discovered species and to hybrid strains originating from inter-species crosses. Developing more effective and sensitive diagnostic methods and biomarkers is vital for enhancing Leishmania infection control programs. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

  19. 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.

  20. Classification tree for the assessment of sedentary lifestyle among hypertensive

    OpenAIRE

    Castelo Guedes Martins, Larissa; Venícios de Oliveira Lopes, Marcos; Gomes Guedes, Nirla; Paixão de Menezes, Angélica; de Oliveira Farias, Odaleia; Alves dos Santos, Naftale

    2016-01-01

    Objective.To develop a classification tree of clinical indicators for the correct prediction of the nursing diagnosis "Sedentary lifestyle" (SL) in people with high blood pressure (HTN). Methods. A cross-sectional study conducted in an outpatient care center specializing in high blood pressure and Mellitus diabetes located in northeastern Brazil. The sample consisted of 285 people between 19 and 59 years old diagnosed with high blood pressure and was applied an interview and physical examinat...

  1. 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

  2. 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

  3. Using Supervised Learning Techniques for Diagnosis of Dynamic Systems

    Science.gov (United States)

    2002-05-04

    diagnosis task is to determine the system elements that could cause decision trees [14], where classification is the result of a series of the erroneous...Rodriguez, Carlos J. Alonso y Q. Isaac Moro. Clasificaci6n de patrones temporales en sistemas dinimicos mediante Boosting y Alineamiento dinamico

  4. 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 ...

  5. Urinary Tract Infections in Pregnancy - Diagnosis, Treatment and Prevention

    OpenAIRE

    Figueiredo, A; Gomes, G; Campos, A

    2012-01-01

    Objectives: Literature review of classification, epidemiology, pathophysiology, microbiology, clinical presentation, diagnosis, complications, treatment and prevention of urinary tract infections (UTI) in pregnancy. Data Sources and Review Methods: Bibliographic research in Medline, through PubMed and Medscape, of systematic reviews, observational studies, clinical guidelines, meta-analyses and randomized controlled trials published between January 1992 and December 2010. Results: Asymp...

  6. Diagnosis of pregnancy in dairy cows based on the progesterone ...

    African Journals Online (AJOL)

    Diagnosis of pregnancy in dairy cows based on the progesterone content of milk. Part 1. ... best overall classification of dairy cows into pregnant and non-pregnant groups (confirmed by rectal palpation). Progesterone levels ... Teen 'n diskriminante progesteroonwaarde van 5 ng/ml melk het hierdie funksie 98,0% van alle ...

  7. 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

  8. 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

  9. Australian diagnosis related groups: Drivers of complexity adjustment.

    Science.gov (United States)

    Jackson, Terri; Dimitropoulos, Vera; Madden, Richard; Gillett, Steve

    2015-11-01

    In undertaking a major revision to the Australian Refined Diagnosis Related Group (ARDRG) classification, we set out to contrast Australia's approach to using data on additional (not principal) diagnoses with major international approaches in splitting base or Adjacent Diagnosis Related Groups (ADRGs). Comparative policy analysis/narrative review of peer-reviewed and grey literature on international approaches to use of additional (secondary) diagnoses in the development of Australian and international DRG systems. European and US approaches to characterise complexity of inpatient care are well-documented, providing useful points of comparison with Australia's. Australia, with good data sources, has continued to refine its national DRG classification using increasingly sophisticated approaches. Hospital funders in Australia and in other systems are often under pressure from provider groups to expand classifications to reflect clinical complexity. DRG development in most healthcare systems reviewed here reflects four critical factors: these socio-political factors, the quality and depth of the coded data available to characterise the mix of cases in a healthcare system, the size of the underlying population, and the intended scope and use of the classification. Australia's relatively small national population has constrained the size of its DRG classifications, and development has been concentrated on inpatient care in public hospitals. Development of casemix classifications in health care is driven by both technical and socio-political factors. Use of additional diagnoses to adjust for patient complexity and cost needs to respond to these in each casemix application. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  10. 2008 International Conference on Ectodermal Dysplasias Classification Conference Report

    Science.gov (United States)

    Salinas, Carlos F.; Jorgenson, Ronald J.; Wright, J. Timothy; DiGiovanna, John J.; Fete, Mary D.

    2009-01-01

    There are many ways to classify ectodermal dysplasia syndromes. Clinicians in practice use a list of syndromes from which to choose a potential diagnosis, paging through a volume, such as Freire-Maia and Pinheiro's corpus, matching their patient's findings to listed syndromes. Medical researchers may want a list of syndromes that share one (monothetic system) or several (polythetic system) traits in order to focus research on a narrowly defined group. Special interest groups may want a list from which they can choose constituencies, and insurance companies and government agencies may want a list to determine for whom to provide (or deny) health care coverage. Furthermore, various molecular biologists are now promoting classification systems based on gene mutation (e.g. TP63 associated syndromes) or common molecular pathways. The challenge will be to balance comprehensiveness within the classification with usability and accessibility so that the benefits truly serve the needs of researchers, health care providers and ultimately the individuals and families directly affected by ectodermal dysplasias. It is also recognized that a new classification approach is an ongoing process and will require periodical reviews or updates. Whatever scheme is developed, however, will have far-reaching application for other groups of disorders for which classification is complicated by the number of interested parties and advances in diagnostic acumen. Consensus among interested parties is necessary for optimizing communication among the diverse groups whether it be for equitable distribution of funds, correctness of diagnosis and treatment, or focusing research efforts. PMID:19681152

  11. Effective Diagnosis of Alzheimer's Disease by Means of Association Rules

    Science.gov (United States)

    Chaves, R.; Ramírez, J.; Górriz, J. M.; López, M.; Salas-Gonzalez, D.; Illán, I.; Segovia, F.; Padilla, P.

    In this paper we present a novel classification method of SPECT images for the early diagnosis of the Alzheimer's disease (AD). The proposed method is based on Association Rules (ARs) aiming to discover interesting associations between attributes contained in the database. The system uses firstly voxel-as-features (VAF) and Activation Estimation (AE) to find tridimensional activated brain regions of interest (ROIs) for each patient. These ROIs act as inputs to secondly mining ARs between activated blocks for controls, with a specified minimum support and minimum confidence. ARs are mined in supervised mode, using information previously extracted from the most discriminant rules for centering interest in the relevant brain areas, reducing the computational requirement of the system. Finally classification process is performed depending on the number of previously mined rules verified by each subject, yielding an up to 95.87% classification accuracy, thus outperforming recent developed methods for AD diagnosis.

  12. Hazard classification or risk assessment

    DEFF Research Database (Denmark)

    Hass, Ulla

    2013-01-01

    The EU classification of substances for e.g. reproductive toxicants is hazard based and does not to address the risk suchsubstances may pose through normal, or extreme, use. Such hazard classification complies with the consumer's right to know. It is also an incentive to careful use and storage...

  13. 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)

  14. Efficient AUC optimization for classification

    NARCIS (Netherlands)

    Calders, T.; Jaroszewicz, S.; Kok, J.N.; Koronacki, J.; Lopez de Mantaras, R.; Matwin, S.; Mladenic, D.; Skowron, A.

    2007-01-01

    In this paper we show an efficient method for inducing classifiers that directly optimize the area under the ROC curve. Recently, AUC gained importance in the classification community as a mean to compare the performance of classifiers. Because most classification methods do not optimize this

  15. Dewey Decimal Classification: A Quagmire.

    Science.gov (United States)

    Gamaluddin, Ahmad Fouad

    1980-01-01

    A survey of 660 Pennsylvania school librarians indicates that, though there is limited professional interest in the Library of Congress Classification system, Dewey Decimal Classification (DDC) appears to be firmly entrenched. This article also discusses the relative merits of DDC, the need for a uniform system, librarianship preparation, and…

  16. Latent class models for classification

    NARCIS (Netherlands)

    Vermunt, J.K.; Magidson, J.

    2003-01-01

    An overview is provided of recent developments in the use of latent class (LC) and other types of finite mixture models for classification purposes. Several extensions of existing models are presented. Two basic types of LC models for classification are defined: supervised and unsupervised

  17. 45 CFR 601.5 - Derivative classification.

    Science.gov (United States)

    2010-10-01

    ... CLASSIFICATION AND DECLASSIFICATION OF NATIONAL SECURITY INFORMATION § 601.5 Derivative classification. Distinct... 45 Public Welfare 3 2010-10-01 2010-10-01 false Derivative classification. 601.5 Section 601.5... classification guide, need not possess original classification authority. (a) If a person who applies derivative...

  18. 12 CFR 403.4 - Derivative classification.

    Science.gov (United States)

    2010-01-01

    ... SAFEGUARDING OF NATIONAL SECURITY INFORMATION § 403.4 Derivative classification. (a) Use of derivative classification. (1) Unlike original classification which is an initial determination, derivative classification... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Derivative classification. 403.4 Section 403.4...

  19. 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...

  20. 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

  1. 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.

  2. Diagnosis of Epilepsy and Related Episodic Disorders.

    Science.gov (United States)

    St Louis, Erik K; Cascino, Gregory D

    2016-02-01

    This review identifies the diverse and variable clinical presentations associated with epilepsy that may create challenges in diagnosis and treatment. Epilepsy has recently been redefined as a disease characterized by one or more seizures with a relatively high recurrence risk (ie, 60% or greater likelihood). The implication of this definition for therapy is that antiepileptic drug therapy may be initiated following a first seizure in certain situations.EEG remains the most commonly used study in the evaluation of people with epilepsy. Routine EEG may assist in diagnosis, classification of seizure type(s), identification of treatment, and monitoring the efficacy of therapy. Video-EEG monitoring permits seizure classification, assessment of psychogenic nonepileptic seizures, and evaluation of candidacy for epilepsy surgery. MRI is pivotal in elucidating the etiology of the seizure disorder and in suggesting the localization of seizure onset. This article reviews the new International League Against Epilepsy practical clinical definition for epilepsy and the differential diagnosis of other physiologic paroxysmal spells, including syncope, parasomnias, transient ischemic attacks, and migraine, as well as psychogenic nonepileptic seizures. The initial investigational approaches to new-onset epilepsy are considered, including neuroimaging and neurophysiologic investigations with interictal and ictal video-EEG. Neurologists should maintain a high index of suspicion for epilepsy when children or adults present with a single paroxysmal spell or recurrent episodic events.

  3. Gastric cancer: epidemiology, prevention, classification, and treatment

    Directory of Open Access Journals (Sweden)

    Sitarz R

    2018-02-01

    Full Text Available Robert Sitarz,1–3 Małgorzata Skierucha,1,2 Jerzy Mielko,1 G Johan A Offerhaus,3 Ryszard Maciejewski,2 Wojciech P Polkowski1 1Department of Surgical Oncology, Medical University of Lublin, Lublin, Poland; 2Department of Human Anatomy, Medical University of Lublin, Lublin, Poland; 3Department of Pathology, University Medical Centre, Utrecht, The Netherlands Abstract: Gastric cancer is the second most common cause of cancer-related deaths in the world, the epidemiology of which has changed within last decades. A trend of steady decline in gastric cancer incidence rates is the effect of the increased standards of hygiene, conscious nutrition, and Helicobacter pylori eradication, which together constitute primary prevention. Avoidance of gastric cancer remains a priority. However, patients with higher risk should be screened for early detection and chemoprevention. Surgical resection enhanced by standardized lymphadenectomy remains the gold standard in gastric cancer therapy. This review briefly summarizes the most important aspects of gastric cancers, which include epidemiology, risk factors, classification, diagnosis, prevention, and treatment. The paper is mostly addressed to physicians who are interested in updating the state of art concerning gastric carcinoma from easily accessible and credible source. Keywords: gastric cancer, epidemiology, classification, risk factors, treatment

  4. Diabetes classification using a redundancy reduction preprocessor

    Directory of Open Access Journals (Sweden)

    Áurea Celeste Ribeiro

    Full Text Available Introduction Diabetes patients can benefit significantly from early diagnosis. Thus, accurate automated screening is becoming increasingly important due to the wide spread of that disease. Previous studies in automated screening have found a maximum accuracy of 92.6%. Methods This work proposes a classification methodology based on efficient coding of the input data, which is carried out by decreasing input data redundancy using well-known ICA algorithms, such as FastICA, JADE and INFOMAX. The classifier used in the task to discriminate diabetics from non-diaibetics is the one class support vector machine. Classification tests were performed using noninvasive and invasive indicators. Results The results suggest that redundancy reduction increases one-class support vector machine performance when discriminating between diabetics and nondiabetics up to an accuracy of 98.47% while using all indicators. By using only noninvasive indicators, an accuracy of 98.28% was obtained. Conclusion The ICA feature extraction improves the performance of the classifier in the data set because it reduces the statistical dependence of the collected data, which increases the ability of the classifier to find accurate class boundaries.

  5. 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.)

  6. 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

  7. Controversial Issues in the Diagnosis of Narcissistic Personality Disorder: A Review of the Literature.

    Science.gov (United States)

    Rivas, Luis A.

    2001-01-01

    Reviews the literature on some of the issues that have been proposed as controversial with the diagnosis of Narcissistic Personality Disorder. Discusses the issues of comorbidity that questions the validity of the diagnosis; dimensional models of classification and what constitutes a narcissistic personality disorder; and the role that culture…

  8. 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....

  9. A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series

    OpenAIRE

    Chambon, Stanislas; Galtier, Mathieu; Arnal, Pierrick; Wainrib, Gilles; Gramfort, Alexandre

    2017-01-01

    Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30s of signal a sleep stage, based on the visual inspection of signals such as electroencephalograms (EEG), electrooculograms (EOG), electrocardiograms (ECG) and electromyograms (EMG). We introduce here the first deep learning approach for sleep stage classification that learns end-to-end without computing spectrograms or...

  10. Cancer classification in the genomic era: five contemporary problems.

    Science.gov (United States)

    Song, Qingxuan; Merajver, Sofia D; Li, Jun Z

    2015-10-19

    Classification is an everyday instinct as well as a full-fledged scientific discipline. Throughout the history of medicine, disease classification is central to how we develop knowledge, make diagnosis, and assign treatment. Here, we discuss the classification of cancer and the process of categorizing cancer subtypes based on their observed clinical and biological features. Traditionally, cancer nomenclature is primarily based on organ location, e.g., "lung cancer" designates a tumor originating in lung structures. Within each organ-specific major type, finer subgroups can be defined based on patient age, cell type, histological grades, and sometimes molecular markers, e.g., hormonal receptor status in breast cancer or microsatellite instability in colorectal cancer. In the past 15+ years, high-throughput technologies have generated rich new data regarding somatic variations in DNA, RNA, protein, or epigenomic features for many cancers. These data, collected for increasingly large tumor cohorts, have provided not only new insights into the biological diversity of human cancers but also exciting opportunities to discover previously unrecognized cancer subtypes. Meanwhile, the unprecedented volume and complexity of these data pose significant challenges for biostatisticians, cancer biologists, and clinicians alike. Here, we review five related issues that represent contemporary problems in cancer taxonomy and interpretation. (1) How many cancer subtypes are there? (2) How can we evaluate the robustness of a new classification system? (3) How are classification systems affected by intratumor heterogeneity and tumor evolution? (4) How should we interpret cancer subtypes? (5) Can multiple classification systems co-exist? While related issues have existed for a long time, we will focus on those aspects that have been magnified by the recent influx of complex multi-omics data. Exploration of these problems is essential for data-driven refinement of cancer classification

  11. 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)

  12. Classification of new particles

    International Nuclear Information System (INIS)

    Karl, G.

    1976-01-01

    A classification of the new particles is proposed. Hadrons are constructed from quarks corresponding to several different representations of an SU 3 color group, with confined color. The new family of resonances, related to psi/J, is assigned to color-antisextet quarks Q. These new quarks Q do not form mixed mesons q-barQ with old antiquarks but can form mixed baryons Qqq. We speculate on the relation between color and mass. High-mass recurrences of the psi/J family are expected to have associated large changes in the cross section for electron-positron annihilation (ΔR > 4). A conjectured mass formula, which relates the masses of psi/J and ω, predicts the masses of possible recurrences of the psi/J particle. Other experimental implications at presently available energies are discussed, especially the necessity for an isovector partner for psi/J, and for pseudoscalar mesons at 1.8--2.2 GeV, some of which can decay into two photons

  13. 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...

  14. 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.

  15. 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.

  16. WHO/ISUP classification of the urothelial tumors of the urinary bladder

    Directory of Open Access Journals (Sweden)

    Zdenka Ovčak

    2005-09-01

    Full Text Available Background: The authors present the current classification of urothelial neoplasms of the urinary bladder. The classification of urothelial tumors of the urinary bladder of 1973 was despite some imperfection relatively successfuly used for more than thirty years. The three grade classification of papillary urothelial tumors without invasion has been based on evaluation of variations in architecture of covering epithelium and tumor cell anaplasia. As reccomended by the International Society of Urological Pathologists (ISUP, the World Health Organisation (WHO accepted the new WHO/ ISUP classification in 1998 that was revised in 2002 and finally published in 2004. With intention to avoid unnecessary diagnosis of cancer in patients having papillary urothelial tumors with rare invasive or metastastatic growth, this classification introduced a new entity, the papillary urothelial neoplasia of low malignant potential (PUNLMP. The additional change in classification was the division of invasive urothelial neoplasms only to low and high grade urothelial carcinomas.Conclusions: The authors’ opinion is that although the old classification is not recommended for use anymore the new one is not solving the elementary reproaches to previous classification such as terminological unsuitability and insufficient scientific reasoning. Our proposed solution in classification of papillary urothelial neoplasms would be the application of criteria analogous to that used in diagnostics of papillary noninvasive tumors of the head and neck or alimentary tract.

  17. 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.

  18. 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.

  19. Computer-assisted diagnosis of melanoma.

    Science.gov (United States)

    Fuller, Collin; Cellura, A Paul; Hibler, Brian P; Burris, Katy

    2016-03-01

    The computer-assisted diagnosis of melanoma is an exciting area of research where imaging techniques are combined with diagnostic algorithms in an attempt to improve detection and outcomes for patients with skin lesions suspicious for malignancy. Once an image has been acquired, it undergoes a processing pathway which includes preprocessing, enhancement, segmentation, feature extraction, feature selection, change detection, and ultimately classification. Practicality for everyday clinical use remains a vital question. A successful model must obtain results that are on par or outperform experienced dermatologists, keep costs at a minimum, be user-friendly, and be time efficient with high sensitivity and specificity. ©2015 Frontline Medical Communications.

  20. 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