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Histological classification of canine ovarian cyst types with reference to medical history.

Ovaries of 21 bitches presented with gynecopathies were surgically removed and histologically examined. Standard histological, as well as immunohistochemical, classification of 193 cystic structures resulted in the classification of 72 cysts of subsurface epithelial structures (SES), 61 follicular cysts (FCs), 38 cystic rete ovarii (CRO), 13 lutein cysts (LCs), and 9 non-classifiable cysts (NCCs). In addition to the histological classification, results were interpreted according to subject medical history, clinical examination outcome, and macroscopic observations during ovariohysterectomy. Do…

Functional classification of protein structures by local structure matching in graph representation.

As a result of high-throughput protein structure initiatives, over 14,400 protein structures have been solved by Structural Genomics (SG) ce … es. In each of the superfamilies, SALSA and the much faster method GRASP-Func yield similar correct classification of previously characterized proteins, providing a validated benchmark for the new method. In addition, we analyzed SG proteins using our SALSA and GRASP-Func methods to predict function. Forty-one SG proteins in the RPBB superfamily, nine SG protein …

Tremor Types in Parkinson Disease: A Descriptive Study Using a New Classification.

BACKGROUND: The current classification of tremor types in Parkinson disease (PD) is potentially confusing, particularly for mixed tremor, and there is no label for pure resting tremor. With a view to better defining the clinical phenomenological classification of these tremors, our group relabeled the different types as follows: pure resting tremor (type I); mixed resting and action tremor with similar frequencies (type II) divided, according to action tremor presentation, into II-R when there is a time lag and II-C otherwise; pure action tremor (type III); and mixed resting and action tremor …

Identifying At-Risk Subgroups for Acute Postsurgical Pain: A Classification Tree Analysis.

OBJECTIVE: Acute postsurgical pain is common and has potentially negative long-term consequences for patients. In this study, we evaluated effects of presurgery sociodemographics, pain experiences, psychological influences, and surgery-related variables on acute postsurgical pain using logistic regression vs classification tree analysis (CTA). DESIGN: The study design was prospective. SETTING: This study was carried out at Chongqing No. 9 hospital, Chongqing, China. SUBJECTS: Patients (175 women, 84 men) completed a self-report battery 24 hours before surgery (T1) and pain intensity ratings…

Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time.

Gait dysfunction is a common and relevant symptom in multiple sclerosis (MS). This study aimed to profile gait pathology in gait-impaired patients with MS using comprehensive 3D gait analysis and clinical walking tests. Thirty-seven patients with MS walked on the treadmill at their individual, sustainable speed while 20 healthy control subjects walked at all the different patient's paces, allowing for comparisons independent of walking velocity. Kinematic analysis revealed pronounced restrictions in knee and ankle joint excursion, increased gait variability and asymmetry along with impaired dy

Frontal Sinus Morphology: A Reliable Factor for Classification of Frontal Bone Fractures?

PURPOSE: The frontal sinus shows a wide range of morphologic variations. The aim of this study was to evaluate the influence of frontal sinu … height, width, and depth. The secondary predictor was morphologic sinus type according to Guerram's classification: hyperplasia, medium size, hypoplasia, or aplasia of the frontal sinus. To determine outcomes, we classified fractures into the following categories: fracture isolated to the anterior table, combined fractures of the anterior and posterior tables, f …

An Effective Two Way Classification of Breast Cancer Images: A Detailed Review.

Cancer, a disease of cells, causes cell growth which differs from normal cell growth ratio, this cell growth spreads in the human body and kills the body cells. Breast cancer, it’s a highly heterogeneous disease and western women commonly witness this. Mammography, a pre-screening X-ray based check is used to diagnose woman’s breast cancer. This basic test mode helps in identifying breast cancer at early stage and this early stage detection would support in recovering more number of women from this serious disease. Medical centres deputed highly skilled radiologists and they were given the res

Decision Tree Based Classification of Abdominal Aortic Aneurysms Using Geometry Quantification Measures.

Abdominal aortic aneurysm (AAA) is an asymptomatic aortic disease with a survival rate of 20% after rupture. It is a vascular degenerative c … terline, and to quantify the effect of geometric indices derived from this algorithm on the overall classification accuracy of AAA based on whether they were electively or emergently repaired. Such quantification was performed based on a retrospective review of existing medical records of 150 AAA patients (75 electively repaired and 75 emergently repaired). Usin …

Patient-accident-fracture (PAF) classification of acute distal radius fractures in adults.

There is not enough evidence in the literature to support the use of any classification system for distal radius fractures (DRF) in adults. However, there is a need for identification of more homogeneous groups of patients with DRF so that the extent of preoperative workup and sophistication of treatment would best match the needs of the patient. The authors propose an innovative method to analyse and stratify acute DRF in adults. A one-page chart includes criteria related to the patient (P), the energy of the accident (A) and the pathology of the fracture (F). Analysis of the pathology includ…

NeuroSpine Surgery Research Group (NSURG) Classification System for Grading Lumbar Synovial Cysts.

To classify facet joint cysts (FJC) which will assist in identification of patient groups to best fit with a particular intervention. Sagitt … cetogenic back pain, radiculopathy and claudicant pain in variable degrees of severity. The optimal classification system grades FJC from I to V on the basis of canal compression and degree of spondylolisthesis. Prospective studies are required to confirm the validity of this grading scale for long-term use.

RELIABILITY OF THE MICHIGAN STATE UNIVERSITY (MSU) CLASSIFICATION OF LUMBAR DISC HERNIATION.

OBJECTIVE: The Michigan State University (MSU) classification of lumbar disc herniation (LDH) is periodically used by various authors to classify disc herniation. We assessed the reliability of this classification system among orthopedic residents at our institute. METHODS: Fifty T2 axial-cut magnetic resonance images (MRI) corresponding to the level of maximal disc herniation from patients diagnosed with a single LDH were selected and distributed to six orthopedic residents. All six residents gave a specific rating for each image based on the MSU classification; in addition, three residents …

Subcutaneous Panniculitis-Like T-cell Lymphoma in Dogs: Morphologic and Immunohistochemical Classification.

Canine nonepitheliotropic cutaneous T-cell lymphomas (NECTCL) are poorly characterized. In humans, a number of distinct subtypes of NECTCL have been recognized, including subcutaneous panniculitis-like T-cell lymphoma (SPTCL). Five dogs with subcutaneous T-cell lymphomas histologically similar to SPTCL in humans are herein described. The mean age was 8.5 years (5.5 to 12 years). No breed or sex predilection was identified in this small cohort. Two dogs presented with an acute onset of multiple skin masses and 3 dogs had solitary masses with subsequent development of multiple smaller masses wit

Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces.

In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) patients is investigated. Brain tasks, channel selection methods, and feature extraction and classification algorithms available in the literature are reviewed. First, we categorize various types of patients with cognitive and motor impairments to assess the suitability of BCI for each of them. The prefrontal cortex is identified as a suitable brain region for imaging. Second, the brain activity that contributes to the …

The retromolar canal and its variations: Classification using cone beam computed tomography.

OBJECTIVE: To determine the prevalence of the retromolar canal and its various patterns using cone beam computed tomography (CBCT). METHOD AND MATERIALS: CBCT images with the presence of mandibular third molars from August 2013 to May 2015 were retrospectively investigated. The presence of retromolar canal, its patterns, sides, as well as gender were evaluated by two observers. The pattern of retromolar canal was initially classified into three types: Type A, superior type; Type B, radicular-retromolar type; and Type C, dental type. During the investigation, two additional types were found an

Deep Learning based Classification of FDG-PET Data for Alzheimers Disease Categories.

Fluorodeoxyglucose (FDG) positron emission tomography (PET) measures the decline in the regional cerebral metabolic rate for glucose, offering a reliable metabolic biomarker even on presymptomatic Alzheimer's disease (AD) patients. PET scans provide functional information that is unique and unavailable using other types of imaging. However, the computational efficacy of FDG-PET data alone, for the classification of various Alzheimers Diagnostic categories, has not been well studied. This motivates us to correctly discriminate various AD Diagnostic categories using FDG-PET data. Deep learning h…

Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine.

Classifying electrocardiogram (ECG) heartbeats for arrhythmic risk prediction is a challenging task due to minute variations in the amplitud … s are independently fed to the sequential minimal optimization-support vector machine (SMO-SVM) for classification. We used two arrhythmia databases for our evaluation: MIT-BIH and INCART. We compare the proposed approaches with existing methods using the performance measures given by the average values of (i) specificity, (ii) sensitivity, and (iii) accuracy. T …

Clinicopathological features and prognostic validity of WHO grading classification of SI-NENs.

BACKGROUND: The clinicopathological characteristics of small intestinal neuroendocrine neoplasms (SI-NENs) and the prognostic validity of WHO grading classification for SI-NENs are still unknown in Asian patients. METHODS: 277 patients and 8315 patients with SI-NENs were retrieved respectively from eleven Chinese hospitals and Surveillance, Epidemiology, and End Results (SEER) cancer registry. Overall survival was used as the major study outcome. Survival analysis using Kaplan-Meier analysis with log-rank test and cox regression analysis were applied. RESULTS: Clinicopathological characteris…

Classification of respiratory disturbances in Rett Syndrome patients using Restricted Boltzmann Machine.

Rett syndrome (RTT) is a severe neurodevelopmental disorder that can cause pervasive wakeful respiratory disturbances that include tachypnea, breath-holding, and central apnea. Quantitative analysis of these respiratory disturbances in RTT is considered a promising outcome measure for clinical trials. Currently, machine learning methodologies have not been employed to automate the classification of RTT respiratory disturbances. In this paper, we propose using temporal, flow, and autocorrelation features taken from the respiratory inductance plethsymography chest signal. We tested the performan…

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

Next-generation sequencing (NGS) technology has expanded in the last decades with significant improvements in the reliability, sequencing chemistry, pipeline analyses, data interpretation and costs. Such advances make the use of NGS feasible in clinical practice today. This review describes the recent technological developments in NGS applied to the field of oncology. A number of clinical applications are reviewed, i.e., mutation detection in inherited cancer syndromes based on DNA-sequencing, detection of spliceogenic variants based on RNA-sequencing, DNA-sequencing to identify risk modifiers

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… The present review describes the major milestones in NGS technology, the technical developments and application of NGS to the field of oncology, i.e., hereditary cancer syndromes and sporadic cancer, diagnostics, classification, therapeutics, theranostics and pharmacogenetics. 2. … Several guidelines are available to assist such classification (see Section 6 ). …

The Classification and Management Strategy of Spontaneous Isolated Superior Mesenteric Artery Dissection.

Spontaneous isolated superior mesenteric artery dissection (SISMAD) is an uncommon but potentially catastrophic pathology. Multiple classification schemes have been proposed for this occurrence. Although no consensus has emerged regarding which classification should be used, Li's classification scheme is more precise and complete compared to other classification systems and can be used to guide the treatment of SISMAD. Initial conservative treatment is promising, with favorable early and long-term outcomes for most patients; endovascular treatment is recommended for patients with persistent/re…