scholarly journals Classification of Clinical Findings of Glaucoma in Dogs Presenting at the Ophthalmic Department of Azabu Veterinary Teaching Hospital

2015 ◽  
Vol 68 (1) ◽  
pp. 55-58
Author(s):  
Nobuyuki KANEMAKI ◽  
Yoichiro ICHIKAWA ◽  
Shinpei KAWARAI ◽  
Hideharu OCHIAI
Keyword(s):  
Teaching Hospital ◽  
Clinical Findings

scholarly journals Grading system utilising the total score of Oxford classification for predicting renal prognosis in IgA nephropathy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yoei Miyabe ◽  
Kazunori Karasawa ◽  
Kenichi Akiyama ◽  
Shota Ogura ◽  
Tomo Takabe ◽  
...  
Keyword(s):  
Iga Nephropathy ◽  
Clinical Findings ◽  
Grading System ◽  
Oxford Classification ◽  
Kaplan Meier ◽  
Hazard Ratios ◽  
The Oxford Classification ◽  
Renal Prognosis ◽  
Renal Survival Rate

AbstractThe Oxford classification of IgA nephropathy (IgAN) can evaluate each MEST-C score individually. We analysed a new grading system that utilised the total MEST-C score in predicting renal prognosis. Altogether, 871 IgAN patients were classified into three groups using the new Oxford classification system (O-grade) that utilised the total MEST-C score (O-grade I: 0–1, II: 2–4, and III: 5–7 points), and the 10-year renal prognosis was analysed. The clinical findings became significantly severer with increasing O-grades, and the renal survival rate by the Kaplan–Meier method was 94.1%, 86.9%, and 74.1% for O-grades I, II, and III, respectively. The hazard ratios (HRs) for O-grades II and III with reference to O-grade I were 2.8 (95% confidence interval [CI] 1.3–6.0) and 6.3 (95% CI 2.7–14.5), respectively. In the multivariate analysis, mean arterial pressure and eGFR, proteinuria at the time of biopsy, treatment of corticosteroids/immunosuppressors, and O-grade (HR 1.63; 95% CI 1.11–2.38) were the independent factors predicting renal prognosis. Among the nine groups classified using the O-grade and Japanese clinical-grade, the renal prognosis had an HR of 15.2 (95% CI 3.5–67) in the severest group. The O-grade classified by the total score of the Oxford classification was associated with renal prognosis.

Discrepancies in the interpretation of clinical symptoms and signs in the diagnosis of multiple sclerosis. A proposal for standardization

2005 ◽  
Vol 11 (2) ◽  
pp. 227-231 ◽  
Author(s):  
Bernard MJ Uitdehaag ◽  
Ludwig Kappos ◽  
Lars Bauer ◽  
Mark S Freedman ◽  
David Miller ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Demyelinating Disease ◽  
Clinical Symptoms ◽  
Clinical Findings ◽  
Large Trial ◽  
Mri Findings ◽  
Mcdonald Criteria ◽  
Magnetic Resonance Imaging Mri ◽  
Eligibility Assessment

The new McDonald diagnostic criteria for multiple sclerosis (MS) incorporate detailed criteria for the interpretation and classification of magnetic resonance imaging (MRI) findings, but, in contrast, provide no instructions for the interpretation of clinical findings. Because MS according to the McDonald criteria is one of the primary endpoints in a large trial enrolling patients after the first manifestation suggestive for a demyelinating disease (BENEFIT study), it was decided to organize a centralized eligibility assessment for this trial. During this eligibility assessment it was observed that there were marked inconsistencies in the decisions of participating neurologists with respect to the classification of clinical symptoms as being caused by one or more lesions provoking discussions in about one in every five patients. This paper describes these inconsistencies and their sources, and recommends a systematic approach that attempts to reduce the variability in interpreting clinical findings.

Clinical Findings, Diagnosis, and Classification of Behçet's Disease

2018 ◽  
pp. 329-333
Keyword(s):  
Behçet’S Disease ◽  
Behcet’S Disease ◽  
Behçet's Disease ◽  
Retinal Vasculitis ◽  
Clinical Findings ◽  
Unknown Etiology ◽  
Ocular Involvement ◽  
Behcet's Disease ◽  
Diagnosis And Classification

Behçet’s Disease (BD) is a chronic multisystem vasculitis with unknown etiology, which is characterized by the triad of recurrent oral ulcers, genital ulcers, and iritis. The eye is one of the most commonly affected organs and typical ocular involvement is panuveitis with hypopyon and retinal vasculitis. The diagnosis is based on clinical evaluation including biomicroscopic and funduscopic examination. This article aims to review the clinical findings, diagnosis, and classification of BD.

Normal Development and Malformations of the Cerebellar Cortex

2003 ◽  
Vol 16 (3) ◽  
pp. 383-391
Author(s):  
B. Bernardi ◽  
F. Roncaroli
Keyword(s):  
Cerebellar Cortex ◽  
Normal Development ◽  
Current Knowledge ◽  
Clinical Findings ◽  
Cellular Organization ◽  
Developmental Abnormalities ◽  
Cerebellar Malformations ◽  
The Central Nervous System

The cerebellum is one of the first structures of the central nervous system that begins differentiation and one of the last to reach maturity. Neurogenesis of granular neurons is largely postnatal and cellular organization continues several months after birth. This protracted maturation causes susceptibility to developmental abnormalities. Such abnormalities encompass structural malformations and even cerebellar tumors. Current knowledge on the development of the cerebellar cortex is increasing. Cerebellar cortex development includes proliferation, migration, neuronal differentiation, guided axonal growth, neuronal map formation and synaptogenesis. These steps follow different timing and modalities compared to neocortex. The high resolution Magnetic Resonance (MR) improved the in vivo depiction of the cerebellar cortex and its developmental malformations. Correlation between neuroimaging and clinical findings as well as neurogenetic allowed practical classification of cerebellar malformations. The proposed morphology-based classifications appear incomplete and need continuous revision. In this review, we have followed a neuroradiological schema in order to reconcile previous classifications. Sviluppo normale e malformazioni della corteccia cerebellare

A Reliable Spot Test for Mucopolysaccharidoses

1971 ◽  
Vol 17 (9) ◽  
pp. 886-890 ◽  
Author(s):  
E R Berman ◽  
J Vered ◽  
G Bach
Keyword(s):  
Clinical Findings ◽  
Spot Test ◽  
Group Of Seven ◽  
Corneal Opacities ◽  
Quantitative Analyses ◽  
Spot Tests ◽  
Morquio's Syndrome ◽  
Mps I ◽  
Normal Controls

Abstract A new spot test for detecting excessive excretion of mucopolysaccharides in urine has been used with a group of 17 patients. Reliability of the test was evaluated by correlating clinical findings with qualitative and quantitative analyses of urinary mucopolysaccharides. Normal controls, with 3.8 to 10.0 mg of uronic acid in this form per liter of urine, gave negative spot tests; all cases of clinically diagnosed mucopolysaccharidoses (MPS) I, II, and III (Hurler’s, Hunter’s, and Sanfilippo’s syndromes, respectively) gave strongly positive ones. Two patients (female siblings) with Morquio’s syndrome (MPS IV) also gave positive spot tests, which were somewhat less intense than those given by patients with MPS I, II, or III. The test for Morquio’s syndrome, positive with fresh urine, was essentially negative with samples at -26°C for three months or longer. A group of seven patients having various degrees of skeletal deformities, mental retardation, dwarfism, or corneal opacities, but not fitting the presently accepted classification of mucopolysaccharidoses, gave negative spot tests, and chemical analyses of their urinary mucopolysaccharides showed normal patterns of excretion.

Validation of modified determinant-based classification of severity for acute pancreatitis in a tertiary teaching hospital

Pancreatology ◽  
2017 ◽  
Vol 17 (4) ◽  
pp. S37 ◽  
Author(s):  
Dong Wu ◽  
Bo Lu ◽  
Hua-dan Xue ◽  
Hong Yang ◽  
Jia-ming Qian ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Teaching Hospital ◽  
Tertiary Teaching ◽  
Tertiary Teaching Hospital

scholarly journals Supervised deep learning embeddings for the prediction of cervical cancer diagnosis

2018 ◽  
Vol 4 ◽  
pp. e154 ◽  
Author(s):  
Kelwin Fernandes ◽  
Davide Chicco ◽  
Jaime S. Cardoso ◽  
Jessica Fernandes
Keyword(s):  
Cervical Cancer ◽  
Deep Learning ◽  
Dimensional Space ◽  
Cervical Screening ◽  
Area Under The Curve ◽  
Clinical Findings ◽  
Screening Programs ◽  
Efficient Access ◽  
Low Dimensional

Cervical cancer remains a significant cause of mortality all around the world, even if it can be prevented and cured by removing affected tissues in early stages. Providing universal and efficient access to cervical screening programs is a challenge that requires identifying vulnerable individuals in the population, among other steps. In this work, we present a computationally automated strategy for predicting the outcome of the patient biopsy, given risk patterns from individual medical records. We propose a machine learning technique that allows a joint and fully supervised optimization of dimensionality reduction and classification models. We also build a model able to highlight relevant properties in the low dimensional space, to ease the classification of patients. We instantiated the proposed approach with deep learning architectures, and achieved accurate prediction results (top area under the curve AUC = 0.6875) which outperform previously developed methods, such as denoising autoencoders. Additionally, we explored some clinical findings from the embedding spaces, and we validated them through the medical literature, making them reliable for physicians and biomedical researchers.

scholarly journals Classification of Intervertebral Disc Disease

2020 ◽  
Vol 7 ◽  
Author(s):  
Joe Fenn ◽  
Natasha J. Olby ◽  
Keyword(s):  
Intervertebral Disc ◽  
Intervertebral Disc Degeneration ◽  
Clinical Findings ◽  
Intervertebral Disc Disease ◽  
Disc Disease ◽  
Clinical Presentations ◽  
Disc Material ◽  
Definition Of ◽  
Current Systems

Intervertebral disc disease (IVDD) has been recognized in dogs since the 1800s, when the first descriptions of extruded disc material within the vertebral canal were published. In the intervening time our understanding of intervertebral disc pathology in dogs and cats has increased dramatically, with many variations of IVDD described. Whilst the volume of literature and collective understanding of IVDD has expanded, there has also been scope for confusion as the definition of intervertebral disc disease, with its myriad different manifestations, becomes more complicated. A large volume of literature has aimed to combine the use of histopathology, diagnostic imaging and clinical findings to better understand the various ways in which IVDD can be classified. Much of this research has focused on the classification of mechanisms of intervertebral disc degeneration, centering around the differences between, and overlaps in, IVDD in chondrodystrophic and non-chondrodystrophic dog breeds. However, with the increasing availability of advanced imaging modalities allowing more accurate antemortem diagnosis, the concept of IVDD has expanded to include other clinical presentations that may not fit into traditional models of classification of IVDD. This review aims to provide an up to date overview of both historical and current systems of IVDD classification, highlighting the important findings and controversies underpinning them.

Working Formulation (WF) and Revised European-American classification of Lymphoma (REAL): Inter-observer agreement in conflicting lymphoma cases

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 17567-17567
Author(s):  
S. Latifzadeh ◽  
T. Riahi ◽  
V. Entezari
Keyword(s):  
Kappa Statistic ◽  
Clinical Findings ◽  
Observer Agreement ◽  
Aggressive Lymphoma ◽  
Low Grade ◽  
High Grade ◽  
Diagnosis And Classification ◽  
Clinical Risks ◽  
High Level

17567 Background: Immunophenotypic and genetic studies play an increasingly important role in diagnosis and classification of lymphoid neoplasm. This study tried to re-evaluate a number of conflicting lymphoma cases which were reported by WF previously, with REAL classification and to measure the agreement between these two methods of classification. Methods: In a three year period, a panel of expert pathologists evaluated referral cases by WF. Those cases (n = 60, Mean age = 40.9 ± 16.4) whose evaluations did not reached to a definitive pathologic diagnosis or there was a discrepancy between their pathologic and clinical findings were reviewed in Keil institute of hematopathology in Germany based on REAL classification. The primary and secondary diagnoses each were classified in five subgroups with equivalent clinical risks (see Table ). Results: Disagreement was detected in 23 cases (38%), while exact kappa statistic was 0.50. Sixteen cases (70%) of difference belonged to group of low grade lymphoma (kappa = 0.35) in which 11 cases (69%) changed to aggressive lymphoma and one case changed to highly aggressive subgroups. Four cases (25%) of difference occurred in the group of low probability lymphoma in which neoplasia was documented. High grade and Hodgkin lymphoma subgroups showed a high level of agreement (kappa = 0.84 and 0.74 respectively). Conclusions: Based on this study’s results, it can be concluded that there is a moderate agreement between WF and REAL classifications in conflicting lymphoma cases. WF underestimates clinical risk of low grade lymphoma in a considerable amount of patients but in high grade lymphoma the disagreement is not so high. [Table: see text] No significant financial relationships to disclose.

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