Angiographic classification of patterns of restenosis following femoropopliteal artery intervention: A proposed scoring system

2017 ◽  
Vol 90 (4) ◽  
pp. 639-646 ◽  
Author(s):  
Lawrence A. Garcia ◽  
Krishna J. Rocha-Singh ◽  
Prakash Krishnan ◽  
Thomas Zeller ◽  
Gunnar Tepe ◽  
...  
Keyword(s):  
Scoring System ◽  
Femoropopliteal Artery

scholarly journals Visual and automatic cyclic alternating pattern (CAP) scoring

2006 ◽  
Vol 64 (3a) ◽  
pp. 578-581 ◽  
Author(s):  
Agostinho Rosa ◽  
Gabriela Rodrigues Alves ◽  
Magneide Brito ◽  
Maria Cecília Lopes ◽  
Sérgio Tufik
Keyword(s):  
Short Duration ◽  
Scoring System ◽  
Nrem Sleep ◽  
Data Format ◽  
Similar Performance ◽  
Cyclic Alternating Pattern ◽  
Different Types ◽  
Type Studies ◽  
Automatic Scoring

The classification of short duration events in the EEG during sleep, as the A stage of the cyclic alternating pattern (CAP) is a tedious and error prone task. The number of events under normal conditions is large (several hundreds), and it is necessary to mark the limits of the events with precision, otherwise the time sensitive classification of the CAP phases (A and B) and specially the scoring of different types of A phases will be compromised. The objective of this study is to verify the feasibility of visual CAP scoring with only one channel of EEG, the evaluation of the inter-scorer agreement in a variety of recordings, and the comparison of the visual scorings with a known automatic scoring system. Sixteen hours of one channel (C4-A1 or C3-A2) of NREM sleep were extracted from eight whole night recordings in European Data Format and presented to the different scorers. The average inter-scorer agreement for all scorers is above 70%, the pair wise inter-scorer agreement found was between 69% up to 77.5%. These values are similar to what has been reported in different type studies. The automatic scoring system has similar performance of the visual scorings. The study also has shown that it is possible to classify the CAP using only one channel of EEG.

Marrow Fibrosis in Myelodysplastic Syndromes - Its Significance in the Context of the WHO Classification of Disease and the International Prognostic Scoring System.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 1446-1446
Author(s):  
Guntram Buesche ◽  
Arnold Ganser ◽  
Ludwig Wilkens ◽  
Brigitte Schlegelberger ◽  
Hartmut Hecker ◽  
...  
Keyword(s):  
Survival Time ◽  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
Who Classification ◽  
World Health ◽  
International Prognostic Scoring System ◽  
Bone Marrow Biopsies ◽  
Health Organization ◽  
Marrow Fibrosis

Abstract Marrow fibrosis (MF) is rarely considered in myelodysplastic syndromes (MDS) although the frequency of this complication ranges from 10 to 50 % in the few reports on this issue, and there are no data on occurrence and significance of this complication in the context of the International Prognostic Scoring System (IPSS) and the World Health Organization (WHO) classification of disease. In a retrospective study, diagnostic bone marrow biopsies from a total of 936 patients with MDS were examined for MF and its relevance to the course of disease. Frequency of MF varied markedly between different types of MDS ranging from 3 % (RARS) to 37 % (MDS, therapy-related; WHO classification, P < 0.000005). Risk of MF furthermore correlated with multilineage dysplasia (P < 0.000005). However, there was no obvious correlation to the IPSS or to karyotype abnormalities. The survival time of patients was significantly reduced by about 50 % from 11 (RAEB-1/-2) - 55 (RARS, RCMD-RS) down to 6 (RAEB-1/-2) - 33 months (RARS, RCMD-RS) in median when MF was detected independently of the IPSS and the classification of disease (FAB, WHO; P = 0.0001). We conclude that MF is an unfavorable complication of MDS significantly shortening the survival time of patients independently of the IPSS and the classification of disease.

scholarly journals MRI Classification of Subtalar Joint Osteoarthritis Using a Novel Scoring System

2020 ◽  
Vol 10 (02) ◽  
pp. 69-78
Author(s):  
Razi Zaidi ◽  
Rikin Hargunani ◽  
Michele Calleja ◽  
Jonathan Foley ◽  
Andy Goldberg
Keyword(s):  
Scoring System ◽  
Subtalar Joint

scholarly journals Improved RA classification among early arthritis patients with the concordant presence of three RA autoantibodies: analysis in two early arthritis clinics

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Cristina Regueiro ◽  
Lorena Rodríguez-Martínez ◽  
Laura Nuño ◽  
Ana M. Ortiz ◽  
Alejandro Villalba ◽  
...  
Keyword(s):  
Scoring System ◽  
Clinical Symptoms ◽  
Early Arthritis ◽  
Classification Criteria ◽  
Antibody Titers ◽  
Prospective Cohorts ◽  
Overall Performance ◽  
Better Than

Abstract Background The patients with RA benefit from early identification soon after the first clinical symptoms appear. The 2010 ACR/EULAR classification criteria were developed to fulfill this need and their application has been demonstrated to be effective. However, there is still room for improvement. Therefore, we aimed to evaluate the potential of the concordant presence of RF, anti-CCP and anti-carbamylated protein antibodies to improve current RA classification among early arthritis (EA) patients. Methods Data from the first visit of 1057 patients in two EA prospective cohorts were used. The serological scores from the 2010 ACR/EULAR criteria and the concordant presence of the three RA autoantibodies were assessed relative to a gold standard consisting of the RA classification with the 1987 ACR criteria at the 2 years of follow-up. Results The concordant presence of three antibodies showed predictive characteristics allowing for direct classification as RA (positive predictive value = 96.1% and OR = 80.9). They were significantly better than the corresponding to the high antibody titers defined as in the 2010 classification criteria (PPV = 88.8%, OR = 26.1). In addition, the concordant presence of two antibodies was also very informative (PPV = 82.3%, OR = 15.1). These results allowed devising a scoring system based only on antibody concordance that displayed similar overall performance as the serological scoring system of the 2010 criteria. However, the best classification was obtained combining the concordance and 2010 serological systems, a combination with a significant contribution from each of the two systems. Discussion The concordant presence of RA autoantibodies showed an independent contribution to the classification of EA patients that permitted increased discrimination and precision.

Quantitative Phenotyping and Discriminant Analysis Improve Scoring Classification in Late B-Lymphoproliferative Disorders.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 1463-1463
Author(s):  
Georges Jung ◽  
Sylvie Thiebault ◽  
Jean-Claude Eisenmann ◽  
Eckart Wunder ◽  
Marie Haas ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Scoring System ◽  
Low Grade ◽  
Surface Markers ◽  
Correct Classification ◽  
Chi Square ◽  
Components Analysis

Abstract Multivariate analysis classification of chronic lymphocytic leukemia (CLL) and lymphoma (non-CLL) disorders is investigated in 299 patients by an extended panel of surface markers, and compared with Matutes classical scoring proposal. Diagnosis was based on clinical features, cell morphology, node or bone marrow histology, and immunological scoring system. Results are obtained on directly labeled tumoral cells by flow cytometry gating. Patients included 154 CLL, 2 Richter transformation, and 143 lymphoma (26 follicular, 49 lymphocytic, 18 other low-grade, 7 Waldenström macroglobulinemia, 13 mantel, 11 diffuse large-cell, 6 Burkitt, 4 marginal zone-cell, 5 hairy-cell leukemia, 2 MALT, 1 prolymphocytic leukemia, 1 SLVL). For CD43, FMC7, CD23, CD5, CD79b (% stained cells) and CD20, CD22 surface antigen intensities Chi-Square values indicate very high probability of correct classification (varing from 621 to 94.9; p&lt;0.0000). If, alternatively, % of CD22, CD20, CD19 and intensities of CD79b, CD5, CD19, CD43, CD23 and kappa/lamba chains are employed, Chi-Square yields values of lower significance (varing from 65 to 0.1; p&lt;0.0000 to 0.6573). Using classical panel scoring with CD79b, 82.4 % of patients were correctly classified, compared to 84.5% after replacing CD79b by CD22 intensity. If CD43 is added, correct classification increased to 89.6% and 88.1% of patients, respectively; this improvement is due to better allocation of CLL. In discriminant analysis 91.3% of patients are correctly classified with the panel including CD79b, and 90.9% with CD22 intensity. CD43 enhances the allocation of either one to 94.3%. Using our previous discriminant analysis with CD79b (Jung G, et al. Br J Haematol.2003; 120:496–499), this blind analysis correctly classified the population in 87.1%, compared to 91.3% with the new one. By adding CD43, it moved from 92.4% up to 94.3%. In order to find the optimal combination of the selected best markers, a stepwise probit discrimination was performed. Using CD43 and FMC7 yields a correct classification of 90.3%; after addition of CD5, CD79b, CD23, and CD22 intensity, efficiency increased to 94.6%. Further added markers don’t improve classification. Efficiency of this panel was further confirmed by hierarchical cluster and principal components analysis. Cluster analysis with squared Euclidian distances separated CLL from non-CLL patients with low overlaps: 86.6% of cases are correctly identified. Separated points in the plot representing patients with CLL and non-CLL, obtained by principal components analysis of surface markers, confirm the high predictive potential of this panel. The same analysis of surface marker positions for non-CLL suggests use of: % of CD79b, FMC7, and CD22 intensity, and for CLL: % of CD5, CD23, CD43. So, the addition of CD43 improves as well the discriminant function as the scoring system. Our selected panel of best markers is useful in distinguishing CLL from non-CLL and offers a better distinction by discriminant analysis. Furthermore quantitative expression of each marker and its predictive value improve diagnosis and classification.

A scoring system for the classification of β-thalassemia/Hb E disease severity

2008 ◽  
Vol 83 (6) ◽  
pp. 482-484 ◽  
Author(s):  
Orapan Sripichai ◽  
Wattanan Makarasara ◽  
Thongperm Munkongdee ◽  
Chutima Kumkhaek ◽  
Issarang Nuchprayoon ◽  
...  
Keyword(s):  
Disease Severity ◽  
Scoring System ◽  
Hb E
Sign in / Sign up

Export Citation Format

Share Document