scholarly journals On use of partial area under the ROC curve for evaluation of diagnostic performance

2013 ◽  
Vol 32 (20) ◽  
pp. 3449-3458 ◽  
Author(s):  
Hua Ma ◽  
Andriy I. Bandos ◽  
Howard E. Rockette ◽  
David Gur
Keyword(s):  
Roc Curve ◽  
Diagnostic Performance ◽  
Partial Area

scholarly journals Erythrocyte and Reticulocyte Indices on the LH 750 as Potential Markers of Functional Iron Deficiency

Anemia ◽  
2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Eloísa Urrechaga ◽  
Luís Borque ◽  
Jesús F. Escanero
Keyword(s):  
Iron Deficiency ◽  
Roc Curve ◽  
Diagnostic Performance ◽  
Iron Status ◽  
Curve Analysis ◽  
Size Factor ◽  
Hemoglobin Content ◽  
Roc Curve Analysis ◽  
Functional Iron Deficiency ◽  
Reticulocyte Hemoglobin Content

Reticulocyte hemoglobin content (CHr) and percentage of hypochromic cells (%Hypo) are restricted to the Siemens analysers. The aims of the study were to investigate the correlation of Red cells size factor (RSf) and low Hemoglobin density (LHD%), reported by Beckman-Coulter analysers, with CHr and %Hypo in the assessment of iron status in the presence of inflammation. 381 samples were run on both LH 750 (Beckman-Coulter) and Advia 2120 (Siemens) analysers. Correlation between parameters were calculated and the diagnostic performance of the new parameters was assessed.Results. Correlation between RSf and CHr, . ROC curve analysis for RSf in the diagnosis of iron restricted erythropoiesis defined as CH pg: AUC 0.983; Cutoff 91.1%; Sensitivity 98.8%; Specificity 89.6% Correlation between LHD% and %Hypo, . ROC curve analysis for LHD% in the diagnosis of iron deficiency defined by %Hypo %: AUC 0.954; Cut off 6.0%; Sensitivity 96.6%; Specificity 83.2%Conclusions. RSf and LHD% could be reliable parameters for the study of iron metabolism status.

Non-parametric interval estimation for the partial area under the ROC curve

2011 ◽  
Vol 39 (1) ◽  
pp. 17-33 ◽  
Author(s):  
Gengsheng Qin ◽  
Xiaoping Jin ◽  
Xiao-Hua Zhou
Keyword(s):  
Roc Curve ◽  
Interval Estimation ◽  
Partial Area ◽  
Non Parametric

scholarly journals Validation of real-time polymerase chain reaction versus conventional polymerase chain reaction for diagnosis of brucellosis in cattle sera

2021 ◽  
Vol 14 (1) ◽  
pp. 144-154
Author(s):  
Nour H. Abdel-Hamid ◽  
Eman I. M. Beleta ◽  
Mohamed A. Kelany ◽  
Rania I. Ismail ◽  
Nadia A. Shalaby ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Roc Curve ◽  
Diagnostic Performance ◽  
Rt Pcr ◽  
Conventional Pcr ◽  
Chain Reaction ◽  
Serum Samples ◽  
Polymerase Chain ◽  
Pcr Targeting ◽  
Pcr Techniques

Background and Aim: Different polymerase chain reaction (PCR) techniques have and are still being used for the direct detection of Brucella DNA in serum samples of different animal species and humans without being validated or properly validated, resulting in discrepancies. Thus, this study aimed to evaluate the diagnostic performance of the TaqMan Real- Time-PCR (RT-PCR) targeting the bcsp31 gene versus conventional PCR for the accurate diagnosis of brucellosis at the genus level in cattle sera. Materials and Methods: One hundred and eighty-four serum samples were collected from bacteriologically positive and negative cows with ages ranging from 1 to 5 years old at some infected private farms in the Nile Delta under quarantine measures as well as brucellosis free farms. These samples were classified into four groups after serological diagnosis and investigated by TaqMan RT-PCR and conventional PCR targeting the IS711 gene for Brucella DNA detection. The diagnostic performance characteristics of both PCR techniques were estimated considering the bacteriological results as a gold standard. Results: TaqMan RT-PCR revealed superiority over conventional PCR; it was able to detect Brucella DNA in 95% (67/70) and 89% (25/28) of the cattle sera samples belonging to Group 1 (serologically and bacteriologically positive) and Group 2 (serologically negative but bacteriologically positive), respectively. On evaluating the diagnostic performance, TaqMan RT-PCR showed superior diagnostic sensitivity (93.9%), diagnostic specificity (88.4%), performance index (182.3), almost perfect kappa agreement (0.825±0.042), strong positive correlation (r=0.826), high accuracy based on the receiver operating characteristic (ROC) curve, and area under the ROC curve (0.911) at p<0.05 and CI of 95%. Conclusion: A cattle serum sample is not the metric of choice for targeting Brucella genomic DNA by conventional PCR. The time-saving and rapid TaqMan RT-PCR method revealed a better diagnostic performance in the detection of Brucella DNA in cattle sera. Such performance offered by TaqMan RT-PCR may be considered a step toward the possibility of using such technology in the direct differentiation between Brucella-infected and -vaccinated cattle immunized by smooth vaccines from cattle sera using primers specific for such vaccines.

scholarly journals Radiomic Evaluations of the Diagnostic Performance of DM, DBT, DCE MRI, DWI, and Their Combination for the Diagnosisof Breast Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Shuxian Niu ◽  
Xiaoyu Wang ◽  
Nannan Zhao ◽  
Guanyu Liu ◽  
Yangyang Kan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Roc Curve ◽  
Diagnostic Performance ◽  
Digital Breast Tomosynthesis ◽  
Lasso Regression ◽  
Clinical Predictors ◽  
Breast Tomosynthesis ◽  
Clinical Model ◽  
Selection Operator ◽  
Radiomics Signature

ObjectivesThis study aims to evaluate digital mammography (DM), digital breast tomosynthesis (DBT), dynamic contrast-enhanced (DCE), and diffusion-weighted (DW) MRI, individually and combined, for the values in the diagnosis of breast cancer, and propose a visualized clinical-radiomics nomogram for potential clinical uses.MethodsA total of 120 patients were enrolled between September 2017 and July 2018, all underwent preoperative DM, DBT, DCE, and DWI scans. Radiomics features were extracted and selected using the least absolute shrinkage and selection operator (LASSO) regression. A radiomics nomogram was constructed integrating the radiomics signature and important clinical predictors, and assessed with the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA).ResultsThe radiomics signature derived from DBT plus DM generated a lower area under the ROC curve (AUC) and sensitivity, but a higher specificity compared with that from DCE plus DWI. The nomogram integrating the combined radiomics signature, age, and menstruation status achieved the best diagnostic performance in the training (AUCs, nomogram vs. combined radiomics signature vs. clinical model, 0.975 vs. 0.964 vs. 0.782) and validation (AUCs, nomogram vs. combined radiomics signature vs. clinical model, 0.983 vs. 0.978 vs. 0.680) cohorts. DCA confirmed the potential clinical usefulness of the nomogram.ConclusionsThe DBT plus DM provided a lower AUC and sensitivity, but a higher specificity than DCE plus DWI for detecting breast cancer. The proposed clinical-radiomics nomogram has diagnostic advantages over each modality, and can be considered as an efficient tool for breast cancer screening.

scholarly journals Diagnostic performance of neutrophil CD64 index in patients with sepsis in the intensive care unit

2019 ◽  
Vol 47 (9) ◽  
pp. 4304-4311 ◽  
Author(s):  
Zhenglong Ye ◽  
Hui Zou ◽  
Shangxiang Liu ◽  
Chengqing Mei ◽  
Xiaoliang Chang ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Roc Curve ◽  
Diagnostic Performance ◽  
Coronary Bypass ◽  
Diagnostic Value ◽  
Procalcitonin Level ◽  
Reactive Protein ◽  
Neutrophil Cd64 ◽  
Sensitivity Specificity

Objective This study was performed to evaluate the diagnostic value of the neutrophil CD64 index in patients with sepsis in the intensive care unit (ICU). Methods Patients with sepsis who were treated at the ICU of the authors’ institution from December 2016 to June 2018 were retrospectively reviewed. The controls comprised age- and sex-matched patients who underwent coronary bypass and had no evidence of infection. The neutrophil CD64 index, C-reactive protein (CRP) level, and procalcitonin level were compared between the two groups. The diagnostic performance of these measures, including the sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve, was examined. Results In total, 35 patients with sepsis and 27 control patients were included in the data analysis. The sensitivity of the neutrophil CD64 index, CRP level, and procalcitonin level was 83%, 74%, and 77%, respectively. The specificity was 88%, 86%, and 81%, respectively. The area under the ROC curve was 0.923 [95% confidence interval (CI), 0.856–0.989], 0.904 (95% CI, 0.832–0.976), and 0.863 (95% CI, 0.776–0.950), respectively. Conclusion The neutrophil CD64 index is a valuable biomarker for diagnosing sepsis in patients in the ICU.

On the use of partial area under the ROC curve for comparison of two diagnostic tests

2014 ◽  
Vol 57 (2) ◽  
pp. 304-320 ◽  
Author(s):  
Hua Ma ◽  
Andriy I. Bandos ◽  
David Gur
Keyword(s):  
Roc Curve ◽  
Diagnostic Tests ◽  
Partial Area

Deviation from Perfect Performance Measures the Diagnostic Utility of Eyewitness Lineups but Partial Area Under the ROC Curve Does Not

2019 ◽  
Vol 8 (1) ◽  
pp. 50-59 ◽  
Author(s):  
Andrew M. Smith ◽  
James Michael Lampinen ◽  
Gary L. Wells ◽  
Laura Smalarz ◽  
Simona Mackovichova
Keyword(s):  
Performance Measures ◽  
Roc Curve ◽  
Diagnostic Utility ◽  
Perfect Performance ◽  
Partial Area

Multi-objective evolutionary algorithm for optimizing the partial area under the ROC curve

2019 ◽  
Vol 170 ◽  
pp. 61-69 ◽  
Author(s):  
Fan Cheng ◽  
Guanglong Fu ◽  
Xingyi Zhang ◽  
Jianfeng Qiu
Keyword(s):  
Evolutionary Algorithm ◽  
Roc Curve ◽  
Multi Objective ◽  
Partial Area
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