<p>The area under the curve (AUC) was 0.853. A cut-off value of CC depth of 115 μm had a sensitivity of 76% and specificity of 87% in predicting the ACS plaques.</p
ROC curve showing optimal cut-off value of 3 mm (sensitivity, 0.795; specificity, 0.61).</p
Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...
<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measur...
<p>Area under the curve (AUC) was 0.898 (<i>P</i> = 0.000). The cutoff value was 0.882.</p
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
<p>PA, platelet aggregation; AUC, area under the curve; CI, confidence interval. Cut off value was c...
Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.864 (95% CI 0....
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>The ROC curve area for CD8<sup>+</sup>CD28<sup>-</sup>CD57<sup>+</sup> (AUC) was 0.79 and the cut...
<p>AUC = area under the receiver-operating characteristics curve; CI = confidence interval.</p
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>The area under the ROC curve (AUC) for each score and its 95% confidence interval are provided.</...
Area under the curve (AUC) determined with ROC analyses with respect to prediction of cartilage degr...
Based on c-statistics, the area under the curve (AUC) for age was 0.632 [95% CI 0.569–0.696], and th...
ROC curve showing optimal cut-off value of 3 mm (sensitivity, 0.795; specificity, 0.61).</p
Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...
<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measur...
<p>Area under the curve (AUC) was 0.898 (<i>P</i> = 0.000). The cutoff value was 0.882.</p
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...
<p>PA, platelet aggregation; AUC, area under the curve; CI, confidence interval. Cut off value was c...
Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.864 (95% CI 0....
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>The ROC curve area for CD8<sup>+</sup>CD28<sup>-</sup>CD57<sup>+</sup> (AUC) was 0.79 and the cut...
<p>AUC = area under the receiver-operating characteristics curve; CI = confidence interval.</p
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>The area under the ROC curve (AUC) for each score and its 95% confidence interval are provided.</...
Area under the curve (AUC) determined with ROC analyses with respect to prediction of cartilage degr...
Based on c-statistics, the area under the curve (AUC) for age was 0.632 [95% CI 0.569–0.696], and th...
ROC curve showing optimal cut-off value of 3 mm (sensitivity, 0.795; specificity, 0.61).</p
Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...
<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measur...