Figure 3

ROC curve of Kmean-post. The optimal Kmean-post threshold for distinguishing the RG from the NRG was 0.30, with 87.5% sensitivity and 91.3% specificity (AUC: 0.924; 95% CI, 0.83-1.00).

ROC curve of Kmean-post. The optimal Kmean-post threshold for distinguishing the RG from the NRG was 0.30, with 87.5% sensitivity and 91.3% specificity (AUC: 0.924; 95% CI, 0.83-1.00).