Table 2. Predictive Performance of Three Models in the Training and Validation Cohorts.
Model | Training Cohort (n = 311) | Validation Cohort (n = 211) | ||||
---|---|---|---|---|---|---|
AUC (95% CI) | Sensitivity* | Specificity* | AUC (95% CI) | Sensitivity* | Specificity* | |
Radiomics model | 0.767 (0.709–0.825) | 0.750 | 0.659 | 0.784 (0.712–0.855) | 0.750 | 0.695 |
Clinical model | 0.823 (0.775–0.871) | 0.705 | 0.789 | 0.844 (0.788–0.900) | 0.717 | 0.788 |
Clinical-radiomics model | 0.868 (0.825–0.910) | 0.739 | 0.861 | 0.890 (0.844–0.936) | 0.817 | 0.841 |
*Balanced sensitivity and specificity at the cutoff yielding the largest Youden index value. AUC = area under the receiver operating characteristic curve, CI = confidence interval