Table 3.
Cohort | Model | AUC | 95% CI | Sensitivity | Specificity | Accuracy |
---|---|---|---|---|---|---|
Training cohort | Clinical-radiographic model | 0.729 | 0.661–0.798 | 0.817 | 0.576 | 0.638 |
Radiomics model | 0.854 | 0.804–0.905 | 0.883 | 0.663 | 0.720 | |
Combined model | 0.856 | 0.804–0.908 | 0.850 | 0.727 | 0.759 | |
Testing cohort | Clinical-radiographic model | 0.652 | 0.523–0.782 | 0.680 | 0.452 | 0.510 |
Radiomics model | 0.846 | 0.766–0.927 | 0.840 | 0.678 | 0.729 | |
Combined model | 0.859 | 0.781–0.937 | 0.880 | 0.685 | 0.735 | |
Validation cohort | Clinical-radiographic model | 0.692 | 0.542–0.843 | 0.682 | 0.600 | 0.635 |
Radiomics model | 0.814 | 0.699–0.928 | 0.955 | 0.668 | 0.769 | |
Combined model | 0.765 | 0.638–0.893 | 0.773 | 0.656 | 0.762 |
95% CI means 95% confidence interval