Table 4.
Predictive performance of clinic-radiological model, radiomics signature, and radiomics nomogram.
| Model | Radiomics nomogram | Radiomics signature | Clinic-radiological model | |||
|---|---|---|---|---|---|---|
| Training | Testing | Training | Testing | Training | Testing | |
| AUC (95% CI) | 0.891 (0.832-0.962) | 0.843 (0.718-0.975) | 0.833 (0.751-0.925) | 0.804 (0.667-0.958) | 0.809 (0.715-0.897) | 0.722 (0.546-0.894) |
| Accuracy | 0.822 (0.727-0.895) | 0.811 (0.649-0.920) | 0.778 (0.678-0.859) | 0.783 (0.618-0.902) | 0.756 (0.654-0.840) | 0.703 (0.530-0.841) |
| Sensitivity | 0.796 | 0.727 | 0.854 | 0.850 | 0.679 | 0.636 |
| Specificity | 0.848 | 0.933 | 0.691 | 0.706 | 0.882 | 0.801 |
| PPV | 0.833 | 0.941 | 0.759 | 0.773 | 0.905 | 0.824 |
| NPV | 0.813 | 0.709 | 0.806 | 0.804 | 0.625 | 0.621 |