Table 3.
Predictive performance of radiomics models in non-contrast-enhanced and different contrast-enhanced phases
| Dataset | Metric | Non-contrast | Arterial | Venous | Delayed |
|---|---|---|---|---|---|
| Training | AUC | 0.792 | 0.803 | 0.791 | 0.801 |
| Accuracy | 0.739 | 0.757 | 0.752 | 0.743 | |
| Sensitivity | 0.741 | 0.667 | 0.667 | 0.704 | |
| Specificity | 0.738 | 0.770 | 0.764 | 0.749 | |
| Validation 1 | AUC | 0.822 | 0.814 | 0.807 | 0.834 |
| Accuracy | 0.708 | 0.760 | 0.771 | 0.688 | |
| Sensitivity | 0.889 | 0.667 | 0.667 | 0.889 | |
| Specificity | 0.690 | 0.770 | 0.782 | 0.667 | |
| Validation 2 | AUC | 0.711 | 0.725 | 0.737 | 0.709 |
| Accuracy | 0.667 | 0.696 | 0.696 | 0.609 | |
| Sensitivity | 0.667 | 0.500 | 0.500 | 0.500 | |
| Specificity | 0.667 | 0.737 | 0.737 | 0.632 |
Best AUC values in each validation dataset were marked with bold text. AUC, area under the receiver operating characteristic curve