Table 5.
Diagnostic performance of the clinical model, radiomics signature and radiomics nomogram
| Model | Cut-off | AUC (95% CI) | Sensitivity % | Specificity % | Accuracy % | TPR% | FPR% | TNR% | FNR% |
|---|---|---|---|---|---|---|---|---|---|
| Training set (n = 84) | |||||||||
| Clinical model | −1.815 | 0.759 (0.646–0.872) | 75.0 | 76.8 | 76.2 | 61.8 | 38.2 | 86.0 | 14.0 |
| Radiomics signature | −0.662 | 0.966 (0.933–0.998) | 82.1 | 92.9 | 89.3 | 85.2 | 14.8 | 91.2 | 8.8 |
| Radiomics nomogram | −0.168 | 0.979 (0.954–1.000) | 89.3 | 96.4 | 94.0 | 92.6 | 7.4 | 94.7 | 5.3 |
| Validation set (n = 57) | |||||||||
| Clinical model | −1.815 | 0.895 (0.796–0.993) | 89.5 | 73.7 | 78.9 | 81.0 | 19.0 | 94.4 | 5.6 |
| Radiomics signature | −0.545 | 0.957 (0.904–1.000) | 84.2 | 94.7 | 91.2 | 88.9 | 11.1 | 92.3 | 7.7 |
| Radiomics nomogram | 0.190 | 0.988 (0.966–1.000) | 89.5 | 97.4 | 94.7 | 94.4 | 5.6 | 94.9 | 5.1 |
CI: confidence interval; Data in the parentheses are raw data.; TPR, True Positive Rate; FPR, False positive Rate; TNR, True Negative Rate; FNR, False Negative Rate.