Table 3.
Predictive performance of the two models in the training and validation cohorts
Radiomics model1 | Radiomics nomogram model1 | |||
---|---|---|---|---|
Training cohort | Validation cohort | Training cohort | Validation cohort | |
AUC (95%CI) | 0.848 (0.743–0.952) | 0.795 (0.581–1.000) | 0.902 (0.811–0.994) | 0.877 (0.735–1.000) |
Accuracy (%) | 0.766 | 0.714 | 0.875 | 0.893 |
Sensitivity (%) | 0.625 | 1.000 | 0.857 | 0.800 |
Specificity (%) | 0.906 | 0.704 | 0.884 | 0.944 |
Positive predictive value (%) | 0.870 | 0.111 | 0.783 | 0.889 |
Negative predictive value (%) | 0.707 | 1.000 | 0.927 | 0.895 |