Table 3.
Model | Cut-off | Cohort | AUC (95% CI) | Accuracy | Sensitivity | Specificity | PPV | NPV |
---|---|---|---|---|---|---|---|---|
Radiomics model | −0.50 | Training cohort | 0.81 (0.74–0.87) | 0.75 | 0.85 | 0.70 | 0.63 | 0.88 |
Internal validation cohort | 0.79 (0.71–0.88) | 0.74 | 0.83 | 0.68 | 0.61 | 0.87 | ||
External validation cohort | 0.79 (0.70–0.88) | 0.80 | 0.60 | 0.91 | 0.78 | 0.81 | ||
Clinical model | −0.44 | Training cohort | 0.68 (0.60–0.76) | 0.67 | 0.62 | 0.70 | 0.55 | 0.75 |
Internal validation cohort | 0.66 (0.56–0.75) | 0.61 | 0.51 | 0.67 | 0.48 | 0.69 | ||
External validation cohort | 0.65 (0.55–0.75) | 0.65 | 0.56 | 0.69 | 0.50 | 0.74 | ||
Combined model | −0.42 | Training cohort | 0.86 (0.80–0.91) | 0.82 | 0.83 | 0.81 | 0.72 | 0.89 |
Internal validation cohort | 0.82 (0.74–0.90) | 0.76 | 0.65 | 0.84 | 0.77 | 0.76 | ||
External validation cohort | 0.82 (0.75–0.90) | 0.79 | 0.90 | 0.60 | 0.81 | 0.76 |
Note. AUC, area under the receiver operating characteristic curve; CI, confidence interval; NPV, negative-predictive value; PPV, positive-predictive value.