Model | AUC (95%CI) | Accuracy (95%CI) (%) | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) |
---|---|---|---|---|---|---|
Radiomic model | Â | Â | Â | Â | Â | Â |
 Training cohort | 0.888 (0.869 – 0.906) | 81.3 (78.9 – 83.4) | 85.5 | 75.2 | 83.2 | 78.2 |
 Internal validation cohort | 0.874 (0.844 – 0.904) | 78.8 (75.0 – 82.3) | 81.1 | 75.7 | 81.9 | 74.7 |
 External validation cohort | 0.846 (0.822 – 0.870) | 76.9 (74.3 – 79.4) | 54.3 | 90.6 | 77.7 | 76.7 |
Clinical model | Â | Â | Â | Â | Â | Â |
 Training cohort | 0.732 (0.703 – 0.761) | 67.6 (64.9 – 70.2) | 65.8 | 70.1 | 76.1 | 58.7 |
 Internal validation cohort | 0.714 (0.669 – 0.759) | 65.4 (61.1 – 69.5) | 62.5 | 69.3 | 73.4 | 57.6 |
 External validation cohort | 0.777 (0.746 – 0.806) | 72.6 (69.9 – 75.3) | 62.7 | 78.5 | 63.8 | 77.7 |
Combined model | Â | Â | Â | Â | Â | Â |
 Training cohort | 0.893 (0.875 – 0.911) | 81.7 (79.4 – 83.8) | 84.7 | 77.2 | 84.3 | 77.8 |
 Internal validation cohort | 0.873 (0.843 – 0.903) | 78.0 (74.2 – 81.5) | 81.8 | 73.1 | 79.4 | 76.2 |
 External validation cohort | 0.853 (0.830 – 0.877) | 78.3 (75.7 – 80.7) | 88.5 | 61.5 | 79.2 | 76.3 |