Table 3.
Performance of the clinical and radiomics model in the training and validation cohorts
AUC (95% CI) | Accuracy | Sensitivity | Specificity | PPV | NPV | F-l score | ||
---|---|---|---|---|---|---|---|---|
Radiomic model | The training cohort | 0.952 (0.907–0.996) | 0.8636364 | 0.8979592 | 0.8205128 | 0.8627451 | 0.8648649 | 0.88 |
The validation cohort |
0.898 (0.850–0.946) |
0.8409091 | 0.8775510 | 0.7948718 | 0.8431373 | 0.8378378 | 0.86 | |
Clinical model | The training cohort |
0.670 (0.5904–0.75) |
0.6534091 | 0.7653061 | 0.5128205 | 0.6637168 | 0.6349206 | 0.71 |
The validation cohort |
0.678 (0.5535–0.801) |
0.6184211 | 0.7142857 | 0.5000000 | 0.6382979 | 0.5862069 | 0.67 | |
Combined model | The training cohort |
0.906 (0.8632–0.9498) |
0.8522727 | 0.8877551 | 0.8076923 | 0.8529412 | 0.8513514 | 0.87 |
The validation cohort |
0.957 (0.9183–0.9963) |
0.8947368 | 0.8333333 | 0.9705882 | 0.9722222 | 0.8250000 | 0.90 |
PPV: positive predictive value; NPV: negative predictive value