Table 4.
Model | AUC (95% CI) | Sensitivity %* | Specificity %* | Accuracy %* |
---|---|---|---|---|
Training set (n = 75) | ||||
Clinical model | 0.797 (0.689 to 0.881) | 68.29 (28/41) | 82.35 (28/34) | 74.67 (56/75) |
Radiomics signature | 0.926 (0.842 to 0.974) | 90.24 (37/41) | 88.24 (30/34) | 89.33 (67/75) |
Radiomics nomogram | 0.953 (0.878 to 0.989) | 92.68 (38/41) | 85.29 (29/34) | 89.33 (67/75) |
Test set (n = 52) | ||||
Clinical model | 0.734 (0.593 to 0.847) | 85.71 (24/28) | 62.50 (15/24) | 75.00 (39/52) |
Radiomics signature | 0.902 (0.787 to 0.967) | 78.57 (22/28) | 87.50 (21/24) | 82.69 (43/52) |
Radiomics nomogram | 0.918 (0.808 to 0.976) | 89.29 (25/28) | 83.33 (20/24) | 86.54 (45/52) |
CI: confidence interval;AUC: area under the curve
Numbers in parentheses were used to calculate percentages