Table 2.
Results of each model in the training cohort (institution 1).
| Model | AUC | p | Cut-Off (%) | Se (%) | Sp (%) | Bacc (%) | Below the Cut-Off | Above the Cut-Off | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total (n, %) |
TN (n, %) |
FN (n, %) |
Total (n, %) |
FP (n, %) |
TP (n, %) |
|||||||
| Clinical | 0.77 | 0.001 | 8.0 | 71.2 | 77.8 | 65.5 | 38 (59.4) | 36 (94.7) | 2 (5.3) | 26 (40.6) | 19 (73.1) | 7 (26.9) |
| Radiomic | 1.00 | <0.0001 | 23.0 | 100.0 | 96.4 | 98.2 | 53 (82.8) | 53 (100.0) | 0 (0.0) | 11 (17.2) | 2 (18.2) | 9 (81.8) |
| Combined | 0.97 | <0.0001 | 5.0 | 100.0 | 87.3 | 93.6 | 48 (75.0) | 48 (100.0) | 0 (0.0) | 16 (25.0) | 7 (43.7) | 9 (56.2) |
| ComBat_Radiomic | 1.00 | <0.0001 | 17 | 100.0 | 100.0 | 100.0 | 55 (85.9) | 55 (100.0) | 0 (0.0) | 9 (14.1) | 0 (0.0) | 9 (100.0) |
| ComBat_Combined | 0.95 | <0.0001 | 6.0 | 100.0 | 80.0 | 90.0 | 44 (68.7) | 44 (100.0) | 0 (0.0) | 20 (31.2) | 11 (55.0) | 9 (45.0) |
Abbreviations: AUC: area under the curve; Se: sensitivity; Sp: specificity; Bacc: balanced accuracy; TN: true negative; FN: false negative; FP: false positive; TP: true positive.