Table 3.
MC-net IDH classification results.
| Network Type | Training Group | Metrics | UTSW | NYU | UWM | EGD | UCSF | Overall Accuracy |
Overall AUC |
|---|---|---|---|---|---|---|---|---|---|
| MC-net | TCIA | Accuracy | 87.2 | 91.9 | 87.4 | 92.3 | 93.5 | 91.0 | 0.9448 |
| Sensitivity | 73.1 | 78.3 | 84.2 | 86.0 | 89.3 | 83.0 | |||
| Specificity | 93.0 | 94.7 | 87.8 | 95.4 | 94.5 | 93.6 | |||
| Dice Score | 0.90 ± 0.13 | 0.92 ± 0.10 | 0.91 ± 0.11 | 0.77 ± 0.17 | 0.87 ± 0.14 | 0.86 ± 0.15 | |||
| TCIA + EGD | Accuracy | 90.0 | 92.6 | 92.6 | - | 94.9 | 92.8 | 0.9646 | |
| Sensitivity | 80.8 | 79.3 | 68.4 | - | 88.3 | 82.3 | |||
| Specificity | 93.8 | 96.5 | 95.5 | - | 96.7 | 95.6 | |||
| Dice Score | 0.90 ± 0.13 | 0.92 ± 0.13 | 0.92 ± 0.07 | - | 0.87 ± 0.13 | 0.89 ± 0.13 |