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Performance of the predictive models in the training and validation datasets
| Dataset | Model | AUC (95% CI) | p-value | ACC | SEN | SPE | PPV | NPV |
|---|---|---|---|---|---|---|---|---|
| Training | Radscore | 0.803 (0.750–0.850) | < 0.001 | 74.6% | 75.9% | 73.0% | 78.0% | 70.6% |
| Nomogram | 0.891 (0.847–0.926) | 84.2% | 82.1% | 87.0% | 88.8% | 79.4% | ||
| Validation | Radscore | 0.780 (0.691–0.853) | < 0.001 | 73.0% | 66.7% | 81.3% | 82.4% | 65.0% |
| Nomogram | 0.897 (0.825–0.947) | 87.4% | 82.5% | 93.8% | 94.5% | 80.4% |
