Table 3.
Predictive performance of variables in the training and validation sets.
Variables | Training set | Validation set | ||||
---|---|---|---|---|---|---|
AUC (95% CI) | Sensitivity (%) | Specificity (%) | AUC (95% CI) | Sensitivity (%) | Specificity (%) | |
Model-score | 0.838 (0.731–0.914) | 72.22% | 88.68% | 0.811 (0.634–0.927) | 85.71% | 76.00% |
Rad-Score | 0.800 (0.688–0.885) | 66.67% | 81.13% | 0.794 (0.615–0.916) | 100% | 56.00% |
Smoking | 0.738 (0.621–0.836) | 72.22% | 75.47% | 0.699 (0.481–0.824) | 85.71% | 48.00% |
SUVmax | 0.771 (0.656–0.862) | 72.22% | 73.58% | 0.783 (0.602–0.908) | 85.71% | 72.00% |