Table 2.
Group | Model | AUC curve (95% CI) | Accuracy | Sensitivity | Specificity | PPV | NPV |
---|---|---|---|---|---|---|---|
Training set | Clinical model | 0.92 (0.88–0.95) | 0.8500 | 0.9612 | 0.6923 | 0.8158 | 0.9265 |
Radiomics signature | 0.99 (0.98–1.00) | 0.9727 | 0.9706 | 0.9737 | 0.9429 | 0.9867 | |
Radiomics nomogram | 1.00 (0.98–1.00) | 0.9772 | 0.9868 | 0.9565 | 0.9803 | 0.9706 | |
Validation set | Clinical model | 0.91 (0.86–0.97) | 0.7849 | 0.9245 | 0.6000 | 0.7538 | 0.8571 |
Radiomics signature | 0.99 (0.98–1.00) | 0.9462 | 0.9643 | 0.9385 | 0.8710 | 0.9839 | |
Radiomics nomogram | 0.99 (0.98–1.00) | 0.9570 | 0.9841 | 0.9000 | 0.9538 | 0.9643 |
AUC curve, the area under receiver operating characteristic curve; CI, confidence interval; LAC, lung adenocarcinoma; LTB, lung tuberculoma; PPV, positive predictive value; NPV, negative predictive value.