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. 2021 Oct 12;11:701598. doi: 10.3389/fonc.2021.701598

Table 2.

The clinical model, radiomics signature, and radiomics nomogram for patients with LAC and LTB in training and validation sets.

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.