Skip to main content
. 2023 Feb 3;14:24. doi: 10.1186/s13244-022-01363-9

Table 3.

Diagnostic performance of three models for the prediction of pGGN invasiveness

Cohort Model AUC 95% CI Sensitivity Specificity Accuracy
Training cohort Clinical-radiographic model 0.729 0.661–0.798 0.817 0.576 0.638
Radiomics model 0.854 0.804–0.905 0.883 0.663 0.720
Combined model 0.856 0.804–0.908 0.850 0.727 0.759
Testing cohort Clinical-radiographic model 0.652 0.523–0.782 0.680 0.452 0.510
Radiomics model 0.846 0.766–0.927 0.840 0.678 0.729
Combined model 0.859 0.781–0.937 0.880 0.685 0.735
Validation cohort Clinical-radiographic model 0.692 0.542–0.843 0.682 0.600 0.635
Radiomics model 0.814 0.699–0.928 0.955 0.668 0.769
Combined model 0.765 0.638–0.893 0.773 0.656 0.762

95% CI means 95% confidence interval