Table 2.
Model | AUCa | Accuracya | Sensitivitya | Specificitya | ||||
---|---|---|---|---|---|---|---|---|
Training cohort | Validation cohort | Training cohort | Validation cohort | Training cohort | Validation cohort | Training cohort | Validation cohort | |
Plain classifier | 0.855 | 0.570 | 0.945 | 0.755 | 0.921 | 0.560 | 0.949 | 0.788 |
AP classifier | 0.920 | 0.657 | 0.905 | 0.793 | 1.000 | 0.517 | 0.890 | 0.839 |
VP classifier | 0.963 | 0.813 | 0.976 | 0.863 | 1.000 | 0.727 | 0.973 | 0.885 |
EP classifier | 0.769 | 0.544 | 0.974 | 0.766 | 1.000 | 0.660 | 0.970 | 0.784 |
Sig classifier | 0.896 | 0.651 | 0.913 | 0.761 | 1.000 | 0.573 | 0.899 | 0.792 |
AP arterial phase, VP portal venous phase, EP equilibrium phase.
aAUC mean area under the curve.