Table 5.
Cohort | Prediction model | AUC | Sen | Spe | PPV | NPV | ACC | F1-score |
---|---|---|---|---|---|---|---|---|
Training cohort | FS-T2WI model | 0.731 | 0.391 | 0.902 | 0.642 | 0.767 | 0.743 | 0.486 |
Arterial phase model | 0.800 | 0.435 | 0.922 | 0.714 | 0.783 | 0.770 | 0.541 | |
Portal venous phase model | 0.800 | 0.435 | 0.882 | 0.625 | 0.776 | 0.743 | 0.513 | |
Multisequence model | 0.831 | 0.565 | 0.902 | 0.722 | 0.821 | 0.797 | 0.634 | |
Radiomics-clinical model | 0.898 | 0.652 | 0.922 | 0.790 | 0.855 | 0.838 | 0.714 | |
Validation cohort | FS-T2WI model | 0.621 | 0.272 | 0.870 | 0.500 | 0.714 | 0.676 | 0.353 |
Arterial phase model | 0.743 | 0.545 | 0.956 | 0.857 | 0.815 | 0.824 | 0.667 | |
Portal venous phase model | 0.771 | 0.364 | 0.957 | 0.800 | 0.759 | 0.765 | 0.500 | |
Multisequence model | 0.810 | 0.454 | 1.000 | 1.000 | 0.793 | 0.824 | 0.625 | |
Radiomics-clinical model | 0.779 | 0.636 | 1.000 | 1.000 | 0.852 | 0.882 | 0.778 |
AUC, area under the receiver operating characteristic curve; ACC, accuracy; Sen, sensitivity; Spe, specificity; PPV, positive predictive value; and NPV, negative predictive value.