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. 2023 May 12;13:7710. doi: 10.1038/s41598-023-34763-y

Table 5.

Predictive performance of each model for HCC PD-L1 expression.

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.