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. 2023 Jul 5;13:1164739. doi: 10.3389/fonc.2023.1164739

Table 3.

Performance of the models for post-hepatectomy liver failure prediction in training and test cohorts.

Clin-model Rad-model Combined model
Training cohort Cut-off value 0.27 0.29 0.28
AUC (95% CI) 0.74 (0.65–0.83) 0.79 (0.72–0.86) 0.84 (0.77–0.90)
Sensitivity 0.70 0.70 0.78
Specificity 0.74 0.76 0.81
PPV 0.49 0.51 0.59
NPV 0.88 0.88 0.91
Accuracy 0.73 0.75 0.80
Test cohort AUC (95% CI) 0.71 (0.57–0.84) 0.79 (0.69–0.89) 0.82 (0.72–0.91)
Sensitivity 0.87 0.87 0.93
Specificity 0.55 0.70 0.67
PPV 0.30 0.39 0.39
NPV 0.95 0.96 0.98
Accuracy 0.61 0.73 0.72

AUC, area under the receiver operating characteristics curve; CI, confidence interval; PPV, positive predictive value; NPV, negative predictive value.