Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure

Table 3 Receiver operating characteristics analysis of the predictive value of clinical prediction model, radiomics signature and radiomics-based model

	Clinical prediction model	Radiomics signature	Radiomics-based model
AUC (95%CI)	0.810 (0.691-0.929)	0.809 (0.713-0.906)	0.894 (0.823-0.964)
Optimized Youden Index	0.579	0.556	0.712
Sensitivity (95%CI)	0.800 (0.514-0.947)	0.800 (0.514-0.947)	0.933 (0.660-0.997)
Specificity (95%CI)	0.779 (0.674-0.858)	0.756 (0.649-0.839)	0.779 (0.674-0.859)
PPV (95%CI)	0.387 (0.224-0.577)	0.364 (0.210-0.549)	0.424 (0.260-0.606)
NPV (95%CI)	0.957 (0.872-0.989)	0.956 (0.868-0.989)	0.985 (0.910-0.999)
Accuracy (95%CI)	0.782 (0.691-0.852)	0.762 (0.670-0.835)	0.802 (0.713-0.869)

AUC: Area under the curve; CI: Confidence interval; NPV: Negative predictive value; PPV: Positive predictive value.