Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis

Figure 5 Receiver operating characteristic of the clinical-radiologic model established by K-Nearest Neighbour, radiomics model established by support vector machine, and the combined model established by K-Nearest Neighbour. A: The area under the curve (AUC) values of the clinical-radiologic, radiomics, and combined models in the training cohort were 0.763, 0.726, and 0.844, respectively; B: In the validation cohort, the AUC values of the clinical-radiologic, radiomics, and combined models were 0.701, 0.756, and 0.790, respectively; C: Calibration curve performance of the combined model in the training cohort; D: Combined model calibration curve in the validation cohort; E: Decision curve analysis (DCA) of the combined model in the training cohort; F: DCA of the combined model in the validation cohort. AUC: Area under the curve.