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

Figure 2 Workflow of necessary steps in current study. Region of interests were drawn on hepatobiliary phase gadoxetic acid-enhanced magnetic resonance images. For feature selection, the least absolute shrink-age and selection operator method was applied to select significant features. The radiomics signature was constructed by a linear combination of selected features. The performance of the prediction model was assessed by the area under a receiver operating characteristic curve and the calibration curve. To provide a more understandable outcome measure, a nomogram was built for individualized evaluation, followed by decision curve analysis. ROIs: Region of interests.