Predicting the prognosis of hepatic arterial infusion chemotherapy in hepatocellular carcinoma

Figure 5 Workflow of the study[65]. A: Tumor segmentation on magnetic resonance images. Radiomic feature extraction from the volume of interest; B: The least absolute shrinkage and selection operator regression was applied to identify optimal radiomic features and construct the Rad-score; C: The nomogram model was established. The receiver-operator characteristic and calibration curves were constructed to assess the model performance. Citation: Zhao Y, Huang F, Liu S, Jian L, Xia X, Lin H, Liu J. Prediction of therapeutic response of unresectable hepatocellular carcinoma to hepatic arterial infusion chemotherapy based on pretherapeutic MRI radiomics and Albumin-Bilirubin score. J Cancer Res Clin Oncol 2023; 149: 5181-5192. Copyright © 2022 The Author(s). Published by Springer Nature. The authors have obtained the permission for figure using (Supplementary material).