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©The Author(s) 2022.
World J Gastroenterol. Aug 21, 2022; 28(31): 4376-4389
Published online Aug 21, 2022. doi: 10.3748/wjg.v28.i31.4376
Published online Aug 21, 2022. doi: 10.3748/wjg.v28.i31.4376
Figure 7 Risk stratification ability of the nomogram was estimated by the Kaplan–Meier method and log-rank test in the training and validation cohorts.
A and B: Kaplan–Meier curves between the low- and high-risk subgroups of overall survival in the training cohort (A) and validation cohort (B); C and D: Kaplan–Meier curves between the low- and high-risk subgroups of disease-free survival in the training cohort (C) and validation cohort (D). Patients with hepatocellular carcinoma in the training and validation cohorts were divided into low- and high-risk subgroups according to whether the total points of each patient were lower or higher than the median points of each cohort.
- Citation: Deng PZ, Zhao BG, Huang XH, Xu TF, Chen ZJ, Wei QF, Liu XY, Guo YQ, Yuan SG, Liao WJ. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma. World J Gastroenterol 2022; 28(31): 4376-4389
- URL: https://www.wjgnet.com/1007-9327/full/v28/i31/4376.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i31.4376