Copyright
©The Author(s) 2023.
World J Gastroenterol. Jul 14, 2023; 29(26): 4186-4199
Published online Jul 14, 2023. doi: 10.3748/wjg.v29.i26.4186
Published online Jul 14, 2023. doi: 10.3748/wjg.v29.i26.4186
Figure 5 Evaluation of the radiomics model to predict early recurrence.
A: Receiver operating characteristic (ROC) curves to predict 1- and 2-year recurrence-free survival (RFS) in the training cohort; B: ROC curves to predict 1- and 2-year RFS in the validation cohort; C: Calibration curves of the 1- and 2-year RFS in the training cohort; D: Calibration curves of the 1- and 2-year RFS in the validation cohort; E: Decision curve analysis of the combined model in the training cohort; F: Decision curve analysis of the combined model in the validation cohort. ROC: Receiver operating characteristic; RFS: Recurrence-free survival; AUC: Area under curve.
- Citation: Li SQ, Su LL, Xu TF, Ren LY, Chen DB, Qin WY, Yan XZ, Fan JX, Chen HS, Liao WJ. Radiomics model based on contrast-enhanced computed tomography to predict early recurrence in patients with hepatocellular carcinoma after radical resection. World J Gastroenterol 2023; 29(26): 4186-4199
- URL: https://www.wjgnet.com/1007-9327/full/v29/i26/4186.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i26.4186