Precision medicine in the prediction of metachronous liver metastasis in rectal cancer: Applications and challenges  

作　　者：Xu-Xing Ye Hui-Heng Qu Chao Yang Wei-Jun Teng Yan-Ping Chen Jun-Mei Lin Xiao-Bo Wang 

机构地区：[1]Department of Traditional Chinese Medicine,Jinhua Municipal Central Hospital,Jinhua 321000,Zhejiang Province,China [2]Department of General Surgery,Wuxi No.2 people’s Hospital,Wuxi 214002,Jiangsu Province,China [3]The Fourth School of Clinical Medicine,Zhejiang Chinese Medical University,Hangzhou 310000,Zhejiang Province,China [4]Department of Gastroenterology,Jinhua Municipal Central Hospital,Jinhua 321000,Zhejiang Province,China

出　　处：《World Journal of Gastrointestinal Oncology》2025年第4期26-30,共5页世界胃肠肿瘤学杂志(英文)

摘　　要：Rectal cancer is a major global health concern,and metachronous liver metastasis(MLM)significantly worsens patient prognosis.Advances in imaging and machine learning have led to the development of radiomics models,particularly those utilizing multiparametric magnetic resonance imaging,which are highly valuable in predicting MLM.These models analyze imaging features to provide insights that can aid clinical decision-making and potentially improve treatment outcomes and survival rates.However,realizing the full potential of radiomics models faces challenges in terms of accuracy,generalizability,and data depen-dency.This editorial comments on a study regarding radiomics prediction models for rectal cancer MLM published recently in the World Journal of Gastrointestinal Oncology,discusses the progress,challenges,and strategies for diagnostic models of MLM in rectal cancer,and proposes directions for future research.

关 键 词：Rectal cancer Metachronous liver metastasis Radiomics Predictive modeling Magnetic resonance imaging 

分 类 号：R73[医药卫生—肿瘤]