Outcome prediction after resection of colorectal cancer liver metastases: out with the old, in with the new?  

作　　者：Iakovos Amygdalos Daniel Truhn Florian W.R.Vondran 

机构地区：[1]Department of General,Visceral,Pediatric and Transplantation Surgery,University Hospital RWTH Aachen,Aachen,Germany [2]Department of Diagnostic and Interventional Radiology,University Hospital RWTH Aachen,Aachen,Germany

出　　处：《Hepatobiliary Surgery and Nutrition》2024年第4期732-735,共4页肝胆外科与营养（英文）

摘　　要：Colorectal cancer remains one of the commonest and most lethal malignancies worldwide(1).Up to 80%of patients with colorectal cancer develop liver metastases(CRLM),which are the main factor limiting survival(1,2).Despite advances in systemic therapy and the emergence of multimodal treatment concepts,curative surgical resection remains the best therapeutic option and provides the highest chance of long-term survival(1,2).However,liver resection is associated with perioperative morbidity and mortality,while multiple factors affect long-term prognosis(3,4).As a result,various predictive models have been developed over time,to improve preoperative patient selection and foresee unfavourable outcomes.

关 键 词：Machine learning(ML) artificial intelligence(AI) COLORECTAL liver metastases HEPATOBILIARY 

分 类 号：R735.3[医药卫生—肿瘤]