影像学预测肝切除术后肝衰竭的研究进展
Research process in imaging prediction of post-hepatectomy liver failure
张晓烨 1贺业新2
作者信息
- 1. 山西医科大学医学影像学院,太原 030012
- 2. 山西医科大学附属山西省人民医院放射科,太原 030012
- 折叠
摘要
目前肝切除术已成为原发性和转移性肝脏肿瘤的首选治疗方法.尽管外科手术和围手术期护理不断改进,肝切除术后肝衰竭(post-hepatectomy liver failure,PHLF)仍然是术后并发症和死亡最严重的原因.准确预测PHLF的发生至关重要.本文综述了影像学预测PHLF的研究进展,从形态、功能影像学和人工智能角度进行分析,旨在增进对PHLF的理解,力求降低其发生率.
Abstract
Hepatic resection is a preferred treatment for patients with primary and metastatic liver tumors.Despite improvements in operative techniques and perioperative care,post-hepatectomy liver failure remains the most serious cause of morbidity and mortality after surgery.This article reviews research advances in imaging to predict liver failure after hepatectomy,analyzing it from morphological,functional imaging,and artifactual intelligence perspectives,aiming to improve the understanding of PHLF and seeking to reduce its incidence.
关键词
肝切除术/肝衰竭/影像学/人工智能Key words
hepatectomy/liver failure/imaging/artificial intelligence引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据