基于MRI影像组学预测肝癌经导管动脉化疗栓塞术后疗效研究进展
Research progress in MRI-based radiomics for predicting the efficacy of transcatheter arterial chemoembolization for hepatocellular carcinoma
隰子涵 1邵国良2
作者信息
- 1. 325035 浙江温州温州医科大学
- 2. 浙江省肿瘤医院介入治疗科
- 折叠
摘要
肝癌是全球第五大常见恶性肿瘤,临床上有起病隐匿、致死率高等特点.经导管动脉化疗栓塞术(TACE)作为中晚期肝癌患者首选治疗方法,具有降低肿瘤负荷、减轻患者痛苦诸多优势,但受益人群选择仍具挑战性.因此,TACE后疗效预测至关重要.目前有临床检验学、影像学、基因分子学等多种方法可用于预测TACE后疗效.影像学预测具有直观、可解释性强等优点,MRI功能成像序列更能显示病灶细节.影像组学作为新兴领域,可通过量化肿瘤表型变异起到补充甚至取代肿瘤活检的作用.本综述回顾影像组学与肝癌TACE后疗效预测相关研究,评估MRI影像组学是否可作为肝癌TACE后疗效的有效且可重复的预测方法.
Abstract
Hepatocellular carcinoma(HCC)is the fifth most common malignant tumor in the world and it is characterized by clinically insidious onset and high mortality rate.As a preferred treatment method for patients with moderate and advanced HCC,transcatheter arterial chemoembolization(TACE)has many advantages such as reducing tumor load and relieving patient pain,but the selection of the patients who may get benefits from TACE treatment remains a challenging issue.Therefore,it is essential to predict the efficacy of TACE.At present,various methods including clinical laboratory testing,imaging method,genetic-molecular method,etc.have been used to predict the therapeutic efficacy of TACE.Imaging prediction has the advantages of high visualization and strong interpretability,and MRI functional imaging sequence can better demonstrate the details of the lesion.Radiomics,as an emerging imaging field,can complement or even replace tumor biopsy by quantifying the tumor phenotypic variation.This paper aims to make a review concerning the correlation between the imaging radiomics and the prediction of TACE efficacy in patients with HCC,and to discuss whether MRI imaging radiomics can be used as a valid and reproducible method for predicting TACE efficacy for HCC.(J Intervent Radiol,2024,32:90-94)
关键词
肝癌/经导管动脉化疗栓塞术/影像组学/疗效预测Key words
hepatocellular carcinoma/transcatheter arterial chemoembolization/radiomics/prediction of efficacy引用本文复制引用
基金项目
国家自然科学基金(82072032)
浙江省医药卫生科技计划项目(2023KY598)
出版年
2024
NETL
NSTL
万方数据