影像组学与人工智能术前预测肝细胞癌微血管侵犯的研究进展  

Research progress on radiomics and artificial intelligence for preoperative prediction of microvascular invasion in hepatocellular carcinoma

作　　者：罗曦 廖福顺 黄肖雅 文灿平 彭守用 吴子晨 尧红艳 王俊 LUO Xi;LIAO Fushun;HUANG Xiaoya;WEN Canping;PENG Shouyong;WU Zichen;YAO Hongyan;WANG Jun(The First Clinical Medical School of Gannan Medical University,Ganzhou 341000,China;Department of Medical Imaging,The First Affiliated Hospital of Gannan Medical University,Ganzhou 341000,China;Department of Ultrasound,The First Affiliated Hospital of Gannan Medical University,Ganzhou 341000,China)

机构地区：[1]赣南医科大学第一临床医学院,赣州341000 [2]赣南医科大学第一附属医院医学影像科,赣州341000 [3]赣南医科大学第一附属医院超声科,赣州341000

出　　处：《磁共振成像》2025年第3期205-210,共6页Chinese Journal of Magnetic Resonance Imaging

摘　　要：肝细胞癌(hepatocellular carcinoma,HCC)是消化系统中常见的恶性肿瘤之一,致死率较高且预后较差。微血管侵犯(microvascular invasion,MVI)通常指在显微镜下观察到癌细胞团块侵入由内皮细胞衬覆的血管腔内。MVI是HCC患者预后的重要预后影响因素,因此术前无创且高效地预测MVI具有重要的临床价值。随着人工智能技术的迅速发展,人工智能联合临床及传统影像学构建综合MVI预测模型可为HCC患者精确评估风险并帮助医生制订个体化的治疗方案。本文主要从计算机断层扫描(computed tomography,CT)、磁共振成像(magnetic resonance imaging,MRI)、超声(ultrasound,US)及正电子发射体层成像(positron emission tomography,PET)四个方面对影像组学与人工智能术前预测HCC MVI的研究进展作一综述,旨在引起读者对HCC尤其是早期HCC的认识及重视,为影像医师和临床医生对HCC患者的准确评估、治疗决策以及预后判断提供有益指导,也为研究者提供更全面的比较视角,以帮助更多患者从临床诊疗中受益。Hepatocellular carcinoma(HCC) is one of the most common malignant tumors of the digestive system,characterized by a high mortality rate and poor prognosis.Microvascular invasion(MVI) typically refers to the observation of cancer cell clusters invading the lumen of blood vessels lined by endothelial cells under a microscope.MVI is a significant prognostic factor for HCC patients;therefore,it is crucial to predict MVI preoperatively in a non-invasive and efficient manner,as it holds important clinical value.With the rapid development of artificial intelligence technology,the integration of artificial intelligence with clinical and traditional imaging to construct comprehensive MVI prediction models can allow for precise risk assessment in HCC patients and assist physicians in formulating individualized treatment plans.This article primarily reviews the research progress on radiomics and artificial intelligence in the preoperative prediction of MVI in HCC from four aspects:computed tomography(CT),magnetic resonance imaging(MRI),ultrasound(US),and positron emission tomography(PET).The aim is to raise the reader's awareness and understanding of HCC,particularly early-stage HCC,and to provide valuable guidance for radiologists and clinicians in accurately assessing,making treatment decisions,and prognostic evaluations for HCC patients.Furthermore,it seeks to offer researchers a more comprehensive comparative perspective to help more patients benefit from clinical diagnosis and treatment.

关 键 词：肝细胞癌 微血管侵犯 影像组学 人工智能 计算机断层扫描 磁共振成像 超声 正电子发射体层成像 

分 类 号：R445.2[医药卫生—影像医学与核医学] R735.7[医药卫生—诊断学]