磁共振成像2025，Vol.16Issue(3)：205-210,6.DOI:10.12015/issn.1674-8034.2025.03.035
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
罗曦 1廖福顺 2黄肖雅 1文灿平 1彭守用 1吴子晨 3尧红艳 3王俊1
作者信息
- 1. 赣南医科大学第一临床医学院,赣州 341000||赣南医科大学第一附属医院医学影像科,赣州 341000
- 2. 赣南医科大学第一临床医学院,赣州 341000||赣南医科大学第一附属医院超声科,赣州 341000
- 3. 赣南医科大学第一临床医学院,赣州 341000
- 折叠
摘要
Abstract
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Key words
hepatocellular carcinoma/microvascular invasion/radiomics/artificial intelligence/computed tomography/magnetic resonance imaging/ultrasound/positron emission tomography分类
临床医学引用本文复制引用
罗曦,廖福顺,黄肖雅,文灿平,彭守用,吴子晨,尧红艳,王俊..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[J].磁共振成像,2025,16(3):205-210,6.
