摘要
肝细胞癌(hepatocellular carcinoma, HCC)是目前全球癌症死亡的第三大原因,对人类健康构成重大威胁,对HCC的早期诊断以及预后预测成为当前研究的热点。近年来,随着计算机技术的发展,人工智能(artificial intelligence, AI)在HCC的精确诊断、疗效评估及风险预测等方面展现出巨大潜力。本文将从AI技术在HCC MRI的图像分割、辅助诊断、预后预测以及病理分级和分子特征等方面进行总结,为科研工作提供新的思路及方法,促进临床诊疗工作朝着精准化、个体化方向发展。
Hepatocellular carcinoma(HCC)is currently the third leading cause of cancer death worldwide,which poses a major threat to human health.Early diagnosis and prognosis prediction of HCC have become the current research hotspots.In recent years,with the development of computer technology,artificial intelligence has shown great potential in the accurate diagnosis,efficacy evaluation and risk prediction of hepatocellular carcinoma.This article will summarize the MRI image segmentation,auxiliary diagnosis,prognosis prediction,pathological grading and molecular characteristics of HCC,so as to provide new ideas and methods for scientific research and promote the development of clinical diagnosis and treatment towards precision and individualization.
作者
高子涵
罗与
吴亚平
白岩
王梅云
GAO Zihan;LUO Yu;WU Yaping;BAI Yan;WANG Meiyun(Department of Medical Imaging,Zhengzhou University People's Hospital,Zhengzhou 450003,China;Department of Medical Imaging,Henan Provincial People's Hospital,Zhengzhou 450003,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2023年第8期154-157,196,共5页
Chinese Journal of Magnetic Resonance Imaging
基金
河南省医学科技攻关计划项目(编号:SBGJ202101002)。
关键词
肝细胞癌
人工智能
磁共振成像
深度学习
影像组学
图像分割
hepatocellular carcinoma
artificial intelligence
magnetic resonance imaging
deep learning
radiomics
image segmentation