摘要
肝细胞癌近年来呈高发趋势,在强调"精准医学理念"的今天,需要精确的信息为患者提供高效的个体化诊疗。影像组学因其可以无创获取肿瘤整体异质性信息,对于改善医疗策略的个体化和精准化具有重要意义。本文主要探讨影像组学在肝细胞癌诊疗中的研究进展,包括肝细胞癌的诊断及鉴别诊断、基因表型及分子标记物的预测、疗效监测及预后预测以及基于深度学习应用方面的研究,最后总结出现阶段影像组学技术存在的不足及未来发展方向。
The incidence of hepatocellular carcinoma has been high in recent years.Today,with the emphasis on the concept of "precision medicine",accurate information is needed to provide efficient and individualized diagnosis and treatment for patients.Radiomics is of great significance for improving the individualization and precision of medical strategies because it can obtain the information of the overall heterogeneity of tumor noninvasively.This paper mainly discusses the radiomics research progress in diagnosis and treatment of hepatocellular carcinoma,including the diagnosis and differential diagnosis of hepatocellular carcinoma,prediction of gene phenotypes and molecular markers,efficacy monitoring and prognosis prediction,and based on the research achievements of deep learning applications.The demerits of radiomics technology and its future development direction were also summarized at the end of article.
作者
蒋启红
任勇军
JIANG Qihong;REN Yongjun(Department of Interventional Radiology,Affiliated Hospital of North Sichuan Medical Colloge,Sichuan Provincial Key Laboratory of Medical Imaging,Nanchong 637000,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2021年第12期105-107,111,共4页
Chinese Journal of Magnetic Resonance Imaging
基金
南充市市校合作科研专项基金(编号:19SXHZ0252)
川北医学院附属医院科研发展计划项目(编号:2021ZD015)。
关键词
肝细胞癌
影像组学
体层摄影术
磁共振成像
深度学习
卷积神经网络
hepatocellular carcinoma
radiomics
computed tomography
magnetic resonance imaging
deep learning
convolutional neural network