基于磁共振图像的乳腺癌分子分型研究进展  

Progress on MRI-Based Molecular Subtyping of Breast Cancer

作　　者：孙榕 聂生东[1,2] 魏珑 Sun Rong;Nie Shengdong;Wei Long(School of Medical Instrument and Food Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Chinese Society of Biomedical Engineering;School of Computer Science and Technology,Shandong Jianzhu University,Jinan 250101,China)

机构地区：[1]上海理工大学医疗器械与食品学院医学影像技术研究所,上海200093 [2]中国生物医学工程学会 [3]山东建筑大学计算机科学与技术学院,济南250101

出　　处：《中国生物医学工程学报》2021年第4期493-502,共10页Chinese Journal of Biomedical Engineering

基　　金：国家自然科学基金(81830052);上海市科技创新行动计划项目(18441900500)。

摘　　要：在基因表达水平上,乳腺癌分子亚型的分析对评价乳腺癌的恶性程度及制定个体化治疗方案具有重要的临床应用价值。除免疫组织化学染色和基因芯片技术外,影像组学的兴起也为乳腺癌分子分型提供新的预测方式。综述基于磁共振成像的乳腺癌分子分型的研究现状。在概述乳腺磁共振成像原理和特点的基础上,分别从统计学分析及机器学习方法的角度,阐述乳腺癌的磁共振影像学表现与各分子亚型之间的关联性研究成果及预测算法,最后对乳腺癌分子分型研究做出总结并对未来的研究进行展望。基于磁共振成像(MRI)的乳腺癌分子分型的研究已取得了一些实质性进展,未来可借助更高阶的算法进一步深入挖掘乳腺癌MRI的形态学、背景实质增强、统计量及纹理等成像特征,使影像学特征作为潜在生物标记物,为乳腺癌的精准医疗提供帮助。At the level of gene expression,molecular subtyping of breast cancers has important clinical practical value in the application of evaluating the malignant degree of breast cancers and formulating individualized therapeutic programs.In addition to microarray and immunohistochemical(IHC)staining,a new molecular classification method of breast cancers has been provided by radiomics.Herein,the domestic and international developments about magnetic resonance imaging(MRI)-based molecular identification of breast cancers were summarized in this paper.After introducing the principles and characteristics of breast MRI,we reviewed the associated study achievements between molecular subtype information and breast MRI features from the aspect of statistics.Moreover,we highlighted the various prediction algorithms for breast cancer molecular identification from the perspective of machine learning.Finally,the development prospect and existing problems of the technology were pointed out.With aid of higher-order algorithms,it is advisable to further explore MRI imaging features of breast cancers as potential markers,such as morphology,background parenchymal enhancement and statistical texture,dedicating to precision diagnosis and treatment of breast cancers in future.

关 键 词：乳腺癌 磁共振成像(MRI) 分子分型 影像组学 

分 类 号：R318[医药卫生—生物医学工程]