基于磁共振图像的乳腺癌分子分型研究进展

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...

Progress on MRI-Based Molecular Subtyping of Breast Cancer

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 aboutmagnetic 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.