基于磁共振图像的乳腺癌分子分型研究进展

doi:10.3969/j.issn.0258-8021.2021.04.014

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Abstract 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.

Key words： breast cancers magnetic resonance imaging(MRI) molecular typing radiomics

Received: 22 June 2020

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R318

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	Articles by authors
	Sun Rong
	Nie Shengdong
	Wei Long

Cite this article:

Sun Rong,Nie Shengdong,Wei Long. Progress on MRI-Based Molecular Subtyping of Breast Cancer[J]. Chinese Journal of Biomedical Engineering, 2021, 40(4): 493-502.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2021.04.014 OR http://cjbme.csbme.org/EN/Y2021/V40/I4/493

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