Research Progress of Artificial Intelligence-Based Multimodal MRI Evaluation of Breast Cancer Heterogeneity
10.3969/j.issn.1005-5185.2025.02.020
- VernacularTitle:基于人工智能的乳腺癌异质性多模态MRI评价研究进展
- Author:
Chunyan WANG
1
;
Jingyao XU
;
Xiangsheng LI
Author Information
1. 空军军医大学空军特色医学中心医学影像科,北京 100142;中国医科大学研究生院,辽宁 沈阳 110122
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Heteroplasmy;
Multimodal;
Magnetic resonance imaging;
Artificial intelligence;
Review
- From:
Chinese Journal of Medical Imaging
2025;33(2):210-214
- CountryChina
- Language:Chinese
-
Abstract:
Breast cancer is a highly heterogeneous malignant tumor,and different individuals have great differences in pathological manifestations,tissue structure,morphology,texture characteristics and treatment effects.Evaluation of breast cancer heterogeneity is of great significance for the design of individualized treatment plan and the prediction of curative effect.At present,multi-modal MRI can sensitively evaluate the extent,shape,margin,internal enhancement mode,time signal intensity curve,apparent diffusion coefficient value and other information of the lesion,which is expected to effectively predict the heterogeneity of breast cancer.In particular,artificial intelligence has high clinical guiding significance in the evaluation of breast cancer heterogeneous multimodal MRI imaging.The purpose of this paper is to review the research progress of artificial intelligence-based multimodal MRI evaluation of breast cancer heterogeneity,so as to improve the level of individualized diagnosis and treatment of breast cancer.
