Advances in radiomics and artificial intelligence for screening and predicting BRCA1/2-related hereditary breast cancer
10.13929/j.issn.1003-3289.2025.10.034
- VernacularTitle:基于影像组学与人工智能筛查与预测BRCA1/2相关遗传性乳腺癌进展
- Author:
Nan WU
1
;
Lijuan LI
;
Lijuan WEI
;
Fangxuan LI
;
Menghui LI
;
Zhaoxiang YE
Author Information
1. 天津医科大学肿瘤医院健康管理中心,国家恶性肿瘤临床医学研究中心,天津市恶性肿瘤临床医学研究中心,乳腺癌防治教育部重点实验室,天津市肿瘤防治重点实验室,天津 300060
- Publication Type:Journal Article
- Keywords:
hereditary breast and ovarian cancer syndrome;
artificial intelligence;
radiomics
- From:
Chinese Journal of Medical Imaging Technology
2025;41(10):1763-1767
- CountryChina
- Language:Chinese
-
Abstract:
Hereditary breast cancer(HBC)is one of the important subtypes of breast cancer(BC),primarily characterized by mutations in the BRCA1/2 genes.Accurate identification of BRCA1/2 mutation carriers remains a significant clinical challenge.Traditional genetic testing methods for BRCA1/2 mutations are often expensive and complex.In recent years,advancements in radiomics and artificial intelligence(AI)have opened new avenues for non-invasive prediction of BRCA1/2 mutations.This review summarized the current research progresses in utilizing radiomics and AI for screening and predicting of BRCA1/2-related HBC.
