MRI subregional analysis of spatial heterogeneity across residual cancer burden levels in breast cancer
MRI radiomic subregional analysis captures spatial heterogeneity linked to NAC response. GATA3 serves as a radiogenomic biomarker linking imaging phenotypes to transcriptomic programs. Integrating imaging, genomic, and environmental data may refine personalized response prediction.
Authors
- Jie Ma (ORCID: https://orcid.org/0000-0003-0451-7923)
- Tingfeng Zhang (ORCID: https://orcid.org/0000-0002-7795-2144)
- Yi Qin (ORCID: https://orcid.org/0000-0001-9804-202X)
- Chengwen Luo (ORCID: https://orcid.org/0000-0002-9544-9921)
- Jinhua Wang (ORCID: https://orcid.org/0000-0001-5124-4230)
- Lin Li (ORCID: https://orcid.org/0000-0002-3597-3350)
- Hong Hu (ORCID: https://orcid.org/0000-0003-3497-0454)
Institutions
- Jinan University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Southern University of Science and Technology (CN)
- Southern Medical University Shenzhen Hospital (CN)
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- Applied Radiation and Isotopes
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1016/j.apradiso.2025.112359
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00