Dynamic contrast-enhanced MRI-based radiomics model of intra-tumoral kinetic heterogeneity for predicting breast cancer molecular subtypes.
Radiomics analysis of washout areas from high-resolution DCE-MRI breast scans has the potential to better identify molecular subtypes of breast cancer non-invasively.
Authors
- Zhongyuan Bao
- Shaofeng Duan (ORCID: https://orcid.org/0000-0001-9413-7574)
- Yu Xu (ORCID: https://orcid.org/0000-0001-7751-6345)
- Jing Zhang (ORCID: https://orcid.org/0000-0001-8861-7336)
- Y. C. Cheng (ORCID: https://orcid.org/0009-0006-8009-5602)
- Ran Ren
Institutions
- United Imaging Healthcare (China) (CN)
- Bayer (China) (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3389/fmolb.2025.1635296
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Natural Science Foundation of Jiangsu Province
- Wuxi Municipal Bureau on Science and Technology