Multiparametric MRI-based longitudinal-radiomics analysis for early prediction of treatment response of breast cancers to neoadjuvant chemotherapy
In summary, our research results exhibit good predictive power for RCB assessment. In the future, they will assist clinicians in guiding individualized treatment plans for breast cancer patients undergoing NAC.
Authors
- Yuhong Huang (ORCID: https://orcid.org/0000-0002-1711-8393)
- Taomei Zhu (ORCID: https://orcid.org/0000-0003-3036-3446)
- Kun Wang (ORCID: https://orcid.org/0000-0001-9851-7080)
- Guolin Ye (ORCID: https://orcid.org/0000-0003-4709-641X)
- Wei Li (ORCID: https://orcid.org/0000-0003-3526-1799)
Institutions
- First People's Hospital of Foshan (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Applied Radiation and Isotopes
- Published
- 2025-10-26
- DOI
- https://doi.org/10.1016/j.apradiso.2025.112278
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00