MRI-based radiomics model for predicting tumor regression patterns after neoadjuvant chemotherapy in breast cancer
The integration of imaging biomarkers and clinical profiles enables reliable prediction of tumor response post-NAC, supporting more informed and tailored treatment strategies.
Authors
- Qi Wang (ORCID: https://orcid.org/0000-0001-7155-8878)
- Biyuan Zhang (ORCID: https://orcid.org/0000-0002-4943-3136)
- Haiji Wang
- Tianhui Guo
- Meng Zhang (ORCID: https://orcid.org/0000-0001-6422-2102)
- Wen Gao (ORCID: https://orcid.org/0000-0002-8906-8794)
- Jun Zhang (ORCID: https://orcid.org/0000-0003-1849-9199)
- Lan Wang (ORCID: https://orcid.org/0009-0005-3726-5701)
Institutions
- Qingdao University (CN)
- Fourth People’s Hospital of Jinan (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-11-17
- DOI
- https://doi.org/10.3389/fmed.2025.1661448
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Qingdao University