Predicting relative efficacy of anthracyclines and taxanes in breast cancer neoadjuvant AC-T chemotherapy using longitudinal MRI radiomic model
The hybrid model is a reliable and reproducible tool for predicting the relative efficacy between AC and T treatments in breast cancer NAC. The model could help to stratify patients for personalized adjustment of NAC regimens.
Authors
- Yuxia Tang (ORCID: https://orcid.org/0000-0002-0040-6145)
- Fei‐Yun Wu (ORCID: https://orcid.org/0000-0002-0343-0458)
- Kai-Wen Liu (ORCID: https://orcid.org/0009-0002-3093-1853)
- Ran Zheng (ORCID: https://orcid.org/0000-0002-4677-6424)
- Shouju Wang (ORCID: https://orcid.org/0000-0001-9213-6818)
- Jiulou Zhang (ORCID: https://orcid.org/0000-0001-5310-870X)
- Siqi Wang (ORCID: https://orcid.org/0000-0002-5514-6336)
- Yingying Jin
- Xiaoming Zha
- Jue Wang (ORCID: https://orcid.org/0009-0003-6234-8627)
Institutions
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3389/fonc.2025.1544833
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Pharmaceutical University
- Government of Jiangsu Province