Explainable machine learning model for predicting internal mammary node metastasis in breast cancer: Multi-method development and cross-cohort validation
This validated and explainable machine learning model offers a practical tool for early risk stratification, aiding clinicians in appropriate baseline imaging selection and adjuvant treatment planning.
Authors
- Changkuo Guo
- Yirong Xiang (ORCID: https://orcid.org/0000-0001-6887-5610)
- Siyuan Zhang (ORCID: https://orcid.org/0000-0003-2117-7465)
- Zhaoqing Fan (ORCID: https://orcid.org/0000-0003-2968-1703)
- Chen Shi (ORCID: https://orcid.org/0000-0003-1331-3471)
- Jian Tie (ORCID: https://orcid.org/0000-0002-1136-1536)
- Weihu Wang (ORCID: https://orcid.org/0000-0003-4969-398X)
- Yushuo Peng
Institutions
- Peking University (CN)
- Peking University Cancer Hospital (CN)
- Ministry of Education (ET)
Publication Details
- Journal
- The Breast
- Published
- 2025-06-09
- DOI
- https://doi.org/10.1016/j.breast.2025.104517
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.44
Funders
- Beijing Hospital Authority