Options for postoperative radiation therapy in patients with de novo metastatic breast cancer
This study is the first to propose a risk stratification strategy for postoperative RT in dnMBC, and innovatively integrates machine learning and clinical tools to provide a new paradigm for optimizing precision therapy.
Authors
- Chong Du (ORCID: https://orcid.org/0000-0002-2105-3078)
- Binbin Fang (ORCID: https://orcid.org/0000-0002-9072-5106)
- Jingkun Qu (ORCID: https://orcid.org/0000-0002-5064-2832)
- Mengjie Liu (ORCID: https://orcid.org/0000-0002-3932-3363)
- Shuqun Zhang (ORCID: https://orcid.org/0000-0003-2959-6461)
- Yusheng Wang (ORCID: https://orcid.org/0000-0002-8168-6395)
- Chaofan Li (ORCID: https://orcid.org/0000-0002-5426-1498)
- Shiyu Sun (ORCID: https://orcid.org/0000-0002-4036-8921)
Institutions
- Second Affiliated Hospital of Xi'an Jiaotong University (CN)
Publication Details
- Journal
- The Breast
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1016/j.breast.2025.104483
- Citations
- 3
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.81