Individualized prediction of non-sentinel lymph node metastasis in Chinese breast cancer patients with ≥ 3 positive sentinel lymph nodes based on machine-learning algorithms
The developed RF model accurately predicts non-SLN metastasis in BC patients with ≥ 3 positive SLNs, suggesting that ALND might be avoided in selected patients by applying additional axillary radiotherapy. This approach could reduce the incidence of postoperative complications and improve patient quality of life. Further validation in prospective clinical trials is warranted.
Authors
- Qunchen Zhang (ORCID: https://orcid.org/0000-0001-8976-4071)
- Huancheng Zeng (ORCID: https://orcid.org/0000-0002-1821-4168)
- Chunfa Chen (ORCID: https://orcid.org/0000-0002-1128-485X)
- Lifang He (ORCID: https://orcid.org/0000-0002-5794-2694)
- Jundong Wu (ORCID: https://orcid.org/0000-0003-0607-8960)
- Yutong Fang
- Zexiao Chen
- Guangsheng Huang (ORCID: https://orcid.org/0000-0002-9909-9973)
- Bingfeng Chen
- Xiangli Xie
- Cuiping Guo
Institutions
- Shantou University (CN)
- Cancer Hospital of Shantou University Medical College (CN)
- Jiangmen Central Hospital (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-09-02
- DOI
- https://doi.org/10.1186/s12885-024-12870-x
- Citations
- 4
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.14