Predicting sentinel lymph node metastasis in breast cancer: a study based on the SEER database
Our study successfully established an SLNM nomogram that provides richer predictive information. The model exhibits good clinical efficacy and serves as a reference value for populations potentially exempt from SLNB.
Authors
- Zhaofeng Gao (ORCID: https://orcid.org/0000-0002-6960-465X)
- Baoshi Bao (ORCID: https://orcid.org/0000-0002-7263-4120)
- Shiqi Guo (ORCID: https://orcid.org/0000-0002-9287-4041)
- Siyi Chen (ORCID: https://orcid.org/0000-0002-0153-6152)
- Qingyang Li (ORCID: https://orcid.org/0000-0002-0474-3579)
- Yujiao Xie (ORCID: https://orcid.org/0000-0002-6765-3140)
- Hu Xu (ORCID: https://orcid.org/0000-0002-5901-2976)
- Jiahong Sun (ORCID: https://orcid.org/0000-0002-3652-9024)
- Jiandong Wang
- Li Zhu
Institutions
- Nankai University (CN)
- Chinese PLA General Hospital (CN)
Publication Details
- Journal
- Clinical and Experimental Medicine
- Published
- 2025-03-13
- DOI
- https://doi.org/10.1007/s10238-025-01591-5
- Citations
- 3
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.81
Funders
- National Natural Science Foundation of China