Construction and validation of a novel nomogram for prediction of lymph node metastasis in HER2-positive breast cancer: based on the optimal number of examined lymph nodes for accurate nodal staging
This study developed a novel nomogram that integrates the optimal number of ELNs with other independent risk factors, facilitating individualized prediction of lymph node metastasis in patients with HER2-positive breast cancer.
Authors
- Chu-Yun Liu
- Yu-Shen Yang (ORCID: https://orcid.org/0000-0003-0310-3999)
- Hongyi He (ORCID: https://orcid.org/0000-0002-5883-5399)
- Zhendong Sun (ORCID: https://orcid.org/0000-0002-1020-386X)
- Weidong Fu (ORCID: https://orcid.org/0009-0001-7814-478X)
- Yan Zhang (ORCID: https://orcid.org/0000-0002-9926-3534)
- Meng-Qin Pei
Institutions
- Fujian Medical University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
- Zhuzhou Central Hospital (CN)
Publication Details
- Journal
- BMC Women s Health
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1186/s12905-025-03663-w
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48