Elastography-based AI model can predict axillary status after neoadjuvant chemotherapy in breast cancer with nodal involvement: a prospective, multicenter, diagnostic study
The combination SWE-based DLR model can predict the axillary status after NAC in patients with node-positive breast cancer, and thus, may inform clinical decision-making to help avoid unnecessary axillary LN dissection.
Authors
- Shi-Yang Lin
- Xiao‐Qing Pei
- Fengtao Liu (ORCID: https://orcid.org/0000-0001-7688-1631)
- Yuting Tan (ORCID: https://orcid.org/0009-0002-1949-7937)
- Jiahui Huang (ORCID: https://orcid.org/0000-0002-0389-1721)
- Yiliang Li (ORCID: https://orcid.org/0000-0002-2242-0941)
- Xueyan Wang (ORCID: https://orcid.org/0000-0002-8653-4104)
- Jiaxin Huang (ORCID: https://orcid.org/0000-0002-8399-6258)
- Yao Lu (ORCID: https://orcid.org/0009-0001-3264-0040)
- Yu-Ting Zhang
- Gui-Ling Huang
Institutions
- Sun Yat-sen University (CN)
- Guangzhou University (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1097/js9.0000000000002105
- Citations
- 6
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.71