DCE-MRI radiomics of primary breast lesions combined with ipsilateral axillary lymph nodes for predicting efficacy of NAT
Radiomic features from axillary SLNs offer valuable supplementary information for predicting NAT response in BC patients. The proposed nomogram, incorporating radiomics and clinical factors, provides a robust tool for individualized treatment planning.
Authors
- Yang Hou (ORCID: https://orcid.org/0000-0002-9184-5441)
- Chunxiao Cui (ORCID: https://orcid.org/0000-0001-9675-9756)
- Ying Fan (ORCID: https://orcid.org/0000-0002-5510-7484)
- Chunna Yang
- Yan Wang (ORCID: https://orcid.org/0000-0002-4006-5859)
- Yiyao Sun
- Qin-ping Liao (ORCID: https://orcid.org/0000-0003-3399-1819)
- Dan Zhao (ORCID: https://orcid.org/0000-0003-4320-1366)
Institutions
- Qingdao University (CN)
- Fudan University (CN)
- Affiliated Hospital of Qingdao University (CN)
- China Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1186/s12885-025-14004-3
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36