Ultrasound-based radiomics model for predicting axillary lymph node metastasis of breast cancer
This study developed a predictive model for ALNM based on ultrasound images of ALNs and their peripheral extended regions. The results demonstrated that the combined model incorporating both the lymph node and a 1-mm peripheral extension yielded the best predictive performance. Furthermore, a comprehensive integrated model was established by incorporating clinical and pathological characteristics, which effectively enhanced the prediction of ALNM.
Authors
- Wan‐Ling Liu (ORCID: https://orcid.org/0000-0003-1656-3396)
- Yu Bi
- Rubing Li (ORCID: https://orcid.org/0009-0004-0749-2842)
- Peng Mei (ORCID: https://orcid.org/0000-0002-8932-3847)
- Yunyun Zhan
Institutions
- Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1186/s12880-025-01978-6
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72