Differentiating triple-negative breast cancer and atypical fibroadenomas using an ultrasound-based radiomics nomogram
This study systematically analysed the ability of ultrasound radiomics to differentiate TNBC from AFA and the ultrasound-based radiomics nomogram effectively improved the diagnostic accuracy of TNBC.
Authors
- Dongmo Wang (ORCID: https://orcid.org/0000-0002-5210-1685)
- Z X Ran (ORCID: https://orcid.org/0009-0001-3014-641X)
- Kai Zhu (ORCID: https://orcid.org/0000-0002-4096-7975)
- Wen Wan (ORCID: https://orcid.org/0000-0002-2889-8460)
- Xinyu Zhu (ORCID: https://orcid.org/0000-0002-1805-7203)
Institutions
- Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
- First Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s12880-025-01963-z
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Harbin Medical University
- Second Affiliated Hospital of Harbin Medical University