Prediction of lymphovascular invasion in invasive breast cancer based on clinical-MRI radiomics features
In IBC, MRI radiomics can serve as a noninvasive predictor of LVI. The clinical-MRI radiomics model, as an efficient visual prognostic tool, shows promise in forecasting LVI. This highlights the significant potential of pre-radiomics prediction in enhancing treatment strategies.
Authors
- Peng Zhou (ORCID: https://orcid.org/0000-0002-1281-6088)
- Ruobing Li (ORCID: https://orcid.org/0000-0002-6526-6497)
- Aimei Ouyang (ORCID: https://orcid.org/0000-0002-2318-8654)
- Chunling Zhang (ORCID: https://orcid.org/0000-0001-6983-7050)
- Zhongyuan Li (ORCID: https://orcid.org/0000-0003-0251-7073)
Institutions
- Jinan Central Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1186/s12880-024-01456-5
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.02