Ultrasound-based radiomic nomogram for predicting the invasive status of breast cancer: a multicenter study
Radiomic features significantly enhanced radiologists' diagnostic accuracy in distinguishing non-IBC from IBC. The combined CUS-clinical-radiomics model showed robust performance in predicting invasive status of breast cancer, highlighting its potential for clinical translation.
Authors
- JianXing Zhang
- Yusheng Den
- Dan Yan (ORCID: https://orcid.org/0000-0002-4336-9153)
- Wenjun Cheng (ORCID: https://orcid.org/0000-0003-3101-8476)
- Jingwen Xie (ORCID: https://orcid.org/0000-0002-5594-8283)
- Xue Wen (ORCID: https://orcid.org/0000-0001-9190-2752)
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1186/s40001-025-02828-5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangzhou Municipal Science and Technology Bureau