Malignancy risk stratification prediction of BI-RADS 4B calcifications based on contrast-enhanced mammographic features: a multicenter study
On CEM, the presence of enhancement and morphology were identified as independent predictors of malignant calcifications of BI-RADS 4B. The predictive model demonstrated favorable performance.
Authors
- Rong Long
- Ning Mao (ORCID: https://orcid.org/0000-0001-7097-5530)
- Xiaoting Li (ORCID: https://orcid.org/0000-0002-8956-9177)
- Yingshi Sun
- Kun Cao (ORCID: https://orcid.org/0000-0002-0685-300X)
- Min Cao (ORCID: https://orcid.org/0000-0002-0909-8871)
- Guang Yang (ORCID: https://orcid.org/0000-0002-8379-7478)
- Yao Luo (ORCID: https://orcid.org/0000-0002-4542-3504)
Institutions
- Qingdao University (CN)
- Hebei Medical University (CN)
- Peking University (CN)
- Yuhuangding Hospital (CN)
- Peking University Cancer Hospital (CN)
- Fourth Hospital of Hebei Medical University (CN)
- Affiliated Hospital of Qingdao University (CN)
- Ministry of Education (ET)
Publication Details
- Journal
- Breast Cancer Research and Treatment
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1007/s10549-024-07546-w
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- National Key Research and Development Program of China