Prediction of <scp>HER2</scp> ‐Low Breast Cancer via Multimodal Ultrasound Imaging
A model integrating multimodal ultrasound and clinicopathological factors effectively predicts HER2-low breast cancer, offering valuable imaging-based support for clinical decision-making.
Authors
- Xiaoping Leng (ORCID: https://orcid.org/0000-0001-8883-8884)
- Dandan Liu (ORCID: https://orcid.org/0000-0003-2506-7845)
- Baoliang Guo (ORCID: https://orcid.org/0000-0002-4022-6739)
- Chengzhi Zhang (ORCID: https://orcid.org/0000-0002-7367-0334)
- Xin Ai (ORCID: https://orcid.org/0009-0008-7082-2049)
- Fanwei Dai
- Tong Wu (ORCID: https://orcid.org/0009-0004-8839-8902)
- Longbin Dai
Institutions
- Fujian Medical University (CN)
- Harbin Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1002/cam4.71156
- Primary Topic
- HER2/EGFR in Cancer Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China