Intratumoral and peritumoral ultrasound-based radiomics for preoperative prediction of HER2-low breast cancer: a multicenter retrospective study
Determination of HER2 status can affect treatment options for breast cancer. The ultrasound-based clinical-radiomics model can discriminate the three different HER2 statuses. Our developed model can assist in providing personalized recommendations for novel HER2-targeted therapies.
Authors
- Zijian Huang (ORCID: https://orcid.org/0000-0002-8466-3885)
- Zuwei Liao (ORCID: https://orcid.org/0000-0001-9063-1049)
- Chunwang Huang (ORCID: https://orcid.org/0000-0003-2152-5298)
- Xiaobo Chen (ORCID: https://orcid.org/0000-0001-8755-6199)
- Lijie Zhang (ORCID: https://orcid.org/0000-0002-6296-2219)
- Na Hu (ORCID: https://orcid.org/0000-0001-6362-0969)
- Xiaoya Zhou
- Mengxia Yao (ORCID: https://orcid.org/0009-0008-2191-879X)
- Siwei Luo (ORCID: https://orcid.org/0009-0007-8120-7343)
- Yuanlin Ying
Institutions
- Sun Yat-sen University (CN)
- Guangzhou University (CN)
- Ganzhou People's Hospital (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Key Laboratory of Guangdong Province (CN)
- First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1186/s13244-025-01934-6
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80
Funders
- Guangzhou Municipal Science and Technology Project