Incremental Value of Synthetic MRI Radiomics in Predicting Neoadjuvant Response in Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer
Synthetic MRI radiomics accurately predicted pathologic complete response to neoadjuvant therapy in human epidermal growth factor receptor 2–positive breast cancer, outperformed traditional radiomics models, and was associated with immune-related pathways and recurrence-free survival.
Authors
- 孔庆聪
- Yuan Guo (ORCID: https://orcid.org/0000-0001-5115-1624)
- Wenjie Tang (ORCID: https://orcid.org/0000-0002-9752-4948)
- Bingjie Zheng (ORCID: https://orcid.org/0000-0001-5408-7680)
- Shishen Ding
- Yihong Lin
- ZiJin Weng
- Siyi Chen
- Weifeng Liu
- Qianwei Zhou
- Yongxin Chen
- Chen Jin
Institutions
- Hubei University of Medicine (CN)
- Sun Yat-sen University (CN)
- Zhengzhou University (CN)
- Liuzhou General Hospital (CN)
- The First People's Hospital of Shunde (CN)
- Guangzhou First People's Hospital (CN)
- Fourth Affiliated Hospital of Guangxi Medical University (CN)
- Henan Cancer Hospital (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
- Zhejiang University of Technology (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Radiology Imaging Cancer
- Published
- 2026-08-14
- DOI
- https://doi.org/10.1148/rycan.250758
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province