Using baseline MRI radiomics to predict the tumor shrinkage patterns in HR-Positive, HER2-Negative Breast Cancer
Radiomics features based on baseline MRI significantly enhance the prediction of tumor shrinkage patterns in HR+/HER2- breast cancer patients. This approach aids in the early identification of patients likely to benefit from breast-conserving surgery and facilitates timely treatment adjustments.
Authors
- Jialiang Ren (ORCID: https://orcid.org/0000-0001-5616-7035)
- Yifan Zhai (ORCID: https://orcid.org/0000-0003-1672-2262)
- Yangfang Li (ORCID: https://orcid.org/0000-0002-5346-3741)
- Lijia Wang (ORCID: https://orcid.org/0000-0002-8175-7720)
- Yongchen Wang (ORCID: https://orcid.org/0000-0003-1814-9615)
- Tao Zhou (ORCID: https://orcid.org/0000-0001-5486-4355)
- Qian Xu
Institutions
- Hebei Medical University (CN)
- General Electric (Spain) (ES)
- Fourth Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-07-30
- DOI
- https://doi.org/10.3389/fonc.2025.1539644
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36