Radiomics models to predict axillary lymph node metastasis in breast cancer and analysis of the biological significance of radiomic features
MRI-based radiomics has the potential to predict the ALNM status in patients with invasive breast cancer. Additionally, radiogenomic analysis demonstrated a correlation between radiomic features and the immune microenvironment.
Authors
- Minping Hong
- Haohuan Li (ORCID: https://orcid.org/0000-0003-3215-5181)
- Zhendong Lu (ORCID: https://orcid.org/0009-0001-3147-4626)
- Xinhua Li (ORCID: https://orcid.org/0000-0001-5072-3686)
- Hongfa Xu
- Lifu Lin
Institutions
- Zhejiang Chinese Medical University (CN)
- Guangdong Medical College (CN)
- Affiliated Hospital of Guangdong Medical College Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-06-19
- DOI
- https://doi.org/10.3389/fonc.2025.1546229
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province