Intratumoral and peritumoral multiparametric MRI-based radiomics nomogram for preoperative risk stratification in patients with endometrial cancer
The developed MRI radiomics nomogram achieved high diagnostic performance in classifying low- and non-low-risk EC preoperatively. This tool could provide valuable support for therapeutic decision-making and demonstrates robustness across various field strength data, increasing its potential for widespread clinical application.
Authors
- Jianrong Lu (ORCID: https://orcid.org/0000-0002-4969-6040)
- Tingting Zhao (ORCID: https://orcid.org/0000-0002-5848-6061)
- Bin Yan (ORCID: https://orcid.org/0000-0003-3075-923X)
- Ying Deng (ORCID: https://orcid.org/0000-0003-2211-0529)
- Guoqing Wang (ORCID: https://orcid.org/0000-0002-8601-1231)
Institutions
- Shanxi Medical University (CN)
- Shaanxi Provincial People's Hospital (CN)
- Jilin Province Tumor Hospital (CN)
- Shanxi Provincial Cancer Hospital (CN)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Shanxi Provincial People’s Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-08-26
- DOI
- https://doi.org/10.3389/fonc.2025.1572784
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shaanxi Provincial Science and Technology Department