Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer
The clinical-radiomics nomogram constructed using the SVM classifier exhibited robust predictive performance for microsatellite instability-high status in endometrial cancer. This nomogram may assist in identifying patients with endometrial cancer who are likely to benefit from immunotherapy, thereby providing a tool for personalized immune management.
Authors
- Yongbin Cui
- Yong Yin (ORCID: https://orcid.org/0000-0003-1090-4313)
- Yi Su
- Zhenjiang Li
- Zhuang Li (ORCID: https://orcid.org/0000-0001-5039-8617)
Institutions
- Qingdao University (CN)
- Shandong Normal University (CN)
- Yuhuangding Hospital (CN)
- Shandong Tumor Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Precision Radiation Oncology
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/pro6.70000
- Citations
- 11
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 14.96
Funders
- National Natural Science Foundation of China