Delta-radiomics analysis based on magnetic resonance imaging to identify radiation proctitis in patients with cervical cancer after radiotherapy
The MRI-based delta radiomics model shows significant promise in predicting RP severity in cervical cancer patients following radiotherapy, with enhanced predictive performance when combined with clinical features.
Authors
- Baojun Qu (ORCID: https://orcid.org/0000-0001-8246-9061)
- Jing Zhang (ORCID: https://orcid.org/0000-0001-9617-9305)
- Yan Xia (ORCID: https://orcid.org/0000-0002-4539-298X)
- Yanping Zhang (ORCID: https://orcid.org/0000-0002-5678-3038)
- Jing Xue (ORCID: https://orcid.org/0000-0001-5902-8444)
- Jianbo Song (ORCID: https://orcid.org/0000-0002-6715-9986)
- Jiayang Yang
- Menghan Wu
- Guannan Lv
Institutions
- Shanxi Medical University (CN)
- Xian Yang Central Hospital (CN)
- National Institute for Radiological Protection (CN)
- Shanxi Academy of Medical Sciences (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-01-29
- DOI
- https://doi.org/10.3389/fonc.2025.1523567
- Citations
- 6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 8.16