MRI radiomics and nutritional-inflammatory biomarkers: a powerful combination for predicting progression-free survival in cervical cancer patients undergoing concurrent chemoradiotherapy
The integrated model combining clinical features, nutritional-inflammatory biomarkers, and radiomics offers a robust tool for predicting PFS in CC patients undergoing CCRT. The nomogram provides precise predictions, supporting its application in personalized patient management.
Authors
- Baojun Qu (ORCID: https://orcid.org/0000-0001-8246-9061)
- Jing Zhang (ORCID: https://orcid.org/0000-0002-2488-5021)
- Yanping Zhang (ORCID: https://orcid.org/0000-0002-5678-3038)
- Yan Xia (ORCID: https://orcid.org/0000-0003-4509-0137)
- Qi Yan (ORCID: https://orcid.org/0000-0001-5936-8027)
- 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
- Cancer Imaging
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1186/s40644-024-00789-2
- Citations
- 5
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.41