Construction and evaluation of a prognostic model for cervical cancer based on dynamic hematological and clinical features
We developed and validated nomograms to predict OS in cervical cancer patients staged IB1 to IVA who underwent radical radiotherapy RT. The prognostic significance of dynamic changes in blood and inflammatory markers has been confirmed. The proposed nomogram exhibits robust predictive capabilities for estimating OS in these patients, facilitating risk stratification and individualized treatment.
Authors
- Zhiyuan Xu (ORCID: https://orcid.org/0000-0002-7929-9134)
- Huangrong Ma
- Yue Li (ORCID: https://orcid.org/0000-0002-7727-905X)
- Yifu Wang (ORCID: https://orcid.org/0000-0001-5937-2261)
- Miaoying Cai
- Lingyu Ma
- Chunyu Liang
- Yang Li (ORCID: https://orcid.org/0000-0002-0112-1328)
Institutions
- Shenzhen University (CN)
- University of Hong Kong - Shenzhen Hospital (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1186/s12885-025-13595-1
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Shenzhen University
- Sanming Project of Medicine in Shenzhen
- Shenzhen Science and Technology Innovation Program