Exploring the prognostic value of EBV DNA in advanced nasopharyngeal carcinoma treated with chemoradiotherapy using AI-based modeling
High EBV DNA levels were associated with poorer PFS in advanced NPC. Among the models evaluated, the RSF model demonstrated the best predictive performance and interpretability. EBV-informed AI modeling represents a promising approach for enhancing individualized risk prediction and clinical decision-making in NPC.
Authors
- Jie Zhou (ORCID: https://orcid.org/0000-0001-5078-3136)
- Peng Xu (ORCID: https://orcid.org/0000-0002-9830-5915)
- Nan Shang (ORCID: https://orcid.org/0000-0003-0314-2859)
- Jinyi Lang
- Shun Lu (ORCID: https://orcid.org/0000-0002-1333-0987)
- Yang Yang (ORCID: https://orcid.org/0000-0002-2636-8933)
- Xianliang Wang (ORCID: https://orcid.org/0000-0003-3928-9983)
- Yuan Qin (ORCID: https://orcid.org/0000-0001-9204-5828)
- Lintao Li (ORCID: https://orcid.org/0000-0002-1837-8664)
- Yue Su (ORCID: https://orcid.org/0009-0005-9731-9011)
- Fan Li (ORCID: https://orcid.org/0000-0002-1128-7559)
Institutions
- Third People's Hospital of Chengdu (CN)
- Mianyang Institute of Traditional Chinese Medicine (CN)
- Sichuan Cancer Hospital (CN)
- Sichuan Academy of Traditional Chinese Medicine (CN)
- First People's Hospital of Chongqing (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-12
- DOI
- https://doi.org/10.3389/fonc.2025.1650377
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Department of Science and Technology of Sichuan Province