Multimodal MRI-based radiomics model for predicting short-term efficacy in nasopharyngeal carcinoma
The multimodal MRI-based radiomics model represents a transformative non-invasive tool for predicting short-term treatment response in NPC, offering superior performance to conventional methods and providing valuable insights for personalized treatment strategies. Our findings support the integration of radiomics into clinical decision-making for NPC management.
Authors
- Enhui Qiu
- Fei-lin Le
- Fengfeng Zhuang
- Tianxiu Zheng
- Zhiming Chen (ORCID: https://orcid.org/0000-0002-0951-6535)
- Xiaofang Chen (ORCID: https://orcid.org/0000-0002-2973-0432)
- Yuanzhe Li (ORCID: https://orcid.org/0000-0002-3200-6701)
- Yi Wang (ORCID: https://orcid.org/0000-0003-1404-8526)
- Yahong Li (ORCID: https://orcid.org/0000-0003-1222-3095)
- Wei-yang Xu
- P Chen
- B. Li
Institutions
- Fujian Medical University (CN)
- Ningde Normal University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-11-21
- DOI
- https://doi.org/10.3389/fmed.2025.1654023
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00