Predicting radiation pneumonitis with dose-segmented radiomics in locally advanced non- small cell lung cancer patients undergoing consolidative immunotherapy post- concurrent chemoradiotherapy
The combined model improves RP prediction in LA-NSCLC patients undergoing post-CCRT consolidative immunotherapy, offering a novel approach for personalized patient management.
Authors
- Weiqing Wang (ORCID: https://orcid.org/0000-0002-9440-1117)
- Yanan Wang (ORCID: https://orcid.org/0000-0001-7401-047X)
- Xue Meng (ORCID: https://orcid.org/0009-0004-7405-9192)
- Jinming Yu (ORCID: https://orcid.org/0000-0001-5933-9912)
- Xiaohan Wang (ORCID: https://orcid.org/0009-0009-9792-7972)
Institutions
- Shantou University (CN)
- First Affiliated Hospital of Shantou University Medical College (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-09-26
- DOI
- https://doi.org/10.3389/fimmu.2025.1684629
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- Chinese Society of Clinical Oncology