A machine learning approach for radiation pneumonitis prediction in elderly esophageal cancer patients by integrating baseline computed tomography radiomics, dosiomics, and clinical characteristics
A hybrid model combining radiomics and dosiomics with clinical characteristics showed the best performance for predicting RP.
Authors
- Junqiang Chen (ORCID: https://orcid.org/0000-0003-1484-9382)
- Meng Yan (ORCID: https://orcid.org/0000-0001-7073-0007)
- Zefen Xiao (ORCID: https://orcid.org/0000-0003-0503-6814)
- Xiaomin Wang (ORCID: https://orcid.org/0000-0003-0336-5526)
- Qifeng Wang (ORCID: https://orcid.org/0000-0002-3036-6084)
- Wenyang Liu (ORCID: https://orcid.org/0000-0002-6978-7169)
- Hongyun Shi (ORCID: https://orcid.org/0000-0002-4954-1057)
- Xin Wang
- Xiaofeng Wang (ORCID: https://orcid.org/0000-0002-5413-4798)
- Zhilong Yu
- Wencheng Zhang (ORCID: https://orcid.org/0000-0001-5433-5146)
- Qingsong Pang (ORCID: https://orcid.org/0000-0001-9416-2905)
- Ling Li (ORCID: https://orcid.org/0000-0001-7293-6228)
- Yonggang Shi
- Xiaolin Ge
- Zhunhao Zheng
Institutions
- Fujian Medical University (CN)
- University of Electronic Science and Technology of China (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Maastricht University Medical Centre (NL)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Sichuan Cancer Hospital (CN)
- Tengzhou Central People's Hospital (CN)
- Affiliated Hospital of Hebei University (CN)
- Fujian Provincial Cancer Hospital (CN)
- Jiangsu Province Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
- Maastro Clinic (NL)
- Anyang Tumor Hospital (CN)
- Inner Mongolia Medical University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.phro.2025.100863
- Primary Topic
- Effects of Radiation Exposure
- Type
- article
- Field-Weighted Citation Impact
- 0.00