Development and validation of a lung biological equivalent dose-based multiregional radiomic model for predicting symptomatic radiation pneumonitis after SBRT in lung cancer patients
The combined model improves SRP prediction across various SBRT fractionation schemes, which warrants further validation and optimization using larger-scale retrospective data and in prospective trials.
Authors
- Guangwu Lin (ORCID: https://orcid.org/0000-0001-5085-2111)
- Hongbo Gao (ORCID: https://orcid.org/0009-0002-2992-3960)
- Di Chen (ORCID: https://orcid.org/0000-0003-1513-8873)
- Li Sun
- Shihong Li (ORCID: https://orcid.org/0000-0003-1302-9761)
- Yuxin Jiao (ORCID: https://orcid.org/0000-0003-0398-0115)
- Aihui Feng
- Yan‐Ping Ren
- Xiangpeng Zheng (ORCID: https://orcid.org/0000-0001-9953-2143)
Institutions
- Shanghai Jiao Tong University (CN)
- Fudan University (CN)
- Shanghai Chest Hospital (CN)
- Huadong Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-12-06
- DOI
- https://doi.org/10.3389/fonc.2024.1489217
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- Shanghai Anti-Cancer Association
- Shanghai Municipal Health Commission
- National Natural Science Foundation of China
- Shanghai Shenkang Hospital Development Center