[Prognosis-guided optimization of intensity-modulated radiation therapy plans for lung cancer].
The proposed optimization method based on a mixed objective function of outcome prediction and physical dose provides effective protection against normal tissue exposure to improve the outcomes of lung cancer patients following radiotherapy.
Authors
- Zhaojing Jiang (ORCID: https://orcid.org/0000-0003-0440-2114)
- Yongbao Li (ORCID: https://orcid.org/0000-0002-6741-5281)
- Jiawen Liu (ORCID: https://orcid.org/0000-0001-9085-906X)
- Ting Song (ORCID: https://orcid.org/0000-0002-9250-8025)
- Huali Li (ORCID: https://orcid.org/0000-0002-3555-5415)
- Linghong Zhou (ORCID: https://orcid.org/0000-0002-8372-5554)
- Wen Dou (ORCID: https://orcid.org/0009-0006-9229-9928)
Institutions
- Sun Yat-sen University (CN)
- Zhujiang Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-03-20
- DOI
- https://doi.org/10.12122/j.issn.1673-4254.2025.03.22
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article