An isodose‐constrained automatic treatment planning strategy using a multicriteria predicted dose rating
In this study, a multicriteria rating strategy is proposed which combines pixel-wise numerical evaluation, clinical parameter evaluation and physical dose fall-off evaluation in order to rate the dose prediction models. Moreover, an automated planning workflow has been developed, enabling the rapid generation of treatment plans based on the isodose structures of the predicted dose. A self-consistent dose prediction to automatic planning scheme based on isodose lines is proposed, which significantly reduces the time required for plan optimization.
Authors
- Guorong Yao (ORCID: https://orcid.org/0000-0001-6856-1910)
- Jiazhou Wang (ORCID: https://orcid.org/0000-0002-2301-2034)
- Senxiang Yan (ORCID: https://orcid.org/0000-0001-7237-0826)
- Yuan‐Hua Chen
- Zhongjie Lu (ORCID: https://orcid.org/0000-0002-9648-1931)
- Zihan Sun (ORCID: https://orcid.org/0009-0001-2110-3856)
- Weigang Hu
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University Shanghai Cancer Center (CN)
- First Affiliated Hospital Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1002/mp.17795
- Citations
- 2
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.77