Nasopharyngeal cancer adaptive radiotherapy with CBCT-derived synthetic CT: deep learning-based auto-segmentation precision and dose calculation consistency on a C-Arm linac
The proposed method exhibited minor variations in volumetric and dosimetric parameters compared to prior treatment data, suggesting potential efficiency improvements for ART in NPC through reduced human dependency.
Authors
- Liang Han (ORCID: https://orcid.org/0000-0003-4161-444X)
- Tingyu Duan
- Weijie Lei
- Zhijun Cao (ORCID: https://orcid.org/0000-0002-5519-9462)
- Caihong Li (ORCID: https://orcid.org/0000-0002-2256-1971)
- Xi Pei (ORCID: https://orcid.org/0009-0008-3558-5607)
- Bin Wang (ORCID: https://orcid.org/0000-0001-7665-6290)
Institutions
- Xuzhou Medical College (CN)
- Wisdom Health (United States) (US)
- Second Affiliated Hospital of Xuzhou Medical College (CN)
- Xuzhou No.1 People's Hospital (CN)
Publication Details
- Journal
- Radiation Oncology
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1186/s13014-025-02715-7
- Citations
- 2
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.77