Enhancing stereotactic ablative boost radiotherapy dose prediction for bulky lung cancer: A multi‐scale dilated network approach with scale‐balanced structure loss
Our study presents an effective model based on limited datasets, and it exhibits high accuracy in the dose prediction of P-SABR plans for bulky lung cancer. This method has potential as an automated tool for P-SABR planning and can help optimize treatments and improve planning efficiency.
Authors
- Xianshu Gao (ORCID: https://orcid.org/0000-0002-8348-456X)
- Jiayan Chen (ORCID: https://orcid.org/0000-0002-8209-7218)
- Yun Bai (ORCID: https://orcid.org/0000-0002-2027-2877)
- Yue Li (ORCID: https://orcid.org/0000-0002-9734-3418)
- Feng Lyu (ORCID: https://orcid.org/0000-0001-5977-7189)
- Xuanfeng Ding (ORCID: https://orcid.org/0000-0002-1733-6278)
- Lei Huang (ORCID: https://orcid.org/0000-0002-7737-8365)
- Shiyu Shang (ORCID: https://orcid.org/0000-0002-2611-9291)
- Si‐Wei Liu (ORCID: https://orcid.org/0000-0002-3283-5964)
- Mingwei Ma (ORCID: https://orcid.org/0000-0002-2200-8463)
- Xueying Ren (ORCID: https://orcid.org/0000-0002-9502-1861)
- Yan Gao (ORCID: https://orcid.org/0009-0003-5405-5496)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Karolinska Institutet (SE)
- Beaumont Hospital, Royal Oak (US)
- Peking University First Hospital (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1002/acm2.14546
- Citations
- 2
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.22
Funders
- Peking University First Hospital
- National Natural Science Foundation of China
- Natural Science Foundation of Beijing Municipality
- Peking University