Feasibility study of applying a RapidPlan model trained with pre-surgical rectal cancer SIB plans to the optimization of post-surgical non-SIB plans(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2020年第2期
- Page:
- 164-167
- Research Field:
- 医学放射物理
- Publishing date:
Info
- Title:
- Feasibility study of applying a RapidPlan model trained with pre-surgical rectal cancer SIB plans to the optimization of post-surgical non-SIB plans
- Author(s):
- WANG Haiyang1; WU Hao1; GENG Jianhao1; HUANG Yuliang1; LI Chenguang1; LI Weibo2; JIANG Fan1; GONG Jian1; XIANG Xiaoyu1; CAO Wentian3; CHANG Cheng1; MA Wenjun4; ZHANG Yibao1
- 1. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China; 2. Institute of Radiation Medicine, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg 185764, Germany; 3. Beijing Key Laboratory of Medical Physics and Engineering, Peking University, Beijing 100871, China; 4. School of Physics, Peking University, State Key Laboratory of Nuclear Physics and Technology, Beijing 100871, China
- Keywords:
- Keywords: rectal tumor; RapidPlan; radiotherapy plan; model prediction
- PACS:
- R730.55
- DOI:
- DOI:10.3969/j.issn.1005-202X.2020.02.006
- Abstract:
- Abstract: Objective To investigate the feasibility of applying a RapidPlan model trained with pre-surgical rectal cancer simultaneous integrated boost (SIB) plans to the optimization of post-surgical non-SIB plans, and to explore the methods to improve the existing models and extend their applications. Methods An existing RapidPlan model for pre-surgical rectal cancer SIB plans (PTV/PGTV: 41.8 Gy/50.6 Gy) was modified and used to re-optimize 18 clinical post-surgical non-SIB plans among which 7 and 11 cases were prescribed with 45 Gy and 50 Gy to PTV, respectively, without changing the original beam geometries, energies, accelerator configuration and dose volume calculation algorithm. The target structures were matched with PTV and PGTV in the model. The realizable DVH intervals were predicted, and the re-optimized plans were renormalized to achieve similar target coverage of the clinical plans before dosimetric comparison. Results Severe hot spots were caused by matching target areas of non-SIB plans to PTV in the model, while re-optimized plans could achieve similar or better plan quality with smaller standard errors of organs-at-risk dosimetric parameters, compared with the clinical plans. Conclusion RapidPlan model for pre-surgical rectal cancer SIB plans can be applied to the automatic optimization of post-surgical non-SIB plans with higher consistency in plan quality, but the target structure is needed to be matched to the high prescription target structure in SIB model.
Last Update: 2020-03-03