The feasibility of an approximate irregular field dose distribution simulation program applied to a respiratory motion compensation system

Autor: Po Jung Chen, Ho-Chiao Chuang, Muthusankar Ganesan, Jeng Fong Chiou, Lai Lei Ting, Ai-Ho Liao, Hsiao Wei Yu, Shiu Chen Jeng, Chia Chun Kuo
Rok vydání: 2021
Předmět:
Zdroj: Physica Medica. 88:117-126
ISSN: 1120-1797
DOI: 10.1016/j.ejmp.2021.06.019
Popis: Purpose This study optimized our previously proposed simulation program for the approximate irregular field dose distribution (SPAD) and applied it to a respiratory motion compensation system (RMCS) and respiratory motion simulation system (RMSS). The main purpose was to rapidly analyze the two-dimensional dose distribution and evaluate the compensation effect of the RMCS during radiotherapy. Methods This study modified the SPAD to improve the rapid analysis of the dose distribution. In the experimental setup, four different respiratory signal patterns were input to the RMSS for actuation, and an ultrasound image tracking algorithm was used to capture the real-time respiratory displacement, which was input to the RMCS for actuation. A linear accelerator simultaneously irradiated the EBT3 film. The gamma passing rate was used to verify the dose similarity between the EBT3 film and the SPAD, and conformity index (CI) and compensation rate (CR) were used to quantify the compensation effect. Results The Gamma passing rates were 70.48–81.39% (2%/2mm) and 88.23–96.23% (5%/3mm) for various collimator opening patterns. However, the passing rates of the SPAD and EBT3 film ranged from 61.85% to 99.85% at each treatment time point. Under the four different respiratory signal patterns, CR ranged between 21% and 75%. After compensation, the CI for 85%, 90%, and 95% isodose constraints were 0.78, 0.57, and 0.12, respectively. Conclusions This study has demonstrated that the dose change during each stage of the treatment process can be analyzed rapidly using the improved SPAD. After compensation, applying the RMCS can reduce the treatment errors caused by respiratory movements.
Databáze: OpenAIRE