Xiao Qing, Li Guangjun, Zhang Xiangbin, Bai Sen
Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041.
Zhongguo Yi Liao Qi Xie Za Zhi. 2021 Feb 8;45(1):109-113. doi: 10.3969/j.issn.1671-7104.2021.01.023.
Clinically, beam matching can greatly improve the flexibility and efficiency of treating patients between different medical electron linacs. However, in addition to the regular quality assurance (QA) test of the machine performance of linacs, there is still a lack of comprehensive evaluation of the clinical radiotherapy performance of beam-matched linacs. In this paper, the performance of volumetric modulated arc therapy (VMAT) between three closely matched linacs was evaluated by statistical process control (SPC) technology. It was found that the average and median γ passing rates of the VMAT QA processes of the three linacs had little difference, but the process capability levels were at three different levels. The results show that SPC technology can effectively evaluate the performance of beam matching for medical electron linacs, improve the patient-specific VMAT QA processes, and guide clinical decision-making.
临床上,射束匹配可极大地提高在不同医用电子直线加速器之间治疗患者的灵活性和效率。然而,除了对直线加速器的机器性能进行常规质量保证(QA)测试外,对于射束匹配的直线加速器的临床放射治疗性能仍缺乏全面评估。本文采用统计过程控制(SPC)技术评估了三台紧密匹配的直线加速器之间的容积调强弧形治疗(VMAT)性能。结果发现,三台直线加速器VMAT QA过程的平均γ通过率和中位数γ通过率差异不大,但过程能力水平处于三个不同级别。结果表明,SPC技术可有效评估医用电子直线加速器的射束匹配性能,改进针对患者的VMAT QA过程,并指导临床决策。