Analysis of relationship between VMAT plan delivery time and machine parameters
10.3760/cma.j.cn113030-20231010-00123
- VernacularTitle:容积弧形调强放疗计划执行时间与加速器参数的关系分析
- Author:
Guishan FU
1
;
Jianrong DAI
Author Information
1. 国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院放疗科，北京 100021
- Keywords:
Radiotherapy;
Volumetric intensity modulated arc therapy;
Plan delivery time;
Machine parameters
- From:
Chinese Journal of Radiation Oncology
2024;33(9):840-844
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the relationship between volumetric-modulated arc therapy (VMAT) plan delivery time and machine parameters, aiming to exploring the methods of shortening plan delivery time by improving machine performance.Methods:A total of 25 treatment plans of patients who completed VMAT in Cancer Hospital of Chinese Academy of Medical Sciences from March 2017 to July 2017 were selected by simple random sampling. The machine parameters were subject to modeling by using software. For conventional fraction and hyperfraction plans, the parameters that have the strongest limitations on delivery time were simulated by observing the relative change of delivery time in increasing the gantry speed, dose rate, multi-leaf collimator (MLC) leaf speed independently. The speed of the parameter which has the strongest limitations was simulated to obtain the dynamic changes of the limitation strength of these three parameters on the treatment time. The measured data were subject to statistical description.Results:For conventional segmentation plans with 2 Gy fractional dose, the gantry speed had the strongest limitations on delivery time and the MLC leaf speed had the strongest limitations on delivery time instead when the gantry speed was increased by 15%. For hyperfraction plans with 5 Gy fractional dose, dose rate had the strongest limitations on delivery time and the gantry speed had the strongest limitations when the gantry speed was increased by 12%.Conclusions:The relationship between VMAT plan delivery time and machine parameters depends on the characteristics of each plan. The relationship between different machine parameters and plan characteristics should be considered when shortening plan delivery time by improving the machine parameters.
