Application of aperture shape controller and convergence mode in cervical cancer VMAT radiotherapy plan
Objective To investigate the impact of ASC and CM optimization sub algorithms in the Eclipse planning system on the quality and complexity of volume modulated radiotherapy plan for cervical cancer.Methods This study was a retrospective analysis of 30 patients with cervical cancer(stage I-IVA)who were treated at the First People's Hospital of Yibin from July 2021 to July 2023 in the Department of Oncology(Radiation Oncology).The VMAT plans of the selected cases were re-optimized by changing the ASC setting(off,low,moderate,high)and the CM setting(off,on),respectively.The quality of the treatment plan was evaluated using parameters of plan quality and complexity indicators.Results For PTV,there were statistically significant differences(P<0.05)in HI,CI(except for control groups I and V),D2,D50,and D98 compared to when CM was set to off and CM was set to on.When CM was set to off or on,HI,CI,D2,D50 and D98 all show an increasing trend as ASC was set to off,low,moderate,and high.Except for the control groups I and V,I and II,and V and VI,there were statistically significant differences in gut V45(P<0.05).When CM was set to off or on,as the priority of ASC setting increases,gut V45,bladder V50,left and right femoral head V20 and V30 all show an increasing trend.The changes in MU,ALT,ABW,LTMCS,and AMCS had reduced the complexity of the plan.Compared with CM set to off,CM set to on optimized total average time,MU,ALT,and ABW increased by 77%,2%,12%,and-2%,respectively.Conclusion Both CM and ASC algorithms will increase optimization time.The former can improve target uniformity,while the latter is the opposite.Higher priority ASC can reduce the impact of blade motion paths on the plan and significantly improve plan complexity.Without considering optimization time,it is recommended to select off and high parameters for both CM and ASC when developing VMAT plans for cervical cancer,in order to balance clinical needs and treatment execution efficiency.
万方数据
维普
