Evaluation of an algorithm-based automatic treatment planning module for volumetric-modulated arc therapy planning in nasopharyngeal carcinoma
10.3760/cma.j.issn.1004-4221.2017.12.012
- VernacularTitle:基于算法的自动计划模块应用于鼻咽癌VMAT计划设计的效果评估
- Author:
Daguang ZHANG
1
;
Shengpeng JIANG
;
Chengwen YANG
;
Peiguo WANG
;
Ximei ZHANG
;
Wei WANG
Author Information
1. 300060,天津医科大学肿瘤医院放疗科国家肿瘤临床医学研究中心 天津市"肿瘤防治"重点实验室 天津市恶性肿瘤临床医学研究中心
- Keywords:
Nasopharyngeal neoplasmsl;
Radiotherapy planning,computer-Assisted;
Volumetric modulated arc therapy
- From:
Chinese Journal of Radiation Oncology
2017;26(12):1411-1416
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the performance of progressive optimization algorithm-based Auto-Planning module in automated volumetric-modulated arc therapy(VMAT)planning for nasopharyngeal carcinoma. Methods Thirteen treated VMAT plans of nasopharyngeal carcinoma were re-planed with Auto-Planning module. Only one cycle of automated optimization of the Auto-Planning module was performed for each plan without any manual intervention. The dosimetric parameters of the automated treatment plans were compared with those of the manual plans. Paired t-test was used for statistical analysis. The time required for automated planning using the Auto-Planning module was also measured. Results All plans generated with the Auto-Planning module met the routine dosimetric requirements and were acceptable for clinical use. The homogeneity index of targets was superior in the automated plans than in manual plans(P= 0.000).In addition,the automated plans had significantly improved protection for some organs at risk than the manual plans. The mean dose to the left and right parotids were reduced by 7.75 Gy(P=0.000)and 5.79 Gy(P=0.000)in the automated plans,respectively. Furthermore,the V60(0.58% vs. 3.12%,P=0.000)and Dmean(34.11 Gy vs. 40.78 Gy,P= 0.000)of the mandible were also significantly lower with Auto-Planning than with manual planning. Conclusions Auto-Planning module can improve the overall quality and consistency of treatment plans,and reduce the workload and time of treatment planning,resulting in substantially enhanced treatment planning efficiency.
