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Mobetron移动式术中放疗加速器剂量学参数稳定性评估 被引量:1
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作者 廖雄飞 姚杏红 +6 位作者 黎杰 张达 lucia clara orlandini 王培 谭庭强 康盛伟 郎锦义 《肿瘤预防与治疗》 2019年第4期340-344,共5页
目的:对Mobetron移动式术中放疗加速器的日常质控检测数据进行分析,评估其剂量参数稳定性并分析相关影响因素。方法:利用随机附带的IntraOP QA phantom测量系统自装机后每周(周末)及每次术中放疗前(周中)对Mobetron加速器6、9和12MeV三... 目的:对Mobetron移动式术中放疗加速器的日常质控检测数据进行分析,评估其剂量参数稳定性并分析相关影响因素。方法:利用随机附带的IntraOP QA phantom测量系统自装机后每周(周末)及每次术中放疗前(周中)对Mobetron加速器6、9和12MeV三档能量输出剂量及输出能量进行检测,分析现有的检测数据,评估其输出剂量和输出能量稳定性;对周末及周中两种状态下Mobetron加速器的检测数据进行统计学分析,评估不同环境条件对Mobetron加速器剂量学参数稳定性的影响。结果:6、9和12MeV三档能量输出剂量及输出能量偏差均在临床允许误差范围以内;6、9和12MeV三档能量周中输出剂量偏差分别为(0.27±0.94)%、(0.34±1.11)%、(-0.61±0.85)%;周末输出剂量偏差分别为(-0.25±1.27)%、(0.54±1.40)%、(-1.26±1.68)%;周中输出能量偏差分别为(0.54±2.88)%、(-3.11±5.56)%、(-0.82±2.04)%;周末输出能量偏差分别为(3.76±5.13)%、(-4.63±6.81)%J0.47±2.64)%;周中及周末两种状态下.Mobetron加速器输出剂量及能量均无统计学差异(P>0.05)。结论:Mobetron移动式加速器具有良好的剂量学参数稳定性,能充分满足临床应用要求。 展开更多
关键词 Mobetron 电子束 剂量 术中放射治疗
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Identification of Factors Influencing Radiotherapy Errors during Radiation Treatments Using Quality Management Tools
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作者 Li Lintao lucia clara orlandini +5 位作者 Wang Xianliang Fan Ming Lu Shun Kang Shengwei Zhang Dekang Heng Li 《肿瘤预防与治疗》 2022年第1期7-13,共7页
Objective:To investigate factors that may cause radiotherapy errors during radiation treatments using quality management tools.Methods:The Delphi method was used to sort out the factors that cause radiotherapy errors ... Objective:To investigate factors that may cause radiotherapy errors during radiation treatments using quality management tools.Methods:The Delphi method was used to sort out the factors that cause radiotherapy errors which were then clasified by the Kaiser model.Results:In the first round of brainstorming,33 types of influencing factors were put forward,which were further reduced to 19 through the Delphi method.The recruited factors were,then,divided into four types by the Kaiser model,radiotherapyspecific factors with the mean weight of 49.49%,patient-related factors with the mean weight of 42.27%,therapist-related factors with the mean weight of 35.64% and hardware-related factors with the mean weight of 19.72%.Conclusion:Delphi plus Kaiser may be a promising method for predicting factors that may cause radiotherapy errors,which is worthy of further research. 展开更多
关键词 Radiotherapy errors Delphi method Kaiser model RADIOTHERAPY
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