Colvill Emma, Booth Jeremy, Nill Simeon, Fast Martin, Bedford James, Oelfke Uwe, Nakamura Mitsuhiro, Poulsen Per, Worm Esben, Hansen Rune, Ravkilde Thomas, Scherman Rydhög Jonas, Pommer Tobias, Munck Af Rosenschold Per, Lang Stephanie, Guckenberger Matthias, Groh Christian, Herrmann Christian, Verellen Dirk, Poels Kenneth, Wang Lei, Hadsell Michael, Sothmann Thilo, Blanck Oliver, Keall Paul
Radiation Physics Laboratory, University of Sydney, Australia; Northern Sydney Cancer Centre, Royal North Shore Hospital, Australia.
Northern Sydney Cancer Centre, Royal North Shore Hospital, Australia; School of Physics, University of Sydney, Australia.
Radiother Oncol. 2016 Apr;119(1):159-65. doi: 10.1016/j.radonc.2016.03.006. Epub 2016 Mar 22.
A study of real-time adaptive radiotherapy systems was performed to test the hypothesis that, across delivery systems and institutions, the dosimetric accuracy is improved with adaptive treatments over non-adaptive radiotherapy in the presence of patient-measured tumor motion.
Ten institutions with robotic(2), gimbaled(2), MLC(4) or couch tracking(2) used common materials including CT and structure sets, motion traces and planning protocols to create a lung and a prostate plan. For each motion trace, the plan was delivered twice to a moving dosimeter; with and without real-time adaptation. Each measurement was compared to a static measurement and the percentage of failed points for γ-tests recorded.
For all lung traces all measurement sets show improved dose accuracy with a mean 2%/2mm γ-fail rate of 1.6% with adaptation and 15.2% without adaptation (p<0.001). For all prostate the mean 2%/2mm γ-fail rate was 1.4% with adaptation and 17.3% without adaptation (p<0.001). The difference between the four systems was small with an average 2%/2mm γ-fail rate of <3% for all systems with adaptation for lung and prostate.
The investigated systems all accounted for realistic tumor motion accurately and performed to a similar high standard, with real-time adaptation significantly outperforming non-adaptive delivery methods.
开展一项关于实时自适应放射治疗系统的研究,以检验以下假设:在存在患者测量的肿瘤运动情况下,跨交付系统和机构,自适应治疗相比非自适应放射治疗可提高剂量测定准确性。
十个拥有机器人(2个)、万向架(2个)、多叶准直器(4个)或治疗床跟踪(2个)的机构使用包括CT和结构集、运动轨迹及计划方案等通用材料,创建一个肺部和一个前列腺计划。对于每条运动轨迹,计划在移动剂量仪上进行两次交付;一次有实时自适应,一次无实时自适应。每次测量均与静态测量进行比较,并记录γ检验失败点的百分比。
对于所有肺部轨迹,所有测量集均显示剂量准确性有所提高,自适应时平均2%/2mm γ通过率为1.6%,非自适应时为15.2%(p<0.001)。对于所有前列腺轨迹,自适应时平均2%/2mm γ通过率为1.4%,非自适应时为17.3%(p<0.001)。四个系统之间的差异较小,对于肺部和前列腺,所有系统自适应时平均2%/2mm γ通过率均<3%。
所研究的系统均能准确考虑实际肿瘤运动,并达到相似的高标准,实时自适应显著优于非自适应交付方法。