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Validation of the preconfigured Varian Ethos Acuros XB Beam Model for treatment planning dose calculations: A dosimetric study
Journal of Applied Clinical Medical Physics ( IF 2.0 ) Pub Date : 2020-10-17 , DOI: 10.1002/acm2.13056
Yunfei Hu 1 , Mikel Byrne 2 , Ben Archibald-Heeren 2 , Nick Collett 2 , Guilin Liu 2 , Trent Aland 3
Affiliation  

Varian (Palo Alto, California, United States) recently released an online adaptation treatment platform, Ethos, which has introduced a new Dose Preview and Automated Plan Generation module despite sharing identical beam data with the existing Halcyon linac. The module incorporates a preconfigured beam model and the Acuros XB algorithm (Ethos AXB model) to generate final dose calculations from an initial fluence optimization. In this study, we comprehensively validated the accuracy of the Ethos AXB model by comparing it against the Halcyon AXB model, the Halcyon Anisotropic Analytical Algorithm (AAA) model, and measurements acquired on an Ethos linac. Results indicated that the Ethos AXB model demonstrated a comparable if not superior dosimetric accuracy to the Halcyon AXB model in basic and complex calculations, and at the same time its dosimetric accuracy in modulated and heterogeneous plans was better than that of the Halcyon AAA model. Despite the fact that the same algorithm was utilized, the Ethos AXB model and the Halcyon AXB model still exhibited variations across a range of tests, although these variations were predominantly insignificant in the clinical environment. The accuracy of the Ethos AXB model has been successfully verified in this study and is considered appropriate for the current clinical scope. On the basis of this study, clinical physicists can perform a data validation instead of a full data commissioning when implementing the Ethos system, thereby adopting a more efficient approach for Ethos installation.

中文翻译:

预先配置的Varian Ethos Acuros XB梁模型对治疗计划剂量计算的验证:剂量学研究

瓦里安(Varian)(美国加利福尼亚州帕洛阿尔托)最近发布了在线适应治疗平台Ethos,尽管与现有的Halcyon直线加速器共享了相同的射束数据,但它引入了新的剂量预览和自动计划生成模块。该模块结合了预先配置的光束模型和Acuros XB算法(Ethos AXB模型),可以从初始注量优化生成最终剂量计算。在这项研究中,我们通过将其与Halcyon AXB模型,Halcyon各向异性分析算法(AAA)模型以及在Ethos直线加速器上获得的测量值进行比较,全面验证了Ethos AXB模型的准确性。结果表明,在基本和复杂的计算中,Ethos AXB模型在剂量学上的准确性与Halcyon AXB模型相当,同时,其在调制方案和异构方案中的剂量精度要优于Halcyon AAA模型。尽管使用了相同的算法,但是Ethos AXB模型和Halcyon AXB模型在一系列测试中仍表现出差异,尽管这些差异在临床环境中主要无关紧要。Ethos AXB模型的准确性已在此研究中成功验证,并被认为适合当前的临床范围。根据这项研究,临床物理学家在实施Ethos系统时可以执行数据验证而不是完整的数据调试,从而采用更有效的方法来安装Ethos。尽管使用了相同的算法,但是Ethos AXB模型和Halcyon AXB模型在一系列测试中仍表现出差异,尽管这些差异在临床环境中主要无关紧要。Ethos AXB模型的准确性已在此研究中成功验证,并被认为适合当前的临床范围。根据这项研究,临床物理学家在实施Ethos系统时可以执行数据验证而不是完整的数据调试,从而采用更有效的方法来安装Ethos。尽管使用了相同的算法,但是Ethos AXB模型和Halcyon AXB模型在一系列测试中仍表现出差异,尽管这些差异在临床环境中主要无关紧要。Ethos AXB模型的准确性已在此研究中成功验证,并被认为适合当前的临床范围。根据这项研究,临床物理学家在实施Ethos系统时可以执行数据验证而不是完整的数据调试,从而采用更有效的方法来安装Ethos。Ethos AXB模型的准确性已在此研究中成功验证,并被认为适合当前的临床范围。根据这项研究,临床物理学家在实施Ethos系统时可以执行数据验证而不是完整的数据调试,从而采用更有效的方法来安装Ethos。Ethos AXB模型的准确性已在此研究中成功验证,并被认为适合当前的临床范围。根据这项研究,临床物理学家在实施Ethos系统时可以执行数据验证而不是完整的数据调试,从而采用更有效的方法来安装Ethos。
更新日期:2020-10-17
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