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对小型领域和临床治疗计划的蒙特卡洛和崩圆剂量算法进行比较评估和QA测量阵列验证

Guus B Spenkelink¹, Sophie C Huijskens¹, Jaap D Zindler^2,3

¹Haaglanden Medical Center, Department of Medical Physics, Leidschendam, The Netherlands.

Journal of applied clinical medical physics

|September 17, 2024

概括

蒙特卡洛 (MC) 模拟显示了放射治疗的前景,特别是平面化无波束. 虽然MC对于复杂的图案是准确的,但它需要均的幻影图像,以便在小领域进行可靠的验证.

科学领域:

医学物理医学物理
辐射瘤学辐射瘤学
计算剂量计计算剂量计.

背景情况:

与B型算法相比,蒙特卡洛 (MC) 模拟在异质辐射疗法环境中被认为具有优越的剂量计算准确性.
电子不平衡在小或高度调制的场面是一个挑战,因为MC预计将超过B型算法,即使在同质介质中.

研究的目的:

在RayStation 12A治疗计划系统中比较MC和崩塌 (CC) 剂量算法的性能.
评估这些算法使用6 MV和6 MV平面化无波器 (FFF) 光子束用于VMAT计划,包括头,立体肺和大脑转移的治疗.
为了研究在小领域的聚合器角度依赖性,并评估不同ArcCHECK幻影配置和剂量算法的性能变化.

主要方法:

通过使用矩形场,高度调制的临床计划,水箱测量,ArcCHECK测量和薄膜剂量测量进行验证测试.
对MC和CC算法计算和测量剂量之间的一致性进行比较.
评估的剂量输出取决于小领域的聚合器角度.

主要成果:

对于VersaHD与敏捷性MLC,在非常小或狭窄的场域中观察到剂量输出的强大的对准角依赖性,这种依赖性由MC和CC算法重现.
在使用不均的幻影图像时,ArcCHECK结果显示了简单的矩形场的MC计算和测量之间的非最佳一致性.
对于使用6个MV FFF光束和同质幻影图像的临床VMAT计划,MC与CC相比始终产生更好的结果,显示13%-64%低的平均马指数.

结论:

建议在ArcCHECK与MC进行验证时采用均的幻影图像,特别是对于静态场,以提高与测量的一致性.
对于更模块化的处理领域,MC模拟可能会提供性能优势.
MC表现出与CC相当或优于其性能,特别是对于6个MV FFF光束,突出了其在先进的辐射疗法技术中的潜力.

关键词:

这就是ArcCHECK.崩的圆算法圆算法崩蒙特卡洛算法蒙特卡洛算法小场剂量测量小场剂量测量

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