Royal Brisbane and Women's Hospital, Herston, QLD, Australia.
Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD, Australia.
Phys Eng Sci Med. 2020 Sep;43(3):1113-1123. doi: 10.1007/s13246-020-00907-x. Epub 2020 Aug 11.
The increase in complexity of treatment plans over time through modalities such as intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) has often not been met with an increase in capability of the secondary dose calculation checking systems typically used to verify the treatment planning system. Monte Carlo (MC) codes such as EGSnrc have become easily available and are capable of performing calculations of highly complex radiotherapy treatments. This educational note demonstrates a method for implementing and using a fully automated system for performing and analysing full MC calculations of conformal, IMRT and VMAT radiotherapy plans. Example calculations were based on BEAMnrc/DOSXYZnrc and are performed automatically after either uploading exported plan DICOM data through a Python-based web interface, or exporting DICOM data to a monitored network location. This note demonstrates how completed MC calculations can then be analysed using an automatically generated dose point comparison report, or easily re-imported back into the treatment planning system. Agreement between the TPS and MC calculation was an improvement on agreement between RadCalc and the TPS, with differences ranging from 1.2 to 5.5% between RadCalc and the treatment planning system (TPS), and 0.1-1.7% between MC and TPS. Comparison of the dose-volume histogram (DVH) parameters [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text] for the example VMAT plans showed agreement for the mean planning target volume dose within [Formula: see text], [Formula: see text] and [Formula: see text] generally within [Formula: see text] with the exception of a brain case, and [Formula: see text] within [Formula: see text]. Overall, this note provides a demonstration of a system that has been integrated well into existing clinical workflow, and has been shown to be a valuable additional tool in the secondary checking of treatment plan calculations.
随着时间的推移，治疗计划的复杂性通过诸如强度调制放疗（IMRT）和容积调制弧形治疗（VMAT）等方式不断增加，但通常未能提高用于验证治疗计划系统的次要剂量计算检查系统的能力。像 EGSnrc 这样的蒙特卡罗（MC）代码已经变得易于获得，并且能够执行高度复杂的放射治疗计算。本教育说明演示了一种用于执行和分析适形、IMRT 和 VMAT 放射治疗计划的全 MC 计算的完全自动化系统的实施和使用方法。示例计算基于 BEAMnrc/DOSXYZnrc，并通过基于 Python 的 Web 界面上传导出的计划 DICOM 数据，或者将 DICOM 数据导出到受监控的网络位置，自动执行。本说明演示了如何使用自动生成的剂量点比较报告分析完成的 MC 计算，或者轻松将其重新导入治疗计划系统。MC 计算与 TPS 之间的一致性优于 RadCalc 与 TPS 之间的一致性，RadCalc 与 TPS 之间的差异范围为 1.2%至 5.5%，MC 与 TPS 之间的差异范围为 0.1%至 1.7%。对于示例 VMAT 计划，比较剂量-体积直方图（DVH）参数 [公式：见正文]、[公式：见正文]、[公式：见正文]和 [公式：见正文]，显示平均计划靶区剂量在 [公式：见正文]、[公式：见正文]和 [公式：见正文]内的一致性，除了一个脑部病例外，[公式：见正文]内的一致性一般在 [公式：见正文]内。总体而言，本说明提供了一个系统的演示，该系统已很好地集成到现有的临床工作流程中，并已被证明是治疗计划计算的次要检查的有价值的附加工具。
