Suppr超能文献

基于 EGSnrc/BEAMnrc 的 Elekta Versa HD 的 Monte Carlo 建模与患者剂量计算

Monte Carlo modeling of the Elekta Versa HD and patient dose calculation with EGSnrc/BEAMnrc.

机构信息

Department of Radiation Oncology, School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.

The Netherlands Cancer Institute, Amsterdam, The Netherlands.

出版信息

J Appl Clin Med Phys. 2022 Sep;23(9):e13715. doi: 10.1002/acm2.13715. Epub 2022 Aug 19.

Abstract

INTRODUCTION

Numerous studies have proven the Monte Carlo method to be an accurate means of dose calculation. Although there are several commercial Monte Carlo treatment planning systems (TPSs), some clinics may not have access to these resources. We present a method for routine, independent patient dose calculations from treatment plans generated in a commercial TPS with our own Monte Carlo model using free, open-source software.

MATERIALS AND METHODS

A model of the Elekta Versa HD linear accelerator was developed using the EGSnrc codes. A MATLAB script was created to take clinical patient plans and convert the DICOM RTP files into a format usable by EGSnrc. Ten patients' treatment plans were exported from the Monaco TPS to be recalculated using EGSnrc. Treatment simulations were done in BEAMnrc, and doses were calculated using Source 21 in DOSXYZnrc. Results were compared to patient plans calculated in the Monaco TPS and evaluated in Verisoft with a gamma criterion of 3%/2 mm.

RESULTS

Our Monte Carlo model was validated within 1%/1-mm accuracy of measured percent depth doses and profiles. Gamma passing rates ranged from 82.1% to 99.8%, with 7 out of 10 plans having a gamma pass rate over 95%. Lung and prostate patients showed the best agreement with doses calculated in Monaco. All statistical uncertainties in DOSXYZnrc were less than 3.0%.

CONCLUSION

A Monte Carlo model for routine patient dose calculation was successfully developed and tested. This model allows users to directly recalculate DICOM RP files containing patients' plans that have been exported from a commercial TPS.

摘要

介绍

许多研究已经证明蒙特卡罗方法是一种准确的剂量计算方法。虽然有几个商业的蒙特卡罗治疗计划系统(TPS),但有些诊所可能无法获得这些资源。我们提出了一种方法,使用我们自己的蒙特卡罗模型,通过免费的开源软件,从商业 TPS 生成的治疗计划中为常规的、独立的患者剂量计算提供服务。

材料与方法

使用 EGSnrc 代码开发了 Elekta Versa HD 直线加速器的模型。创建了一个 MATLAB 脚本,用于将临床患者计划的 DICOM RTP 文件转换为 EGSnrc 可用的格式。从 Monaco TPS 导出十个患者的治疗计划,以便使用 EGSnrc 重新计算。在 BEAMnrc 中进行治疗模拟,并在 DOSXYZnrc 中使用 Source 21 计算剂量。将结果与 Monaco TPS 计算的患者计划进行比较,并使用 3%/2 毫米的伽玛标准在 Verisoft 中进行评估。

结果

我们的蒙特卡罗模型在测量的百分深度剂量和轮廓的 1%/1 毫米精度范围内得到了验证。伽马通过率范围从 82.1%到 99.8%,7 个计划中有 7 个超过 95%的伽马通过率。肺和前列腺患者与 Monaco 计算的剂量吻合度最好。DOSXYZnrc 中的所有统计不确定性都小于 3.0%。

结论

成功开发并测试了一种用于常规患者剂量计算的蒙特卡罗模型。该模型允许用户直接重新计算包含已从商业 TPS 导出的患者计划的 DICOM RP 文件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8adf/9512349/437925d02ba5/ACM2-23-e13715-g009.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验