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EGSnrc在调强放射治疗计划中的应用。

EGSnrc application for IMRT planning.

作者信息

Yani Sitti, Rizkia Ilmi, Rhani Mohamad Fahdillah, Haekal Mohammad, Haryanto Freddy

机构信息

Department of Physics, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (IPB University), Jalan Meranti Kampus IPB Dramaga, Bogor 16680, Indonesia.

Department of Physics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa 10, Coblong, Bandung, West Java, 40132, Indonesia.

出版信息

Rep Pract Oncol Radiother. 2020 Mar-Apr;25(2):217-226. doi: 10.1016/j.rpor.2020.01.004. Epub 2020 Jan 22.

Abstract

The aim of this study was to describe a detailed instruction of intensity modulated radiotherapy (IMRT) planning simulation using BEAMnrc-DOSXYZnrc code system (EGSnrc package) and present a new graphical user interface based on MATLAB code (The MathWorks) to combine more than one. 3ddose file which were obtained from the IMRT plan. This study was performed in four phases: the commissioning of Varian Clinac iX6 MV, the simulation of IMRT planning in EGSnrc, the creation of in-house VDOSE GUI, and the analysis of the isodose contour and dose volume histogram (DVH) curve from several beam angles. The plan paramaters in sequence and control point files were extracted from the planning data in Tan Tock Seng Hospital Singapore (multileaf collimator (MLC) leaf positions - bank A and bank B, gantry angles, coordinate of isocenters, and MU indexes). VDOSE GUI which was created in this study can display the distribution dose curve in each slice and beam angle. Dose distributions from various MLC settings and beam angles yield different dose distributions even though they used the same number of simulated particles. This was due to the differences in the MLC leaf openings in every field. The value of the relative dose error between the two dose ditributions for "body" was 51.23 %. The Monte Carlo (MC) data was normalized with the maximum dose but the analytical anisotropic algorithm (AAA) data was normalized by the dose in the isocenter. In this study, we have presented a Monte Carlo simulation framework for IMRT dose calculation using DOSXYZnrc source 21. Further studies are needed in conducting IMRT simulations using EGSnrc to minimize the different dose error and dose volume histogram deviation.

摘要

本研究的目的是描述使用BEAMnrc-DOSXYZnrc代码系统(EGSnrc软件包)进行调强放射治疗(IMRT)计划模拟的详细指导,并展示一个基于MATLAB代码(The MathWorks)的新图形用户界面,以合并从IMRT计划中获得的多个.3ddose文件。本研究分四个阶段进行:瓦里安Clinac iX6 6MV的调试、EGSnrc中IMRT计划的模拟、内部VDOSE GUI的创建以及从多个射野角度分析等剂量曲线和剂量体积直方图(DVH)曲线。计划参数序列和控制点文件是从新加坡陈笃生医院的计划数据中提取的(多叶准直器(MLC)叶片位置 - A组和B组、机架角度、等中心坐标和MU指数)。本研究中创建的VDOSE GUI可以显示每个切片和射野角度的剂量分布曲线。即使使用相同数量的模拟粒子,不同MLC设置和射野角度产生的剂量分布也不同。这是由于每个射野中MLC叶片开口的差异。“体模”的两种剂量分布之间的相对剂量误差值为51.23%。蒙特卡罗(MC)数据以最大剂量进行归一化,但解析各向异性算法(AAA)数据以等中心处的剂量进行归一化。在本研究中,我们展示了使用DOSXYZnrc源21进行IMRT剂量计算的蒙特卡罗模拟框架。需要进一步开展使用EGSnrc进行IMRT模拟的研究,以尽量减少不同的剂量误差和剂量体积直方图偏差。

相似文献

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EGSnrc application for IMRT planning.EGSnrc在调强放射治疗计划中的应用。
Rep Pract Oncol Radiother. 2020 Mar-Apr;25(2):217-226. doi: 10.1016/j.rpor.2020.01.004. Epub 2020 Jan 22.

本文引用的文献

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