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2
Effects of contrast materials in IMRT and VMAT of prostate using a commercial Monte Carlo algorithm.
Australas Phys Eng Sci Med. 2016 Jun;39(2):547-56. doi: 10.1007/s13246-016-0427-0. Epub 2016 Feb 25.
3
Monte Carlo modeling of HD120 multileaf collimator on Varian TrueBeam linear accelerator for verification of 6X and 6X FFF VMAT SABR treatment plans.瓦里安 TrueBeam 直线加速器上 HD120 多叶准直器的蒙特卡罗建模,用于验证 6X 和 6X FFF VMAT SABR 治疗计划。
J Appl Clin Med Phys. 2014 May 8;15(3):4686. doi: 10.1120/jacmp.v15i3.4686.
4
Evaluation of clinical IMRT treatment planning using the GATE Monte Carlo simulation platform for absolute and relative dose calculations.使用 GATE 蒙特卡罗模拟平台进行绝对和相对剂量计算,评估临床调强放疗计划。
Med Phys. 2013 Feb;40(2):021711. doi: 10.1118/1.4774358.
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Beam coordinate transformations from DICOM to DOSXYZnrc.从 DICOM 到 DOSXYZnrc 的束坐标变换。
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8
Two new DOSXYZnrc sources for 4D Monte Carlo simulations of continuously variable beam configurations, with applications to RapidArc, VMAT, TomoTherapy and CyberKnife.用于连续可变射束配置的 4D Monte Carlo 模拟的两个新 DOSXYZnrc 源,应用于 RapidArc、VMAT、TomoTherapy 和 CyberKnife。
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9
Monte Carlo vs. pencil beam based optimization of stereotactic lung IMRT.蒙特卡罗法与笔形束算法在立体定向肺部调强放疗中的比较。
Radiat Oncol. 2009 Dec 12;4:64. doi: 10.1186/1748-717X-4-64.
10
Dosimetric verification of IMRT treatment planning using Monte Carlo simulations for prostate cancer.使用蒙特卡罗模拟对前列腺癌调强放射治疗计划进行剂量验证。
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使用DOSXYZnrc蒙特卡罗代码对五野和逐野调强放射治疗(IMRT)计划的效率研究。

Study of efficiency in five-field and field-by-field intensity modulated radiation therapy (IMRT) plan using DOSXYZnrc Monte Carlo code.

作者信息

Yani Sitti, Budiansah Indra, Rhani Mohamad Fahdillah, Haryanto Freddy

机构信息

Department of Physics, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (IPB University), Bogor, West Java 16680, Indonesia.

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

出版信息

Rep Pract Oncol Radiother. 2020 May-Jun;25(3):428-435. doi: 10.1016/j.rpor.2020.03.022. Epub 2020 Apr 27.

DOI:10.1016/j.rpor.2020.03.022
PMID:32372883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7191211/
Abstract

Implementation of a modern treatment technique, such as IMRT, has been improved. In line with that, Monte Carlo (MC) simulations of this technique require the ability of complex beam configurations modelling with respect to the patient. The source 20 DOSXYZnrc with the dynamic and step and shoot technique can be used to simulate the modality. However, they have a different process to obtain the dose distribution in a certain phantom. This study aimed to compare the simulation efficiency and isodose dose distribution in a water phantom from various beam angles and multileaf collimator (MLC) positions in an IMRT plan using source 20. The 30 × 30 × 30 cm phantom was irradiated by Varian Clinac iX10MV photon beam with various field sizes from 2 × 2 to 6 × 6 cm using some beam angles 5°, 30°, 90°, 180°, and 300° and maintaining the source to surface distance (SSD) of 100 cm. The field-by-field and five-field methods were used to obtain the 3-dimensional (3D) dose distribution. The dose distribution of these methods was compared using the gamma index, DVH analysis, and simulation efficiency. Higher efficiency is better because it implies that it takes less time to reach a given uncertainty. The implementation of source 20 has been validated, with similar results, with validated source in DOSXYZnrc. The identical 3D-dimensions dose distributions using source 20 for dynamic and step and shoot were observed. Two simulations used the same number of histories with the statistical uncertainty of less than 3%. The step and shoot technique was more efficient than the dynamic simulation.

摘要

现代治疗技术(如调强放射治疗(IMRT))的实施已有改进。与此相符的是,该技术的蒙特卡罗(MC)模拟需要具备针对患者对复杂射束配置进行建模的能力。具有动态以及步进和射野技术的源20 DOSXYZnrc可用于模拟该模态。然而,它们在获取特定体模中剂量分布的过程有所不同。本研究旨在比较在IMRT计划中使用源20时,从不同射束角度和多叶准直器(MLC)位置在水模中模拟效率和等剂量线剂量分布。使用瓦里安Clinac iX 10MV光子束,以5°、30°、90°、180°和300°等射束角度,对30×30×30 cm的体模进行照射,射野尺寸从2×2至6×6 cm不等,并保持源皮距(SSD)为100 cm。采用逐野和五野方法获取三维(3D)剂量分布。使用伽马指数、剂量体积直方图(DVH)分析和模拟效率对这些方法的剂量分布进行比较。更高的效率更好,因为这意味着达到给定不确定性所需的时间更少。源20的实施已得到验证,结果与DOSXYZnrc中经过验证的源相似。观察到使用源20对动态和步进及射野技术获得的3D尺寸剂量分布相同。两次模拟使用相同数量的历史统计数据,统计不确定性小于3%。步进和射野技术比动态模拟更高效。