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ClinaciX 6MV光子束的PRIMO蒙特卡罗模型验证

Validation of PRIMO Monte Carlo Model of ClinaciX 6MV Photon Beam.

作者信息

Sarin B, Bindhu B, Saju B, Nair Raguram K

机构信息

Department of Physics, Noorul Islam Centre For Higher Education, Kumaracoil, Kanyakumari, Tamil Nadu, India.

Division of Radiation Physics, Regional Cancer Centre, Thiruvananthapuram, Kerala, India.

出版信息

J Med Phys. 2020 Jan-Mar;45(1):24-35. doi: 10.4103/jmp.JMP_75_19. Epub 2020 Mar 13.

DOI:10.4103/jmp.JMP_75_19
PMID:32355432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7185709/
Abstract

PURPOSE

This study aims to model 6MV photon of ClinaciX linear accelerator using PRIMO Monte Carlo (MC) code and to assess PRIMO as an independent MC-based dose verification and quality assurance tool.

MATERIALS AND METHODS

The modeling of ClinaciX linear accelerator has been carried out by using PRIMO simulation software (Version 0.3.1.1681). The simulated beam parameters were compared against the measured beam data of the ClinaciX machine. The PRIMO simulation model of ClinaciX was also validated against Eclipse Acuros XB dose calculations in the case of both homogenous and inhomogeneous mediums. The gamma analysis method with the acceptance criteria of 2%, 2 mm was used for the comparison of dose distributions.

RESULTS

Gamma analysis shows a minimum pass percentage of 99% for depth dose curves and 95.4% for beam profiles. The beam quality index and output factors and absolute point dose show good agreement with measurements. The validation of PRIMO dose calculations, in both homogeneous and inhomogeneous medium, against Acuros XB shows a minimum gamma analysis pass rate of 99%.

CONCLUSIONS

This study shows that the research software PRIMO can be used as a treatment planning system-independent quality assurance and dose verification tool in daily clinical practice. Further validation will be performed with different energies, complex multileaf collimators fields, and with dynamic treatment fields.

摘要

目的

本研究旨在使用PRIMO蒙特卡罗(MC)代码对ClinaciX直线加速器的6MV光子进行建模,并评估PRIMO作为一种基于MC的独立剂量验证和质量保证工具。

材料与方法

使用PRIMO模拟软件(版本0.3.1.1681)对ClinaciX直线加速器进行建模。将模拟的射束参数与ClinaciX机器的实测射束数据进行比较。在均匀和非均匀介质的情况下,还针对Eclipse Acuros XB剂量计算对ClinaciX的PRIMO模拟模型进行了验证。采用接受标准为2%、2mm的伽马分析方法来比较剂量分布。

结果

伽马分析显示,深度剂量曲线的最小通过率为99%,射野轮廓的最小通过率为95.4%。射束质量指数、输出因子和绝对点剂量与测量结果显示出良好的一致性。在均匀和非均匀介质中,PRIMO剂量计算相对于Acuros XB的验证显示伽马分析的最小通过率为99%。

结论

本研究表明,研究软件PRIMO可在日常临床实践中用作独立于治疗计划系统的质量保证和剂量验证工具。将使用不同能量、复杂的多叶准直器射野以及动态治疗射野进行进一步验证。

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本文引用的文献

1
Primo software as a tool for Monte Carlo simulations of intensity modulated radiotherapy: a feasibility study.第一款软件作为强度调制放射治疗的蒙特卡罗模拟的工具:一项可行性研究。
Radiat Oncol. 2018 May 15;13(1):91. doi: 10.1186/s13014-018-1021-2.
2
A geometrical model for the Monte Carlo simulation of the TrueBeam linac.用于TrueBeam直线加速器蒙特卡罗模拟的几何模型。
Phys Med Biol. 2015 Jun 7;60(11):N219-29. doi: 10.1088/0031-9155/60/11/N219. Epub 2015 May 18.
3
Monte Carlo simulation of TrueBeam flattening-filter-free beams using varian phase-space files: comparison with experimental data.
基于 PRIMO 的直线加速器蒙特卡罗模拟
Radiat Oncol. 2022 Nov 16;17(1):185. doi: 10.1186/s13014-022-02149-5.
4
Determination of Dose Distributions by Monte-Carlo Simulation of 6 MV Photon Beam of Varian VitalBeam Accelerator Using Geant4 Multithreaded Code.使用Geant4多线程代码通过蒙特卡罗模拟瓦里安医科达直线加速器6兆伏光子束来确定剂量分布。
J Med Phys. 2022 Apr-Jun;47(2):181-188. doi: 10.4103/jmp.jmp_139_21. Epub 2022 Aug 5.
5
Determination and validation of the initial beam parameters of Elekta Agility collimator head by Monte Carlo simulations.利用蒙特卡罗模拟确定和验证 Elekta Agility 准直器头部的初始射束参数。
Phys Eng Sci Med. 2022 Sep;45(3):889-899. doi: 10.1007/s13246-022-01159-7. Epub 2022 Jul 18.
6
Validation of Monte carlo Geant4 multithreading code for a 6 MV photon beam of varian linac on the grid computing.用于瓦里安直线加速器6兆伏光子束的蒙特卡罗Geant4多线程代码在网格计算上的验证。
Rep Pract Oncol Radiother. 2020 Nov-Dec;25(6):1001-1010. doi: 10.1016/j.rpor.2020.09.011. Epub 2020 Oct 12.
使用瓦里安相空间文件对TrueBeam无均整器光束进行蒙特卡罗模拟:与实验数据的比较。
Med Phys. 2014 May;41(5):051707. doi: 10.1118/1.4871041.
4
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Strahlenther Onkol. 2013 Oct;189(10):881-6. doi: 10.1007/s00066-013-0415-1. Epub 2013 Sep 6.
5
A combined approach of variance-reduction techniques for the efficient Monte Carlo simulation of linacs.采用变分减小技术的组合方法,可实现直线加速器的高效蒙特卡罗模拟。
Phys Med Biol. 2012 May 21;57(10):3013-24. doi: 10.1088/0031-9155/57/10/3013. Epub 2012 Apr 26.
6
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Med Phys. 2011 Nov;38(11):5887-95. doi: 10.1118/1.3643029.
7
Dosimetric validation of Acuros XB with Monte Carlo methods for photon dose calculations.利用蒙特卡罗方法对 Acuros XB 进行光子剂量计算的剂量学验证。
Med Phys. 2011 Apr;38(4):2208-21. doi: 10.1118/1.3567146.
8
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Phys Med Biol. 2011 Mar 21;56(6):1879-904. doi: 10.1088/0031-9155/56/6/022. Epub 2011 Mar 1.
9
Dose-calculation algorithms in the context of inhomogeneity corrections for high energy photon beams.适用于高能光子束不均匀性校正的剂量计算算法。
Med Phys. 2009 Oct;36(10):4765-75. doi: 10.1118/1.3213523.
10
Efficient Monte Carlo simulation of multileaf collimators using geometry-related variance-reduction techniques.使用与几何相关的方差减少技术对多叶准直器进行高效蒙特卡罗模拟。
Phys Med Biol. 2009 Jul 7;54(13):4131-49. doi: 10.1088/0031-9155/54/13/011. Epub 2009 Jun 12.