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本文引用的文献

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The prediction of output factors for spread-out proton Bragg peak fields in clinical practice.临床实践中扩展质子布拉格峰射野输出因子的预测
Phys Med Biol. 2005 Dec 21;50(24):5847-56. doi: 10.1088/0031-9155/50/24/006. Epub 2005 Dec 6.
2
Absolute dose calculations for Monte Carlo simulations of radiotherapy beams.放射治疗束蒙特卡罗模拟的绝对剂量计算。
Phys Med Biol. 2005 Jul 21;50(14):3375-92. doi: 10.1088/0031-9155/50/14/013. Epub 2005 Jul 6.
3
Consistency test of the electron transport algorithm in the GEANT4 Monte Carlo code.GEANT4蒙特卡罗代码中电子输运算法的一致性测试。
Phys Med Biol. 2005 Feb 21;50(4):681-94. doi: 10.1088/0031-9155/50/4/008.
4
Monte Carlo calculations of output factors for clinically shaped electron fields.临床成形电子射野输出因子的蒙特卡罗计算
J Appl Clin Med Phys. 2004 Spring;5(2):42-63. doi: 10.1120/jacmp.v5i2.1976. Epub 2004 Apr 1.
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Adaptation of GEANT4 to Monte Carlo dose calculations based on CT data.将GEANT4应用于基于CT数据的蒙特卡罗剂量计算。
Med Phys. 2004 Oct;31(10):2811-8. doi: 10.1118/1.1796952.
6
An investigation of accelerator head scatter and output factor in air.加速器机头在空气中的散射及输出因子研究。
Med Phys. 2004 Sep;31(9):2527-33. doi: 10.1118/1.1784131.
7
Accurate Monte Carlo simulations for nozzle design, commissioning and quality assurance for a proton radiation therapy facility.用于质子放射治疗设备的喷嘴设计、调试和质量保证的精确蒙特卡罗模拟。
Med Phys. 2004 Jul;31(7):2107-18. doi: 10.1118/1.1762792.
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Four-dimensional Monte Carlo simulation of time-dependent geometries.随时间变化几何结构的四维蒙特卡罗模拟。
Phys Med Biol. 2004 Mar 21;49(6):N75-81. doi: 10.1088/0031-9155/49/6/n03.
10
Using Monte Carlo simulations to commission photon beam output factors--a feasibility study.使用蒙特卡罗模拟来确定光子束输出因子——一项可行性研究。
Phys Med Biol. 2003 Dec 7;48(23):3865-74. doi: 10.1088/0031-9155/48/23/005.

用于绝对剂量测定以确定质子治疗射野机器输出的蒙特卡罗计算。

Monte Carlo calculations for absolute dosimetry to determine machine outputs for proton therapy fields.

作者信息

Paganetti Harald

机构信息

Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.

出版信息

Phys Med Biol. 2006 Jun 7;51(11):2801-12. doi: 10.1088/0031-9155/51/11/008. Epub 2006 May 17.

DOI:10.1088/0031-9155/51/11/008
PMID:16723767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2292643/
Abstract

The prescribed dose in radiation therapy has to be converted into machine monitor units for patient treatment. This is done routinely for each spread-out Bragg peak (SOBP) field either by calibration measurements, by using analytical algorithms or by relying on empirical data. At the Northeast Proton Therapy Center, a monitor unit corresponds to a fixed amount of charge collected in a segmented transmission ionization chamber inside the treatment head. The goal of this work was to use a detailed Monte Carlo model of the treatment head to calculate the dose delivered to the patient as a function of ionization chamber reading, i.e. to yield absolute dose in patients in terms of machine monitor units. The results show excellent agreement with measurements. For 50 SOBP fields considered in this study, the mean absolute difference between the experimental and the calculated value is 1.5%, where approximately 50% of the fields agree within 1%. This is within the uncertainties of the data. The Monte Carlo method has advantages over analytical algorithms because it takes into account scattered and secondary radiation, does not rely on empirical parameters, and provides a tool to study the influence of parts of the treatment head on the ionization chamber reading. Compared to experimental methods the Monte Carlo method has the advantage of being able to verify the dose in the patient geometry.

摘要

放射治疗中规定的剂量必须转换为机器监测单位用于患者治疗。对于每个扩展布拉格峰(SOBP)野,这通常通过校准测量、使用分析算法或依靠经验数据来完成。在东北质子治疗中心,一个监测单位对应于治疗头内分段传输电离室中收集的固定电荷量。这项工作的目标是使用治疗头的详细蒙特卡罗模型来计算作为电离室读数函数的输送给患者的剂量,即在机器监测单位方面得出患者体内的绝对剂量。结果与测量结果显示出极好的一致性。对于本研究中考虑的50个SOBP野,实验值与计算值之间的平均绝对差值为1.5%,其中约50%的野在1%以内相符。这在数据的不确定性范围内。蒙特卡罗方法比分析算法具有优势,因为它考虑了散射和二次辐射,不依赖经验参数,并提供了一种研究治疗头各部分对电离室读数影响的工具。与实验方法相比,蒙特卡罗方法的优势在于能够验证患者几何形状中的剂量。