Development and validation of an optimal GATE model for proton pencil-beam scanning delivery

IF 2.4 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Zeitschrift fur Medizinische Physik Pub Date : 2023-11-01 DOI:10.1016/j.zemedi.2022.10.008
Ali Asadi , Azadeh Akhavanallaf , Seyed Abolfazl Hosseini , Naser Vosoughi , Habib Zaidi
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引用次数: 0

Abstract

Objective

To develop and validate a versatile Monte Carlo (MC)-based dose calculation engine to support MC-based dose verification of treatment planning systems (TPSs) and quality assurance (QA) workflows in proton therapy.

Methods

The GATE MC toolkit was used to simulate a fixed horizontal active scan-based proton beam delivery (SIEMENS IONTRIS). Within the nozzle, two primary and secondary dose monitors have been designed to enable the comparison of the accuracy of dose estimation from MC simulations with respect to physical QA measurements. The developed beam model was validated against a series of commissioning measurements using pinpoint chambers and 2D array ionization chambers (IC) in terms of lateral profiles and depth dose distributions. Furthermore, beam delivery module and treatment planning has been validated against the literature deploying various clinical test cases of the AAPM TG‐119 (c-shape phantom) and a prostate patient.

Results

MC simulations showed excellent agreement with measurements in the lateral depth-dose parameters and spread-out Bragg peak (SOBP) characteristics within a maximum relative error of 0.95 mm in range, 1.83% in entrance to peak ratio, 0.27% in mean point-to-point dose difference, and 0.32% in peak location. The mean relative absolute difference between MC simulations and measurements in terms of absorbed dose in the SOBP region was 0.93% ± 0.88%. Clinical phantom studies showed a good agreement compared to research TPS (relative error for TG-119 planning target volume PTV-D95 ∼ 1.8%; and for prostate PTV-D95 ∼ −0.6%).

Conclusion

We successfully developed a MC model for the pencil beam scanning system, which appears reliable for dose verification of the TPS in combination with QA information, prior to patient treatment.

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开发和验证用于质子铅笔束扫描传输的最佳 GATE 模型
目的开发并验证基于蒙特卡罗(MC)的多功能剂量计算引擎,以支持质子治疗中基于MC的治疗计划系统(TPS)剂量验证和质量保证(QA)工作流程。方法使用GATE MC工具包模拟基于固定水平主动扫描的质子束输送(SIEMENS IONTRIS)。在喷嘴内,设计了两个主要和次要剂量监测器,以便比较 MC 模拟与物理 QA 测量的剂量估算准确性。利用针尖室和二维阵列电离室(IC)进行了一系列调试测量,从横向剖面和深度剂量分布方面对所开发的射束模型进行了验证。结果 MC 模拟结果显示,横向深度剂量参数和扩散布拉格峰(SOBP)特性与测量结果非常吻合,最大相对误差范围为 0.95 毫米,入口与峰值比为 1.83%,平均点对点剂量差为 0.27%,峰值位置为 0.32%。就 SOBP 区域的吸收剂量而言,MC 模拟与测量之间的平均相对绝对差值为 0.93% ± 0.88%。临床模型研究显示,与 TPS 研究相比,两者的一致性很好(TG-119 规划靶体积 PTV-D95 的相对误差 ∼ 1.8%;前列腺 PTV-D95 的相对误差 ∼ -0.6%)。
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来源期刊
CiteScore
3.70
自引率
10.00%
发文量
69
审稿时长
65 days
期刊介绍: Zeitschrift fur Medizinische Physik (Journal of Medical Physics) is an official organ of the German and Austrian Society of Medical Physic and the Swiss Society of Radiobiology and Medical Physics.The Journal is a platform for basic research and practical applications of physical procedures in medical diagnostics and therapy. The articles are reviewed following international standards of peer reviewing. Focuses of the articles are: -Biophysical methods in radiation therapy and nuclear medicine -Dosimetry and radiation protection -Radiological diagnostics and quality assurance -Modern imaging techniques, such as computed tomography, magnetic resonance imaging, positron emission tomography -Ultrasonography diagnostics, application of laser and UV rays -Electronic processing of biosignals -Artificial intelligence and machine learning in medical physics In the Journal, the latest scientific insights find their expression in the form of original articles, reviews, technical communications, and information for the clinical practice.
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