使用用于断层发射(Gate)蒙特卡罗模拟的 GEANT4 应用程序,在 RANDO 模型上计算乳腺癌放疗的器官剂量分布(场内和场外)。

IF 1.3 Q4 ENGINEERING, BIOMEDICAL
Journal of Medical Signals & Sensors Pub Date : 2024-07-10 eCollection Date: 2024-01-01 DOI:10.4103/jmss.jmss_25_23
Marziyeh Behmadi, Mohammad Taghi Bahreyni Toossi, Shahrokh Nasseri, Mohammad Ehsan Ravari, Mahdi Momennezhad, Hamid Gholamhosseinian, Mohammad Mohammadi, Sibusiso Mdletshe
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引用次数: 0

摘要

简介放射治疗中的器官剂量分布计算及其对癌症病因副作用的了解是医学物理学家最关心的问题。利用蒙特卡洛(MC)模拟计算乳腺癌治疗计划的器官剂量分布是本研究的主要目标:使用用于断层发射的 GEANT4 应用程序对 Elekta Precise 直线加速器(LINAC)的光子模式进行了模拟和验证。使用 ISOgray 治疗计划系统 (TPS) 在 RANDO 的左乳房模型上制作了八个不同的放疗计划。模拟计划利用 TPS 剂量体积直方图(DVH)和伽马指数工具验证了临床肿瘤体积(CTV)内的光子剂量分布。为了验证场外器官的光子剂量分布,将点剂量测量结果与 MC 模拟中的相同点剂量进行了比较。最后,比较了从 TPS 和 MC 模拟中提取的场外器官的 DVH:结果:根据伽马指数工具的 2%/2 mm 标准,模拟的 LINAC 输出与实验测量结果高度一致。场内和场外器官的计划模拟分别与 TPS 和实验测量结果具有可接受的一致性。在低剂量部分,从 TPS 和 MC 模拟中提取的场外器官 DVH 存在差异。这种差异是由于 TPS 无法计算场外器官的剂量分布:根据研究结果,可以得出结论,采用 MC 模拟的治疗方案在计算场外剂量分布方面具有较高的准确性,可以在评估剂量分布对第二原发癌估计的重要作用方面发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calculation of Organ Dose Distribution (in-field and Out-of-field) in Breast Cancer Radiotherapy on RANDO Phantom Using GEANT4 Application for Tomographic Emission (Gate) Monte Carlo Simulation.

Introduction: Organ dose distribution calculation in radiotherapy and knowledge about its side effects in cancer etiology is the most concern for medical physicists. Calculation of organ dose distribution for breast cancer treatment plans with Monte Carlo (MC) simulation is the main goal of this study.

Materials and methods: Elekta Precise linear accelerator (LINAC) photon mode was simulated and verified using the GEANT4 application for tomographic emission. Eight different radiotherapy treatment plans on RANDO's phantom left breast were produced with the ISOgray treatment planning system (TPS). The simulated plans verified photon dose distribution in clinical tumor volume (CTV) with TPS dose volume histogram (DVH) and gamma index tools. To verify photon dose distribution in out-of-field organs, the point dose measurement results were compared with the same point doses in the MC simulation. Eventually, the DVHs for out-of-field organs that were extracted from the TPS and MC simulation were compared.

Results: Based on the implementation of gamma index tools with 2%/2 mm criteria, the simulated LINAC output demonstrated high agreement with the experimental measurements. Plan simulation for in-field and out-of-field organs had an acceptable agreement with TPS and experimental measurement, respectively. There was a difference between DVHs extracted from the TPS and MC simulation for out-of-field organs in low-dose parts. This difference is due to the inability of the TPS to calculate dose distribution in out-of-field organs.

Conclusion and discussion: Based on the results, it was concluded that the treatment plans with the MC simulation have a high accuracy for the calculation of out-of-field dose distribution and could play a significant role in evaluating the important role of dose distribution for second primary cancer estimation.

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来源期刊
Journal of Medical Signals & Sensors
Journal of Medical Signals & Sensors ENGINEERING, BIOMEDICAL-
CiteScore
2.30
自引率
0.00%
发文量
53
审稿时长
33 weeks
期刊介绍: JMSS is an interdisciplinary journal that incorporates all aspects of the biomedical engineering including bioelectrics, bioinformatics, medical physics, health technology assessment, etc. Subject areas covered by the journal include: - Bioelectric: Bioinstruments Biosensors Modeling Biomedical signal processing Medical image analysis and processing Medical imaging devices Control of biological systems Neuromuscular systems Cognitive sciences Telemedicine Robotic Medical ultrasonography Bioelectromagnetics Electrophysiology Cell tracking - Bioinformatics and medical informatics: Analysis of biological data Data mining Stochastic modeling Computational genomics Artificial intelligence & fuzzy Applications Medical softwares Bioalgorithms Electronic health - Biophysics and medical physics: Computed tomography Radiation therapy Laser therapy - Education in biomedical engineering - Health technology assessment - Standard in biomedical engineering.
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