Mahnaz Etehadtavakol, Parvaneh Shokrani, Ahmad Shanei
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引用次数: 0
摘要
质子疗法是一种利用高能质子束瞄准并摧毁癌细胞的癌症治疗方法。近年来,质子治疗在癌症治疗中的应用越来越多,因为它比传统的放射方法具有更高的准确性和减少对健康组织的损伤等优点。为了精确规划和提供质子治疗,需要先进的软件工具来模拟和模拟质子束与患者身体之间的相互作用。其中一个工具是名为Geant4的蒙特卡罗模拟软件,它提供了放射治疗期间物理过程的精确建模。本研究的目的是在进行的研究中探讨Geant4工具箱在质子治疗中的有效性。这篇综述文章在著名的国际数据库中检索了2002年至2023年间发表的文章,包括Scopus、PubMed、Scholar、b谷歌Web of Science和ScienceDirect。Geant4模拟可靠、准确,可用于优化和评估质子治疗系统的性能。从现实世界中进行的实验中获得一些数据是非常有效的。这样就很容易知道从模拟中得到的值与现实中离子的行为有多接近。
Advancing Proton Therapy: A Review of Geant4 Simulation for Enhanced Planning and Optimization in Hadron Therapy.
Proton therapy is a cancer treatment method that uses high-energy proton beams to target and destroy cancer cells. In recent years, the use of proton therapy in cancer treatment has increased due to its advantages over traditional radiation methods, such as higher accuracy and reduced damage to healthy tissues. For accurate planning and delivery of proton therapy, advanced software tools are needed to model and simulate the interaction between the proton beam and the patient's body. One of these tools is the Monte Carlo simulation software called Geant4, which provides accurate modeling of physical processes during radiation therapy. The purpose of this study is to investigate the effectiveness of the Geant4 toolbox in proton therapy in the conducted research. This review article searched for published articles between 2002 and 2023 in reputable international databases including Scopus, PubMed, Scholar, Google Web of Science, and ScienceDirect. Geant4 simulations are reliable and accurate and can be used to optimize and evaluate the performance of proton therapy systems. Obtaining some data from experiments carried out in the real world is very effective. This makes it easy to know how close the values obtained from simulations are to the behavior of ions in reality.
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.