A Comparison between Electron Gamma Shower, National Research Council/Easy Particle Propagation (EGSnrc/Epp) and Monte Carlo N-Particle Transport Code (MCNP) in Simulation of the INTRABEAM ® System with Spherical Applicators

سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 42

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شناسه ملی سند علمی:

JR_JBPE-11-1_006

تاریخ نمایه سازی: 30 دی 1402

چکیده مقاله:

Background: Online Monte Carlo (MC) treatment planning is very crucial to increase the precision of intraoperative radiotherapy (IORT). However, the performance of MC methods depends on the geometries and energies used for the problem under study. Objective: This study aimed to compare the performance of MC N-Particle Transport Code version ۴c (MCNP۴c) and Electron Gamma Shower, National Research Council/easy particle propagation (EGSnrc/Epp) MC codes using similar geometry of an INTRABEAM® system.Material and Methods: This simulation study was done by increasing the number of particles and compared the performance of MCNP۴c and EGSnrc/Epp simulations using an INTRABEAM® system with ۱.۵ and ۵ cm diameter spherical applicators. A comparison of these two codes was done using simulation time, statistical uncertainty, and relative depth-dose values obtained after doing the simulation by each MC code. Results: The statistical uncertainties for the MCNP۴c and EGSnrc/Epp MC codes were below ۲% and ۰.۵%, respectively. ۱e۹ particles were simulated in ۱۱۷.۸۹ hours using MCNP۴c but a much greater number of particles (۵e۱۰ particles) were simulated in a shorter time of ۹۰.۲۶ hours using EGSnrc/Epp MC code. No significant deviations were found in the calculated relative depth-dose values for both in the presence and absence of an air gap between MCNP۴c and EGSnrc/Epp MC codes. Nevertheless, the EGSnrc/Epp MC code was found to be speedier and more efficient to achieve accurate statistical precision than MCNP۴c. Conclusion: Therefore, in all comparisons criteria used, EGSnrc/Epp MC code is much better than MCNP۴c MC code for simulating an INTRABEAM® system. Background:Online Monte Carlo (MC) treatment planning is very crucial to increase the precision of intraoperative radiotherapy (IORT). However, the performance of MC methods depends on the geometries and energies used for the problem under study. Objective: This study aimed to compare the performance of MC N-Particle Transport Code version ۴c (MCNP۴c) and Electron Gamma Shower, National Research Council/easy particle propagation (EGSnrc/Epp) MC codes using similar geometry of an INTRABEAM® system. Material and Methods: This simulation study was done by increasing the number of particles and compared the performance of MCNP۴c and EGSnrc/Epp simulations using an INTRABEAM® system with ۱.۵ and ۵ cm diameter spherical applicators. A comparison of these two codes was done using simulation time, statistical uncertainty, and relative depth-dose values obtained after doing the simulation by each MC code. Results: The statistical uncertainties for the MCNP۴c and EGSnrc/Epp MC codes were below ۲% and ۰.۵%, respectively. ۱e۹ particles were simulated in ۱۱۷.۸۹ hours using MCNP۴c but a much greater number of particles (۵e۱۰ particles) were simulated in a shorter time of ۹۰.۲۶ hours using EGSnrc/Epp MC code. No significant deviations were found in the calculated relative depth-dose values for both in the presence and absence of an air gap between MCNP۴c and EGSnrc/Epp MC codes. Nevertheless, the EGSnrc/Epp MC code was found to be speedier and more efficient to achieve accurate statistical precision than MCNP۴c.  Conclusion: Therefore, in all comparisons criteria used, EGSnrc/Epp MC code is much better than MCNP۴c MC code for simulating an INTRABEAM® system.

نویسندگان

E M Tegaw

PhD, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, International Campus (TUMS-IC), Tehran, Iran

Gh Geraily

PhD, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, International Campus (TUMS-IC), Tehran, Iran

S M Etesami

PhD, School of Particles and Accelerators, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran

S Gholami

PhD, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, International Campus (TUMS-IC), Tehran, Iran

H Ghanbari

PhD, Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran

M Farzin

PhD, Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran

G F Tadesse

PhD, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, International Campus (TUMS-IC), Tehran, Iran

M Shojaei

PhD, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, International Campus (TUMS-IC), Tehran, Iran

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