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Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN

After proposing the idea of antiproton cancer treatment in 1984 many experiments were launched to investigate different aspects of physical and radiobiological properties of antiproton, which came from its annihilation reactions. One of these experiments has been done at the European Organization fo...

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Autores principales: Tavakoli, Mohammad Bagher, Reiazi, Reza, Mohammadi, Mohammad Mehdi, Jabbari, Keyvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478644/
https://www.ncbi.nlm.nih.gov/pubmed/26170558
http://dx.doi.org/10.4103/0971-6203.158696
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author Tavakoli, Mohammad Bagher
Reiazi, Reza
Mohammadi, Mohammad Mehdi
Jabbari, Keyvan
author_facet Tavakoli, Mohammad Bagher
Reiazi, Reza
Mohammadi, Mohammad Mehdi
Jabbari, Keyvan
author_sort Tavakoli, Mohammad Bagher
collection PubMed
description After proposing the idea of antiproton cancer treatment in 1984 many experiments were launched to investigate different aspects of physical and radiobiological properties of antiproton, which came from its annihilation reactions. One of these experiments has been done at the European Organization for Nuclear Research known as CERN using the antiproton decelerator. The ultimate goal of this experiment was to assess the dosimetric and radiobiological properties of beams of antiprotons in order to estimate the suitability of antiprotons for radiotherapy. One difficulty on this way was the unavailability of antiproton beam in CERN for a long time, so the verification of Monte Carlo codes to simulate antiproton depth dose could be useful. Among available simulation codes, Geant4 provides acceptable flexibility and extensibility, which progressively lead to the development of novel Geant4 applications in research domains, especially modeling the biological effects of ionizing radiation at the sub-cellular scale. In this study, the depth dose corresponding to CERN antiproton beam energy by Geant4 recruiting all the standard physics lists currently available and benchmarked for other use cases were calculated. Overall, none of the standard physics lists was able to draw the antiproton percentage depth dose. Although, with some models our results were promising, the Bragg peak level remained as the point of concern for our study. It is concluded that the Bertini model with high precision neutron tracking (QGSP_BERT_HP) is the best to match the experimental data though it is also the slowest model to simulate events among the physics lists.
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spelling pubmed-44786442015-07-13 Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN Tavakoli, Mohammad Bagher Reiazi, Reza Mohammadi, Mohammad Mehdi Jabbari, Keyvan J Med Phys Scientific Note After proposing the idea of antiproton cancer treatment in 1984 many experiments were launched to investigate different aspects of physical and radiobiological properties of antiproton, which came from its annihilation reactions. One of these experiments has been done at the European Organization for Nuclear Research known as CERN using the antiproton decelerator. The ultimate goal of this experiment was to assess the dosimetric and radiobiological properties of beams of antiprotons in order to estimate the suitability of antiprotons for radiotherapy. One difficulty on this way was the unavailability of antiproton beam in CERN for a long time, so the verification of Monte Carlo codes to simulate antiproton depth dose could be useful. Among available simulation codes, Geant4 provides acceptable flexibility and extensibility, which progressively lead to the development of novel Geant4 applications in research domains, especially modeling the biological effects of ionizing radiation at the sub-cellular scale. In this study, the depth dose corresponding to CERN antiproton beam energy by Geant4 recruiting all the standard physics lists currently available and benchmarked for other use cases were calculated. Overall, none of the standard physics lists was able to draw the antiproton percentage depth dose. Although, with some models our results were promising, the Bragg peak level remained as the point of concern for our study. It is concluded that the Bertini model with high precision neutron tracking (QGSP_BERT_HP) is the best to match the experimental data though it is also the slowest model to simulate events among the physics lists. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4478644/ /pubmed/26170558 http://dx.doi.org/10.4103/0971-6203.158696 Text en Copyright: © Journal of Medical Physics http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Scientific Note
Tavakoli, Mohammad Bagher
Reiazi, Reza
Mohammadi, Mohammad Mehdi
Jabbari, Keyvan
Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN
title Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN
title_full Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN
title_fullStr Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN
title_full_unstemmed Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN
title_short Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN
title_sort comparison of electromagnetic and hadronic models generated using geant 4 with antiproton dose measured in cern
topic Scientific Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478644/
https://www.ncbi.nlm.nih.gov/pubmed/26170558
http://dx.doi.org/10.4103/0971-6203.158696
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