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On the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy

Purpose: To investigate the effect of precise modeling for Monte Carlo simulations of gold nanoparticles (GNPs) dose-enhanced radiotherapy, two models characterized by their distribution of GNPs in a simulated macroscopic cubic tumor were introduced. The motivation was the widely documented tendency...

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Autores principales: Rasouli, Fatemeh S, Masoudi, S Farhad, Asadi, Somayeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681433/
https://www.ncbi.nlm.nih.gov/pubmed/31534328
http://dx.doi.org/10.2147/IJN.S214517
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author Rasouli, Fatemeh S
Masoudi, S Farhad
Asadi, Somayeh
author_facet Rasouli, Fatemeh S
Masoudi, S Farhad
Asadi, Somayeh
author_sort Rasouli, Fatemeh S
collection PubMed
description Purpose: To investigate the effect of precise modeling for Monte Carlo simulations of gold nanoparticles (GNPs) dose-enhanced radiotherapy, two models characterized by their distribution of GNPs in a simulated macroscopic cubic tumor were introduced. The motivation was the widely documented tendency of GNPs to localize around the cell nucleus. Methods: The introduced models composed of 2.7×107 ellipsoid cells, each of them containing a centrally located nucleus as the target for dose evaluation. In the first model, the spheres of GNP are homogeneously distributed in the whole tumor volume, and in the latter, GNPs are localized in the cytoplasms surrounded the nuclei. Results: The results achieved through applying Monte Carlo radiation transports using the Mont Carlo N-Particle eXtended code (MCNPX) show an underestimation of nuclear dose enhancement caused by homogeneous model compared with that of heterogeneous distribution. By investigating various quantities, it was found that subcellular location of GNPs strongly governs the sensitivity of dose enhancement to the number and concentration of GNPs targeted in the tumor. Other obvious differences are revealed by studying the dose enhancement curves in depth of the tumor. While the heterogeneous model predicts an approximately constant dose enhancement in depth for primary photon energies of 50 keV and more, the homogeneous model estimates an energy-dependent increase of about 11 to 30%. Conclusion: It can be concluded that defining a model in accordance with the experimental observations can effectively account for accurate prediction of macroscopic dose enhancement in the target of interest.
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spelling pubmed-66814332019-09-18 On the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy Rasouli, Fatemeh S Masoudi, S Farhad Asadi, Somayeh Int J Nanomedicine Original Research Purpose: To investigate the effect of precise modeling for Monte Carlo simulations of gold nanoparticles (GNPs) dose-enhanced radiotherapy, two models characterized by their distribution of GNPs in a simulated macroscopic cubic tumor were introduced. The motivation was the widely documented tendency of GNPs to localize around the cell nucleus. Methods: The introduced models composed of 2.7×107 ellipsoid cells, each of them containing a centrally located nucleus as the target for dose evaluation. In the first model, the spheres of GNP are homogeneously distributed in the whole tumor volume, and in the latter, GNPs are localized in the cytoplasms surrounded the nuclei. Results: The results achieved through applying Monte Carlo radiation transports using the Mont Carlo N-Particle eXtended code (MCNPX) show an underestimation of nuclear dose enhancement caused by homogeneous model compared with that of heterogeneous distribution. By investigating various quantities, it was found that subcellular location of GNPs strongly governs the sensitivity of dose enhancement to the number and concentration of GNPs targeted in the tumor. Other obvious differences are revealed by studying the dose enhancement curves in depth of the tumor. While the heterogeneous model predicts an approximately constant dose enhancement in depth for primary photon energies of 50 keV and more, the homogeneous model estimates an energy-dependent increase of about 11 to 30%. Conclusion: It can be concluded that defining a model in accordance with the experimental observations can effectively account for accurate prediction of macroscopic dose enhancement in the target of interest. Dove 2019-07-29 /pmc/articles/PMC6681433/ /pubmed/31534328 http://dx.doi.org/10.2147/IJN.S214517 Text en © 2019 Rasouli et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Rasouli, Fatemeh S
Masoudi, S Farhad
Asadi, Somayeh
On the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy
title On the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy
title_full On the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy
title_fullStr On the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy
title_full_unstemmed On the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy
title_short On the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy
title_sort on the importance of modeling gold nanoparticles distribution in dose-enhanced radiotherapy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681433/
https://www.ncbi.nlm.nih.gov/pubmed/31534328
http://dx.doi.org/10.2147/IJN.S214517
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