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Efficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography

Monte Carlo (MC) simulation is a simpler radiation dose assessment method than the conventional method, thermoluminescent dosimetry (TLD). MC simulation and TLD were compared as tools to evaluate the effective dose from paediatric panoramic radiography. Various exposure conditions and machine geomet...

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Autores principales: Lee, Chena, Park, Bora, Lee, Sam-Sun, Kim, Jo-Eun, Han, Sang-Sun, Huh, Kyung-Hoe, Yi, Won-Jin, Heo, Min-Suk, Choi, Soon-Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609601/
https://www.ncbi.nlm.nih.gov/pubmed/31273279
http://dx.doi.org/10.1038/s41598-019-46157-0
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author Lee, Chena
Park, Bora
Lee, Sam-Sun
Kim, Jo-Eun
Han, Sang-Sun
Huh, Kyung-Hoe
Yi, Won-Jin
Heo, Min-Suk
Choi, Soon-Chul
author_facet Lee, Chena
Park, Bora
Lee, Sam-Sun
Kim, Jo-Eun
Han, Sang-Sun
Huh, Kyung-Hoe
Yi, Won-Jin
Heo, Min-Suk
Choi, Soon-Chul
author_sort Lee, Chena
collection PubMed
description Monte Carlo (MC) simulation is a simpler radiation dose assessment method than the conventional method, thermoluminescent dosimetry (TLD). MC simulation and TLD were compared as tools to evaluate the effective dose from paediatric panoramic radiography. Various exposure conditions and machine geometries were simulated using the MC method to investigate factors resulting in effective dose reduction. The effective dose of paediatric panoramic radiography was obtained using an MC simulation and its reliability was verified by a comparison with the value obtained using TLD. Next, 7 factors determining the effective dose in the MC simulation were input with 6 equally-spaced values, and a total of 36 simulations were performed to obtain effective dose values. The correlations between each dose-determining factor and the resulting effective dose were evaluated using linear regression analysis. The TLD-measured dose was 3.850 µSv, while the MC simulation yielded a dose of 3.474 µSv. Beam height was the factor that most strongly influenced the effective dose, while rotation angle and focus-to-patient distance were the least influential factors. MC simulation is comparable to TLD for obtaining effective dose values in paediatric panoramic radiography. Obtaining panoramic radiography with a short beam height can effectively reduce the dose in paediatric patients.
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spelling pubmed-66096012019-07-14 Efficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography Lee, Chena Park, Bora Lee, Sam-Sun Kim, Jo-Eun Han, Sang-Sun Huh, Kyung-Hoe Yi, Won-Jin Heo, Min-Suk Choi, Soon-Chul Sci Rep Article Monte Carlo (MC) simulation is a simpler radiation dose assessment method than the conventional method, thermoluminescent dosimetry (TLD). MC simulation and TLD were compared as tools to evaluate the effective dose from paediatric panoramic radiography. Various exposure conditions and machine geometries were simulated using the MC method to investigate factors resulting in effective dose reduction. The effective dose of paediatric panoramic radiography was obtained using an MC simulation and its reliability was verified by a comparison with the value obtained using TLD. Next, 7 factors determining the effective dose in the MC simulation were input with 6 equally-spaced values, and a total of 36 simulations were performed to obtain effective dose values. The correlations between each dose-determining factor and the resulting effective dose were evaluated using linear regression analysis. The TLD-measured dose was 3.850 µSv, while the MC simulation yielded a dose of 3.474 µSv. Beam height was the factor that most strongly influenced the effective dose, while rotation angle and focus-to-patient distance were the least influential factors. MC simulation is comparable to TLD for obtaining effective dose values in paediatric panoramic radiography. Obtaining panoramic radiography with a short beam height can effectively reduce the dose in paediatric patients. Nature Publishing Group UK 2019-07-04 /pmc/articles/PMC6609601/ /pubmed/31273279 http://dx.doi.org/10.1038/s41598-019-46157-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lee, Chena
Park, Bora
Lee, Sam-Sun
Kim, Jo-Eun
Han, Sang-Sun
Huh, Kyung-Hoe
Yi, Won-Jin
Heo, Min-Suk
Choi, Soon-Chul
Efficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography
title Efficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography
title_full Efficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography
title_fullStr Efficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography
title_full_unstemmed Efficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography
title_short Efficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography
title_sort efficacy of the monte carlo method and dose reduction strategies in paediatric panoramic radiography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609601/
https://www.ncbi.nlm.nih.gov/pubmed/31273279
http://dx.doi.org/10.1038/s41598-019-46157-0
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