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A whole lung in silico model to estimate age dependent particle dosimetry

Anatomical and physiological changes alter airflow characteristics and aerosol distribution in the developing lung. Correlation between age and aerosol dosimetry is needed, specifically because youth are more susceptible to medication side effects. In this study, we estimate aerosol dosages (particl...

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Autores principales: Poorbahrami, Kamran, Vignon-Clementel, Irene E., Shadden, Shawn C., Oakes, Jessica M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159973/
https://www.ncbi.nlm.nih.gov/pubmed/34045500
http://dx.doi.org/10.1038/s41598-021-90509-8
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author Poorbahrami, Kamran
Vignon-Clementel, Irene E.
Shadden, Shawn C.
Oakes, Jessica M.
author_facet Poorbahrami, Kamran
Vignon-Clementel, Irene E.
Shadden, Shawn C.
Oakes, Jessica M.
author_sort Poorbahrami, Kamran
collection PubMed
description Anatomical and physiological changes alter airflow characteristics and aerosol distribution in the developing lung. Correlation between age and aerosol dosimetry is needed, specifically because youth are more susceptible to medication side effects. In this study, we estimate aerosol dosages (particle diameters of 1, 3, and 5 [Formula: see text] m) in a 3 month-old infant, a 6 year-old child, and a 36 year-old adult by performing whole lung subject-specific particle simulations throughout respiration. For 3 [Formula: see text] m diameter particles we estimate total deposition as 88, 73, and [Formula: see text] and the conducting versus respiratory deposition ratios as 4.0, 0.5, and 0.4 for the infant, child, and adult, respectively. Due to their lower tidal volumes and functional residual capacities the deposited mass is smaller while the tissue concentrations are larger in the infant and child subjects, compared to the adult. Furthermore, we find that dose cannot be predicted by simply scaling by tidal volumes. These results highlight the need for additional clinical and computational studies that investigate the efficiency of treatment, while optimizing dosage levels in order to alleviate side effects, in youth.
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spelling pubmed-81599732021-05-28 A whole lung in silico model to estimate age dependent particle dosimetry Poorbahrami, Kamran Vignon-Clementel, Irene E. Shadden, Shawn C. Oakes, Jessica M. Sci Rep Article Anatomical and physiological changes alter airflow characteristics and aerosol distribution in the developing lung. Correlation between age and aerosol dosimetry is needed, specifically because youth are more susceptible to medication side effects. In this study, we estimate aerosol dosages (particle diameters of 1, 3, and 5 [Formula: see text] m) in a 3 month-old infant, a 6 year-old child, and a 36 year-old adult by performing whole lung subject-specific particle simulations throughout respiration. For 3 [Formula: see text] m diameter particles we estimate total deposition as 88, 73, and [Formula: see text] and the conducting versus respiratory deposition ratios as 4.0, 0.5, and 0.4 for the infant, child, and adult, respectively. Due to their lower tidal volumes and functional residual capacities the deposited mass is smaller while the tissue concentrations are larger in the infant and child subjects, compared to the adult. Furthermore, we find that dose cannot be predicted by simply scaling by tidal volumes. These results highlight the need for additional clinical and computational studies that investigate the efficiency of treatment, while optimizing dosage levels in order to alleviate side effects, in youth. Nature Publishing Group UK 2021-05-27 /pmc/articles/PMC8159973/ /pubmed/34045500 http://dx.doi.org/10.1038/s41598-021-90509-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Poorbahrami, Kamran
Vignon-Clementel, Irene E.
Shadden, Shawn C.
Oakes, Jessica M.
A whole lung in silico model to estimate age dependent particle dosimetry
title A whole lung in silico model to estimate age dependent particle dosimetry
title_full A whole lung in silico model to estimate age dependent particle dosimetry
title_fullStr A whole lung in silico model to estimate age dependent particle dosimetry
title_full_unstemmed A whole lung in silico model to estimate age dependent particle dosimetry
title_short A whole lung in silico model to estimate age dependent particle dosimetry
title_sort whole lung in silico model to estimate age dependent particle dosimetry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159973/
https://www.ncbi.nlm.nih.gov/pubmed/34045500
http://dx.doi.org/10.1038/s41598-021-90509-8
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