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

Abstract 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...

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Autores principales:	Kamran Poorbahrami, Irene E. Vignon-Clementel, Shawn C. Shadden, Jessica M. Oakes
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9f1faad053c34f50b0d9bf7665e4e011
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spelling	oai:doaj.org-article:9f1faad053c34f50b0d9bf7665e4e0112021-12-02T15:00:25ZA whole lung in silico model to estimate age dependent particle dosimetry10.1038/s41598-021-90509-82045-2322https://doaj.org/article/9f1faad053c34f50b0d9bf7665e4e0112021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90509-8https://doaj.org/toc/2045-2322Abstract 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 $$\upmu$$ μ 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 $$\upmu$$ μ m diameter particles we estimate total deposition as 88, 73, and $$66\%$$ 66 % 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.Kamran PoorbahramiIrene E. Vignon-ClementelShawn C. ShaddenJessica M. OakesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kamran Poorbahrami Irene E. Vignon-Clementel Shawn C. Shadden Jessica M. Oakes A whole lung in silico model to estimate age dependent particle dosimetry
description	Abstract 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 $$\upmu$$ μ 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 $$\upmu$$ μ m diameter particles we estimate total deposition as 88, 73, and $$66\%$$ 66 % 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.
format	article
author	Kamran Poorbahrami Irene E. Vignon-Clementel Shawn C. Shadden Jessica M. Oakes
author_facet	Kamran Poorbahrami Irene E. Vignon-Clementel Shawn C. Shadden Jessica M. Oakes
author_sort	Kamran Poorbahrami
title	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_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_sort	whole lung in silico model to estimate age dependent particle dosimetry
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9f1faad053c34f50b0d9bf7665e4e011
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A whole lung in silico model to estimate age dependent particle dosimetry

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