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Inhaled aerosol distribution in human airways: a scintigraphy-guided study in a 3D printed model

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Title: Inhaled aerosol distribution in human airways: a scintigraphy-guided study in a 3D printed model
Authors: Verbanck, S
Ghorbaniasl, G
Biddiscombe, MF
Dragojlovic, D
Ricks, N
Lacor, C
Ilsen, B
De Mey, J
Schuermans, D
Underwood, SR
Barnes, PJ
Vincken, W
Usmani, OS
Item Type: Journal Article
Abstract: Background: While it is generally accepted that inertial impaction will lead to particle loss as aerosol is being carried into the pulmonary airways, most predictive aerosol deposition models adopt the hypothesis that the inhaled particles that remain airborne will distribute according to the gas flow distribution between airways downstream. Methods: Using a 3D printed cast of human airways, we quantified particle deposition and distribution and visualized their inhaled trajectory in the human lung. The human airway cast was exposed to 6 μm monodisperse, radiolabeled aerosol particles at distinct inhaled flow rates and imaged by scintigraphy in two perpendicular planes. In addition, we also imaged the distribution of aerosol beyond the airways into the five lung lobes. The experimental aerosol deposition patterns could be mimicked by computational fluid dynamic (CFD) simulation in the same 3D airway geometry. Results: It was shown that for particles with a diameter of 6 μm inhaled at flows up to 60 L/min, the aerosol distribution over both lungs and the individual five lung lobes roughly followed the corresponding distributions of gas flow. While aerosol deposition was greater in the main bronchi of the left versus right lung, distribution of deposited and suspended particles toward the right lung exceeded that of the left lung. The CFD simulations also predict that for both 3 and 6 μm particles, aerosol distribution between lung units subtending from airways in generation 5 did not match gas distribution between these units and that this effect was driven by inertial impaction. Conclusions: We showed combined imaging experiments and CFD simulations to systematically study aerosol deposition patterns in human airways down to generation 5, where particle deposition could be spatially linked to the airway geometry. As particles are negotiating an increasing number of airways in subsequent branching generations, CFD predicts marked deviations of aerosol distribution with respect to ventilation distribution, even in the normal human lung.
Issue Date: 23-Jun-2016
Date of Acceptance: 18-Apr-2016
URI: http://hdl.handle.net/10044/1/34288
DOI: https://dx.doi.org/10.1089/jamp.2016.1291
ISSN: 1941-2711
Publisher: Mary Ann Liebert
Start Page: 525
End Page: 533
Journal / Book Title: Journal of Aerosol Medicine and Pulmonary Drug Delivery
Volume: 29
Issue: 6
Copyright Statement: © Mary Ann Liebert, Inc. Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/jamp.2016.1291
Sponsor/Funder: National Institute for Health Research
Imperial College Trust
Funder's Grant Number: CDF-2011-04-053
Keywords: 3D printed airway model
computational fluid dynamics
radio-labeled monodisperse aerosols
Respiratory System
1102 Cardiovascular Medicine And Haematology
1115 Pharmacology And Pharmaceutical Sciences
Publication Status: Published
Appears in Collections:National Heart and Lung Institute