title: Inhaled Aerosol Distribution in Human Airways: A Scintigraphy-Guided Study in a 3D Printed Model.
abstract: 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.
  
  
  
  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.
  
  
  
  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.
  
  
  
  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.
authors.affiliation: 1 Respiratory Division, University Hospital UZ Brussel , Vrije Universiteit Brussel, Brussels, Belgium .
authors.forename: Sylvia
authors.initials: S
authors.lastname: Verbanck
authors.affiliation: 2 Research Group Fluid Mechanics and Thermodynamics, Department of Mechanical Engineering, Vrije Universiteit Brussel , Brussels, Belgium .
authors.forename: Ghader
authors.initials: G
authors.lastname: Ghorbaniasl
authors.affiliation: 3 Airway Disease Section, National Heart and Lung Institute , Imperial College London and Royal Brompton Hospital, London, United Kingdom .|4 Nuclear Medicine Department, Royal Brompton Hospital , London, United Kingdom .
authors.forename: Martyn F
authors.initials: MF
authors.lastname: Biddiscombe
authors.affiliation: 2 Research Group Fluid Mechanics and Thermodynamics, Department of Mechanical Engineering, Vrije Universiteit Brussel , Brussels, Belgium .
authors.forename: Dusica
authors.initials: D
authors.lastname: Dragojlovic
authors.affiliation: 2 Research Group Fluid Mechanics and Thermodynamics, Department of Mechanical Engineering, Vrije Universiteit Brussel , Brussels, Belgium .
authors.forename: Nathan
authors.initials: N
authors.lastname: Ricks
authors.affiliation: 2 Research Group Fluid Mechanics and Thermodynamics, Department of Mechanical Engineering, Vrije Universiteit Brussel , Brussels, Belgium .
authors.forename: Chris
authors.initials: C
authors.lastname: Lacor
authors.affiliation: 5 Radiology Department, University Hospital UZ Brussel , Vrije Universiteit Brussel, Brussels, Belgium .
authors.forename: Bart
authors.initials: B
authors.lastname: Ilsen
authors.affiliation: 5 Radiology Department, University Hospital UZ Brussel , Vrije Universiteit Brussel, Brussels, Belgium .
authors.forename: Johan
authors.initials: J
authors.lastname: de Mey
authors.affiliation: 1 Respiratory Division, University Hospital UZ Brussel , Vrije Universiteit Brussel, Brussels, Belgium .
authors.forename: Daniel
authors.initials: D
authors.lastname: Schuermans
authors.affiliation: 4 Nuclear Medicine Department, Royal Brompton Hospital , London, United Kingdom .
authors.forename: S Richard
authors.initials: SR
authors.lastname: Underwood
authors.affiliation: 3 Airway Disease Section, National Heart and Lung Institute , Imperial College London and Royal Brompton Hospital, London, United Kingdom .
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Barnes
authors.affiliation: 1 Respiratory Division, University Hospital UZ Brussel , Vrije Universiteit Brussel, Brussels, Belgium .
authors.forename: Walter
authors.initials: W
authors.lastname: Vincken
authors.affiliation: 3 Airway Disease Section, National Heart and Lung Institute , Imperial College London and Royal Brompton Hospital, London, United Kingdom .
authors.forename: Omar S
authors.initials: OS
authors.lastname: Usmani
mesh_terms: D000280:Administration, Inhalation; D000336:Aerosols; D003198:Computer Simulation; D005260:Female; D006801:Humans; D057446:Hydrodynamics; D007091:Image Processing, Computer-Assisted; D008168:Lung / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D008953:Models, Anatomic; D009038:Motion; D010316:Particle Size; D066330:Printing, Three-Dimensional; D013997:Time Factors; D014057:Tomography, X-Ray Computed
chemical_list: D000336:Aerosols
keywords: 3D printed airway model; computational fluid dynamics; radio-labeled monodisperse aerosols