Journal article
Differences in Particle Deposition Between Members of Imaging-Based Asthma Clusters
Journal of aerosol medicine and pulmonary drug delivery, Vol.32(4), pp.213-223
08/01/2019
DOI: 10.1089/jamp.2018.1487
PMID: 30888242
Abstract
Background:
Four computed tomography (CT) imaging-based clusters have been identified in a study of the Severe Asthma Research Program (SARP) cohort and have been significantly correlated with clinical and demographic metrics (
J Allergy Clin Immunol
2017; 140:690–700.e8). We used a computational fluid dynamics (CFD) model to investigate air flow and aerosol deposition within imaging archetypes representative of the four clusters.
Methods:
CFD simulations for air flow and 1–8 μm particle transport were performed using CT-based airway models from two healthy subjects and eight asthma subjects. The subject selection criterion was based on the discriminant imaging-based flow-related variables of
J
(Total) (average local volume expansion in the total lung) and
D
h
*(sLLL) (normalized airway hydraulic diameter in the left lower lobe), where reduced
J
(Total) and
D
h
*(sLLL) indicate reduced regional ventilation and airway constriction, respectively. The analysis focused on the comparisons between all clusters with respect to healthy subjects, between cluster 2 and cluster 4 (nonsevere and severe asthma clusters with airway constriction) and between cluster 3 and cluster 4 (two severe asthma clusters characterized by normal and constricted airways, respectively).
Results:
Nonsevere asthma cluster 2 and severe asthma cluster 4 subjects characterized by airway constriction had an increase in the deposition fraction (DF) in the left lower lobe. Constricted flows impinged on distal bifurcations resulting in large depositions. Although both cluster 3 (without constriction) and cluster 4 (with constriction) were severe asthma, they exhibited different particle deposition patterns with increasing particle size. The statistical analysis showed that
D
h
*(sLLL) plays a more important role in particle deposition than
J
(Total), and regional flow fraction is correlated with DF among lobes for smaller particles.
Conclusions:
We demonstrated particle deposition characteristics associated with cluster-specific imaging-based metrics such as airway constriction, which could pertain to the design of future drug delivery improvements.
Details
- Title: Subtitle
- Differences in Particle Deposition Between Members of Imaging-Based Asthma Clusters
- Creators
- Jiwoong Choi - University of IowaLawrence J LeBlanc - University of IowaSanghun Choi - Kyungpook National UniversityBabak Haghighi - University of IowaEric A Hoffman - University of IowaPatrick O'Shaughnessy - University of IowaSally E Wenzel - University of PittsburghMario Castro - Washington University in St. LouisSean Fain - University of Wisconsin–MadisonNizar Jarjour - University of Wisconsin–MadisonMark L Schiebler - University of Wisconsin–MadisonLoren Denlinger - University of Wisconsin–MadisonRenishkumar Delvadia - Center for Drug Evaluation and ResearchRoss Walenga - Center for Drug Evaluation and ResearchAndrew Babiskin - Center for Drug Evaluation and ResearchChing-Long Lin - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of aerosol medicine and pulmonary drug delivery, Vol.32(4), pp.213-223
- DOI
- 10.1089/jamp.2018.1487
- PMID
- 30888242
- NLM abbreviation
- J Aerosol Med Pulm Drug Deliv
- ISSN
- 1941-2711
- eISSN
- 1941-2703
- Publisher
- Mary Ann Liebert, Inc., publishers
- Language
- English
- Date published
- 08/01/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Civil and Environmental Engineering; Occupational and Environmental Health; Iowa Neuroscience Institute; IIHR--Hydroscience and Engineering; Health, Sport, and Human Physiology ; Mechanical Engineering; Internal Medicine
- Record Identifier
- 9984196559402771
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