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Characterization of acinar airspace involvement in asthmatic patients by using inert gas washout and hyperpolarized 3helium magnetic resonance

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posted on 2015-07-02, 15:14 authored by Sherif Gonem, S. Hardy, N. Buhl, Ruth Hartley, Marcia Soares, R. Kay, R. Costanza, P. Gustafsson, Christopher E. Brightling, J. Owers-Bradley, Salman Siddiqui
Background The multiple breath washout (MBW) parameter Sacin is thought to be a marker of acinar airway involvement, but has not been validated using quantitative imaging techniques in asthma. Objective We aimed to utilise 3He diffusion magnetic resonance ( 3 He-MR) at multiple diffusion timescales and quantitative computed tomography (CT) densitometry to determine the nature of acinar airway involvement in asthma. Methods Thirty-seven patients with asthma and seventeen age-matched healthy controls underwent spirometry, body plethysmography, MBW (using the tracer gas sulphur hexafluoride) and He-MR. A subset of patients with asthma (n = 27) underwent quantitative CT densitometry. Results Ninety-four percent (16/17) of patients with an elevated Sacin had GINA treatment steps 4/5 asthma and 13/17 had refractory disease. The apparent diffusion coefficient (ADC) of 3 He at 1s was significantly higher in patients with Sacin-high asthma compared to healthy controls (0.024 vs 0.017, p < 0.05). Sacin correlated strongly with ADC at 1s (R = 0.65, p < 0.001), but weakly with ADC at 13ms (R = 0.38, p < 0.05). ADC at both 13ms and 1s correlated strongly with the mean lung density expiratory / inspiratory ratio, a CT marker of expiratory air trapping (R = 0.77, p < 0.0001 for ADC at 13ms; R = 0.72, p < 0.001 for ADC at 1s). Conclusion Sacin is associated with alterations in long-range diffusion within the acinar airways and gas trapping. The precise anatomical nature and mechanistic role in severe asthma requires further evaluation.

Funding

This paper presents independent research funded by the National Institute for Health Research (NIHR). This work was partly funded through research collaborations with Chiesi Farmaceutici S. P. A. and Novartis Pharmaceuticals. Additional funding was received from the Airway Disease PRedicting Outcomes through Patient Specific Computational Modelling (AirPROM) project (funded through an FP7 European Union grant).

History

Citation

Journal of Allergy and Clinical Immunology, 2016, 137(2) pp.417–425

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Infection, Immunity and Inflammation

Version

  • AM (Accepted Manuscript)

Published in

Journal of Allergy and Clinical Immunology

Publisher

Elsevier for American Academy of Allergy, Asthma and Immunology, Mosby

issn

0091-6749

eissn

1097-6825

Copyright date

2015

Available date

2017-02-25

Publisher version

http://www.sciencedirect.com/science/article/pii/S0091674915008805

Language

en

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