Severe Asthma Research Program - Phenotyping and Quantification of Severe Asthma

S. B. Fain; E. T. Peterson; R. L. Sorkness; S. Wenzel; M. Castro; W. W. Busse

doi:10.1111/j.1617-0830.2009.01124.x

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Severe Asthma Research Program - Phenotyping and Quantification of Severe Asthma

Journal article

Peer reviewed

Severe Asthma Research Program - Phenotyping and Quantification of Severe Asthma

S. B. Fain, E. T. Peterson, R. L. Sorkness, S. Wenzel, M. Castro and W. W. Busse

Imaging decisions MRI, Vol.13(1), pp.24-27

03/2009

DOI: 10.1111/j.1617-0830.2009.01124.x

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Abstract

A unique multi-center consortium of research centers, the severe asthma research program (SARP), is working to define asthma phenotypes, with a particular focus on severe asthma due to the higher prevalence of exacerbations and hospital visits in these patients. The consortium includes comprehensive studies of physiology, genotype, and inflammatory biomakers in addition to a lung imaging substudy in nearly 400 subjects. The imaging substudy is comparing quantitative computed tomography (CT) measures of airway morphology and parenchymal density to asthma severity and other makers of asthma. Results show increased wall thickness and increased regional air trapping in severe versus non-severe asthma. Image-guided bronchoscopic assessment using either CT or hyperpolarized gas magnetic resonance imaging (MRI) shows that highly diseased airways have increased wall thickness on histology and greater inflammatory cell numbers. Large scale imaging studies such as SARP may provide a means to better understand and guide effective treatment of severe asthma. © 2009 Blackwell Publishing Ltd.

Asthma

Airway obstruction

fast MRI

hyperpolarized gas

quantitative CT

severe asthma

ventilation

Details

Title: Subtitle: Severe Asthma Research Program - Phenotyping and Quantification of Severe Asthma
Creators: S. B. Fain - University of Wisconsin–Madison
E. T. Peterson - University of Wisconsin–Madison
R. L. Sorkness - University of Wisconsin–Madison
S. Wenzel - University of Pittsburgh
M. Castro - Washington University in St. Louis
W. W. Busse - University of Wisconsin–Madison
Resource Type: Journal article
Publication Details: Imaging decisions MRI, Vol.13(1), pp.24-27
Publisher: Blackwell Publishing Ltd
DOI: 10.1111/j.1617-0830.2009.01124.x
ISSN: 1433-3317
eISSN: 1617-0830
Number of pages: 4
Language: English
Date published: 03/2009
Academic Unit: Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Health and Human Physiology; Radiology
Record Identifier: 9984274955102771

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