Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/28460
Title: Quantitative computed tomography–derived clusters : Redefining airway remodeling in asthmatic patients
Authors: Gupta, Sumit
Hartley, Ruth
Khan, Umair T.
Singapuri, Amisha
Hargadon, Beverly
Monteiro, William
Pavord, Ian D.
Sousa, Ana R.
Marshall, Richard P.
Subramanian, Deepak
Parr, David
Entwisle, James J.
Siddiqui, Salman
Raj, Vimal
Brightling, Christopher E.
First Published: 12-Nov-2013
Publisher: Elsevier on behalf of the American Academy of Allergy, Asthma and Immunology
Citation: Journal of Allergy and Clinical Immunology, 2014, 133 (3), pp. 729-738.e18
Abstract: Background - Asthma heterogeneity is multidimensional and requires additional tools to unravel its complexity. Computed tomography (CT)–assessed proximal airway remodeling and air trapping in asthmatic patients might provide new insights into underlying disease mechanisms. Objectives - The aim of this study was to explore novel, quantitative, CT-determined asthma phenotypes. Methods - Sixty-five asthmatic patients and 30 healthy subjects underwent detailed clinical, physiologic characterization and quantitative CT analysis. Factor and cluster analysis techniques were used to determine 3 novel, quantitative, CT-based asthma phenotypes. Results - Patients with severe and mild-to-moderate asthma demonstrated smaller mean right upper lobe apical segmental bronchus (RB1) lumen volume (LV) in comparison with healthy control subjects (272.3 mm³ [SD, 112.6 mm³], 259.0 mm³ [SD, 53.3 mm³], 366.4 mm³ [SD, 195.3 mm³], respectively; P = .007) but no difference in RB1 wall volume (WV). Air trapping measured based on mean lung density expiratory/inspiratory ratio was greater in patients with severe and mild-to-moderate asthma compared with that seen in healthy control subjects (0.861 [SD, 0.05)], 0.866 [SD, 0.07], and 0.830 [SD, 0.06], respectively; P = .04). The fractal dimension of the segmented airway tree was less in asthmatic patients compared with that seen in control subjects (P = .007). Three novel, quantitative, CT-based asthma clusters were identified, all of which demonstrated air trapping. Cluster 1 demonstrates increased RB1 WV and RB1 LV but decreased RB1 percentage WV. On the contrary, cluster 3 subjects have the smallest RB1 WV and LV values but the highest RB1 percentage WV values. There is a lack of proximal airway remodeling in cluster 2 subjects. Conclusions - Quantitative CT analysis provides a new perspective in asthma phenotyping, which might prove useful in patient selection for novel therapies.
DOI Link: 10.1016/j.jaci.2013.09.039
ISSN: 0091-6749
eISSN: 1097-6825
Links: http://www.sciencedirect.com/science/article/pii/S0091674913014887
http://hdl.handle.net/2381/28460
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2013 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Infection, Immunity and Inflammation

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