Article
Quantitative computed tomographic imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes.
The Journal of allergy and clinical immunology - 1 Sept 2017
Choi Sanghun, Hoffman Eric A, Wenzel Sally E, Castro Mario, Fain Sean, Jarjour Nizar, Schiebler Mark L, Chen Kun, Lin Ching-Long
Abstract excerpt
BACKGROUND: Imaging variables, including airway diameter, wall thickness, and air trapping, have been found to be important metrics when differentiating patients with severe asthma from those with nonsevere asthma and healthy subjects. OBJECTIVE: The objective of this study was to identify imaging-based clusters and to explore the association of the clusters with existing clinical metrics. METHODS: We performed...
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