Quantitative computed tomography imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes

BACKGROUND: Imaging variables including airway diameter, wall thickness and air-trapping have been found to be important metrics when differentiating severe asthmatics from nonsevere asthmatics and healthy subjects. OBJECTIVE: The objective of this study was to identify imaging-based clusters and to...

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Pubblicato in:J Allergy Clin Immunol
Autori principali: Choi, Sanghun, Hoffman, Eric A., Wenzel, Sally E., Castro, Mario, Fain, Sean, Jarjour, Nizar, Schiebler, Mark L., Chen, Kun, Lin, Ching-Long
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2017
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5534190/
https://ncbi.nlm.nih.gov/pubmed/28143694
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jaci.2016.11.053
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