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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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| Publicado no: | J Allergy Clin Immunol |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | 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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