Can computed tomography help us identify asthmatic phenotypes?

Affiliations

¹ Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, St Louis, Mo.
² Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, lowa.
³ Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, St Louis, Mo. Electronic address: castrom@wustl.edu.

Editorial

Ajay Sheshadri et al. J Allergy Clin Immunol. 2014 Mar.

. 2014 Mar;133(3):739-40.

doi: 10.1016/j.jaci.2013.12.1036. Epub 2014 Jan 25.

¹ Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, St Louis, Mo.
² Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, lowa.
³ Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, St Louis, Mo. Electronic address: castrom@wustl.edu.

No abstract available

Keywords: Endotype; asthma; biomarker; phenotype.

Comment on

Quantitative computed tomography-derived clusters: redefining airway remodeling in asthmatic patients.
Gupta S, Hartley R, Khan UT, Singapuri A, Hargadon B, Monteiro W, Pavord ID, Sousa AR, Marshall RP, Subramanian D, Parr D, Entwisle JJ, Siddiqui S, Raj V, Brightling CE. Gupta S, et al. J Allergy Clin Immunol. 2014 Mar;133(3):729-38.e18. doi: 10.1016/j.jaci.2013.09.039. Epub 2013 Nov 12. J Allergy Clin Immunol. 2014. PMID: 24238646 Free PMC article.