Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and intermediate outcome measures in COPD study (SPIROMICS)

Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and intermediate outcome measures in COPD study (SPIROMICS)

Abstract Background Quantitative computed tomographic (QCT) imaging-based metrics enable to quantify smoking induced disease alterations and to identify imaging-based clusters for current smokers. We aimed to derive clinically meaningful sub-groups of former smokers using dimensional reduction and c...

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Bibliographic Details
Main Authors: Babak Haghighi, Sanghun Choi, Jiwoong Choi, Eric A. Hoffman, Alejandro P. Comellas, John D. Newell, Chang Hyun Lee, R. Graham Barr, Eugene Bleecker, Christopher B. Cooper, David Couper, Mei Lan Han, Nadia N. Hansel, Richard E. Kanner, Ella A. Kazerooni, Eric A. C. Kleerup, Fernando J. Martinez, Wanda O’Neal, Robert Paine, Stephen I. Rennard, Benjamin M. Smith, Prescott G. Woodruff, Ching-Long Lin
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Respiratory Research
Subjects:
COPD
Emphysema
Functional small airway disease
Former smokers
Imaging-based cluster analysis
Online Access:http://link.springer.com/article/10.1186/s12931-019-1121-z

Internet

http://link.springer.com/article/10.1186/s12931-019-1121-z

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