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

Babak Haghighi; Sanghun Choi; Jiwoong Choi; Eric A Hoffman; Alejandro P Comellas; John D Jr 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 III; Stephen I Rennard; Benjamin M Smith; Prescott G Woodruff; Ching-Long Lin

doi:10.1186/s12931-019-1121-z

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

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

Babak Haghighi, Sanghun Choi, Jiwoong Choi, Eric A Hoffman, Alejandro P Comellas, John D Jr Newell, Chang Hyun Lee, R Graham Barr, Eugene Bleecker, Christopher B Cooper, …

Respiratory research, Vol.20(1), pp.153-153

07/15/2019

DOI: 10.1186/s12931-019-1121-z

PMCID: PMC6631615

PMID: 31307479

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Abstract

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 clustering methods to develop a new way of COPD phenotyping. An imaging-based cluster analysis was performed for 406 former smokers with a comprehensive set of imaging metrics including 75 imaging-based metrics. They consisted of structural and functional variables at 10 segmental and 5 lobar locations. The structural variables included lung shape, branching angle, airway-circularity, airway-wall-thickness, airway diameter; the functional variables included regional ventilation, emphysema percentage, functional small airway disease percentage, Jacobian (volume change), anisotropic deformation index (directional preference in volume change), and tissue fractions at inspiration and expiration. We derived four distinct imaging-based clusters as possible phenotypes with the sizes of 100, 80, 141, and 85, respectively. Cluster 1 subjects were asymptomatic and showed relatively normal airway structure and lung function except airway wall thickening and moderate emphysema. Cluster 2 subjects populated with obese females showed an increase of tissue fraction at inspiration, minimal emphysema, and the lowest progression rate of emphysema. Cluster 3 subjects populated with older males showed small airway narrowing and a decreased tissue fraction at expiration, both indicating air-trapping. Cluster 4 subjects populated with lean males were likely to be severe COPD subjects showing the highest progression rate of emphysema. QCT imaging-based metrics for former smokers allow for the derivation of statistically stable clusters associated with unique clinical characteristics. This approach helps better categorization of COPD sub-populations; suggesting possible quantitative structural and functional phenotypes.

Aged

Cohort Studies

Cross-Sectional Studies

Female

Forced Expiratory Volume

Humans

Imaging, Three-Dimensional - methods

Male

Middle Aged

Outcome Assessment, Health Care

Pulmonary Disease, Chronic Obstructive - diagnostic imaging

Pulmonary Disease, Chronic Obstructive - epidemiology

Pulmonary Disease, Chronic Obstructive - physiopathology

Smoking - epidemiology

Smoking - physiopathology

Tomography, X-Ray Computed - methods

Details

Title: Subtitle: Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and intermediate outcome measures in COPD study (SPIROMICS)
Creators: Babak Haghighi - University of Iowa
Sanghun Choi - Kyungpook National University
Jiwoong Choi - University of Iowa
Eric A Hoffman - University of Iowa
Alejandro P Comellas - University of Iowa
John D Jr Newell - University of Iowa
Chang Hyun Lee - Seoul National University
R Graham Barr - Columbia University
Eugene Bleecker - University of Arizona
Christopher B Cooper - University of California, Los Angeles
David Couper - University of North Carolina at Chapel Hill
Mei Lan Han - University of Michigan
Nadia N Hansel - Johns Hopkins University
Richard E Kanner - University of Utah
Ella A Kazerooni - University of Michigan
Eric A C Kleerup - Department of Medicine, UCLA, Los Angeles, CA, USA
Fernando J Martinez - Cornell University
Wanda O'Neal - School of Medicine, University of North Carolina, Chapel Hill, NC, USA
Robert Paine III - University of Utah
Stephen I Rennard - University of Nebraska Medical Center
Benjamin M Smith - McGill University
Prescott G Woodruff - University of California, San Francisco
Ching-Long Lin - 2406 Seamans Center for the Engineering Art and Science, Iowa City, Iowa, 52242, USA. ching-long-lin@uiowa.edu
Resource Type: Journal article
Publication Details: Respiratory research, Vol.20(1), pp.153-153
DOI: 10.1186/s12931-019-1121-z
PMID: 31307479
PMCID: PMC6631615
NLM abbreviation: Respir Res
ISSN: 1465-9921
eISSN: 1465-993X
Grant note: P30 ES005605 / NIEHS NIH HHS U24 HL141762 / NHLBI NIH HHS U01 HL137880 / NHLBI NIH HHS NIH grants U01-HL114494, R01-HL112986 and S10-RR022421 / NIH HHS S10 OD018526 / NIH HHS R01 HL130506 / NHLBI NIH HHS P30 ES006694 / NIEHS NIH HHS R01 HL112986 / NHLBI NIH HHS P30 CA086862 / NCI NIH HHS K24 HL137013 / NHLBI NIH HHS
Language: English
Date published: 07/15/2019
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Pulmonary, Critical Care, and Occupational Medicine; ICTS; IIHR--Hydroscience and Engineering; Mechanical Engineering; Internal Medicine
Record Identifier: 9984195167802771

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