Document Type
Article
Journal Title
Respiratory Research
Publication Date
2018
Volume
19
Abstract
BACKGROUND: Classification of COPD is usually based on the severity of airflow, which may not sensitively differentiate subpopulations. Using a multiscale imaging-based cluster analysis (MICA), we aim to identify subpopulations for current smokers with COPD.
METHODS: Among the SPIROMICS subjects, we analyzed computed tomography images at total lung capacity (TLC) and residual volume (RV) of 284 current smokers. Functional variables were derived from registration of TLC and RV images, e.g. functional small airways disease (fSAD%). Structural variables were assessed at TLC images, e.g. emphysema and airway wall thickness and diameter. We employed an unsupervised method for clustering.
RESULTS: Four clusters were identified. Cluster 1 had relatively normal airway structures; Cluster 2 had an increase of fSAD% and wall thickness; Cluster 3 exhibited a further increase of fSAD% but a decrease of wall thickness and airway diameter; Cluster 4 had a significant increase of fSAD% and emphysema. Clinically, Cluster 1 showed normal FEV1/FVC and low exacerbations. Cluster 4 showed relatively low FEV1/FVC and high exacerbations. While Cluster 2 and Cluster 3 showed similar exacerbations, Cluster 2 had the highest BMI among all clusters.
CONCLUSIONS: Association of imaging-based clusters with existing clinical metrics suggests the sensitivity of MICA in differentiating subpopulations.
MeSH Headings
Adult, Aged, Cluster Analysis, Cohort Studies, Cross-Sectional Studies, Female, Forced Expiratory Volume, Humans, Male, Middle Aged, Outcome Assessment, Health Care, Pulmonary Disease, Chronic Obstructive, Smokers, Tomography, X-Ray Computed
DOI Link
ISSN
1465-993X
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Haghighi, Babak; Choi, Sanghun; Choi, Jiwoong; Hoffman, Eric A.; Comellas, Alejandro P.; Newell, John D.; Barr, R. Graham; Bleecker, Eugene; Cooper, Christopher B.; Couper, David; Han, Mei Lan; Hansel, Nadia N.; Kanner, Richard E.; Kazerooni, Ella A.; Kleerup, Eric A.C.; Martinez, Fernando J.; O'Neal, Wanda; Rennard, Stephen I.; Woodruff, Prescott G.; and Lin, Ching-Long, "Imaging-Based Clusters in Current Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)" (2018). Journal Articles: Pulmonary & Critical Care Med. 41.
https://digitalcommons.unmc.edu/com_pulm_articles/41
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