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Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD
Firdaus A A Mohamed Hoesein1, Michael Schmidt2, Onno M Mets1
1Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Respiratory Medicine
|September 17, 2013
Summary
Computed tomography (CT) measures can identify distinct disease phenotypes in male smokers with COPD. These findings may help optimize treatment and prognosis for different COPD patient groups.
Area of Science:
- Pulmonary Medicine
- Radiology
- Medical Imaging
Background:
- Identifying phenotypes in Chronic Obstructive Pulmonary Disease (COPD) is crucial for tailoring treatment and improving patient prognosis.
- This study investigated the ability to differentiate between emphysematous, large airway wall thickening, and small airways disease dominant phenotypes in COPD patients.
Purpose of the Study:
- To determine if distinct phenotypes (emphysema, airway wall thickening, air trapping) can be identified in male smokers with mild COPD using CT imaging.
- To correlate these CT-defined phenotypes with clinical characteristics and spirometry findings.
Main Methods:
- 1140 male smokers underwent inspiratory and expiratory CT scans to quantify emphysema, airway wall thickness, and air trapping.
- Spirometry, residual volume to total lung capacity (RV/TLC), and diffusion capacity (Kco) were measured.
- Dominant phenotypes were defined by CT measures in the upper quartile, with other measures not in the upper quartile.
Main Results:
- Of 573 subjects with upper quartile CT measures, 367 (64%) had a single dominant phenotype and 206 (36%) had mixed phenotypes.
- Airway wall thickening dominance was linked to younger age, higher BMI, more wheezing, and lower FEV1 %predicted.
- Emphysema dominance was associated with lower FEV1/FVC and Kco %predicted.
Conclusions:
- Computed tomography (CT) imaging can effectively discriminate between three distinct disease-dominant phenotypes in male smokers with mild COPD.
- These CT-based phenotyping capabilities may aid in personalized treatment strategies and prognostic assessments for COPD patients.
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