Journal article
Imaging Advances in Chronic Obstructive Pulmonary Disease. Insights from the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) Study
American journal of respiratory and critical care medicine, Vol.199(3), pp.286-301
02/01/2019
DOI: 10.1164/rccm.201807-1351SO
PMCID: PMC6363977
PMID: 30304637
Abstract
The Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) study, which began in 2007, is an ongoing multicenter observational cohort study of more than 10,000 current and former smokers. The study is aimed at understanding the etiology, progression, and heterogeneity of chronic obstructive pulmonary disease (COPD). In addition to genetic analysis, the participants have been extensively characterized by clinical questionnaires, spirometry, volumetric inspiratory and expiratory computed tomography, and longitudinal follow-up, including follow-up computed tomography at 5 years after enrollment. The purpose of this state-of-the-art review is to summarize the major advances in our understanding of COPD resulting from the imaging findings in the COPDGene study. Imaging features that are associated with adverse clinical outcomes include early interstitial lung abnormalities, visual presence and pattern of emphysema, the ratio of pulmonary artery to ascending aortic diameter, quantitative evaluation of emphysema, airway wall thickness, and expiratory gas trapping. COPD is characterized by the early involvement of the small conducting airways, and the addition of expiratory scans has enabled measurement of small airway disease. Computational advances have enabled indirect measurement of nonemphysematous gas trapping. These metrics have provided insights into the pathogenesis and prognosis of COPD and have aided early identification of disease. Important quantifiable extrapulmonary findings include coronary artery calcification, cardiac morphology, intrathoracic and extrathoracic fat, and osteoporosis. Current active research includes identification of novel quantitative measures for emphysema and airway disease, evaluation of dose reduction techniques, and use of deep learning for phenotyping COPD.
Details
- Title: Subtitle
- Imaging Advances in Chronic Obstructive Pulmonary Disease. Insights from the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) Study
- Creators
- Surya P Bhatt - University of Alabama at BirminghamGeorge R Washko - 2 Division of Pulmonary and Critical Care Medicine.Eric A Hoffman - University of IowaJohn D Jr Newell - 3 Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IowaSandeep Bodduluri - University of Alabama at BirminghamAlejandro A Diaz - 2 Division of Pulmonary and Critical Care Medicine.Craig J Galban - University of Michigan–Ann ArborEdwin K Silverman - Harvard Medical SchoolRaúl San José Estépar - Brigham and Women's HospitalDavid A Lynch - National Jewish HealthCOPDGene Investigators
- Resource Type
- Journal article
- Publication Details
- American journal of respiratory and critical care medicine, Vol.199(3), pp.286-301
- DOI
- 10.1164/rccm.201807-1351SO
- PMID
- 30304637
- PMCID
- PMC6363977
- ISSN
- 1073-449X
- eISSN
- 1535-4970
- Grant note
- P30 ES005605 / NIEHS NIH HHS K01 HL118714 / NHLBI NIH HHS U01 HL089856 / NHLBI NIH HHS U01 HL089897 / NHLBI NIH HHS K23 HL133438 / NHLBI NIH HHS R01 HL133137 / NHLBI NIH HHS P30 DK054759 / NIDDK NIH HHS
- Language
- English
- Date published
- 02/01/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318700402771
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