Literature DB >> 23971478

Relationships between airflow obstruction and quantitative CT measurements of emphysema, air trapping, and airways in subjects with and without chronic obstructive pulmonary disease.

Joyce D Schroeder1, Alexander S McKenzie, Jordan A Zach, Carla G Wilson, Douglas Curran-Everett, Douglas S Stinson, John D Newell, David A Lynch.   

Abstract

OBJECTIVE: This study evaluates the relationships between quantitative CT (QCT) and spirometric measurements of disease severity in cigarette smokers with and without chronic obstructive pulmonary disease (COPD).
MATERIALS AND METHODS: Inspiratory and expiratory CT scans of 4062 subjects in the Genetic Epidemiology of COPD (COPDGene) Study were evaluated. Measures examined included emphysema, defined as the percentage of low-attenuation areas≤-950 HU on inspiratory CT, which we refer to as "LAA-950I"; air trapping, defined as the percentage of low-attenuation areas≤-856 HU on expiratory CT, which we refer to as "LAA-856E"; and the inner diameter, inner and outer areas, wall area, airway wall thickness, and square root of the wall area of a hypothetical airway of 10-mm internal perimeter of segmental and subsegmental airways. Correlations were determined between spirometry and several QCT measures using statistics software (SAS, version 9.2).
RESULTS: QCT measurements of low-attenuation areas correlate strongly and significantly (p<0.0001) with spirometry. The correlation between LAA-856E and forced expiratory volume in 1 second (FEV1) and the ratio of FEV1 to forced vital capacity (FVC) (r=-0.77 and -0.84, respectively) is stronger than the correlation between LAA-950I and FEV1 and FEV1/FVC (r=-0.67 and r=-0.76). Inspiratory and expiratory volume changes decreased with increasing disease severity, as measured by the Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD) staging system (p<0.0001). When airway variables were included with low-attenuation area measures in a multiple regression model, the model accounted for a statistically greater proportion of variation in FEV1 and FEV1/FVC (R2=0.72 and 0.77, respectively). Airway measurements alone are less correlated with spirometric measures of FEV1 (r=0.15 to -0.44) and FEV1/FVC (r=0.19 to -0.34).
CONCLUSION: QCT measurements are strongly associated with spirometric results showing impairment in smokers. LAA-856E strongly correlates with physiologic measurements of airway obstruction. Airway measurements can be used concurrently with QCT measures of low-attenuation areas to accurately predict lung function.

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Year:  2013        PMID: 23971478      PMCID: PMC4067052          DOI: 10.2214/AJR.12.10102

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  40 in total

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5.  Spiral CT evaluation of pulmonary emphysema using a low-dose technique.

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6.  Computed tomographic measurements of airway dimensions and emphysema in smokers. Correlation with lung function.

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8.  Montelukast improves regional air-trapping due to small airways obstruction in asthma.

Authors:  M R Zeidler; E C Kleerup; J G Goldin; H J Kim; D A Truong; M D Simmons; J W Sayre; W Liu; R Elashoff; D P Tashkin
Journal:  Eur Respir J       Date:  2006-02       Impact factor: 16.671

9.  Predictors of mortality in patients with emphysema and severe airflow obstruction.

Authors:  Fernando J Martinez; Gregory Foster; Jeffrey L Curtis; Gerard Criner; Gail Weinmann; Alfred Fishman; Malcolm M DeCamp; Joshua Benditt; Frank Sciurba; Barry Make; Zab Mohsenifar; Philip Diaz; Eric Hoffman; Robert Wise
Journal:  Am J Respir Crit Care Med       Date:  2006-03-16       Impact factor: 21.405

10.  Chronic obstructive pulmonary disease surveillance--United States, 1971-2000.

Authors:  David M Mannino; David M Homa; Lara J Akinbami; Earl S Ford; Stephen C Redd
Journal:  MMWR Surveill Summ       Date:  2002-08-02
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  114 in total

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Journal:  J Thorac Dis       Date:  2015-11       Impact factor: 2.895

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Journal:  Eur Radiol       Date:  2015-12-05       Impact factor: 5.315

Review 4.  Clinical review: Endobronchial valve treatment for emphysema.

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5.  Phenotypic and genetic heterogeneity among subjects with mild airflow obstruction in COPDGene.

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7.  Biomechanical CT metrics are associated with patient outcomes in COPD.

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8.  Is severe emphysema, as defined by quantitative CT measurement, a negative risk factor of radiation fibrosis?

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9.  CT-derived Biomechanical Metrics Improve Agreement Between Spirometry and Emphysema.

Authors:  Surya P Bhatt; Sandeep Bodduluri; John D Newell; Eric A Hoffman; Jessica C Sieren; Meilan K Han; Mark T Dransfield; Joseph M Reinhardt
Journal:  Acad Radiol       Date:  2016-04-04       Impact factor: 3.173

10.  Quantitative Imaging Markers of Lung Function in a Smoking Population Distinguish COPD Subgroups with Differential Lung Cancer Risk.

Authors:  Christine M Lusk; Angela S Wenzlaff; Donovan Watza; Jessica C Sieren; Natasha Robinette; Garrett Walworth; Michael Petrich; Christine Neslund-Dudas; Michael J Flynn; Thomas Song; David Spizarny; Michael J Simoff; Ayman O Soubani; Shirish Gadgeel; Ann G Schwartz
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-01-14       Impact factor: 4.254

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