Identification of Early Interstitial Lung Disease in Smokers from the COPDGene Study
Rationale and Objectives
The aim of this study is to compare two subjective methods for the identification of changes suggestive of early interstitial lung disease (ILD) on chest computed tomographic (CT) scans.
Materials and Methods
The CT scans of the first 100 subjects enrolled in the COPDGene Study from a single institution were examined using a sequential reader and a group consensus interpretation scheme. CT scans were evaluated for the presence of parenchymal changes consistent with ILD using the following scoring system: 0 = normal, 1 = equivocal for the presence of ILD, 2 = highly suspicious for ILD, and 3 = classic ILD changes. A statistical comparison of patients with early ILD to normal subjects was performed.
Results
There was a high degree of agreement between methods (κ = 0.84; 95% confidence interval, 0.73–0.94; P < .0001 for the sequential and consensus methods). The sequential reading method had both high positive (1.0) and negative (0.97) predictive values for a consensus read despite a 58% reduction in the number of chest CT evaluations. Regardless of interpretation method, the prevalence of chest CT changes consistent with early ILD in this subset of smokers from COPDGene varied between 5% and 10%. Subjects with early ILD tended to have greater tobacco smoke exposure than subjects without early ILD (P = .053).
Conclusions
A sequential CT interpretation scheme is an efficient method for the visual interpretation of CT data. Further investigation is required to independently confirm our findings and further characterize early ILD in smokers.
Key Words: Early interstitial lung disease, CT scan, smoker
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COPDGene is supported by grants U01 HL089897 and U01 HL089856 from the National Institutes of Health (NIH; Bethesda, MD). Dr Washko is supported by grant K23 HL089353 from the NIH and an award from the Parker B. Francis Foundation (Kansas City, MO). Dr Hunninghake is supported by grant K08 HL092222 from the NIH. Dr Rosas is supported by grant HL087030 from the NIH. Dr Hatabu is supported by grant 5R21CA116271-2 from the NIH
PII: S1076-6332(09)00414-0
doi:10.1016/j.acra.2009.07.016
© 2010 AUR. Published by Elsevier Inc. All rights reserved.
