Erschienen in:
01.12.2012
Early Identification of Small Airways Disease on Lung Cancer Screening CT: Comparison of Current Air Trapping Measures
verfasst von:
Onno M. Mets, Pieter Zanen, Jan-Willem J. Lammers, Ivana Isgum, Hester A. Gietema, Bram van Ginneken, Mathias Prokop, Pim A. de Jong
Erschienen in:
Lung
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Ausgabe 6/2012
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Abstract
Background
Lung cancer screening CT scans might provide valuable information about air trapping as an early indicator of smoking-related lung disease. We studied which of the currently suggested measures is most suitable for detecting functionally relevant air trapping on low-dose computed tomography (CT) in a population of subjects with early-stage disease.
Methods
This study was ethically approved and informed consent was obtained. Three quantitative CT air trapping measures were compared against a functional reference standard in 427 male lung cancer screening participants. This reference standard for air trapping was derived from the residual volume over total lung capacity ratio (RV/TLC) beyond the 95th percentile of predicted. The following CT air trapping measures were compared: expiratory to inspiratory relative volume change of voxels with attenuation values between −860 and −950 Hounsfield Units (RVC−860 to −950), expiratory to inspiratory ratio of mean lung density (E/I-ratioMLD) and percentage of voxels below −856 HU in expiration (EXP−856). Receiver operating characteristic (ROC) analysis was performed and area under the ROC curve compared.
Results
Functionally relevant air trapping was present in 38 (8.9 %) participants. E/I-ratioMLD showed the largest area under the curve (0.85, 95 % CI 0.813–0.883), which was significantly larger than RVC−860 to −950 (0.703, 0.657–0.746; p < 0.001) and EXP−856 (0.798, 0.757–0.835; p = 0.002). At the optimum for sensitivity and specificity, E/I-ratioMLD yielded an accuracy of 81.5 %.
Conclusions
The expiratory to inspiratory ratio of mean lung density (E/I-ratioMLD) is most suitable for detecting air trapping on low-dose screening CT and performs significantly better than other suggested quantitative measures.