12 March 2008 The relation of airway size to lung function
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Abstract
Chronic obstructive pulmonary disease may cause airway remodeling, and small airways are the mostly likely site of associated airway flow obstruction. Detecting and quantifying airways depicted on a typical computed tomography (CT) images is limited by spatial resolution. In this study, we examined the association between lung function and airway size. CT examinations and spirometry measurement of forced expiratory volume in one second as a percent predicted (FEV1%) from 240 subjects were used in this study. Airway sections depicted in axial CT section were automatically detected and quantified. Pearson correlation coefficients (PCC) were computed to compare lung function across three size categories: (1) all detected airways, (2) the smallest 50% of detected airways, and (3) the largest 50% of detected airways using the CORANOVA test. The mean number of all airways detected per subject was 117.4 (± 40.1) with mean size ranging from 20.2 to 50.0 mm2. The correlation between lung function (i.e., FEV1) and airway morphometry associated with airway remodeling and airflow obstruction (i.e., lumen perimeter and wall area as a percent of total airway area) was significantly stronger for smaller compared to larger airways (p < 0.05). The PCCs between FEV1 and all airways, the smallest 50%, and the largest 50% were 0.583, 0.617, 0.523, respectively, for lumen perimeter and -0.560, -0.584, and -0.514, respectively, for wall area percent. In conclusion, analyzing a set of smaller airways compared to larger airways may improve detection of an association between lung function and airway morphology change.
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J. Ken Leader, J. Ken Leader, Bin Zheng, Bin Zheng, Frank C. Sciurba, Frank C. Sciurba, Carl R. Fuhrman, Carl R. Fuhrman, Jessica M. Bon, Jessica M. Bon, Sang C. Park, Sang C. Park, Jiantao Pu, Jiantao Pu, David Gur, David Gur, } "The relation of airway size to lung function", Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 691623 (12 March 2008); doi: 10.1117/12.770886; https://doi.org/10.1117/12.770886
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