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Quantitative Computed Tomography Detects Peripheral Airway Disease in Asthmatic Children by Neal Jain; Ronina A. Covar; Melanie C. Gleason; John D. Newell Jr.; Erwin W. Gelfand; Joseph D. Spahn is a Medicine article available to read on EtoBox.

What is Quantitative Computed Tomography Detects Peripheral Airway Disease in Asthmatic Children about?

The aim of this study was to compare air-trapping as quantified by high-resolution computed tomography (HRCT) of the chest with measures of lung function and airway inflammation in children with mild to moderate asthma. Plethysmography indices, respiratory resistance, and reactance before and after bronchodilator with impulse oscillation (IOS), exhaled nitric oxide (eNO), total eosinophil count (TEC), and serum eosinophil cationic protein (ECP) levels were measured in 21 subjects. A single-cut HRCT image at end-expiration was obtained. Air-trapping was quantified and expressed in terms of the pixel index (PI) by determining the percentage of pixels in lung fields below -856 and -910 Hounsfeld units (HU). Pairwise linear correlations between PI and other parameters were evaluated. Subjects had only mild airflow limitation based on prebronchodilator forced expiratory volume in 1 sec (FEV(1)), but were hyperinflated and had air-trapping based on elevated total lung capacity (TLC) and residual volume (RV)/TLC ratio, respectively. The PI at -856 HU was positively correlated with % predicted TLC, total gas volume (TGV), and ECP level, and was inversely correlated with FEV(1)/forced vital

Who reads Quantitative Computed Tomography Detects Peripheral Airway Disease in Asthmatic Children?

Author

Neal Jain; Ronina A. Covar; Melanie C. Gleason; John D. Newell Jr.; Erwin W. Gelfand; Joseph D. Spahn

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 8755-6863)

Published

2005

Language

EN

Field

Medicine (Health Sciences)