Relationship between lung function and quantitative computed tomographic parameters of airway remodeling, air trapping, and emphysema in patients with.

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Relationship between lung function and quantitative computed tomographic parameters of airway remodeling, air trapping, and emphysema in patients with asthma and chronic obstructive pulmonary disease: A single-center study Ruth A. Hartley, MBcHB, MRCS, Bethan L. Barker, MBBS, MRCP, Chris Newby, PhD, Mini Pakkal, FRCR, Simonetta Baldi, MD, PhD, Radhika Kajekar, PhD, Richard Kay, PhD, Marie Laurencin, PhD, Richard P. Marshall, PhD, MRCP, Ana R. Sousa, PhD, Harsukh Parmar, PhD, Salman Siddiqui, PhD, MRCP, Sumit Gupta, PhD, FRCR, MRCP, Chris E. Brightling, PhD, FRCP Journal of Allergy and Clinical Immunology Volume 137, Issue 5, Pages 1413-1422.e12 (May 2016) DOI: 10.1016/j.jaci.2016.02.001 Copyright © 2016 The Authors Terms and Conditions

Fig 1 Dot plots of airway morphometric and densitometric QCT parameters for all asthmatic patients, patients with COPD, and healthy control subjects: A, mean %WA; B, mean LA/BSA; C, MLDE/I; D, densitometry (Perc15); and E, fractal index (LAC-D−950). Journal of Allergy and Clinical Immunology 2016 137, 1413-1422.e12DOI: (10.1016/j.jaci.2016.02.001) Copyright © 2016 The Authors Terms and Conditions

Fig 2 Scatter plot and linear regression of asthmatic patients (gray circles) and patients with COPD (black squares) showing the relationship between FEV1 percent predicted values and the QCT morphometric and densitometric measures: A, mean %WA; B, mean LA/BSA; C, MLDE/I; and D, densitometry (Perc15). Journal of Allergy and Clinical Immunology 2016 137, 1413-1422.e12DOI: (10.1016/j.jaci.2016.02.001) Copyright © 2016 The Authors Terms and Conditions

Fig 3 Dot plots of airway morphometric and densitometric QCT parameters for asthmatic patients (black circles, FEV1 percent predicted <50%; gray circles, 50% to 80%; open circles, >80%), patients with COPD (black squares, FEV1 percent predicted <50%; gray squares, 50% to 80%), and healthy control subjects (open triangles): A, mean %WA; B, mean LA/BSA; C, MLDE/I; D, densitometry (Perc15); and E, fractal index (LAC-D−950). Journal of Allergy and Clinical Immunology 2016 137, 1413-1422.e12DOI: (10.1016/j.jaci.2016.02.001) Copyright © 2016 The Authors Terms and Conditions

Fig E1 Visual representation of QCT parameters with CT inspiratory and expiratory axial slices (first 2 columns) illustrates qualitative differences of increased inspiratory volume, emphysema, and air trapping in patients with disease versus healthy control subjects. Column 3 shows airways grown by the postprocessing software, which are reduced in patients with disease. The fourth column shows low attenuating clusters (LACs) of less than −950 HU in inspiration, representing areas of emphysema, and the final column shows the LACs of less than −856 in expiration, representing areas of air trapping. Journal of Allergy and Clinical Immunology 2016 137, 1413-1422.e12DOI: (10.1016/j.jaci.2016.02.001) Copyright © 2016 The Authors Terms and Conditions

Fig E2 Scatter plot and linear regression of subjects with an FEV1 percent predicted value of less than 80% with asthma (gray circles) and COPD (black squares), showing the relationship between FEV1 percent predicted and QCT morphometric and densitometric measures: A, mean %WA; B, mean LA/BSA; C, MLDE/I; and D, densitometry (Perc15). Journal of Allergy and Clinical Immunology 2016 137, 1413-1422.e12DOI: (10.1016/j.jaci.2016.02.001) Copyright © 2016 The Authors Terms and Conditions

Fig E3 A, Dendrogram to which the number of clusters was determined (k = 3). B and C, Two representations of the clusters on z scores of 3 QCT variables: MLDE/I, Perc15, and LA/BSA. Small dots represent individual patients, and large spheres represent sample sizes of clusters centered on their multivariate cluster means. Journal of Allergy and Clinical Immunology 2016 137, 1413-1422.e12DOI: (10.1016/j.jaci.2016.02.001) Copyright © 2016 The Authors Terms and Conditions