Published November 2016 | Version v1
Journal article

Quantitative computed tomography measurements to evaluate airway disease in chronic obstructive pulmonary disease: Relationship to physiological measurements, clinical index and visual assessment of airway disease

  • 1. Department of Radiology, National Jewish Health, 1400 Jackson Street, Denver, CO, 80206 (United States)
  • 2. Department of Medicine, National Jewish Health, Denver, CO (United States)
  • 3. Division of Pulmonary Medicine, Department of Medicine, National Jewish Health (United States)

Description

Purpose: To correlate currently available quantitative CT measurements for airway disease with physiological indices and the body-mass index, airflow obstruction, dyspnea, and exercise capacity (BODE) index in patients with chronic obstructive pulmonary disease (COPD). Materials and methods: This study was approved by our institutional review board (IRB number 2778). Written informed consent was obtained from all subjects. The subjects included 188 current and former cigarette smokers from the COPDGene cohort who underwent inspiratory and expiratory CT and also had physiological measurements for the evaluation of airflow limitation, including FEF25-75%, airway resistance (Raw), and specific airway conductance (sGaw). The BODE index was used as the index of clinical symptoms. Quantitative CT measures included % low attenuation areas [% voxels ≤ 950 Hounsfield unit (HU) on inspiratory CT, %LAA−950ins], percent gas trapping (% voxels ≤ −856 HU on expiratory CT, %LAA −856exp), relative inspiratory to expiratory volume change of voxels with attenuation values from −856 to −950 HU [Relative Volume Change (RVC)−856 to −950], expiratory to inspiratory ratio of mean lung density (E/I-ratio MLD), Pi10, and airway wall thickness (WT), luminal diameter (LD) and airway wall area percent (WA%) in the segmental, subsegmental and subsubsegmental bronchi on inspiratory CT. Correlation coefficients were calculated between the QCT measurements and physiological measurements in all subjects and in the subjects with mild emphysema (%LAA−950ins <10%). Univariate and multiple variable analysis for the BODE index were also performed. Adjustments were made for age, gender, smoking pack years, FEF25-75%, Raw, and sGaw. Results: Quantitative CT measurements had significant correlations with physiological indices. Among them, E/I-ratio MLD had the strongest correlations with FEF25-75% (r = −0.648, <0.001) and sGaw (r = −0.624, <0.001) while in the subjects with mild emphysema subsegmental WA% and segmental WA% had the strongest correlation with FEF25-75% (r = −0.669, <0.001) and sGaw (r = −0.638, <0.001), respectively. The multiple variable analyses showed that RVC−856 to −950 was an independent predictor of the BODE index showing the highest R2 (0.468) as an independent variable among the QCT measurements. Conclusion: Quantitative CT measurements of gas trapping such as E/I-ratio MLD, correlate better with physiological indices for airway disease than those of airway such as WA% or LD. In mild emphysema, however, quantitative CT measurements of airway correlate better with the physiological indices. RVC−856 to −950 is a predictor of the BODE index.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ejrad.2016.09.010

Additional details

Identifiers

DOI
10.1016/j.ejrad.2016.09.010;
PII
S0720-048X(16)30279-0;

Publishing Information

Journal Title
European Journal of Radiology
Journal Volume
85
Journal Issue
11
Journal Page Range
p. 2144-2151
ISSN
0720-048X
CODEN
EJRADR

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49006172
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
COMPUTERIZED TOMOGRAPHY; CORRELATIONS; EMPHYSEMA; EVALUATION; TOBACCO SMOKES
Descriptors DEC
AEROSOLS; COLLOIDS; DIAGNOSTIC TECHNIQUES; DISEASES; DISPERSIONS; PATHOLOGICAL CHANGES; RESIDUES; RESPIRATORY SYSTEM DISEASES; SMOKES; SOLS; TOMOGRAPHY

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.