2019
DOI: 10.1016/j.jaci.2019.01.014
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Functional CT imaging for identification of the spatial determinants of small-airways disease in adults with asthma

Abstract: Background: Asthma is a disease characterized by ventilation heterogeneity (VH). A number of studies have demonstrated that VH markers derived by using impulse oscillometry (IOS) or multiple-breath washout (MBW) are associated with key asthmatic patient-related outcome measures and airways hyperresponsiveness. However, the topographical mechanisms of VH in the lung remain poorly understood. Objectives: We hypothesized that specific regionalization of topographical small-airway disease would best account for IO… Show more

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Cited by 36 publications
(16 citation statements)
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“…Other studies showed that R5–R20 reflects small airway narrowing [ 70 , 71 ]. Another group showed that small-airway ventilation heterogeneity captured by IOS-derived R5–R20 values is associated with CT density gradient reversal at the lung base, likely a direct consequence of SAD [ 72 ].…”
Section: Introductionmentioning
confidence: 99%
“…Other studies showed that R5–R20 reflects small airway narrowing [ 70 , 71 ]. Another group showed that small-airway ventilation heterogeneity captured by IOS-derived R5–R20 values is associated with CT density gradient reversal at the lung base, likely a direct consequence of SAD [ 72 ].…”
Section: Introductionmentioning
confidence: 99%
“…Multiple lines of evidence suggest that, within subjects with asthma, the small airways are dysfunctional (3), inflamed (4), and damaged (5). Several in vivo imaging approaches have been used to study the small airways, including hyperpolarized gas, magnetic resonance imaging, and computed tomography (CT) imaging (6,7). These studies have demonstrated that spatial disease in the small airways captured by both magnetic resonance imaging and CT of the lungs may be adequately reflected in more simple measures of small airway disease using the forced oscillation technique (FOT).…”
mentioning
confidence: 99%
“…Parametric response mapping (PRM) is a voxel-wise image analysis technique that was implemented on the CT scans. PRM data were analysed according to the methods described in the literature [12, 13].…”
mentioning
confidence: 99%