Literature DB >> 30682455

Functional CT imaging for identification of the spatial determinants of small-airways disease in adults with asthma.

Alex J Bell1, Brody H Foy2, Matthew Richardson1, Amisha Singapuri1, Evgeny Mirkes3, Maarten van den Berge4, David Kay2, Chris Brightling1, Alexander N Gorban3, Craig J Galbán5, Salman Siddiqui6.   

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 IOS- and MBW-measured indices in patients.
METHODS: We evaluated the results of paired expiratory/inspiratory computed tomography in a cohort of asthmatic (n = 41) and healthy (n = 11) volunteers to understand the determinants of clinical VH indices commonly reported by using IOS and MBW. Parametric response mapping (PRM) was used to calculate the functional small-airways disease marker PRMfSAD and Hounsfield unit (HU)-based density changes from total lung capacity to functional residual capacity (ΔHU); gradients of ΔHU in gravitationally perpendicular (parallel) inferior-superior (anterior-posterior) axes were quantified.
RESULTS: The ΔHU gradient in the inferior-superior axis provided the highest level of discrimination of both acinar VH (measured by using phase 3 slope analysis of multiple-breath washout data) and resistance at 5 Hz minus resistance at 20 Hz measured by using impulse oscillometry (R5-R20) values. Patients with a high inferior-superior ΔHU gradient demonstrated evidence of reduced specific ventilation in the lower lobes of the lungs and high levels of PRMfSAD. A computational small-airway tree model confirmed that constriction of gravitationally dependent, lower-zone, small-airway branches would promote the largest increases in R5-R20 values. Ventilation gradients correlated with asthma control and quality of life but not with exacerbation frequency.
CONCLUSIONS: Lower lobe-predominant small-airways disease is a major driver of clinically measured VH in adults with asthma.
Copyright © 2019 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Asthma; biomarker; computed tomography; imaging; parametric response mapping; small-airways physiology; visualization

Mesh:

Substances:

Year:  2019        PMID: 30682455     DOI: 10.1016/j.jaci.2019.01.014

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   14.290


  7 in total

1.  Lung Computational Models and the Role of the Small Airways in Asthma.

Authors:  Brody H Foy; Marcia Soares; Rafel Bordas; Matthew Richardson; Alex Bell; Amisha Singapuri; Beverley Hargadon; Christopher Brightling; Kelly Burrowes; David Kay; John Owers-Bradley; Salman Siddiqui
Journal:  Am J Respir Crit Care Med       Date:  2019-10-15       Impact factor: 21.405

2.  Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts.

Authors:  Abhaya P Trivedi; Chase Hall; Charles W Goss; Daphne Lew; James G Krings; Mary Clare McGregor; Maanasi Samant; Jered P Sieren; Huashi Li; Ken B Schechtman; Joshua Schirm; Stephen McEleney; Sam Peterson; Wendy C Moore; Eugene R Bleecker; Deborah A Meyers; Elliot Israel; George R Washko; Bruce D Levy; Joseph K Leader; Sally E Wenzel; John V Fahy; Mark L Schiebler; Sean B Fain; Nizar N Jarjour; David T Mauger; Joseph M Reinhardt; John D Newell; Eric A Hoffman; Mario Castro; Ajay Sheshadri
Journal:  Radiology       Date:  2022-04-26       Impact factor: 29.146

Review 3.  Small Airways: The "Silent Zone" of 2021 GINA Report?

Authors:  Marcello Cottini; Carlo Lombardi; Giovanni Passalacqua; Diego Bagnasco; Alvise Berti; Pasquale Comberiati; Gianluca Imeri; Massimo Landi; Enrico Heffler
Journal:  Front Med (Lausanne)       Date:  2022-05-23

Review 4.  Small airway dysfunction and poor asthma control: a dangerous liaison.

Authors:  Marcello Cottini; Anita Licini; Carlo Lombardi; Diego Bagnasco; Pasquale Comberiati; Alvise Berti
Journal:  Clin Mol Allergy       Date:  2021-05-29

5.  Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3.

Authors:  James G Krings; Charles W Goss; Daphne Lew; Maanasi Samant; Mary Clare McGregor; Jonathan Boomer; Leonard B Bacharier; Ajay Sheshadri; Chase Hall; Joshua Brownell; Ken B Schechtman; Samuel Peterson; Stephen McEleney; David T Mauger; John V Fahy; Sean B Fain; Loren C Denlinger; Elliot Israel; George Washko; Eric Hoffman; Sally E Wenzel; Mario Castro
Journal:  J Allergy Clin Immunol       Date:  2021-02-09       Impact factor: 14.290

6.  Assessing small airways dysfunction in asthma, asthma remission and healthy controls using particles in exhaled air.

Authors:  Orestes A Carpaij; Susan Muiser; Alex J Bell; Huib A M Kerstjens; Craig J Galban; Aleksa B Fortuna; Salman Siddiqui; Anna-Carin Olin; Martijn C Nawijn; Maarten van den Berge
Journal:  ERJ Open Res       Date:  2019-10-21

7.  Quantitative Computed Tomography in Asthma: For Good Measure.

Authors:  Sylvia Verbanck
Journal:  Am J Respir Crit Care Med       Date:  2020-04-15       Impact factor: 21.405

  7 in total

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