» Articles » PMID: 28848199

A Novel Method of Estimating Small Airway Disease Using Inspiratory-to-Expiratory Computed Tomography

Overview
Journal Respiration
Publisher Karger
Specialty Pulmonary Medicine
Date 2017 Aug 30
PMID 28848199
Citations 36
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Disease accumulates in the small airways without being detected by conventional measurements.

Objectives: To quantify small airway disease using a novel computed tomography (CT) inspiratory-to-expiratory approach called the disease probability measure (DPM) and to investigate the association with pulmonary function measurements.

Methods: Participants from the population-based CanCOLD study were evaluated using full-inspiration/full-expiration CT and pulmonary function measurements. Full-inspiration and full-expiration CT images were registered, and each voxel was classified as emphysema, gas trapping (GasTrap) related to functional small airway disease, or normal using two classification approaches: parametric response map (PRM) and DPM (VIDA Diagnostics, Inc., Coralville, IA, USA).

Results: The participants included never-smokers (n = 135), at risk (n = 97), Global Initiative for Chronic Obstructive Lung Disease I (GOLD I) (n = 140), and GOLD II chronic obstructive pulmonary disease (n = 96). PRMGasTrap and DPMGasTrap measurements were significantly elevated in GOLD II compared to never-smokers (p < 0.01) and at risk (p < 0.01), and for GOLD I compared to at risk (p < 0.05). Gas trapping measurements were significantly elevated in GOLD II compared to GOLD I (p < 0.0001) using the DPM classification only. Overall, DPM classified significantly more voxels as gas trapping than PRM (p < 0.0001); a spatial comparison revealed that the expiratory CT Hounsfield units (HU) for voxels classified as DPMGasTrap but PRMNormal (PRMNormal- DPMGasTrap = -785 ± 72 HU) were significantly reduced compared to voxels classified normal by both approaches (PRMNormal-DPMNormal = -722 ± 89 HU; p < 0.0001). DPM and PRMGasTrap measurements showed similar, significantly associations with forced expiratory volume in 1 s (FEV1) (p < 0.01), FEV1/forced vital capacity (p < 0.0001), residual volume/total lung capacity (p < 0.0001), bronchodilator response (p < 0.0001), and dyspnea (p < 0.05).

Conclusion: CT inspiratory-to-expiratory gas trapping measurements are significantly associated with pulmonary function and symptoms. There are quantitative and spatial differences between PRM and DPM classification that need pathological investigation.

Citing Articles

The Canadian Lung Outcomes in Users of Vaping Devices (CLOUD) Study: protocol for a prospective, observational cohort study.

Burns P, Eddy R, Li X, Yang J, Dhillon S, Couillard S BMJ Open. 2025; 15(3):e100568.

PMID: 40050062 PMC: 11887296. DOI: 10.1136/bmjopen-2025-100568.


InspirationOnly: synthesizing expiratory CT from inspiratory CT to estimate parametric response map.

Zhang T, Pang H, Wu Y, Xu J, Liang Z, Xia S Med Biol Eng Comput. 2025; .

PMID: 39961910 DOI: 10.1007/s11517-025-03322-0.


Exploring the use of biphasic quantitative thoracic computed tomography to evaluate halo-pelvic traction in managing severe adolescent idiopathic scoliosis.

Zhou J, Zhao Z, Cai Q, Zhong M Quant Imaging Med Surg. 2024; 14(12):8429-8442.

PMID: 39698613 PMC: 11652029. DOI: 10.21037/qims-24-568.


CT strain metrics allow for earlier diagnosis of bronchiolitis obliterans syndrome after hematopoietic cell transplant.

Sharifi H, Bertini C, Alkhunaizi M, Hernandez M, Musa Z, Borges C Blood Adv. 2024; 8(19):5156-5165.

PMID: 39163616 PMC: 11470239. DOI: 10.1182/bloodadvances.2024013748.


LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation.

Chaudhary M, Gerard S, Christensen G, Cooper C, Schroeder J, Hoffman E IEEE Trans Med Imaging. 2024; 43(7):2448-2465.

PMID: 38373126 PMC: 11227912. DOI: 10.1109/TMI.2024.3367321.