Literature DB >> 28848199

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

Miranda Kirby1, Youbing Yin, Juerg Tschirren, Wan C Tan, Jonathon Leipsic, Cameron J Hague, Jean Bourbeau, Don D Sin, James C Hogg, Harvey O Coxson.   

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.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Chronic obstructive pulmonary disease; Computed tomography; Disease probability measure; Small airway disease

Mesh:

Year:  2017        PMID: 28848199     DOI: 10.1159/000478865

Source DB:  PubMed          Journal:  Respiration        ISSN: 0025-7931            Impact factor:   3.580


  15 in total

1.  Imaging Small Airway Disease: Probabilities and Possibilities.

Authors:  Surya P Bhatt
Journal:  Ann Am Thorac Soc       Date:  2019-08

2.  CNN-based Deformable Registration Facilitates Fast and Accurate Air Trapping Measurements at Inspiratory and Expiratory CT.

Authors:  Kyle A Hasenstab; Joseph Tabalon; Nancy Yuan; Tara Retson; Albert Hsiao
Journal:  Radiol Artif Intell       Date:  2021-11-10

3.  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 4.  Origins of and lessons from quantitative functional X-ray computed tomography of the lung.

Authors:  Eric A Hoffman
Journal:  Br J Radiol       Date:  2022-03-01       Impact factor: 3.629

Review 5.  The Precision Interventions for Severe and/or Exacerbation-Prone (PrecISE) Asthma Network: An overview of Network organization, procedures, and interventions.

Authors:  Steve N Georas; Rosalind J Wright; Anastasia Ivanova; Elliot Israel; Lisa M LaVange; Praveen Akuthota; Tara F Carr; Loren C Denlinger; Merritt L Fajt; Rajesh Kumar; Wanda K O'Neal; Wanda Phipatanakul; Stanley J Szefler; Mark A Aronica; Leonard B Bacharier; Allison J Burbank; Mario Castro; Laura Crotty Alexander; Julie Bamdad; Juan Carlos Cardet; Suzy A A Comhair; Ronina A Covar; Emily A DiMango; Kim Erwin; Serpil C Erzurum; John V Fahy; Jonathan M Gaffin; Benjamin Gaston; Lynn B Gerald; Eric A Hoffman; Fernando Holguin; Daniel J Jackson; John James; Nizar N Jarjour; Nicholas J Kenyon; Sumita Khatri; John P Kirwan; Monica Kraft; Jerry A Krishnan; Andrew H Liu; Mark C Liu; M Alison Marquis; Fernando Martinez; Jacob Mey; Wendy C Moore; James N Moy; Victor E Ortega; David B Peden; Emily Pennington; Michael C Peters; Kristie Ross; Maria Sanchez; Lewis J Smith; Ronald L Sorkness; Michael E Wechsler; Sally E Wenzel; Steven R White; Joe Zein; Amir A Zeki; Patricia Noel
Journal:  J Allergy Clin Immunol       Date:  2021-11-29       Impact factor: 14.290

6.  Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.

Authors:  Kyle A Hasenstab; Nancy Yuan; Tara Retson; Douglas J Conrad; Seth Kligerman; David A Lynch; Albert Hsiao
Journal:  Radiol Cardiothorac Imaging       Date:  2021-04-08

7.  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

8.  Quantitative Chest CT Assessment of Small Airways Disease in Post-Acute SARS-CoV-2 Infection.

Authors:  Josalyn L Cho; Raul Villacreses; Prashant Nagpal; Junfeng Guo; Alejandro A Pezzulo; Andrew L Thurman; Nabeel Y Hamzeh; Robert J Blount; Spyridon Fortis; Eric A Hoffman; Joseph Zabner; Alejandro P Comellas
Journal:  Radiology       Date:  2022-03-15       Impact factor: 29.146

9.  Lung Topology Characteristics in patients with Chronic Obstructive Pulmonary Disease.

Authors:  Francisco Belchi; Mariam Pirashvili; Joy Conway; Michael Bennett; Ratko Djukanovic; Jacek Brodzki
Journal:  Sci Rep       Date:  2018-03-28       Impact factor: 4.379

10.  Case Studies in Physiology: Temporal variations of the lung parenchyma and vasculature in asymptomatic COVID-19 pneumonia: a multispectral CT assessment.

Authors:  Prashant Nagpal; Amin Motahari; Sarah E Gerard; Junfeng Guo; Joseph M Reinhardt; Alejandro P Comellas; Eric A Hoffman; David W Kaczka
Journal:  J Appl Physiol (1985)       Date:  2021-06-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.