Literature DB >> 19789219

Bronchial measurements in patients with asthma: comparison of quantitative thin-section CT findings with those in healthy subjects and correlation with pathologic findings.

Michel Montaudon1, Mathieu Lederlin, Stéphanie Reich, Hugues Begueret, José Manuel Tunon-de-Lara, Roger Marthan, Patrick Berger, François Laurent.   

Abstract

PURPOSE: To analyze and compare computed tomographic (CT) bronchial measurements in patients with asthma and healthy subjects and to correlate bronchial morphometric parameters with functional data and immunohistologic markers of airway remodeling and inflammation.
MATERIALS AND METHODS: This retrospective study was approved by the institutional review board; patient informed consent was not required. CT and pulmonary function tests were performed in 27 patients separated into two groups: 15 patients with asthma (three men; mean age, 43.1 years +/- 5.3 [standard error of mean]) and 12 healthy subjects (10 men; mean age, 45.0 years +/- 5.4). Endobronchial biopsies were performed in 11 subjects. Bronchial cross-sectional wall area (WA) and lumen area (LA) were measured by using validated software, and wall thickness (WT), total area (TA), WA/LA ratio, and WA/TA ratio were computed. Slope and maximal local slope of each parameter along bronchial generations were calculated.
RESULTS: Patients with asthma demonstrated significantly lower LA, TA, and WA and higher WA/LA and WA/TA ratios than healthy subjects downward from the fourth bronchial generation. Correlations existed between slope and maximal local slope of WA/LA and/or WA/TA ratios and functional data reflecting bronchial obstruction (r = 0.46-0.58, P = .001-.025), subepithelial membrane thickness (r = 0.67-0.69, P = .019-.023), smooth muscle layer area (r = 0.75, P = .007), subepithelial layer area (r = 0.81, P = .002), and infiltration of the bronchial wall by inflammatory cells (r = 0.67-0.86, P = .049-.003).
CONCLUSION: Axial reconstructions with orthogonal measurements along the airways enabled by three-dimensional segmentation methods are able to demonstrate significant changes in bronchial morphometry, predicting airflow limitation in asthma, and may have a role in the noninvasive measurement of airway remodeling.

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Mesh:

Year:  2009        PMID: 19789219     DOI: 10.1148/radiol.2533090303

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  37 in total

Review 1.  Lung imaging in asthmatic patients: the picture is clearer.

Authors:  Mario Castro; Sean B Fain; Eric A Hoffman; David S Gierada; Serpil C Erzurum; Sally Wenzel
Journal:  J Allergy Clin Immunol       Date:  2011-06-02       Impact factor: 10.793

2.  Quantitative computed tomographic imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes.

Authors:  Sanghun Choi; Eric A Hoffman; Sally E Wenzel; Mario Castro; Sean Fain; Nizar Jarjour; Mark L Schiebler; Kun Chen; Ching-Long Lin
Journal:  J Allergy Clin Immunol       Date:  2017-01-29       Impact factor: 10.793

3.  Quantitative assessment of multiscale structural and functional alterations in asthmatic populations.

Authors:  Sanghun Choi; Eric A Hoffman; Sally E Wenzel; Mario Castro; Sean B Fain; Nizar N Jarjour; Mark L Schiebler; Kun Chen; Ching-Long Lin
Journal:  J Appl Physiol (1985)       Date:  2015-03-26

4.  Is bronchial wall imaging affected by temporal resolution? comparative evaluation at 140 and 75 ms in 90 patients.

Authors:  Antoine Hutt; Nunzia Tacelli; Jean-Baptiste Faivre; Thomas Flohr; Alain Duhamel; Jacques Remy; Martine Remy-Jardin
Journal:  Eur Radiol       Date:  2015-06-03       Impact factor: 5.315

5.  Effect of total lung capacity, gender and height on CT airway measurements.

Authors:  Maxime Hackx; Dorothée Francotte; Tiago S Garcia; Alain Van Muylem; Michel Walsdorff; Pierre A Gevenois
Journal:  Br J Radiol       Date:  2017-06-14       Impact factor: 3.039

6.  Influence of airway wall stiffness and parenchymal tethering on the dynamics of bronchoconstriction.

Authors:  Mohammad Afzal Khan; Russ Ellis; Mark D Inman; Jason H T Bates; Michael J Sanderson; Luke J Janssen
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2010-04-30       Impact factor: 5.464

Review 7.  Asthma therapy and its effect on airway remodelling.

Authors:  Rachid Berair; Christopher E Brightling
Journal:  Drugs       Date:  2014-08       Impact factor: 9.546

8.  Effect of static vs. dynamic imaging on particle transport in CT-based numerical models of human central airways.

Authors:  Shinjiro Miyawaki; Eric A Hoffman; Ching-Long Lin
Journal:  J Aerosol Sci       Date:  2016-07-16       Impact factor: 3.433

9.  Quantitative analysis of high-resolution computed tomography scans in severe asthma subphenotypes.

Authors:  Sumit Gupta; Salman Siddiqui; Pranab Haldar; James J Entwisle; Dean Mawby; Andrew J Wardlaw; Peter Bradding; Ian D Pavord; Ruth H Green; Christopher E Brightling
Journal:  Thorax       Date:  2010-09       Impact factor: 9.139

10.  Three-dimensional airway tree architecture and pulmonary function.

Authors:  Jiantao Pu; Joseph K Leader; Xin Meng; Bruce Whiting; David Wilson; Frank C Sciurba; John J Reilly; William L Bigbee; Jill Siegfried; David Gur
Journal:  Acad Radiol       Date:  2012-08-11       Impact factor: 3.173

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