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In vivo imaging of the airway wall in asthma: fibered confocal fluorescence microscopy in relation to histology and lung function

Overview of attention for article published in Respiratory Research, December 2011
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Title
In vivo imaging of the airway wall in asthma: fibered confocal fluorescence microscopy in relation to histology and lung function
Published in
Respiratory Research, December 2011
DOI 10.1186/1465-9921-12-85
Pubmed ID
Authors

Ching Yong Yick, Jan H von der Thüsen, Elisabeth H Bel, Peter J Sterk, Peter W Kunst

Abstract

Airway remodelling is a feature of asthma including fragmentation of elastic fibres observed in the superficial elastin network of the airway wall. Fibered confocal fluorescence microscopy (FCFM) is a new and non-invasive imaging technique performed during bronchoscopy that may visualize elastic fibres, as shown by in vitro spectral analysis of elastin powder. We hypothesized that FCFM images capture in vivo elastic fibre patterns within the airway wall and that such patterns correspond with airway histology. We aimed to establish the concordance between the bronchial elastic fibre pattern in histology and FCFM. Second, we examined whether elastic fibre patterns in histology and FCFM were different between asthmatic subjects and healthy controls. Finally, the association between these patterns and lung function parameters was investigated.

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Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
France 1 3%
Argentina 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 8 21%
Student > Master 5 13%
Professor > Associate Professor 4 11%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 22 58%
Physics and Astronomy 3 8%
Nursing and Health Professions 2 5%
Engineering 2 5%
Mathematics 1 3%
Other 1 3%
Unknown 7 18%