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Proceedings Paper

Micro-computed tomography imaging of a rodent model of Chronic Obstructive Pulmonary Disease (COPD)
Author(s): Nancy L. Ford; Ian Lee; Anthony Tam; Don D. Sin
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Paper Abstract

Chronic obstructive pulmonary disease is projected to become the 3rd leading cause of death worldwide by 2030. Currently, 200 million people worldwide have been diagnosed with COPD, and many more are living with undiagnosed disease. COPD has no cure and no drugs that lead to improvements in long-term survival. Drug discovery is challenging due to a poor understanding of COPD pathogenesis. To study COPD, rodent models have been developed, with daily exposures to tobacco cigarette smoke over a 6-month period inducing symptoms. Measurements are typically done on histological slides, assessing airway wall thickening and markers of emphysema. These post-mortem techniques are unable to assess how the disease is progressing or how these observed structural changes impact lung function. To identify changes in lung structure and function in a smoking exposure model, we used respiratory-gated micro-computed tomography (micro-CT) and image-based measurements of lung structure and function. Micro-CT imaging was performed in anesthetized, free-breathing mice at baseline. The mice were then subjected to 6-months of exposure to tobacco cigarettes or ambient air, and rescanned. We also performed post-mortem lung compliance tests on 3-month smoke-exposed and age-matched control mice. Significant differences between smoke-exposed and control mice were observed for lung volume and functional residual capacity, which correlate well with the results of the lung compliance testing. In vivo respiratory-gated micro-CT in free-breathing animals is sensitive to changes in lung structure and function resulting from exposure to tobacco cigarette smoke, and is an effective tool to monitor the development of COPD in rodent models.

Paper Details

Date Published: 28 February 2020
PDF: 8 pages
Proc. SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 113172F (28 February 2020); doi: 10.1117/12.2549805
Show Author Affiliations
Nancy L. Ford, The Univ. of British Columbia (Canada)
Ian Lee, The Univ. of British Columbia (Canada)
Anthony Tam, The Univ. of British Columbia (Canada)
Don D. Sin, The Univ. of British Columbia (Canada)


Published in SPIE Proceedings Vol. 11317:
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor S. Gimi, Editor(s)

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