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Abstract #1627

Can the Forced Oscillation Technique and a Computational Model of Respiratory System Mechanics Explain Asthma Ventilation Defects?

Megan Fennema1, Sarah Svenningsen1, Rachel Eddy1, Del Leary2, Geoffrey Maksym3, and Grace Parraga1

1Robarts Research Institute, The University of Western Ontario, London, ON, Canada, 2Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, United States, 3School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada

In patients with asthma, MRI has provided evidence of ventilation-defects and heterogeneity. The etiology of ventilation-heterogeneity is not well-understood, and neither is its relationship with clinically-relevant respiratory-system-impedance measurements. We evaluated the potential relationships between MRI ventilation-defects and respiratory-system-impedance measured in vivo using oscillometry and in silico using a computational airway-tree-model, in subjects clinically diagnosed with asthma. Both experiments suggested a significant relationship between MRI ventilation-defects and respiratory-system-reactance. In vivo experimental data presented here reinforced the validity of our computational airway-tree-model. MRI-derived ventilation-defects in asthmatics can be explained by lung impedance, specifically reactance, measured experimentally and using a computational model.

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