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Abstract #0001

Pulmonary MRI & Cluster Analysis Help Identify Novel Asthma Phenotypes

Rachel L. Eddy1,2, Marrissa J McIntosh3, Alexander M Matheson3, David G McCormack4, Christopher Licskai4, and Grace Parraga5
1Centre for Heart Lung Innovation, St. Paul’s Hospital, University of British Columbia, Vancouver, BC, Canada, 2Division of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada, 3Robarts Research Institute, Department of Medical Biophysics, Western University, London, ON, Canada, 4Division of Respirology, Department of Medicine, Western University, London, ON, Canada, 5Robarts Research Institute, Department of Medical Biophysics; Division of Respirology, Department of Medicine, Western University, London, ON, Canada

Synopsis

Keywords: YIA, LungPulmonary functional MRI measurements have never been evaluated for the generation of imaging-based asthma patient clusters, although computed tomography (CT)-based clusters have been determined. Here we investigated hyperpolarized 129XeMRI ventilation in combination with CT airway measurements in 45 patients with asthma and identified 4 phenotypic clusters with distinct structure-function and clinical characteristics. Our results revealed a novel cluster of patients only distinguished by MRI ventilation measurements, underscoring the utility of MRI to discriminate airway pathologies in asthma. Imaging-based clusters of asthma provide novel structure-function insights that may be exploited in future studies and challenge current clinical paradigms for asthma phenotyping.

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Keywords