Pulmonary 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 inhaled gas MRI ventilation in combination with CT airway measurements in 60 patients with asthma and identified 6 pulmonary structure-function imaging-based clusters using MRI ventilation defect percent (VDP) and CT airway measurements. These clusters reflect proximal and distal airway abnormalities in asthma and may be used to stratify patients for treatment decisions.
This abstract and the presentation materials are available to members only; a login is required.