Utilizing CT Based Imaging Parameters of Body Composition to Understand Heterogeneity of Response to Biologic Therapies in Severe Asthma Cohorts

This study will utilize University of Michigan EMR data to form a retrospective cohort of severe asthma patients on biologic therapies for asthma with computed tomography (CT) imaging and known outcomes on therapy. These images will then be analyzed using morphomics, a combination of high-throughput image analysis and deep learning techniques, to derive imaging biomarkers that will be able to predict therapeutic response to biologics. These biomarkers will then be tested in a second cohort from the National Jewish Health to assess for validity.

The two arms for this study represent the two cohorts: the University of Michigan cohort, and the National Jewish Health cohort. The cohorts were split into arms, as the National Jewish Health cohort was intended to act as a validator group for results derived from participants in the University of Michigan cohort.