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Abstract #4334

Pulmonary Imaging Biomarkers of COPD for Personalized Treatment and Better Outcomes

Dante PI Capaldi1, Anthony Lausch2, Khadija Sheikh1, Fumin Guo1, David G McCormack3, and Grace Parraga1

1Robarts Research Institute, The University of Western Ontario, London, ON, Canada, 2Credit Valley Hospital, Mississauga, ON, Canada, 3Department of Medicine, The University of Western Ontario, London, ON, Canada

In this proof-of-concept demonstration, we developed and generated multimodal-parametric-response-mapping (mPRM) from CT and MRI pulmonary measurements to phenotype chronic obstructive pulmonary disease (COPD). We performed principal component analysis of the voxel distribution generated from co-registered inspiration or expiratory CT with 3He MRI SV cluster maps and 3He MRI ADC maps for ex-smokers with and without COPD. Further work is necessary to determine the appropriate combination of imaging biomarkers generated from MRI and CT to provide useful information in deeply phenotyping COPD.

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