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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