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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