Abstract #4667

Metronome-paced Tachypnea-Induced Dynamic Hyperinflation on Pulmonary cine MRI in Chronic Obstructive Pulmonary Disease: SPIROMICS HF Study

Xuzhe Zhang¹, Martin R. Prince¹, Christopher B. Cooper², Michael C. Backman¹, Stephen M. Dashnaw¹, Eric A. Hoffman³, Bharath Ambale-Venkatesh⁴, Joao A. C. Lima⁴, Prachi Agarwal⁵, Joyce D. Schroeder⁶, Jens Vogel-Claussen⁷, David A. Bluemke⁸, John P. Finn², R. Graham Barr¹, and Wei Shen¹

¹Columbia University, New York, NY, United States, ²University of California, Los Angeles, Los Angeles, CA, United States, ³University of Iowa, Iowa City, IA, United States, ⁴Johns Hopkins University, Baltimore, MD, United States, ⁵University of Michigan, Ann Arbor, MI, United States, ⁶University of Utah, Salt Lake City, UT, United States, ⁷Hannover Medical School, Hanover, Germany, ⁸University of Wisconsin, Madison, WI, United States

Synopsis

Keywords: Lung, Lung, chronic obstructive pulmonary disease, pulmonary cine MRI, metronome-paced tachypnea, dynamic hyperinflation, transfer learning, unsupervised domain adaptationMetronome-paced tachypnea-induced dynamic hyperinflation of the lungs is typically assessed with spirometry; this method does not measure the dynamic change in lung volume over time. We implemented metronome-paced tachypnea with cardiopulmonary cine MRI. We developed an automated lung area segmentation algorithm using unsupervised domain adaptation (UDA) to measure dynamic hyperinflation in a SubPopulations and Intermediate Outcomes In COPD and Heart Failure Study (SPIROMICS HF) sample (n=65). Preliminary results showed that the integration of metronome-paced tachypnea and pulmonary cine MRI can quantify dynamic hyperinflation; dynamic hyperinflation identified on MRI appears to be associated with COPD severity.

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