Abstract #1903

Application of Pulmonary Perfusion Analysis in Phenotyping COVID-19 Cardiopulmonary Disease with Magnetic Resonance Imaging

Andrew C. Lancaster¹, Yoko Kato², Chia-Ying Liu³, Yoshimori Kassai³, Jaclyn Sesso², Joao A. C. Lima^2,4, and Bharath Ambale-Venkatesh⁴

¹School of Medicine, Johns Hopkins University, Baltimore, MD, United States, ²Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ³Canon Medical Systems Corporation, Otawara, Japan, ⁴Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Synopsis

Keywords: Vessels, COVID-19, PerfusionPulmonary perfusion analysis of cardiac magnetic resonance imaging in patients with previous COVID-19 may help phenotype patients with advanced cardiopulmonary disease. Lung perfusion analysis was performed and results were correlated with clinical data in patients who were treated for COVID-19 at Johns Hopkins institutions. Older age and hospitalization for COVID-19 were found to be related to worse pulmonary perfusion, as measured by the perfusion parameter 50% max intensity, suggesting that one long-term sequela of severe COVID-19 that requires hospitalization, particularly in older patients, is a global bilateral decrease in the speed at which the lungs are perfused.

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