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Abstract #0289

Multiparametric Assessment of Patients with Aortic Stenosis using Multipoint 4D Flow MRI - Correlation with Cardiac Biomarkers

Alexander Gotschy1,2, Christian Binter1, Robert Manka2, and Sebastian Kozerke1

1Institute for Biomedical Engineering, University & ETH Zurich, Zurich, Switzerland, 2Department of Cardiology, University Hospital Zurich, Zurich, Switzerland

Various flow characteristics, such as Turbulent Kinetic Energy (TKE), flow displacement or jet angle, derived from 4D Flow MRI, have been used to investigate the hemodynamic effects of aortic stenosis (AS). However, the predictive value of these flow parameters is still unknown. Therefore, we investigated the correlation between multiple flow parameters and cardiac biomarkers which are known to provide prognostic information on the progression and outcome of AS. Our results revealed that MRI-based TKE and peak velocity significantly correlate with NT-proBNP, implying potential relevance of these imaging parameter for future risk stratification of AS patients.

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