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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