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Abstract #0092

Use of 4D Flow MRI to Indirectly Predict Cardiac Adverse Events Through Hemodynamic Alterations Induced by Exercise

Jiali Li1, Qian Liu1, Meining Chen2, and Jing Chen1
1Department of Radiology, The Affiliated Hospital of Southwest Medical University, Lu Zhou, China, 2MR Research Collaboration, Siemens Healthineers, Chengdu, China

Synopsis

Keywords: Flow, Cardiovascular

Motivation: Cardiovascular-related deaths are increasing in athletes, which necessitates a deeper understanding of hemodynamics.

Goal(s): Our goal was to use 4D flow MRI to assess athletes' cardiac and aortic hemodynamics and their links to myocardial fibrosis and cardiac remodeling risks.

Approach: Cardiac MRI was performed on 213 athletes and 32 matched controls. Hemodynamic parameters were measured and analyzed against myocardial fibrosis and cardiac remodeling risks.

Results: Athletes exhibited increased wall shear stress and energy loss. Hemodynamics differed markedly between groups. Our prediction model reliably displayed the potential of 4D flow in assessing cardiac risks.

Impact: Exercise can elevate aortic wall shear stress and energy loss. Four-dimensional flow cardiac MRI may allow predicting myocardial fibrosis or cardiac remodeling risks in athletes, thus informing clinicians of adverse event associations and guiding follow-up adjustments.

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