Abstract
In patients with aortic coarctation it would be desirable to assess pressure gradients as well as information about blood flow profiles at rest and during exercise. We aimed to assess the hemodynamic responses to physical exercise by combining MRI-ergometry with computational fluid dynamics (CFD). MRI was performed on 20 patients with aortic coarctation (13 men, 7 women, mean age 21.5 ± 13.7 years) at rest and during ergometry. Peak systolic pressure gradients, wall shear stress (WSS), secondary flow degree (SFD) and normalized flow displacement (NFD) were calculated using CFD. Stroke volume was determined based on MRI. On average, the pressure gradient was 18.0 ± 16.6 mmHg at rest and increased to 28.5 ± 22.6 mmHg (p < 0.001) during exercise. A significant increase in cardiac index was observed (p < 0.001), which was mainly driven by an increase in heart rate (p < 0.001). WSS significantly increased during exercise (p = 0.006), whereas SFD and NFD remained unchanged. The combination of MRI-ergometry with CFD allows assessing pressure gradients as well as flow profiles during physical exercise. This concept has the potential to serve as an alternative to cardiac catheterization with pharmacological stress testing and provides hemodynamic information valuable for studying the pathophysiology of aortic coarctation.
MeSH 主题词
Adolescent
Adult
Aortic Coarctation/diagnostic imaging,physiopathology
Blood Flow Velocity
Child
Ergometry
Exercise Test/methods
Feasibility Studies
Female
Heart Rate
Hemodynamics
Humans
Hydrodynamics
Magnetic Resonance Imaging
Male
Prospective Studies
Stress, Mechanical
Young Adult
作者与单位
共 7 位作者,点击展开单位 / ORCID
Schubert Charlotte
Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany. | Department of Congenital Heart Disease, Deutsches Herzzentrum Berlin (DHZB), Berlin, Germany.
Brüning Jan
Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Goubergrits Leonid
Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany. | Einstein Center Digital Future, Berlin, Germany.
Hennemuth Anja
Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany. | Einstein Center Digital Future, Berlin, Germany.
Berger Felix
Department of Congenital Heart Disease, Deutsches Herzzentrum Berlin (DHZB), Berlin, Germany. | DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
Kühne Titus
Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany. | Department of Congenital Heart Disease, Deutsches Herzzentrum Berlin (DHZB), Berlin, Germany. | DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
Kelm Marcus
Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
[email protected]. | Department of Congenital Heart Disease, Deutsches Herzzentrum Berlin (DHZB), Berlin, Germany.
[email protected]. | Berlin Institute of Health (BIH), Berlin, Germany.
[email protected].