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PMID: 33144605 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Assessment of hemodynamic responses to exercise in aortic coarctation using MRI-ergometry in combination with computational fluid dynamics.

Scientific reports ·Vol. 10 ·No. 1 ·2020-00-03 ·页码 18894

Schubert C, Brüning J, Goubergrits L, Hennemuth A, Berger F, Kühne T, Kelm M

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].
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Corresponding email
Published
2020-00-03
电子出版
2020-00-03
页码
18894
Language
English
Country/Region
England
NLM ID
101563288
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