Abstract
Modeling different treatment options before a procedure is performed is a promising approach for surgical decision making and patient care in heart valve disease. This study investigated the hemodynamic impact of different prostheses through patient-specific MRI-based CFD simulations. Ten time-resolved MRI data sets with and without velocity encoding were obtained to reconstruct the aorta and set hemodynamic boundary conditions for simulations. Aortic hemodynamics after virtual valve replacement with a biological and mechanical valve prosthesis were investigated. Wall shear stress (WSS), secondary flow degree (SFD), transvalvular pressure drop (TPD), turbulent kinetic energy (TKE), and normalized flow displacement (NFD) were evaluated to characterize valve-induced hemodynamics. The biological prostheses induced significantly higher WSS (medians: 9.3 vs. 8.6 Pa, P = 0.027) and SFD (means: 0.78 vs. 0.49, P = 0.002) in the ascending aorta, TPD (medians: 11.4 vs. 2.7 mm Hg, P = 0.002), TKE (means: 400 vs. 283 cm2 /s2 , P = 0.037), and NFD (means: 0.0994 vs. 0.0607, P = 0.020) than the mechanical prostheses. The differences between the prosthesis types showed great inter-patient variability, however. Given this variability, a patient-specific evaluation is warranted. In conclusion, MRI-based CFD offers an opportunity to assess the interactions between prosthesis and patient-specific boundary conditions, which may help in optimizing surgical decision making and providing additional guidance to clinicians.
Keywords
-4D flow MRI
-Aortic hemodynamics
-Aortic valve replacement
-Virtual intervention
Patient-specific simulation
MeSH 主题词
Adolescent
Adult
Aged
Aorta/physiopathology
Aortic Valve/diagnostic imaging,physiopathology,transplantation
Bioprosthesis/adverse effects
Blood Flow Velocity/physiology
Female
Heart Valve Diseases/diagnostic imaging,physiopathology,surgery
Heart Valve Prosthesis/adverse effects
Heart Valve Prosthesis Implantation/adverse effects,methods
Humans
Image Processing, Computer-Assisted/methods
Magnetic Resonance Imaging
Male
Middle Aged
Models, Cardiovascular
Patient Care Planning
Prosthesis Design/adverse effects,methods
Stress, Mechanical
Young Adult
作者与单位
共 8 位作者,点击展开单位 / ORCID
Hellmeier Florian
ORCID
Biofluid Mechanics Laboratory, Charité - Universitätsmedizin Berlin, Berlin, Germany. | Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Nordmeyer Sarah
Department of Congenital Heart Disease and Pediatric Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany.
Yevtushenko Pavlo
Biofluid Mechanics Laboratory, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Bruening Jan
Biofluid Mechanics Laboratory, Charité - Universitätsmedizin Berlin, Berlin, Germany. | Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Berger Felix
Department of Congenital Heart Disease and Pediatric Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany.
Kuehne Titus
Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany. | Department of Congenital Heart Disease and Pediatric Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany. | Department of Pediatric Cardiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Goubergrits Leonid
Biofluid Mechanics Laboratory, Charité - Universitätsmedizin Berlin, Berlin, Germany. | Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany. | Department of Congenital Heart Disease and Pediatric Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany.
Kelm Marcus
Department of Congenital Heart Disease and Pediatric Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany.