Cameron Dowling1, Alessandra M Bavo2, Nahid El Faquir3, Peter Mortier2, Peter de Jaegere3, Ole De Backer4, Lars Sondergaard4, Philipp Ruile5, Darren Mylotte6, Hannah McConkey7, Ronak Rajani7, Jean-Claude Laborde1, Stephen J Brecker1. 1. Cardiology Clinical Academic Group, St. George's, University of London and St. George's University Hospitals NHS Foundation Trust, United Kingdom (C.D., J.-C.L., S.J.B.). 2. FEops NV, Ghent, Belgium (A.M.B., P.M.). 3. Department of Cardiology, Erasmus MC, Rotterdam, the Netherlands (N.E.F., P.d.J.). 4. The Heart Center, Rigshospitalet, University of Copenhagen, Denmark (O.D.B., L.S.). 5. Department of Cardiology & Angiology II, University Heart Center Freiburg-Bad Krozingen, Germany (P.R.). 6. Department of Cardiology, University Hospital Galway, Ireland (D.M.). 7. Cardiovascular Division, The Rayne Institute BHF Centre of Research Excellence, King's College London and St. Thomas' Hospital, United Kingdom (H.M., R.R.).
Abstract
BACKGROUND: A patient-specific computer simulation of transcatheter aortic valve replacement (TAVR) in tricuspid aortic valve has been developed, which can predict paravalvular regurgitation and conduction disturbance. We wished to validate a patient-specific computer simulation of TAVR in bicuspid aortic valve and to determine whether patient-specific transcatheter heart valve (THV) sizing and positioning might improve clinical outcomes. METHODS: A retrospective study was performed on TAVR in bicuspid aortic valve patients that had both pre- and postprocedural computed tomography imaging. Preprocedural computed tomography imaging was used to create finite element models of the aortic root. Finite element analysis and computational fluid dynamics was performed. The simulation output was compared with postprocedural computed tomography imaging, cineangiography, echocardiography, and electrocardiograms. For each patient, multiple simulations were performed, to identify an optimal THV size and position for the patient's specific anatomic characteristics. RESULTS: A total of 37 patients were included in the study. The simulations accurately predicted the THV frame deformation (minimum-diameter intraclass correlation coefficient, 0.84; maximum-diameter intraclass correlation coefficient, 0.88; perimeter intraclass correlation coefficient, 0.91; area intraclass correlation coefficient, 0.91), more than mild paravalvular regurgitation (area under the receiver operating characteristic curve, 0.86) and major conduction abnormalities (new left bundle branch block or high-degree atrioventricular block; area under the receiver operating characteristic curve, 0.88). When compared with the implanted THV size and implant depth, optimal patient-specific THV sizing and positioning reduced simulation-predicted paravalvular regurgitation and markers of conduction disturbance. CONCLUSIONS: Patient-specific computer simulation of TAVR in bicuspid aortic valve may predict the development of important clinical outcomes, such as paravalvular regurgitation and conduction abnormalities. Patient-specific THV sizing and positioning may improve clinical outcomes of TAVR in bicuspid aortic valve.
BACKGROUND: A patient-specific computer simulation of transcatheter aortic valve replacement (TAVR) in tricuspid aortic valve has been developed, which can predict paravalvular regurgitation and conduction disturbance. We wished to validate a patient-specific computer simulation of TAVR in bicuspid aortic valve and to determine whether patient-specific transcatheter heart valve (THV) sizing and positioning might improve clinical outcomes. METHODS: A retrospective study was performed on TAVR in bicuspid aortic valvepatients that had both pre- and postprocedural computed tomography imaging. Preprocedural computed tomography imaging was used to create finite element models of the aortic root. Finite element analysis and computational fluid dynamics was performed. The simulation output was compared with postprocedural computed tomography imaging, cineangiography, echocardiography, and electrocardiograms. For each patient, multiple simulations were performed, to identify an optimal THV size and position for the patient's specific anatomic characteristics. RESULTS: A total of 37 patients were included in the study. The simulations accurately predicted the THV frame deformation (minimum-diameter intraclass correlation coefficient, 0.84; maximum-diameter intraclass correlation coefficient, 0.88; perimeter intraclass correlation coefficient, 0.91; area intraclass correlation coefficient, 0.91), more than mild paravalvular regurgitation (area under the receiver operating characteristic curve, 0.86) and major conduction abnormalities (new left bundle branch block or high-degree atrioventricular block; area under the receiver operating characteristic curve, 0.88). When compared with the implanted THV size and implant depth, optimal patient-specific THV sizing and positioning reduced simulation-predicted paravalvular regurgitation and markers of conduction disturbance. CONCLUSIONS:Patient-specific computer simulation of TAVR in bicuspid aortic valve may predict the development of important clinical outcomes, such as paravalvular regurgitation and conduction abnormalities. Patient-specific THV sizing and positioning may improve clinical outcomes of TAVR in bicuspid aortic valve.
Authors: Agata Wiktorowicz; Adrian Wit; Krzysztof Piotr Malinowski; Artur Dziewierz; Lukasz Rzeszutko; Dariusz Dudek; Pawel Kleczynski Journal: Quant Imaging Med Surg Date: 2021-02
Authors: Vijay Govindarajan; Arun Kolanjiyil; Nils P Johnson; Hyunggun Kim; Krishnan B Chandran; David D McPherson Journal: R Soc Open Sci Date: 2022-02-09 Impact factor: 2.963