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Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement in Bicuspid Aortic Valve Morphology

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Harvard

Dowling, C, Bavo, AM, El Faquir, N, Mortier, P, de Jaegere, P, De Backer, O, Sondergaard, L, Ruile, P, Mylotte, D, McConkey, H, Rajani, R, Laborde, J-C & Brecker, SJ 2019, 'Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement in Bicuspid Aortic Valve Morphology', Circulation. Cardiovascular Imaging, bind 12, nr. 10, s. e009178. https://doi.org/10.1161/CIRCIMAGING.119.009178

APA

Dowling, C., Bavo, A. M., El Faquir, N., Mortier, P., de Jaegere, P., De Backer, O., Sondergaard, L., Ruile, P., Mylotte, D., McConkey, H., Rajani, R., Laborde, J-C., & Brecker, S. J. (2019). Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement in Bicuspid Aortic Valve Morphology. Circulation. Cardiovascular Imaging, 12(10), e009178. https://doi.org/10.1161/CIRCIMAGING.119.009178

CBE

Dowling C, Bavo AM, El Faquir N, Mortier P, de Jaegere P, De Backer O, Sondergaard L, Ruile P, Mylotte D, McConkey H, Rajani R, Laborde J-C, Brecker SJ. 2019. Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement in Bicuspid Aortic Valve Morphology. Circulation. Cardiovascular Imaging. 12(10):e009178. https://doi.org/10.1161/CIRCIMAGING.119.009178

MLA

Vancouver

Author

Dowling, Cameron ; Bavo, Alessandra M ; El Faquir, Nahid ; Mortier, Peter ; de Jaegere, Peter ; De Backer, Ole ; Sondergaard, Lars ; Ruile, Philipp ; Mylotte, Darren ; McConkey, Hannah ; Rajani, Ronak ; Laborde, Jean-Claude ; Brecker, Stephen J. / Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement in Bicuspid Aortic Valve Morphology. I: Circulation. Cardiovascular Imaging. 2019 ; Bind 12, Nr. 10. s. e009178.

Bibtex

@article{2073f1282b4a40a2b60a8854bd8352e7,
title = "Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement in Bicuspid Aortic Valve Morphology",
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.",
author = "Cameron Dowling and Bavo, {Alessandra M} and {El Faquir}, Nahid and Peter Mortier and {de Jaegere}, Peter and {De Backer}, Ole and Lars Sondergaard and Philipp Ruile and Darren Mylotte and Hannah McConkey and Ronak Rajani and Jean-Claude Laborde and Brecker, {Stephen J}",
year = "2019",
month = oct,
doi = "10.1161/CIRCIMAGING.119.009178",
language = "English",
volume = "12",
pages = "e009178",
journal = "Circulation: Cardiovascular Imaging",
issn = "1941-9651",
publisher = "Lippincott Williams & Wilkins",
number = "10",

}

RIS

TY - JOUR

T1 - Patient-Specific Computer Simulation of Transcatheter Aortic Valve Replacement in Bicuspid Aortic Valve Morphology

AU - Dowling, Cameron

AU - Bavo, Alessandra M

AU - El Faquir, Nahid

AU - Mortier, Peter

AU - de Jaegere, Peter

AU - De Backer, Ole

AU - Sondergaard, Lars

AU - Ruile, Philipp

AU - Mylotte, Darren

AU - McConkey, Hannah

AU - Rajani, Ronak

AU - Laborde, Jean-Claude

AU - Brecker, Stephen J

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

U2 - 10.1161/CIRCIMAGING.119.009178

DO - 10.1161/CIRCIMAGING.119.009178

M3 - Journal article

C2 - 31594409

VL - 12

SP - e009178

JO - Circulation: Cardiovascular Imaging

JF - Circulation: Cardiovascular Imaging

SN - 1941-9651

IS - 10

ER -

ID: 59143565