Key result
Fluid-structure interaction TAVR models accurately replicate bench hemodynamics with errors consistently under ~6%.
Why the study?
This study sought to extend a fluid-structure interaction framework for surgical bioprosthetic heart valves to a transcatheter aortic valve replacement device and evaluate hemodynamic and leaflet kinematic agreement and boundary-parameter transferability across pulse rates.
Does a fully coupled fluid-structure interaction (FSI) computational model calibrated at 70 bpm accurately reproduce experimental bench hemodynamics and leaflet kinematics of a transcatheter aortic valve replacement (TAVR) device across 60, 70, and 80 bpm?
Does a fully coupled fluid-structure interaction (FSI) computational model calibrated at 70 bpm accurately reproduce experimental bench hemodynamics and leaflet kinematics of a transcatheter aortic valve replacement (TAVR) device across 60, 70, and 80 bpm?
This study provides experimental bench validation for a high-fidelity fluid-structure interaction model of a TAVR device, demonstrating that boundary parameters calibrated at a single heart rate (70 bpm) can accurately predict valve hemodynamics and leaflet kinematics across different pulse rates (60 and 80 bpm) without recalibration.
Supports reliable FSI parameter transfer across 60-80 bpm in TAVR models; extends bench-validated simulations while leaving clinical translation open.
Purpose: This study extends our fluid-structure interaction (FSI) framework for surgical bioprosthetic heart valves in an experimental pulse duplicator to a transcatheter aortic valve replacement (TAVR) device. We assess hemodynamic and leaflet kinematic agreement across pulse rates and the transferability of calibrated boundary-model parameters. Methods: We compared simulated and experimental pressure, volumetric flow rate, projected dynamic valve area (PDVA), and leaflet kinematics at 60, 70, and 80 beats per minute (bpm). Reduced-order boundary-model parameters were calibrated using only data acquired at 70 bpm and were subsequently held fixed. At each pulse rate, a condition-specific pump-pressure waveform was constructed from the measured upstream pressure and flow rate. The 60 and 80 bpm cases therefore evaluate parameter transfer under measurement-informed upstream forcing. Results: Across the three conditions, normalized root-mean-square errors are 2.88-3.08% for aortic flow rate, 7.64-8.07% for upstream ventricular pressure, 3.50-6.21% for downstream aortic pressure, and 3.07-4.70% for PDVA. The simulations reproduce the principal pressure, flow, valve-opening, and valve-closure features. The downstream aortic pressure and PDVA measurements at 60 and 80 bpm were not used to construct the upstream forcing or recalibrate the model parameters and therefore provide the principal out-of-calibration validation evidence. Conclusion: The results provide conditional experimental bench validation evidence for downstream hemodynamics and valve dynamics under measurement-informed upstream forcing and support boundary-parameter transfer across pulse rates without recalibration. This work advances an experimentally supported, high-fidelity FSI framework for evaluating TAVR device performance.
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Lee et al. (2026) studied Aortic stenosis / Transcatheter aortic valve replacement (TAVR). Computational fluid-structure interaction (FSI) model of a 26 mm porcine pericardial TAVR device (Medtronic CoreValve Evolut R) vs. In vitro experimental pulse-duplicator measurements at 60, 70, and 80 bpm was evaluated on Normalized root-mean-square error (NRMSE) between simulated and experimental hemodynamic and leaflet kinematic waveforms (aortic flow rate, ventricular pressure, aortic pressure, and projected dynamic valve area). Fluid-structure interaction TAVR simulations matched bench measurements across 60-80 bpm with NRMSEs of 2.88-3.08% for flow, 3.50-6.21% for aortic pressure, and 3.07-4.70% for dynamic valve area.
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