Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Imprecision of annular sizing in low-risk patients with aortic stenosis and its impact on transcatheter aortic valve size.

Scientific reports·2026
Same author

<sup>1</sup>O<sub>2</sub>-driven photobleaching pathways of xanthene dyes: A comparative study via LC-QTOF-MS/MS analysis and FT-IR spectroscopy.

Talanta·2026
Same author

Clinical and Echocardiographic Outcomes After Implantation of the ALLEGRA Transcatheter Valve Using the Fully Repositionable IMPERIA Delivery System: One-Year Results of the EMPIRE I Study.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions·2026
Same author

Pre-perfusion coronary wedge pressure and microvascular obstruction in anterior ST elevation myocardial infarction (STEMI): An analysis from the EUROICE study.

International journal of cardiology·2026
Same author

Left Bundle Branch Area Pacing Reverts Electromechanical Window Negativity to a Similar Extent as Biventricular Pacing.

Pacing and clinical electrophysiology : PACE·2026
Same author

Subclavian or axillary artery cannulation for extracorporeal membrane oxygenation: A systematic review.

JTCVS open·2026

Related Experiment Video

Updated: Apr 2, 2026

Author Spotlight: Development of a Minimally Invasive Large-Animal Model for Reliable and Reproducible Cardiovascular Research
06:51

Author Spotlight: Development of a Minimally Invasive Large-Animal Model for Reliable and Reproducible Cardiovascular Research

Published on: October 20, 2023

1.9K

Verification of a Fluid-Structure Interaction Model for Aortic Stenosis Through Comparison With In Vitro Experiments.

Sabine Verstraeten1, Roel Meiburg1, Koen Janssens1

  • 1Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.

International Journal for Numerical Methods in Biomedical Engineering
|April 1, 2026
PubMed
Summary
This summary is machine-generated.

Patient-specific Fluid-Structure Interaction (FSI) models show promise for assessing aortic stenosis (AS) severity. This study verified an FSI model against in vitro experiments, demonstrating its feasibility as a non-invasive tool for clinical decision-making.

Keywords:
aortic stenosisclinical decision supportfluid–structure interaction simulationsin vitro experimentsverification

More Related Videos

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

4.7K
In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging
11:16

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

Published on: February 25, 2022

3.9K

Related Experiment Videos

Last Updated: Apr 2, 2026

Author Spotlight: Development of a Minimally Invasive Large-Animal Model for Reliable and Reproducible Cardiovascular Research
06:51

Author Spotlight: Development of a Minimally Invasive Large-Animal Model for Reliable and Reproducible Cardiovascular Research

Published on: October 20, 2023

1.9K
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

4.7K
In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging
11:16

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

Published on: February 25, 2022

3.9K

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Research
  • Computational Fluid Dynamics

Background:

  • Current aortic stenosis (AS) severity assessment relies on rest pressure gradients, which are flow-dependent and may underestimate disease severity.
  • Resting measurements do not capture valvular dynamics during higher flow rates, such as exercise, complicating clinical decisions.
  • Patient-specific Fluid-Structure Interaction (FSI) modeling offers a non-invasive approach to simulate valve dynamics under various flow conditions, independent of ventricular pressure.

Purpose of the Study:

  • To experimentally verify a patient-specific aortic stenosis FSI model using realistic aortic valve geometries, including calcifications.
  • To assess the model's accuracy across a range of flow conditions, from rest to exercise.
  • To evaluate the potential of FSI modeling as a complementary tool for AS severity assessment and clinical decision support.

Main Methods:

  • In vitro experiments were conducted using a mock-loop circulatory system with patient-specific silicone rubber aortic valve models (calcified and non-calcified).
  • Fluid-Structure Interaction (FSI) simulations were performed to replicate the experimental conditions.
  • Comparison of simulated and experimental results for transvalvular flow and aortic valve area (AVA) was conducted.

Main Results:

  • Good agreement was observed between FSI simulations and experimental data for the non-calcified valve, with average errors of 5% for mean transvalvular flow and 10% for AVA.
  • Discrepancies were larger for the calcified valve (average errors of 8% for flow and 7% for AVA) due to the complexity of calcifications.
  • The study demonstrated the feasibility of FSI modeling for assessing AS severity.

Conclusions:

  • Patient-specific FSI modeling is a feasible non-invasive method to assess aortic stenosis severity across different flow conditions.
  • Further research is needed to refine methods for estimating leaflet material properties and pre-stress for clinical implementation.
  • Model verification with broader in vitro data and validation with clinical data are essential next steps for widespread adoption.