Left atrial appendage occlusion device: Development and validation of a finite element model

Alissa Zaccaria1, Francesca Danielli1, Emanuele Gasparotti2

  • 1LaBS, Dept. of Chemistry, Materials and Chemical Engineering, Polytechnic of Milan, Milan, Italy.

Insights

This study presents a method for creating and validating in-silico models of Left Atrial Appendage (LAA) occlusion devices. This aids pre-operative planning for stroke prevention in Atrial Fibrillation (AF) patients.

Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Medical Device Simulation

Background:

  • Atrial Fibrillation (AF) increases stroke risk, with oral anticoagulants having significant drawbacks like bleeding.
  • Left Atrial Appendage (LAA) closure is an alternative for AF patients unsuitable for anticoagulation.
  • Pre-operative planning for LAA closure is complex due to device intricacies and anatomical variations.

Purpose of the Study:

  • To develop and validate a numerical model for a commercial Left Atrial Appendage (LAA) occlusion device.
  • To establish a credibility assessment process for in-silico models of LAA occlusion devices.
  • To address the lack of validated numerical models and detailed credibility assessment in LAA device simulation.

Main Methods:

  • Constructed a numerical model of a commercial LAA occlusion device using a single available sample.
  • Validated the model through a step-by-step process, assessing individual device behavior and interaction with a deformable conduit.
  • Focused on identifying and mitigating uncertainties in the model predictions without manufacturer data.

Main Results:

  • Successfully built and validated an in-silico model of a commercial LAA occlusion device.
  • Demonstrated a robust validation process to ensure model credibility and reliability.
  • Provided a framework for assessing uncertainties in numerical models for LAA occlusion devices.

Conclusions:

  • In-silico models can significantly aid pre-operative planning for LAA occlusion procedures.
  • The developed validation process ensures the reliability of numerical simulations for medical devices.
  • This approach offers a valuable tool for understanding and optimizing LAA device performance and patient outcomes.

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