Patient-specific fluid simulation of transcatheter mitral valve replacement in mitral annulus calcification

Samuel Joseph Hill1, Alistair Young1, Bernard Prendergast2

  • 1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Insights

Computational Fluid Dynamics (CFD) simulations predict risks after transcatheter mitral valve replacement in severe mitral annulus calcification (MAC). CFD modeling can assess outflow tract obstruction and thrombosis risk, improving patient outcomes.

Area of Science:

  • Cardiovascular Engineering
  • Medical Imaging and Simulation
  • Biomedical Fluid Dynamics

Background:

  • Transcatheter mitral valve replacement (TMVR) offers an alternative to open-heart surgery for elderly patients.
  • Severe mitral annulus calcification (MAC) presents high risks, including left ventricular outflow tract (LVOT) obstruction and valve thrombosis.
  • These complications can lead to heart failure and early bioprosthetic valve failure.

Purpose of the Study:

  • To investigate the mechanisms of LVOT obstruction and valve thrombosis after valve-in-MAC procedures.
  • To utilize patient-specific Computational Fluid Dynamics (CFD) models to predict hemodynamic changes post-implantation.

Main Methods:

  • Generated patient- and device-specific models using preprocedural CT data and CFD software.
  • Performed personalized computer simulations to predict left ventricular hemodynamics in three severe MAC patients.

Main Results:

  • Simulations accurately predicted increased LVOT pressure gradients due to partial obstruction by the implanted valve.
  • Observed regions of high wall shear stress on the bioprosthetic frame, indicating potential for platelet activation.
  • Identified increased flow resistance, prolonged blood residence time, and recirculating flow leading to pro-thrombotic conditions.

Conclusions:

  • CFD modeling can predict key functional metrics (pressure gradients, wall shear stress, blood residence time) related to post-procedural risks.
  • This approach offers comprehensive preprocedural risk assessment beyond anatomical factors.
  • Further validation could enable in-depth analysis of valvular thrombosis likelihood.
Abstract

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