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In Silico Fatigue Optimization of TAVR Stent Designs with Physiological Motion in a Beating Heart Model by Baylous, Kyle; Helbock, Ryan; Kovarovic, Brandon; Anam, Salwa; Slepian, Marvin; Bluestein, Danny is a scholarly article available to read on EtoBox.

What is In Silico Fatigue Optimization of TAVR Stent Designs with Physiological Motion in a Beating Heart Model about?

The rapid expansion of TAVR to younger, low-risk patients raises concerns regarding device durability. Necessarily, extended stent lifetime will become more critical for new generation devices. In vitro methods commonly used for TAVR stent fatigue testing exclude the effects of the beating heart. We present a more realistic in silico stent fatigue analysis utilizing a beating heart model in which TAVR stents experience complex, nonuniform dynamic loading. Virtual TAVR deployments were simulated in the SIMULIA Living Heart Human Model of a beating heart using stent models of the self-expandable nitinol 26-mm CoreValve and Evolut R devices, and a 27-mm PolyV-2. Stent deformation was monitored over three cardiac cycles, and fatigue resistance was evaluated for the nitinol stents using finite element analysis via ABAQUS/Explicit. In all models, there were elements in which strains exceeded fatigue failure. The PolyV-2 stent had far fewer failing elements since its struts were optimized to reduce the strain in stent joints, achieving better fatigue resistance in the stent crown and waist elements. Different stent sections showed markedly different fatigue resistance due to the varying l

Author

Baylous, Kyle; Helbock, Ryan; Kovarovic, Brandon; Anam, Salwa; Slepian, Marvin; Bluestein, Danny

Published

2023

Language

EN