Key result
Computational modeling optimizes bioprosthetic aortic valve geometry and materials to reduce stress and improve durability.
Predictive computational modeling of heart valve prostheses is emerging as a tool to optimize valve design and potentially improve clinical outcomes.
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May aid iterative bioprosthetic valve design; leaves open clinical validation of durability gains.
INTRODUCTION: Replacement with a prosthetic device remains a major treatment option for the patients suffering from heart valve disease, with prevalence growing resulting from an ageing population. While the most popular replacement heart valve continues to be the bioprosthetic heart valve (BHV), its durability remains limited. There is thus a continued need to develop a general understanding of the underlying mechanisms limiting BHV durability to facilitate development of a more durable prosthesis. In this regard, computational models can play a pivotal role as they can evaluate our understanding of the underlying mechanisms and be used to optimize designs that may not always be intuitive. Areas covered: This review covers recent progress in computational models for the simulation of BHV, with a focus on aortic valve (AV) replacement. Recent contributions in valve geometry, leaflet material models, novel methods for numerical simulation, and applications to BHV optimization are discussed. This information should serve not only to infer reliable and dependable BHV function, but also to establish guidelines and insight for the design of future prosthetic valves by analyzing the influence of design, hemodynamics and tissue mechanics. Expert commentary: The paradigm of predictive modeling of heart valve prosthesis are becoming a reality which can simultaneously improve clinical outcomes and reduce costs. It can also lead to patient-specific valve design.
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Zakerzadeh et al. (2017) conducted a review in Aortic heart valve disease requiring bioprosthetic heart valve replacement. Computational modeling for bioprosthetic heart valve design and simulation was evaluated. Computational modeling of bioprosthetic aortic valves enables optimization of leaflet geometry and material properties to reduce peak mechanical stress and improve durability.
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