Literature DB >> 28980492

Computational methods for the aortic heart valve and its replacements.

Rana Zakerzadeh1, Ming-Chen Hsu2, Michael S Sacks1.   

Abstract

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.

Entities:  

Keywords:  Bioprosthetic heart valve; constitutive modeling; fluid–structure interaction; modeling and simulation; valve dynamics

Mesh:

Substances:

Year:  2017        PMID: 28980492      PMCID: PMC6542368          DOI: 10.1080/17434440.2017.1389274

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  8 in total

1.  An anisotropic constitutive model for immersogeometric fluid-structure interaction analysis of bioprosthetic heart valves.

Authors:  Michael C H Wu; Rana Zakerzadeh; David Kamensky; Josef Kiendl; Michael S Sacks; Ming-Chen Hsu
Journal:  J Biomech       Date:  2018-04-12       Impact factor: 2.712

Review 2.  Next-generation tissue-engineered heart valves with repair, remodelling and regeneration capacity.

Authors:  Emanuela S Fioretta; Sarah E Motta; Valentina Lintas; Sandra Loerakker; Kevin K Parker; Frank P T Baaijens; Volkmar Falk; Simon P Hoerstrup; Maximilian Y Emmert
Journal:  Nat Rev Cardiol       Date:  2020-09-09       Impact factor: 32.419

Review 3.  Clinical Impact of Computational Heart Valve Models.

Authors:  Milan Toma; Shelly Singh-Gryzbon; Elisabeth Frankini; Zhenglun Alan Wei; Ajit P Yoganathan
Journal:  Materials (Basel)       Date:  2022-05-05       Impact factor: 3.748

4.  Mechanical and finite element evaluation of a bioprinted scaffold following recellularization in a rat subcutaneous model.

Authors:  Christopher Noble; Eva L Maxson; Amir Lerman; Melissa D Young
Journal:  J Mech Behav Biomed Mater       Date:  2019-11-09

5.  Fluid-Structure Interaction Models of Bioprosthetic Heart Valve Dynamics in an Experimental Pulse Duplicator.

Authors:  Jae H Lee; Alex D Rygg; Ebrahim M Kolahdouz; Simone Rossi; Stephen M Retta; Nandini Duraiswamy; Lawrence N Scotten; Brent A Craven; Boyce E Griffith
Journal:  Ann Biomed Eng       Date:  2020-02-07       Impact factor: 3.934

6.  A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves.

Authors:  Aditya Balu; Sahiti Nallagonda; Fei Xu; Adarsh Krishnamurthy; Ming-Chen Hsu; Soumik Sarkar
Journal:  Sci Rep       Date:  2019-12-06       Impact factor: 4.379

Review 7.  Experimental and computational models for tissue-engineered heart valves: a narrative review.

Authors:  Ge Yan; Yuqi Liu; Minghui Xie; Jiawei Shi; Weihua Qiao; Nianguo Dong
Journal:  Biomater Transl       Date:  2021-12-28

8.  A Proof of Concept Study of Using Machine-Learning in Artificial Aortic Valve Design: From Leaflet Design to Stress Analysis.

Authors:  Liang Liang; Bill Sun
Journal:  Bioengineering (Basel)       Date:  2019-11-08
  8 in total

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