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Shear Stress Quantification in Tissue Engineering Bioreactor Heart Valves: A Computational Approach.
Dave, Raj; Luraghi, Giulia; Sierad, Leslie; Migliavacca, Francesco; Kung, Ethan.
Afiliação
  • Dave R; Department of Mechanical Engineering, Clemson University, Clemson, SC 29634, USA.
  • Luraghi G; Department of Chemistry, Material and Chemical Engineering, Politecnico di Milano, 20133 Milan, Italy.
  • Sierad L; Aptus, LLC, Clemson, SC 29631, USA.
  • Migliavacca F; Department of Chemistry, Material and Chemical Engineering, Politecnico di Milano, 20133 Milan, Italy.
  • Kung E; Department of Mechanical Engineering, Clemson University, Clemson, SC 29634, USA.
J Funct Biomater ; 15(3)2024 Mar 20.
Article em En | MEDLINE | ID: mdl-38535269
ABSTRACT
Tissue-engineered heart valves can grow, repair, and remodel after implantation, presenting a more favorable long-term solution compared to mechanical and porcine valves. Achieving functional engineered valve tissue requires the maturation of human cells seeded onto valve scaffolds under favorable growth conditions in bioreactors. The mechanical stress and strain on developing valve tissue caused by different pressure and flow conditions in bioreactors are currently unknown. The aim of this study is to quantify the wall shear stress (WSS) magnitude in heart valve prostheses under different valve geometries and bioreactor flow rates. To achieve this, this study used fluid-structure interaction simulations to obtain the valve's opening geometries during the systolic phase. These geometries were then used in computational fluid dynamics simulations with refined near-wall mesh elements and ranges of prescribed inlet flow rates. The data obtained included histograms and regression curves that characterized the distribution, peak, and median WSS for various flow rates and valve opening configurations. This study also found that the upper region of the valve near the commissures experienced higher WSS magnitudes than the rest of the valve.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article