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Challenges in computational fluid dynamics applications for bone tissue engineering.
Pires, Tiago; Dunlop, John W C; Fernandes, Paulo Rui; Castro, André P G.
Afiliación
  • Pires T; IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
  • Dunlop JWC; MorphoPhysics Group, Department of the Chemistry and Physics of Materials, University of Salzburg, Salzburg, Austria.
  • Fernandes PR; IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
  • Castro APG; IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
Proc Math Phys Eng Sci ; 478(2257): 20210607, 2022 Jan.
Article en En | MEDLINE | ID: mdl-35153613
Bone injuries or defects that require invasive surgical treatment are a serious clinical issue, particularly when it comes to treatment success and effectiveness. Accordingly, bone tissue engineering (BTE) has been researching the use of computational fluid dynamics (CFD) analysis tools to assist in designing optimal scaffolds that better promote bone growth and repair. This paper aims to offer a comprehensive review of recent studies that use CFD analysis in BTE. The mechanical and fluidic properties of a given scaffold are coupled to each other via the scaffold architecture, meaning an optimization of one may negatively affect the other. For example, designs that improve scaffold permeability normally result in a decreased average wall shear stress. Linked with these findings, it appears there are very few studies in this area that state a specific application for their scaffolds and those that do are focused on in vitro bioreactor environments. Finally, this review also demonstrates a scarcity of studies that combine CFD with optimization methods to improve scaffold design. This highlights an important direction of research for the development of the next generation of BTE scaffolds.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc Math Phys Eng Sci Año: 2022 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc Math Phys Eng Sci Año: 2022 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Reino Unido