Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Jan;478(2257):20210607.
doi: 10.1098/rspa.2021.0607. Epub 2022 Jan 26.

Challenges in computational fluid dynamics applications for bone tissue engineering

Affiliations
Review

Challenges in computational fluid dynamics applications for bone tissue engineering

Tiago Pires et al. Proc Math Phys Eng Sci. 2022 Jan.

Abstract

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.

Keywords: biomechanics; bone tissue engineering; computational fluid dynamics; optimization; scaffolds.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Examples of possible scaffold geometries for bone tissue engineering (BTE): (a) lattice geometry (adapted from [5]) and (b) triply periodic minimum surfaces (TPMS) [6]. (Online version in colour.)
Figure 2.
Figure 2.
Fluidic properties studied using CFD simulations: (a) wall shear stress (WSS) along the walls of the scaffold (adapted from [26]) and (b) tortuosity of the fluid flow through the scaffold (adapted from [27]). (Online version in colour.)
Figure 3.
Figure 3.
Average WSS in scaffolds with different pore diameters and fluid inlet velocities (adapted from [32]). (Online version in colour.)
Figure 4.
Figure 4.
Surface shear strain of: (a) a 0–90 scaffold with no flow; (b) a 0–90 scaffold with flow; (c) a 0–90 offset scaffold with no flow; and (d) a 0–90 offset scaffold with flow (adapted from [60]). (Online version in colour.)
Figure 5.
Figure 5.
Maximum mechanical stress and maximum WSS in function of the scaffold porosity (adapted from [53]). (Online version in colour.)
Figure 6.
Figure 6.
Types of possible scaffold optimization: (a) topology optimization and (b) shape optimization.

References

    1. Porter JR, Ruckh TT, Popat KC. 2009. Bone tissue engineering: a review in bone biomimetics and drug delivery strategies. Biotechnol. Prog. 25, 1539-1560. (10.1002/btpr.246) - DOI - PubMed
    1. Innocentini MDM, Faleiros RK, Pisani R, Thijs I, Luyten J, Mullens S. 2010. Permeability of porous gelcast scaffolds for bone tissue engineering. J. Porous Mater. 17, 615-627. (10.1007/s10934-009-9331-2) - DOI
    1. Razi H, Checa S, Schaser KD, Duda GN. 2012. Shaping scaffold structures in rapid manufacturing implants: a modeling approach toward mechano-biologically optimized configurations for large bone defect. J. Biomed. Mater. Res. B Appl. Biomater. 100B, 1736-1745. (10.1002/jbm.b.32740) - DOI - PubMed
    1. Jung Y, Torquato S. 2005. Fluid permeabilities of triply periodic minimal surfaces. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 72, 1-8. (10.1103/PhysRevE.72.056319) - DOI - PubMed
    1. Campos Marin A, Lacroix D. 2015. The inter-sample structural variability of regular tissue-engineered scaffolds significantly affects the micromechanical local cell environment. Interface Focus 5, 20140097. (10.1098/rsfs.2014.0097) - DOI - PMC - PubMed

LinkOut - more resources