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Computationally designed lattices with tuned properties for tissue engineering using 3D printing.

Paul F Egan1, Veronica C Gonella2, Max Engensperger3

  • 1Department of Health Sciences and Technology, Institute of Biomechanics, Swiss Federal Institute of Technology, Zurich, Switzerland.

Plos One
|August 11, 2017
PubMed
Summary

This study introduces a computational method to model and assess lattice scaffolds for bone tissue engineering. Different lattice topologies offer unique property specializations, aiding in scaffold design for applications like spinal fusion cages.

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Area of Science:

  • Biomaterials Engineering
  • Computational Modeling
  • Tissue Engineering

Background:

  • Designing effective tissue scaffolds involves balancing structural support with biological integration.
  • Lattice structures offer tunable properties but require sophisticated modeling for optimization.
  • Bone tissue engineering demands scaffolds with specific mechanical and porous characteristics.

Purpose of the Study:

  • To develop a computational approach for modeling and evaluating lattice scaffolds for bone tissue engineering.
  • To quantify the relationships between lattice topology, design parameters, and scaffold properties.
  • To compare different lattice topologies for their suitability in bone regeneration applications.

Main Methods:

  • Generation of eight lattice topologies using beam-based unit cells with variable beam diameter and unit cell length.
  • Finite element simulations to quantify elastic modulus, shear modulus, and permeability.
  • Analysis of property scaling with porosity and surface-volume ratio.

Main Results:

  • Elastic and shear moduli were found to scale with porosity.
  • Permeability scales with porosity cubed over surface-volume ratio squared.
  • Specific topologies exhibited distinct property profiles: Cube lattices favored high elastic moduli, while Octet lattices offered high shear moduli and surface-volume ratios with low permeability.

Conclusions:

  • Lattice topology significantly influences scaffold properties, enabling specialization for specific tissue engineering needs.
  • The computational method effectively models property trade-offs and facilitates scaffold design.
  • Findings support the use of tailored lattice scaffolds in orthopedic applications, including 3D printed interbody cages for spinal fusion.