Evidence map›Paper›PMID 28797066›Full record

ArticlePloS one2017

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

Paul F Egan, Veronica C Gonella, Max Engensperger, Stephen J Ferguson, Kristina Shea

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Bioactive Glass Microscaffolds Fabricated by Two-Photon Lithography.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  6. Review
  7. Article
  8. Reasoning on Pore Terminology in 3D Bioprinting.Gels (Basel, Switzerland) · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Challenges in computational fluid dynamics applications for bone tissue engineering.Proceedings. Mathematical, physical, and engineering sciences · 2022
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Paul F EganDepartment of Health Sciences and Technology, Institute of Biomechanics, Swiss Federal Institute of Technology, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-1252-5819
Veronica C GonellaBiomedical Computer Science and Mechatronics, UMIT The Health and Life Sciences University, Hall in Tirol, Austria.
Max EngenspergerDepartment of Mechanical and Process Engineering, Swiss Federal Institute of Technology, Zurich, Switzerland.
Stephen J FergusonDepartment of Health Sciences and Technology, Institute of Biomechanics, Swiss Federal Institute of Technology, Zurich, Switzerland.
Kristina SheaDepartment of Mechanical and Process Engineering, Swiss Federal Institute of Technology, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue scaffolds provide structural support while facilitating tissue growth, but are challenging to design due to diverse property trade-offs. Here, a computational approach was developed for modeling scaffolds with lattice structures of eight different topologies and assessing properties relevant to bone tissue engineering applications. Evaluated properties include porosity, pore size, surface-volume ratio, elastic modulus, shear modulus, and permeability. Lattice topologies were generated by patterning beam-based unit cells, with design parameters for beam diameter and unit cell length. Finite element simulations were conducted for each topology and quantified how elastic modulus and shear modulus scale with porosity, and how permeability scales with porosity cubed over surface-volume ratio squared. Lattices were compared with controlled properties related to porosity and pore size. Relative comparisons suggest that lattice topology leads to specializations in achievable properties. For instance, Cube topologies tend to have high elastic and low shear moduli while Octet topologies have high shear moduli and surface-volume ratios but low permeability. The developed method was utilized to analyze property trade-offs as beam diameter was altered for a given topology, and used to prototype a 3D printed lattice embedded in an interbody cage for spinal fusion treatments. Findings provide a basis for modeling and understanding relative differences among beam-based lattices designed to facilitate bone tissue growth.

Indexed as

Biocompatible MaterialsPrinting, Three-DimensionalTissue ScaffoldsComputer SimulationElastic ModulusMaterials TestingPermeabilityPorosityTissue EngineeringBiocompatible Materials

Identifiers

PMID28797066
PMCPMC5552288

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.