Evidence map›Paper›PMID 26722213›Full record

ArticleInternational journal of biological sciences2016

A Mechanobiology-based Algorithm to Optimize the Microstructure Geometry of Bone Tissue Scaffolds.

Antonio Boccaccio, Antonio Emmanuele Uva, Michele Fiorentino, Luciano Lamberti, Giuseppe Monno

Abstract read
In one paragraph

Article in International journal of biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  15. Challenges in computational fluid dynamics applications for bone tissue engineering.Proceedings. Mathematical, physical, and engineering sciences · 2022
    Review
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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.

Antonio BoccaccioDipartimento di Meccanica, Matematica e Management, Politecnico di Bari, 70126 Bari, Italy.
Antonio Emmanuele UvaDipartimento di Meccanica, Matematica e Management, Politecnico di Bari, 70126 Bari, Italy.
Michele FiorentinoDipartimento di Meccanica, Matematica e Management, Politecnico di Bari, 70126 Bari, Italy.
Luciano LambertiDipartimento di Meccanica, Matematica e Management, Politecnico di Bari, 70126 Bari, Italy.
Giuseppe MonnoDipartimento di Meccanica, Matematica e Management, Politecnico di Bari, 70126 Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complexity of scaffold geometries and biological mechanisms involved in the bone generation process make the design of scaffolds a quite challenging task. The most common approaches utilized in bone tissue engineering require costly protocols and time-consuming experiments. In this study we present an algorithm that, combining parametric finite element models of scaffolds with numerical optimization methods and a computational mechano-regulation model, is able to predict the optimal scaffold microstructure. The scaffold geometrical parameters are perturbed until the best geometry that allows the largest amounts of bone to be generated, is reached. We study the effects of the following factors: (1) the shape of the pores; (2) their spatial distribution; (3) the number of pores per unit area. The optimal dimensions of the pores have been determined for different values of scaffold Young's modulus and compression loading acting on the scaffold upper surface. Pores with rectangular section were predicted to lead to the formation of larger amounts of bone compared to square section pores; similarly, elliptic pores were predicted to allow the generation of greater amounts of bone compared to circular pores. The number of pores per unit area appears to have rather negligible effects on the bone regeneration process. Finally, the algorithm predicts that for increasing loads, increasing values of the scaffold Young's modulus are preferable. The results shown in the article represent a proof-of-principle demonstration of the possibility to optimize the scaffold microstructure geometry based on mechanobiological criteria.

Indexed as

Bone and BonesTissue ScaffoldsAlgorithmsBiophysicsHumansModels, TheoreticalTissue EngineeringMechanobiologyMechano-regulation Algorithm.Numerical OptimizationScaffold Microstructure

Identifiers

PMID26722213
PMCPMC4679394

What OpenQuestion holds

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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.