Evidence map›Paper›PMID 32388799›Full record

ArticleAnnals of biomedical engineering2021

Elastic Modulus of Woven Bone: Correlation with Evolution of Porosity and X-ray Greyscale.

J Mora-Macías, P García-Florencio, A Pajares, P Miranda, J Domínguez, E Reina-Romo

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Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

J Mora-MacíasDepartment of Mining, Mechanical, Energy and Construction Engineering, University of Huelva, Huelva, Spain. juan.mora@dimme.uhu.es.ORCID http://orcid.org/0000-0002-7997-9789
P García-FlorencioDepartment of Mechanical and Manufacturing Engineering, University of Seville, Seville, Spain.
A PajaresDepartment of Mechanical, Energy and Materials Engineering, University of Extremadura, Badajoz, Spain.
P MirandaDepartment of Mechanical, Energy and Materials Engineering, University of Extremadura, Badajoz, Spain.
J DomínguezDepartment of Mechanical and Manufacturing Engineering, University of Seville, Seville, Spain.
E Reina-RomoDepartment of Mechanical and Manufacturing Engineering, University of Seville, Seville, Spain.

Funding

Junta de Andalucía P09-TEP-5195Junta de Andalucía US-1261691Ministerio de Economía y Competitividad DPI2017-82501-P
6 · The paper itself

Abstract

The woven bone created during the healing of bone regeneration processes is characterized as being extremely inhomogeneous and having a variable stiffness that increases with time. Therefore, it is important to study how the mechanical properties of woven bone are dependent on its microarchitecture and especially on its porosity and mineral content. The porosity and the x-ray greyscale of specimens taken from bone transport studies in sheep were assessed by means of ex vivo imaging. Our study demonstrates that the porosity of the woven bone in the distraction area diminishes during the healing process from 73.3% 35 days after surgery to 31.9% 525 days after surgery. In addition, the woven bone's porosity is negatively correlated with its Young's modulus. The x-ray greyscale, was measured as an indicator of the level of mineralization of the woven bone. Greyscale index has been demonstrated to be inversely proportional to porosity and to increase to up to 60-80% of the level in cortical bone. The results of this study may contribute to the development of micromechanical models of woven bone and improvements in in silico modelling.

Indexed as

AnimalsBone and BonesElastic ModulusHindlimbPorositySheepX-RaysBone transportElastic modulusGreyscaleMineralizationPore areaPorosityWoven boneX-ray

Identifiers

PMID32388799

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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.