Evidence map›Paper›PMID 33523337›Full record

ArticleBiomechanics and modeling in mechanobiology2021

Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different finite element models.

S Oliviero, M Roberts, R Owen, G C Reilly, I Bellantuono, E Dall'Ara

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 citing papers in PubMed.

  1. Review
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  11. Mechanostat parameters estimated from time-lapsedFrontiers in bioengineering and biotechnology · 2023
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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.

S OlivieroDepartment of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK.
M RobertsDepartment of Mechanical Engineering, University of Sheffield, Sheffield, UK.
R OwenINSIGNEO Institute for in Silico Medicine, University of Sheffield, Sheffield, UK.
G C ReillyINSIGNEO Institute for in Silico Medicine, University of Sheffield, Sheffield, UK.
I BellantuonoDepartment of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK.
E Dall'AraDepartment of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK. e.dallara@sheffield.ac.uk.ORCID http://orcid.org/0000-0003-1471-5077

Funding

Engineering and Physical Sciences Research Council EP/K03877X/1Engineering and Physical Sciences Research Council EP/N509735/1Engineering and Physical Sciences Research Council EP/S032940/1Medical Research Council MR/P020941/1National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/R001073/1
6 · The paper itself

Abstract

New treatments for bone diseases require testing in animal models before clinical translation, and the mouse tibia is among the most common models. In vivo micro-Computed Tomography (microCT)-based micro-Finite Element (microFE) models can be used for predicting the bone strength non-invasively, after proper validation against experimental data. Different modelling techniques can be used to estimate the bone properties, and the accuracy associated with each is unclear. The aim of this study was to evaluate the ability of different microCT-based microFE models to predict the mechanical properties of the mouse tibia under compressive load. Twenty tibiae were microCT scanned at 10.4 µm voxel size and subsequently compressed at 0.03 mm/s until failure. Stiffness and failure load were measured from the load-displacement curves. Different microFE models were generated from each microCT image, with hexahedral or tetrahedral mesh, and homogeneous or heterogeneous material properties. Prediction accuracy was comparable among models. The best correlations between experimental and predicted mechanical properties, as well as lower errors, were obtained for hexahedral models with homogeneous material properties. Experimental stiffness and predicted stiffness were reasonably well correlated (R

Indexed as

Finite Element AnalysisModels, BiologicalX-Ray MicrotomographyAnimalsBiomechanical PhenomenaFemaleMiceMice, Inbred BALB CMice, Inbred C57BLRegression AnalysisStress, MechanicalTibiaWeight-BearingFailure loadFinite elementMicroCTMouse tibiaStiffnessValidation

Identifiers

PMID33523337
PMCPMC8154847

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Registered trials

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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.