Evidence map›Paper›PMID 33348259›Full record

ArticleJournal of biomechanics2021

Estimation of load conditions and strain distribution for in vivo murine tibia compression loading using experimentally informed finite element models.

Edmund Pickering, Matthew J Silva, Peter Delisser, Michael D Brodt, YuanTong Gu, Peter Pivonka

Abstract read
In one paragraph

Article in Journal of biomechanics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Edmund PickeringSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia. Electronic address: ei.pickering@qut.edu.au.
Matthew J SilvaDepartment of Orthopaedic Surgery, Musculoskeletal Research Center, Washington University, Saint Louis, MO, USA; Department of Biomedical Engineering, Washington University, Saint Louis, MO, USA.
Peter DelisserUniversity of Bristol School of Veterinary Science, Bristol, UK; Veterinary Specialist Services, Brisbane, QLD, Australia.
Michael D BrodtDepartment of Orthopaedic Surgery, Musculoskeletal Research Center, Washington University, Saint Louis, MO, USA.
YuanTong GuSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia.
Peter PivonkaSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia.

Funding

Response of the Osteoporotic Skeleton to Mechanical LoadingR01AR047867 · NIAMS · WASHINGTON UNIVERSITY · PI MATTHEW J SILVA · 2001 to 2026
$8.4M
Resource Based Center for Musculoskeletal Biology and Medicine (Overall Application)P30AR074992 · NIAMS · WASHINGTON UNIVERSITY · PI MATTHEW J SILVA · 2019 to 2026
$6.8M
The Role of the Osteoblast Secretome in Bone FormationP30AR057235 · NIAMS · WASHINGTON UNIVERSITY · PI SILVA, MATTHEW J · 2009 to 2018
$5.7M
NIAMS NIH HHS P30 AR057235NIAMS NIH HHS P30 AR074992NIAMS NIH HHS R01 AR047867
6 · The paper itself

Abstract

The murine tibia compression model, is the gold standard for studying bone adaptation due to mechanical loading in vivo. Currently, a key limitation of the experimental protocol and associated finite element (FE) models is that the exact load transfer, and consequently the loading conditions on the tibial plateau, is unknown. Often in FE models, load is applied to the tibial plateau based on inferences from micro-computed tomography (μCT). Experimental models often use a single strain gauge to assess the three-dimensional (3D) loading state. However, a single strain gauge is insufficient to validate such FE models. To address this challenge, we develop an experimentally calibrated method for identifying the load application region on the tibial plateau based upon measurements from three strain gauges. To achieve this, axial compression was conducted on mouse tibiae (n=3), with strains gauges on three surfaces. FE simulations were performed to compute the strains at the gauge locations as a function of a variable load location. By minimising the error between experimental and FE strains, the precise load location was identified; this was found to vary between tibia specimens. It was further shown that commonly used FE loading conditions, found in literature, did not replicate the experimental strain distribution, highlighting the importance of load calibration. This work provides critical insights into how load is transferred to the tibial plateau. Importantly, this work develops an experimentally informed technique for loading the tibial plateau in FE models.

Indexed as

TibiaAnimalsFinite Element AnalysisMiceStress, MechanicalWeight-BearingX-Ray MicrotomographyBone adaptationBone mechanicsFinite element modellingMouse tibia loadingStrain gauging

Identifiers

PMID33348259
PMCPMC7856106

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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.