Evidence map›Paper›PMID 28204985›Full record

ArticleBiomechanics and modeling in mechanobiology2017

Comparison of strain measurement in the mouse forearm using subject-specific finite element models, strain gaging, and digital image correlation.

Mark Begonia, Mark Dallas, Mark L Johnson, Ganesh Thiagarajan

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Methodological aspects ofJournal of musculoskeletal & neuronal interactions · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mechanical stress regulates bone regulatory gene expression independent of estrogen and vitamin D deficiency in rats.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021
    Article
  7. Review
  8. Review
  9. 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

4 authors.

Mark BegoniaDepartment of Civil and Mechanical Engineering, University of Missouri-Kansas City, 350K Robert H. Flarsheim Hall, 5110 Rockhill Road, Kansas City, MO, 64110, USA.
Mark DallasDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Room 3143, 650 E 25th Street, Kansas City, MO, 64108, USA.
Mark L JohnsonDepartment of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Room 3143, 650 E 25th Street, Kansas City, MO, 64108, USA.
Ganesh ThiagarajanDepartment of Civil and Mechanical Engineering, University of Missouri-Kansas City, 350K Robert H. Flarsheim Hall, 5110 Rockhill Road, Kansas City, MO, 64110, USA. ganesht@umkc.edu.

Funding

Transgenic and Mechanical Loading CoreP01AG039355 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI BONEWALD, LYNDA F · 2012 to 2024
$19.3M
THE ROLE OF LRP5 IN BONE RESPONSE TO MECHANICAL LOADINGR01AR053949 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI JOHNSON, MARK LOUIS · 2007 to 2011
$1.6M
NIAMS NIH HHS R01 AR053949NIA NIH HHS P01 AG039355
6 · The paper itself

Abstract

Mechanical loading in bone leads to the activation of bone-forming pathways that are most likely associated with a minimum strain threshold being experienced by the osteocyte. To investigate the correlation between cellular response and mechanical stimuli, researchers must develop accurate ways to measure/compute strain both externally on the bone surface and internally at the osteocyte level. This study investigates the use of finite element (FE) models to compute bone surface strains on the mouse forearm. Strains from three FE models were compared to data collected experimentally through strain gaging and digital image correlation (DIC). Each FE model was assigned subject-specific bone properties and consisted of one-dimensional springs representing the interosseous membrane. After three-point bending was performed on the ulnae and radii, moment of inertia was determined from microCT analysis of the bone region between the supports and then used along with standard beam analyses to calculate the Young's modulus. Non-contact strain measurements from DIC were determined to be more suitable for validating numerical results than experimental data obtained through conventional strain gaging. When comparing strain responses in the three ulnae, we observed a 3-14% difference between numerical and DIC strains while the strain gage values were 37-56% lower than numerical values. This study demonstrates a computational approach for capturing bone surface strains in the mouse forearm. Ultimately, strains from these macroscale models can be used as inputs for microscale and nanoscale FE models designed to analyze strains directly in the osteocyte lacunae.

Indexed as

Models, BiologicalStress, MechanicalX-Ray MicrotomographyAnimalsFinite Element AnalysisForelimbMiceRadiusUlnaDigital image correlationFinite element analysisForearmMechanical loadingStrainStrain gage

Identifiers

PMID28204985
PMCPMC6513313

What OpenQuestion holds

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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.