Evidence map›Paper›PMID 29278746›Full record

ArticleBone2018

Accuracy of MRI-based finite element assessment of distal tibia compared to mechanical testing.

Chamith S Rajapakse, Elizabeth A Kobe, Alexandra S Batzdorf, Michael W Hast, Felix W Wehrli

Abstract read
In one paragraph

Article in Bone, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  5. Review
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  10. Review
  11. Article
  12. Article
  13. Biomechanical models: key considerations in study design.OTA international : the open access journal of orthopaedic trauma · 2021
    Article
  14. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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.

Chamith S RajapakseDepartment of Radiology, University of Pennsylvania, United States; Department of Orthopaedic Surgery, University of Pennsylvania, United States. Electronic address: chamith@mail.med.upenn.edu.
Elizabeth A KobeDepartment of Radiology, University of Pennsylvania, United States.
Alexandra S BatzdorfDepartment of Radiology, University of Pennsylvania, United States.
Michael W HastDepartment of Orthopaedic Surgery, University of Pennsylvania, United States.
Felix W WehrliDepartment of Radiology, University of Pennsylvania, United States.

Funding

Overall: Resource-based Center for Musculoskeletal Disorders Research (Overall Application)P30AR069619 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI LOUIS J SOSLOWSKY · 2016 to 2026
$9.1M
Clinical Assessment of Hip Fracture Biomechanics using MRIR01AR068382 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2015 to 2019
$1.8M
MRI-Based Assessment of Structural and Mechanical Implications of OsteoporosisR01AG038693 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WEHRLI, FELIX W · 2011 to 2014
$1.6M
Computational Biomechanics for Prediction of Osteoporotic Vertebral Fracture RiskK25AR060283 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2011 to 2014
$491k
NIAMS NIH HHS K25 AR060283NIAMS NIH HHS P30 AR069619NIAMS NIH HHS R01 AR068382NIA NIH HHS R01 AG038693
6 · The paper itself

Abstract

High-resolution MRI-derived finite element analysis (FEA) has been used in translational research to estimate the mechanical competence of human bone. However, this method has yet to be validated adequately under in vivo imaging spatial resolution or signal-to-noise conditions. We therefore compared MRI-based metrics of bone strength to those obtained from direct, mechanical testing. The study was conducted on tibiae from 17 human donors (12 males and five females, aged 33 to 88years) with no medical history of conditions affecting bone mineral homeostasis. A 25mm segment from each distal tibia underwent MR imaging in a clinical 3-Tesla scanner using a fast large-angle spin-echo (FLASE) sequence at 0.137mm×0.137mm×0.410mm voxel size, in accordance with in vivo scanning protocol. The resulting high-resolution MR images were processed and used to generate bone volume fraction maps, which served as input for the micro-level FEA model. Simulated compression was applied to compute stiffness, yield strength, ultimate strength, modulus of resilience, and toughness, which were then compared to metrics obtained from mechanical testing. Moderate to strong positive correlations were found between computationally and experimentally derived values of stiffness (R

Indexed as

Finite Element AnalysisMagnetic Resonance ImagingStress, MechanicalAdultAgedAged, 80 and overBiomechanical PhenomenaFemaleHumansMaleMiddle AgedNonlinear DynamicsTibiaDistal tibiaFinite element analysisMechanical testingMRI

Identifiers

PMID29278746
PMCPMC5803422

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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.