Evidence map›Paper›PMID 31506861›Full record

ArticleBiomechanics and modeling in mechanobiology2020

Effect of fabric on the accuracy of computed tomography-based finite element analyses of the vertebra.

Yuanqiao Wu, Elise F Morgan

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

2 authors.

Yuanqiao WuDepartment of Mechanical Engineering, Boston University, 110 Cummington Mall, Boston, MA, 02215, USA. yqw0612@bu.edu.ORCID http://orcid.org/0000-0002-4577-585X
Elise F MorganDepartment of Mechanical Engineering, Boston University, 110 Cummington Mall, Boston, MA, 02215, USA.

Funding

3-D Visualization and Prediction of Vertebral FracturesR01AR054620 · NIAMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MORGAN, ELISE F · 2008 to 2025
$6.7M
3-D Visualization and Prediction of Vertebral FracturesR56AR054620 · NIAMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MORGAN, ELISE F · 2013 to 2013
$364k
Foundation for the National Institutes of Health AR054620National Science Foundation BES-9625030NIAMS NIH HHS R01 AR054620NIAMS NIH HHS R56 AR054620
6 · The paper itself

Abstract

Quantitative computed tomography (QCT)-based finite element (FE) models of the vertebra are widely used in studying spine biomechanics and mechanobiology, but their accuracy has not been fully established. Although the models typically assign material properties based only on local bone mineral density (BMD), the mechanical behavior of trabecular bone also depends on fabric. The goal of this study was to determine the effect of incorporating measurements of fabric on the accuracy of FE predictions of vertebral deformation. Accuracy was assessed by using displacement fields measured via digital volume correlation-applied to time-lapse microcomputed tomography (μCT)-as the gold standard. Two QCT-based FE models were generated from human L1 vertebrae (n = 11): the entire vertebral body and a cuboid-shaped portion of the trabecular centrum [dimensions: (20-30) × (15-20) × (15-20) mm

Indexed as

Finite Element AnalysisTomography, X-Ray ComputedBiomechanical PhenomenaBone DensityComputer SimulationElastic ModulusFemaleHumansMaleModels, BiologicalSpineBMDElastic propertyFabricFinite element analysisQuantitative computed tomographyVertebral body

Identifiers

PMID31506861
PMCPMC7062572

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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.