Evidence map›Paper›PMID 32572730›Full record

ArticleAnnals of biomedical engineering2020

The Application of Digital Volume Correlation (DVC) to Evaluate Strain Predictions Generated by Finite Element Models of the Osteoarthritic Humeral Head.

Jonathan Kusins, Nikolas Knowles, Melanie Columbus, Sara Oliviero, Enrico Dall'Ara, George S Athwal, Louis M Ferreira

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

7 authors.

Jonathan KusinsDepartment of Mechanical and Materials Engineering, Western University, London, ON, Canada.
Nikolas KnowlesDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Melanie ColumbusUniversity of Calgary, Calgary, AB, Canada.
Sara OlivieroDepartment of Oncology and Metabolism and INSIGNEO Institute for In Silico Medicine, University of Sheffield, Sheffield, UK.
Enrico Dall'AraDepartment of Oncology and Metabolism and INSIGNEO Institute for In Silico Medicine, University of Sheffield, Sheffield, UK.
George S AthwalRoth|McFarlane Hand and Upper Limb Centre, St. Joseph's Health Care, London, ON, Canada.
Louis M FerreiraDepartment of Mechanical and Materials Engineering, Western University, London, ON, Canada. lferreir@uwo.ca.

Funding

Engineering and Physical Sciences Research Council EP/K03877X/1Medical Research Council MR/P020941/1
6 · The paper itself

Abstract

Continuum-level finite element models (FEMs) of the humerus offer the ability to evaluate joint replacement designs preclinically; however, experimental validation of these models is critical to ensure accuracy. The objective of the current study was to quantify experimental full-field strain magnitudes within osteoarthritic (OA) humeral heads by combining mechanical loading with volumetric microCT imaging and digital volume correlation (DVC). The experimental data was used to evaluate the accuracy of corresponding FEMs. Six OA humeral head osteotomies were harvested from patients being treated with total shoulder arthroplasty and mechanical testing was performed within a microCT scanner. MicroCT images (33.5 µm isotropic voxels) were obtained in a pre- and post-loaded state and BoneDVC was used to quantify full-field experimental strains (≈ 1 mm nodal spacing, accuracy = 351 µstrain, precision = 518 µstrain). Continuum-level FEMs with two types of boundary conditions (BCs) were simulated: DVC-driven and force-driven. Accuracy of the FEMs was found to be sensitive to the BC simulated with better agreement found with the use of DVC-driven BCs (slope = 0.83, r

Indexed as

AgedAged, 80 and overArthroplastyCancellous BoneFemaleFinite Element AnalysisHumansHumeral HeadMaleMiddle AgedModels, BiologicalOsteoarthritisShoulder JointStress, MechanicalX-Ray MicrotomographyArthroplastyCT-compatible loadingDigital volume correlationHumerus FEMOsteoarthritisPatient-specific finite element analysisShoulder

Identifiers

PMID32572730
PMCPMC7723934

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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.