Evidence map›Paper›PMID 35169187›Full record

ArticleScientific reports2022

Biomechanical duality of fracture healing captured using virtual mechanical testing and validated in ovine bones.

Brendan Inglis, Peter Schwarzenberg, Karina Klein, Brigitte von Rechenberg, Salim Darwiche, Hannah L Dailey

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Adaptive Image Segmentation Reveals Substantial Cortical Bone Remodeling During Early Fracture Repair.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2024
    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

6 authors at 2 institutions in 2 countries.

Brendan InglisDepartment of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, 18015, USA. bji219@lehigh.edu.
Peter SchwarzenbergDepartment of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, 18015, USA.
Karina KleinMusculoskeletal Research Unit (MSRU), Vetsuisse Faculty, University of Zurich, 8057, Zurich, Switzerland.
Brigitte von RechenbergMusculoskeletal Research Unit (MSRU), Vetsuisse Faculty, University of Zurich, 8057, Zurich, Switzerland.
Salim DarwicheMusculoskeletal Research Unit (MSRU), Vetsuisse Faculty, University of Zurich, 8057, Zurich, Switzerland.
Hannah L DaileyDepartment of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, 18015, USA. hannah.dailey@lehigh.edu.
Lehigh University · USUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone fractures commonly repair by forming a bridging structure called callus, which begins as soft tissue and gradually ossifies to restore rigidity to the bone. Virtual mechanical testing is a promising technique for image-based assessment of structural bone healing in both preclinical and clinical settings, but its accuracy depends on the validity of the material model used to assign tissue mechanical properties. The goal of this study was to develop a constitutive model for callus that captures the heterogeneity and biomechanical duality of the callus, which contains both soft tissue and woven bone. To achieve this, a large-scale optimization analysis was performed on 2363 variations of 3D finite element models derived from computed tomography (CT) scans of 33 osteotomized sheep under normal and delayed healing conditions. A piecewise material model was identified that produced high absolute agreement between virtual and physical tests by differentiating between soft and hard callus based on radiodensity. The results showed that the structural integrity of a healing long bone is conferred by an internal architecture of mineralized hard callus that is supported by interstitial soft tissue. These findings suggest that with appropriate material modeling, virtual mechanical testing is a reliable surrogate for physical biomechanical testing.

Indexed as

AnimalsBiomechanical PhenomenaBone and BonesConnective TissueFinite Element AnalysisFracture HealingFractures, BoneMechanical TestsOsteogenesisSheepTomography, X-Ray Computed

Identifiers

PMID35169187
PMCPMC8847550
OpenAlexW4212828021

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.