Evidence map›Paper›PMID 38683101›Full record

ArticleJournal of biomechanical engineering2024

In Vitro Assessment of Knee Joint Biomechanics Using a Virtual Anterior Cruciate Ligament Reconstruction.

Samira Vakili, Thiago Vivacqua, Alan Getgood, Ryan Willing

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomechanical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Samira VakiliSchool of Biomedical Engineering, Western University, 1151 Richmond Street N, London, ON N6A 5B9, Canada;Western's Bone and Joint Institute, Western University, London, ON N6A 5B9, Canada.ORCID 0000-0001-7954-5086
Thiago VivacquaFowler Kennedy Sport Medicine Clinic, Department of Surgery, Western University, 3M Centre, London, ON N5A 3K7, Canada.
Alan GetgoodDepartment of Orthopaedic Surgery, London Health Sciences Centre University Hospital, 339 Windermere Road, London, ON N6A 5A5, Canada;Fowler Kennedy Sport Medicine Clinic, Department of Surgery, Western University, 3M Centre, London, ON N5A 3K7, Canada;Western's Bone and Joint Institute, Western University, London, ON N6A 5A5, Canada.
Ryan WillingSchool of Biomedical Engineering, Western University, 1151 Richmond Street N, London, ON N6A 5B9, Canada;Department of Mechanical & Materials Engineering, Western University, 1151 Richmond Street N, London, ON N6A 5B9, Canada;Western's Bone and Joint Institute, Western University, London, ON N6A 5A5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the biomechanical impact of injuries and reconstruction of the anterior cruciate ligament (ACL) is vital for improving surgical treatments that restore normal knee function. The purpose of this study was to develop a technique that enables parametric analysis of the effect of the ACL reconstruction (ACLR) in cadaver knees, by replacing its contributions with that of a specimen-specific virtual ACLR that can be enabled, disabled, or modified. Twelve ACLR reconstructed knees were mounted onto a motion simulator. In situ ACLR graft forces were measured using superposition, and these data were used to design specimen-specific virtual ACLRs that would yield the same ligament force-elongation behaviors. Tests were then repeated using the virtual ACLR in place of the real ACLR and following that in ACL deficient knee by disabling the virtual ACLR. In comparison to the ACL deficient state, the virtual ACLRs were able to restore knee stability to the same extent as real ACLRs. The average differences between the anterior tibial translation (ATT) of the virtual ACLR versus the real ACLR were +1.6 ± 0.9 mm (p = 0.4), +2.1 ± 0.4 mm (p = 0.4), and +1.0 ± 0.9 mm (p = 0.4) during Anterior drawer, Lachman and Pivot-shift tests, respectively, which is small in comparison to the full ATT range of motion (ROM) of these knees. Therefore, we conclude that a virtual ACLR can be used in place of real ACLR during biomechanical testing of cadaveric knees. This capability opens the door for future studies that can leverage parameterization of the ACLR for surgical design optimization.

Indexed as

Anterior Cruciate Ligament ReconstructionKnee JointMechanical PhenomenaAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedRange of Motion, Articularanterior cruciate ligament reconstructioncadaver kneejoint motion simulatorknee stabilityparametric analysisvirtual ligament

Identifiers

PMID38683101
PMCPMC12501995

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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.