Evidence map›Paper›PMID 34797871›Full record

ArticlePloS one2021

Finite element analysis of the performance of additively manufactured scaffolds for scapholunate ligament reconstruction.

Nataliya Perevoshchikova, Kevin M Moerman, Bardiya Akhbari, Randy Bindra, Jayishni N Maharaj, David G Lloyd, Maria Gomez Cerezo, Amelia Carr, Cedryck Vaquette, David J Saxby

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 4 institutions in 3 countries.

Nataliya PerevoshchikovaGriffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Griffith University, Gold Coast, QLD, Australia.ORCID 0000-0002-4144-2863
Kevin M MoermanBiomechanics Research Centre, National University of Ireland Galway, Galway, Ireland.ORCID 0000-0003-3768-4269
Bardiya AkhbariCenter for Biomedical Engineering and School of Engineering, Brown University, Providence, Rhode Island, United States of America.
Randy BindraGriffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Griffith University, Gold Coast, QLD, Australia.
Jayishni N MaharajGriffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Griffith University, Gold Coast, QLD, Australia.
David G LloydGriffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Griffith University, Gold Coast, QLD, Australia.ORCID 0000-0002-0824-9682
Maria Gomez CerezoSchool of Dentistry, University of Queensland, Herston, QLD, Australia.
Amelia CarrSchool of Dentistry, University of Queensland, Herston, QLD, Australia.
Cedryck VaquetteSchool of Dentistry, University of Queensland, Herston, QLD, Australia.
David J SaxbyGriffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Griffith University, Gold Coast, QLD, Australia.
Griffith University · AUThe University of Queensland · AUBrown University · USOllscoil na Gaillimhe – University of Galway · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rupture of the scapholunate interosseous ligament can cause the dissociation of scaphoid and lunate bones, resulting in impaired wrist function. Current treatments (e.g., tendon-based surgical reconstruction, screw-based fixation, fusion, or carpectomy) may restore wrist stability, but do not address regeneration of the ruptured ligament, and may result in wrist functional limitations and osteoarthritis. Recently a novel multiphasic bone-ligament-bone scaffold was proposed, which aims to reconstruct the ruptured ligament, and which can be 3D-printed using medical-grade polycaprolactone. This scaffold is composed of a central ligament-scaffold section and features a bone attachment terminal at either end. Since the ligament-scaffold is the primary load bearing structure during physiological wrist motion, its geometry, mechanical properties, and the surgical placement of the scaffold are critical for performance optimisation. This study presents a patient-specific computational biomechanical evaluation of the effect of scaffold length, and positioning of the bone attachment sites. Through segmentation and image processing of medical image data for natural wrist motion, detailed 3D geometries as well as patient-specific physiological wrist motion could be derived. This data formed the input for detailed finite element analysis, enabling computational of scaffold stress and strain distributions, which are key predictors of scaffold structural integrity. The computational analysis demonstrated that longer scaffolds present reduced peak scaffold stresses and a more homogeneous stress state compared to shorter scaffolds. Furthermore, it was found that scaffolds attached at proximal sites experience lower stresses than those attached at distal sites. However, scaffold length, rather than bone terminal location, most strongly influences peak stress. For each scaffold terminal placement configuration, a basic metric was computed indicative of bone fracture risk. This metric was the minimum distance from the bone surface to the internal scaffold bone terminal. Analysis of this minimum bone thickness data confirmed further optimisation of terminal locations is warranted.

Indexed as

Biomechanical PhenomenaFinite Element AnalysisHumansLigaments, ArticularLunate BoneModels, BiologicalMovementOrthopedic ProceduresPlastic Surgery ProceduresScaphoid BoneWrist Joint

Identifiers

PMID34797871
PMCPMC8604338
OpenAlexW3213118298

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.