Evidence map›Paper›PMID 29298959›Full record

ArticleJournal of the Royal Society, Interface2018

Lumbar model generator: a tool for the automated generation of a parametric scalable model of the lumbar spine.

C E Lavecchia, D M Espino, K M Moerman, K M Tse, D Robinson, P V S Lee, D E T Shepherd

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Computational Challenges in Tissue Engineering for the Spine.Bioengineering (Basel, Switzerland) · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. 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

7 authors.

C E LavecchiaDepartment of Mechanical Engineering, University of Birmingham, Birmingham, UK.ORCID 0000-0002-7755-8710
D M EspinoDepartment of Mechanical Engineering, University of Birmingham, Birmingham, UK.
K M MoermanBiomechatronics group, Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-3768-4269
K M TseDepartment of Biomechanical Engineering, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-8170-0775
D RobinsonDepartment of Biomechanical Engineering, University of Melbourne, Melbourne, Australia.ORCID 0000-0003-1486-6991
P V S LeeDepartment of Biomechanical Engineering, University of Melbourne, Melbourne, Australia.
D E T ShepherdDepartment of Mechanical Engineering, University of Birmingham, Birmingham, UK d.e.shepherd@bham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low back pain is a major cause of disability and requires the development of new devices to treat pathologies and improve prognosis following surgery. Understanding the effects of new devices on the biomechanics of the spine is crucial in the development of new effective and functional devices. The aim of this study was to develop a preliminary parametric, scalable and anatomically accurate finite-element model of the lumbar spine allowing for the evaluation of the performance of spinal devices. The principal anatomical surfaces of the lumbar spine were first identified, and then accurately fitted from a previous model supplied by S14 Implants (Bordeaux, France). Finally, the reconstructed model was defined according to 17 parameters which are used to scale the model according to patient dimensions. The developed model, available as a toolbox named the lumbar model generator, enables generating a population of models using subject-specific dimensions obtained from data scans or averaged dimensions evaluated from the correlation analysis. This toolbox allows patient-specific assessment, taking into account individual morphological variation. The models have applications in the design process of new devices, evaluating the biomechanics of the spine and helping clinicians when deciding on treatment strategies.

Indexed as

Low Back PainLumbar VertebraeModels, BiologicalFinite Element AnalysisHumansbiomechanicsfinite-element analysislumbar spinemorphingparametric modelspine

Identifiers

PMID29298959
PMCPMC5805988

What OpenQuestion holds

Textmetadata
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.