Evidence map›Paper›PMID 38374520›Full record

ArticleAnnals of biomedical engineering2024

Subject-Specific Geometry of FE Lumbar Spine Models for the Replication of Fracture Locations Using Dynamic Drop Tests.

Laura K Rieger, Alok Shah, Sylvia Schick, Dustin B Draper, Rachel Cutlan, Steffen Peldschus, Brian D Stemper

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In one paragraph

Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Can Multi-Vertebral CT-Based Finite Element Models Accurately Predict Strains? An In Vitro Validation Study.International journal for numerical methods in biomedical engineering · 2025
    Article
  4. Article
  5. 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 at 2 institutions in 2 countries.

Laura K RiegerBiomechanics and Accident Analysis, Ludwig-Maximilians-Universität (LMU), Munich, Germany. laura.rieger@med.uni-munechen.de.ORCID http://orcid.org/0009-0005-6119-9820
Alok ShahDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Sylvia SchickBiomechanics and Accident Analysis, Ludwig-Maximilians-Universität (LMU), Munich, Germany.
Dustin B DraperBiomechanics and Accident Analysis, Ludwig-Maximilians-Universität (LMU), Munich, Germany.
Rachel CutlanDepartment of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, USA.
Steffen PeldschusBiomechanics and Accident Analysis, Ludwig-Maximilians-Universität (LMU), Munich, Germany.
Brian D StemperDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Ludwig-Maximilians-Universität München · DEMarquette University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For traumatic lumbar spine injuries, the mechanisms and influence of anthropometrical variation are not yet fully understood under dynamic loading. Our objective was to evaluate whether geometrically subject-specific explicit finite element (FE) lumbar spine models based on state-of-the-art clinical CT data combined with general material properties from the literature could replicate the experimental responses and the fracture locations via a dynamic drop tower-test setup. The experimental CT datasets from a dynamic drop tower-test setup were used to create anatomical details of four lumbar spine models (T12 to L5). The soft tissues from THUMS v4.1 were integrated by morphing. Each model was simulated with the corresponding loading and boundary conditions from the dynamic lumbar spine tests that produced differing injuries and injury locations. The simulations resulted in force, moment, and kinematic responses that effectively matched the experimental data. The pressure distribution within the models was used to compare the fracture occurrence and location. The spinal levels that sustained vertebral body fracture in the experiment showed higher simulation pressure values in the anterior elements than those in the levels that did not fracture in the reference experiments. Similarly, the spinal levels that sustained posterior element fracture in the experiments showed higher simulation pressure values in the vertebral posterior structures compared to those in the levels that did not sustain fracture. Our study showed that the incorporation of the spinal geometry and orientation could be used to replicate the fracture type and location under dynamic loading. Our results provided an understanding of the lumbar injury mechanisms and knowledge on the load thresholds that could be used for injury prediction with explicit FE lumbar spine models.

Indexed as

Spinal FracturesSpinal InjuriesBiomechanical PhenomenaFinite Element AnalysisHumansLumbar VertebraeMechanical PhenomenaAnthropometrical variationsDrop testFEMLumbarSpinal geometryVertebral body fracture

Identifiers

PMID38374520
OpenAlexW4391942886

What OpenQuestion holds

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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.