Evidence map›Paper›PMID 36031838›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2022

An introduction to the Ogden model in biomechanics: benefits, implementation tools and limitations.

Matthew J Lohr, Gabriella P Sugerman, Sotirios Kakaletsis, Emma Lejeune, Manuel K Rausch

Open access · greenAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 65 citations in OpenAlex.

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  16. Wireless Magnetic Robot for Precise Hierarchical Control of Tissue Deformation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  17. Article
  18. Bevel-Tip Needle Deflection Modeling, Simulation, and Validation in Multi-Layer Tissues.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2024
    Article
  19. Soft tissue material properties based on human abdominalFrontiers in bioengineering and biotechnology · 2024
    Article
  20. Review
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

5 authors at 2 institutions in 1 country.

Matthew J LohrDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0003-3944-6651
Gabriella P SugermanDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-9904-5257
Sotirios KakaletsisDepartment of Aerospace Engineering and Engineering Mechanics, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-9400-9265
Emma LejeuneDepartment of Mechanical Engineering, Boston University, Boston, MA, USA.
Manuel K RauschDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX, USA.ORCID 0000-0003-1337-6472
The University of Texas at Austin · USBoston University · US

Funding

Using an Electrospun Surrogate Model to Investigate Mechanisms of Tricuspid Valve MaladaptationR01HL165251 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI MANUEL Karl RAUSCH · 2022 to 2026
$4.3M
Human-Specific Prediction, Training, and Visualization Tools for the Tricuspid Valve from Existing DataR21HL161832 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI RAUSCH, MANUEL KARL · 2022 to 2023
$222k
NHLBI NIH HHS R01 HL165251NHLBI NIH HHS R21 HL161832
6 · The paper itself

Abstract

Constitutive models are important to biomechanics for two key reasons. First, constitutive modelling is an essential component of characterizing tissues' mechanical properties for informing theoretical and computational models of biomechanical systems. Second, constitutive models can be used as a theoretical framework for extracting and comparing key quantities of interest from material characterization experiments. Over the past five decades, the Ogden model has emerged as a popular constitutive model in soft tissue biomechanics with relevance to both informing theoretical and computational models and to comparing material characterization experiments. The goal of this short review is threefold. First, we will discuss the broad relevance of the Ogden model to soft tissue biomechanics and the general characteristics of soft tissues that are suitable for approximating with the Ogden model. Second, we will highlight exemplary uses of the Ogden model in brain tissue, blood clot and other tissues. Finally, we offer a tutorial on fitting the one-term Ogden model to pure shear experimental data via both an analytical approximation of homogeneous deformation and a finite-element model of the tissue domain. Overall, we anticipate that this short review will serve as a practical introduction to the use of the Ogden model in biomechanics. This article is part of the theme issue 'The Ogden model of rubber mechanics: Fifty years of impact on nonlinear elasticity'.

Indexed as

BrainModels, BiologicalBiomechanical PhenomenaElasticityFinite Element AnalysisStress, Mechanicalblood clotbrainconstitutive modellinghyperelasticityopen datathrombus

Identifiers

PMID36031838
PMCPMC9784101
OpenAlexW4293425635

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.