Evidence map›Paper›PMID 33583946›Full record

ArticleExperimental mechanics2021

The Ring-Pull Assay for Mechanical Properties of Fibrous Soft Tissues - An Analysis of the Uniaxial Approximation and a Correction for Nonlinear Thick-Walled Tissues.

R R Mahutga, C T Schoephoerster, V H Barocas

Open access · greenAbstract read
In one paragraph

Article in Experimental mechanics, 2021. 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
0.5field-weighted citation impact, top 39% 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, 16 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

R R MahutgaDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
C T SchoephoersterDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
V H BarocasDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
University of Minnesota · US

Funding

Multiscale Model of Ascending Thoracic Aortic AneurysmU01HL139471 · NHLBI · UNIVERSITY OF MINNESOTA · PI BAROCAS, VICTOR H · 2018 to 2021
$1.6M
NHLBI NIH HHS U01 HL139471
6 · The paper itself

Abstract

backgroundThe ring-pull test, where a ring of tissue is hooked via two pins and stretched, is a popular biomechanical test, especially for small arteries. Although convenient and reliable, the ring test produces inhomogeneous strain, making determination of material parameters non-trivial.

objectiveTo determine correction factors between ring-pull-estimated and true tissue properties.

methodsA finite-element model of ring pulling was constructed for a sample with nonlinear, anisotropic mechanical behavior typical of arteries. The pin force and sample cross-section were used to compute an apparent modulus at small and large strain, which were compared to the specified properties. The resulting corrections were validated with experiments on porcine and ovine arteries. The correction was further applied to experiments on mouse aortic rings to determine material and failure properties.

resultsCalculating strain based on centerline stretch rather than inner-wall or outer-wall stretch afforded better estimation of tissue properties. Additional correction factors were developed based on ring wall thickness

conclusionsThe computed corrections improved estimation of tissue material properties for both the small-strain (toe) modulus and the large-strain (lockout) modulus. When measuring tensile strength, one should minimize

Indexed as

anisotropicarterial biomechanicscardiovascular biomechanicscomputational biomechanicslarge strainnonlinearsoft biological tissueuniaxial ring-pull

Identifiers

PMID33583946
PMCPMC7880234
OpenAlexW3044062981

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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.