Evidence map›Paper›PMID 29288084›Full record

ArticleActa biomaterialia2018

Comparison of in vivo and ex vivo viscoelastic behavior of the spinal cord.

Nicole L Ramo, Snehal S Shetye, Femke Streijger, Jae H T Lee, Kevin L Troyer, Brian K Kwon, Peter Cripton, Christian M Puttlitz

Abstract readComparative Study
In one paragraph

Article in Acta biomaterialia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Bayesian Uncertainty Quantification for A Fractional-Order Model of the Human Ear.Journal of the Association for Research in Otolaryngology : JARO · 2026
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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

8 authors.

Nicole L RamoSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO, USA.
Snehal S ShetyeMcKay Orthopaedic Research Laboratory, University of Pennsylvania, Philadelphia, PA, USA.
Femke StreijgerInternational Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada.
Jae H T LeeDepartment of Orthopaedics, University of British Columbia, Vancouver, BC, Canada.
Kevin L TroyerDepartment of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.
Brian K KwonDepartment of Orthopaedics, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada.
Peter CriptonDepartment of Orthopaedics, University of British Columbia, Vancouver, BC, Canada; Department of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada.
Christian M PuttlitzSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO, USA; Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA; Department of Clinical Sciences, Colorado State University, Fort Collins, CO, USA. Electronic address: puttlitz@engr.colostate.edu.

Funding

Intubation Mechanics of the Stable and Unstable Cervical SpineR01EB012048 · NIBIB · COLORADO STATE UNIVERSITY · PI HINDMAN, BRADLEY JAY, PUTTLITZ, CHRISTIAN · 2011 to 2014
$1.3M
NIBIB NIH HHS R01 EB012048
6 · The paper itself

Abstract

Despite efforts to simulate the in vivo environment, post-mortem degradation and lack of blood perfusion complicate the use of ex vivo derived material models in computational studies of spinal cord injury. In order to quantify the mechanical changes that manifest ex vivo, the viscoelastic behavior of in vivo and ex vivo porcine spinal cord samples were compared. Stress-relaxation data from each condition were fit to a non-linear viscoelastic model using a novel characterization technique called the direct fit method. To validate the presented material models, the parameters obtained for each condition were used to predict the respective dynamic cyclic response. Both ex vivo and in vivo samples displayed non-linear viscoelastic behavior with a significant increase in relaxation with applied strain. However, at all three strain magnitudes compared, ex vivo samples experienced a higher stress and greater relaxation than in vivo samples. Significant differences between model parameters also showed distinct relaxation behaviors, especially in non-linear relaxation modulus components associated with the short-term response (0.1-1 s). The results of this study underscore the necessity of utilizing material models developed from in vivo experimental data for studies of spinal cord injury, where the time-dependent properties are critical. The ability of each material model to accurately predict the dynamic cyclic response validates the presented methodology and supports the use of the in vivo model in future high-resolution finite element modeling efforts. STATEMENT OF SIGNIFICANCE: Neural tissues (such as the brain and spinal cord) display time-dependent, or viscoelastic, mechanical behavior making it difficult to model how they respond to various loading conditions, including injury. Methods that aim to characterize the behavior of the spinal cord almost exclusively use ex vivo cadaveric or animal samples, despite evidence that time after death affects the behavior compared to that in a living animal (in vivo response). Therefore, this study directly compared the mechanical response of ex vivo and in vivo samples to quantify these differences for the first time. This will allow researchers to draw more accurate conclusions about spinal cord injuries based on ex vivo data (which are easier to obtain) and emphasizes the importance of future in vivo experimental animal work.

Indexed as

ElasticityAnimalsFemaleModels, TheoreticalNonlinear DynamicsSpinal CordStress, MechanicalSus scrofaViscosityConstitutive modelingIn vivoSpinal cordViscoelasticity

Identifiers

PMID29288084
PMCPMC5803400

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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.