Evidence map›Paper›PMID 39205348›Full record

ArticleJournal of the mechanical behavior of biomedical materials2024

A hyper-viscoelastic uniaxial characterization of collagenous embolus analogs in acute ischemic stroke.

Jose L Monclova, Daniel J Walsh, Terrell Barraclough, Madelyn E Hummel, Ian Goetz, Vikas Kannojiya, Francesco Costanzo, Scott D Simon, Keefe B Manning

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Jose L MonclovaDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Daniel J WalshDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Terrell BarracloughDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Madelyn E HummelDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Ian GoetzDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Vikas KannojiyaDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Francesco CostanzoDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, USA.
Scott D SimonDepartment of Neurosurgery, Penn State College of Medicine, Hershey, PA, USA.
Keefe B ManningDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA; Department of Surgery, Penn State College of Medicine, Hershey, PA, USA. Electronic address: kbm10@psu.edu.

Funding

Modeling of Acute Ischemic Stroke for Improving Mechanical ThrombectomyR01HL146921 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI Francesco Costanzo, Brent Craven · 2020 to 2026
$3.3M
Research Training in Physiological Adaptations to StressT32GM108563 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI CANTORNA, MARGHERITA T, KORZICK, DONNA HOPE · 2014 to 2023
$2.2M
NHLBI NIH HHS R01 HL146921NIGMS NIH HHS T32 GM108563
6 · The paper itself

Abstract

purposeAcute ischemic stroke is a leading cause of death and morbidity worldwide. Despite advances in medical technology, nearly 30% of strokes result in incomplete vessel recanalization. Recent studies have demonstrated that clot composition correlates with success rates of mechanical thrombectomy procedures. To understand clot behavior during thrombectomy, which exerts considerable strains on thrombi, in vitro studies must characterize the rate-dependent high-strain behavior of embolus analogs (EAs) with different formation conditions, which can be used to fit models of hyper-viscoelasticity.

methodsIn this study, the effect of collagen infiltration as a carotid-induced collagen-rich thrombosis surrogate is considered as a contributor to embolus analog high-strain stiffness, when compared to 40% hematocrit EAs.

resultsEA high-strain stiffnesses, characterized on a uniaxial load frame, increase by an order of magnitude for collagenous clot analogs. Chandler loop analogs show high-strain stiffnesses and clot compositions commensurate with previous reports of stroke patient clots, and collagenous clots show significant increase in stiffness when compared to stroke patient clots. Finally, hyper-viscoelastic curve fitting demonstrates the asymmetry between tension and compression. Nonlinear, rate-dependent models that consider clot-stiffening behavior match the high strain stiffness of clots fairly well. Furthermore, we demonstrate that the stability of the elastic energy needs to be considered to obtain optimal curve fits for high-strain, rate dependent data.

conclusionThis study provides a framework for the development of dynamically formed EAs that mimic the mechanical and structural properties of in vivo clots and provides parameters for numerical simulation of clot behavior with hyper-viscoelastic models.

Indexed as

CollagenElasticityEmbolismIschemic StrokeAnimalsBiomechanical PhenomenaMaterials TestingStress, MechanicalThrombosisViscosityCollagenClotCollagenGentOgdenStrokeViscoelastic

Identifiers

PMID39205348
PMCPMC11426309

What OpenQuestion holds

Textmetadata
LicenceTDM
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.