Evidence map›Paper›PMID 30712373›Full record

ArticleComputer methods in biomechanics and biomedical engineering2019

A pragmatic approach to understand peripheral artery lumen surface stiffness due to plaque heterogeneity.

Erica E Neumann, Melissa Young, Ahmet Erdemir

Abstract read
In one paragraph

Article in Computer methods in biomechanics and biomedical engineering, 2019. 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. Finite element analysis in clinical patients with atherosclerosis.Journal of the mechanical behavior of biomedical materials · 2022
    Article
  2. Evaluation of the role of peripheral artery plaque geometry and composition on stent performance.Journal of the mechanical behavior of biomedical materials · 2021
    Article
  3. 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

3 authors.

Erica E Neumanna Department of Biomedical Engineering , Lerner Research Institute, Cleveland Clinic , Cleveland , OH , USA.ORCID http://orcid.org/0000-0001-5940-5107
Melissa Youngc Division of Cardiovascular Diseases , Mayo Clinic , Rochester , MN , USA.
Ahmet Erdemira Department of Biomedical Engineering , Lerner Research Institute, Cleveland Clinic , Cleveland , OH , USA.ORCID http://orcid.org/0000-0002-4629-8055

Funding

Automated patient specific artery modeling using ultrasound virtual histologyR01EB018965 · NIBIB · MAYO CLINIC ROCHESTER · PI YOUNG, MELISSA DENTON · 2016 to 2019
$1.7M
NIBIB NIH HHS R01 EB018965
6 · The paper itself

Abstract

The goal of this study was to develop a pragmatic approach to build patient-specific models of the peripheral artery that are aware of plaque inhomogeneity. Patient-specific models using element-specific material definition (to understand the role of plaque composition) and homogeneous material definition (to understand the role of artery diameter and thickness) were automatically built from intravascular ultrasound images of three artery segments classified with low, average, and high calcification. The element-specific material models had average surface stiffness values of 0.0735, 0.0826, and 0.0973 MPa/mm, whereas the homogeneous material models had average surface stiffness values of 0.1392, 0.1276, and 0.1922 MPa/mm for low, average, and high calcification, respectively. Localization of peak lumen stiffness and differences in patient-specific average surface stiffness for homogeneous and element-specific models suggest the role of plaque composition on surface stiffness in addition to local arterial diameter and thickness.

Indexed as

AgedArteriesBiomechanical PhenomenaComputer SimulationCoronary Artery DiseaseFemaleFinite Element AnalysisHumansMiddle AgedPlaque, AtheroscleroticStress, MechanicalUltrasonographyFinite elementIVUSpatient-specificperipheral artery diseaseplaquesurface stiffness

Identifiers

PMID30712373
PMCPMC6541414

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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.