Evidence map›Paper›PMID 31585351›Full record

ArticleJournal of the mechanical behavior of biomedical materials2020

Patient specific characterization of artery and plaque material properties in peripheral artery disease.

Christopher Noble, Kent D Carlson, Erica Neumann, Dan Dragomir-Daescu, Ahmet Erdemir, Amir Lerman, Melissa Young

Open access · hybridAbstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Characterizing atherosclerotic tissues:Frontiers in bioengineering and biotechnology · 2023
    Article
  8. Article
  9. Article
  10. Finite element analysis in clinical patients with atherosclerosis.Journal of the mechanical behavior of biomedical materials · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Evaluation of the role of peripheral artery plaque geometry and composition on stent performance.Journal of the mechanical behavior of biomedical materials · 2021
    Article
  15. Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images.International journal of computer assisted radiology and surgery · 2021
    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

7 authors at 3 institutions in 1 country.

Christopher NobleDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Kent D CarlsonDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
Erica NeumannDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Dan Dragomir-DaescuDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
Ahmet ErdemirDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Amir LermanDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Melissa YoungDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA. Electronic address: young.melissa@mayo.edu.
Mayo Clinic in Arizona · USCleveland Clinic Lerner College of Medicine · USMayo Clinic in Florida · US

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

Patient-specific finite element (FE) modeling of atherosclerotic plaque is challenging, as there is limited information available clinically to characterize plaque components. This study proposes that for the limited data available in vivo, material properties of plaque and artery can be identified using inverse FE analysis and either a simple neo-Hookean constitutive model or assuming linear elasticity provides sufficient accuracy to capture the changes in vessel deformation, which is the available clinical metric. To test this, 10 human cadaveric femoral arteries were each pressurized ex vivo at 6 pressure levels, while intravascular ultrasound (IVUS) and virtual histology (VH) imaging were performed during controlled pull-back to determine vessel geometry and plaque structure. The VH images were then utilized to construct FE models with heterogeneous material properties corresponding to the vessel plaque components. The constitutive models were then fit to each plaque component by minimizing the difference between the experimental and the simulated geometry using the inverse FE method. Additionally, we further simplified the analysis by assuming the vessel wall had a homogeneous structure, i.e. lumping artery and plaque as one tissue. We found that for the heterogeneous wall structure, the simulated and experimental vessel geometries compared well when the fitted neo-Hookean parameters or elastic modulus, in the case of linear elasticity, were utilized. Furthermore, taking the median of these fitted parameters then inputting these as plaque component mechanical properties in the finite element simulation yielded differences between simulated and experimental geometries that were on average around 2% greater (1.30-5.55% error range to 2.33-11.71% error range). For the homogeneous wall structure the simulated and experimental wall geometries had an average difference of around 4% although when the difference was calculated using the median fitted value this difference was larger than for the heterogeneous fits. Finally, comparison to uniaxial tension data and to literature constitutive models also gave confidence to the suitability of this simplified approach for patient-specific arterial simulation based on data that may be acquired in the clinic.

Indexed as

Finite Element AnalysisPatient-Specific ModelingFemoral ArteryHumansPeripheral Arterial DiseasePressureIntravascular ultrasoundInverse finite element analysisPeripheral artery diseasePressure inflation testingVirtual histology

Identifiers

PMID31585351
PMCPMC6889048
OpenAlexW2976670327

What OpenQuestion holds

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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.