Evidence map›Paper›PMID 36523426›Full record

ArticleFrontiers in medical technology2022

Automated finite element approach to generate anatomical patient-specific biomechanical models of atherosclerotic arteries from virtual histology-intravascular ultrasound.

Jeremy L Warren, John E Yoo, Clark A Meyer, David S Molony, Habib Samady, Heather N Hayenga

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. A Parameterized Cross-Sectional Model for Simulating Balloon Angioplasty in Atherosclerotic Arteries.International journal for numerical methods in biomedical engineering · 2025
    Article
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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

6 authors.

Jeremy L WarrenDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, United States.
John E YooDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, United States.
Clark A MeyerDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, United States.
David S MolonyNortheast Georgia Health System, Georgia Heart Institute, Gainesville, GA, United States.
Habib SamadyNortheast Georgia Health System, Georgia Heart Institute, Gainesville, GA, United States.
Heather N HayengaDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, United States.

Funding

A computational model of the G&R during atherosclerosis: Integrating mechanics and biologyR01HL136776 · NHLBI · UNIVERSITY OF TEXAS DALLAS · PI HAYENGA, HEATHER NAOMI · 2018 to 2022
$1.9M
NHLBI NIH HHS R01 HL136776
6 · The paper itself

Abstract

Despite advancements in early detection and treatment, atherosclerosis remains the leading cause of death across all cardiovascular diseases (CVD). Biomechanical analysis of atherosclerotic lesions has the potential to reveal biomechanically instable or rupture-prone regions. Treatment decisions rarely consider the biomechanics of the stenosed lesion due in-part to difficulties in obtaining this information in a clinical setting. Previous 3D FEA approaches have incompletely incorporated the complex curvature of arterial geometry, material heterogeneity, and use of patient-specific data. To address these limitations and clinical need, herein we present a user-friendly fully automated program to reconstruct and simulate the wall mechanics of patient-specific atherosclerotic coronary arteries. The program enables 3D reconstruction from patient-specific data with heterogenous tissue assignment and complex arterial curvature. Eleven arteries with coronary artery disease (CAD) underwent baseline and 6-month follow-up angiographic and virtual histology-intravascular ultrasound (VH-IVUS) imaging. VH-IVUS images were processed to remove background noise, extract VH plaque material data, and luminal and outer contours. Angiography data was used to orient the artery profiles along the 3D centerlines. The resulting surface mesh is then resampled for uniformity and tetrahedralized to generate the volumetric mesh using TetGen. A mesh convergence study revealed edge lengths between 0.04 mm and 0.2 mm produced constituent volumes that were largely unchanged, hence, to save computational resources, a value of 0.2 mm was used throughout. Materials are assigned and finite element analysis (FEA) is then performed to determine stresses and strains across the artery wall. In a representative artery, the highest average effective stress was in calcium elements with 235 kPa while necrotic elements had the lowest average stress, reaching as low as 0.79 kPa. After applying nodal smoothening, the maximum effective stress across 11 arteries remained below 288 kPa, implying biomechanically stable plaques. Indeed, all atherosclerotic plaques remained unruptured at the 6-month longitudinal follow up diagnosis. These results suggest our automated analysis may facilitate assessment of atherosclerotic plaque stability.

Indexed as

biomechanicscardiovascularcomputational modelingcoronary artery disease (CAD)FEBiofinite element analysis (FEA)

Identifiers

PMID36523426
PMCPMC9745200

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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.