Evidence map›Paper›PMID 38349443›Full record

ArticleAnnals of biomedical engineering2024

On the Impact of Residual Strains in the Stress Analysis of Patient-Specific Atherosclerotic Carotid Vessels: Predictions Based on the Homogenous Stress Hypothesis.

Alessandro Mastrofini, Michele Marino, Eva Karlöf, Ulf Hedin, T Christian Gasser

Open access · hybridAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 3 countries.

Alessandro MastrofiniDepartment of Civil Engineering and Computer Science Engineering, University of Rome Tor Vergata, Rome, Italy.
Michele MarinoDepartment of Civil Engineering and Computer Science Engineering, University of Rome Tor Vergata, Rome, Italy.
Eva KarlöfVascular Surgery, Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.
Ulf HedinVascular Surgery, Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.
T Christian GasserKTH Solid Mechanics, School of Engineering Sciences, KTH Royal Institute of Technology, Stockholm, Sweden. Gasser@kth.se.
Karolinska Institutet · SEUniversity of Rome Tor Vergata · ITUniversity of Southern Denmark · DK

Funding

Regione Lazio A0375-2020-36756Vetenskapsrådet 2020-04447
6 · The paper itself

Abstract

The identification of carotid atherosclerotic lesion at risk for plaque rupture, eventually resulting in cerebral embolism and stroke, is of paramount clinical importance. High stress in the fibrous plaque cap has been proposed as risk factor. However, among others, residual strains influence said stress predictions, but quantitative and qualitative implications of residual strains in this context are not well explored. We therefore propose a multiplicative kinematics-based Growth and Remodeling (G&R) framework to predict residual strains from homogenizing tissue stress and then investigate its implication on plaque stress. Carotid vessel morphology of four patients was reconstructed from clinical Computed Tomography-Angiography (CT-A) images and equipped with heterogeneous tissue constitutive properties assigned through a histology-based artificial intelligence image segmentation tool. As compared to a purely elastic analysis and depending on patient-specific morphology and tissue distributions, the incorporation of residual strains reduced the maximum wall stress by up to

Indexed as

AtherosclerosisPlaque, AtheroscleroticStrokeArtificial IntelligenceCarotid ArteriesFibrosisHumansStress, MechanicalAtherosclerotic diseaseComputational biomechanicsGrowth & remodelingPlaque rupture riskTissue stress

Identifiers

PMID38349443
PMCPMC10995094
OpenAlexW4391786901

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.