Evidence map›Paper›PMID 37964071›Full record

ArticleScientific reports2023

3D patient-specific modeling and structural finite element analysis of atherosclerotic carotid artery based on computed tomography angiography.

Nicoletta Curcio, Antonio Rosato, Daniela Mazzaccaro, Giovanni Nano, Michele Conti, Giulia Matrone

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.9field-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

4 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Nicoletta CurcioDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Antonio Rosato3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Daniela MazzaccaroOperative Unit of Vascular Surgery, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Giovanni NanoOperative Unit of Vascular Surgery, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Michele Conti *Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.
Giulia Matrone *Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy. giulia.matrone@unipv.it.
University of Pavia · ITIRCCS Policlinico San Donato · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of carotid plaque vulnerability is a relevant clinical information that can help prevent adverse cerebrovascular events. To this aim, in this study, we propose a patient-specific computational workflow to quantify the stress distribution in an atherosclerotic carotid artery, by means of geometric modeling and structural simulation of the plaque and vessel wall. Ten patients were involved in our study. Starting with segmentation of the lumen, calcific and lipid plaque components from computed tomography angiography images, the fibrous component and the vessel wall were semi-automatically reconstructed with an ad-hoc procedure. Finite element analyses were performed using local pressure values derived from ultrasound imaging. Simulation outputs were analyzed to assess how mechanical factors influence the stresses within the atherosclerotic wall. The developed reconstruction method was first evaluated by comparing the results obtained using the automatically generated fibrous component model and the one derived from image segmentation. The high-stress regions in the carotid artery wall around plaques suggest areas of possible rupture. In mostly lipidic and heterogeneous plaques, the highest stresses are localized at the interface between the lipidic components and the lumen, in the fibrous cap.

Indexed as

AtherosclerosisCarotid StenosisPlaque, AtheroscleroticCarotid ArteriesComputed Tomography AngiographyFinite Element AnalysisHumansPatient-Specific ModelingStress, Mechanical

Identifiers

PMID37964071
PMCPMC10645924
OpenAlexW4388653102

What OpenQuestion holds

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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.