Evidence map›Paper›PMID 36143287›Full record

ArticleJournal of personalized medicine2022

Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches.

Alin-Florin Totorean, Iuliana-Claudia Totorean, Sandor Ianos Bernad, Tiberiu Ciocan, Daniel Claudiu Malita, Dan Gaita, Elena Silvia Bernad

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 13 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

7 authors at 2 institutions in 1 country.

Alin-Florin TotoreanMedical Engineering Group, Department of Mechanics and Strength of Materials, Politehnica University Timisoara, No 1 Mihai Viteazul Boulevard, 300222 Timisoara, Romania.
Iuliana-Claudia TotoreanCardiology Department, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Square, 300041 Timisoara, Romania.
Sandor Ianos BernadCentre for Fundamental and Advanced Technical Research, Romanian Academy-Timisoara Branch, No 24 Mihai Viteazul Boulevard, 300223 Timisoara, Romania.ORCID 0000-0002-0617-5376
Tiberiu CiocanDepartment of Mechanical Machines, Equipment and Transportation, Politehnica University Timisoara, No 1 Mihai Viteazul Boulevard, 300222 Timisoara, Romania.
Daniel Claudiu MalitaDepartment of Radiology, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Square, 300041 Timisoara, Romania.
Dan GaitaCardiology Department, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Square, 300041 Timisoara, Romania.
Elena Silvia BernadDepartment of Obstetrics and Gynecology, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Square, 300041 Timisoara, Romania.ORCID 0000-0003-1084-2714
Victor Babeș University of Medicine and Pharmacy Timișoara · ROPolytechnic University of Timişoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complicated abdominal aorta and its branches are a portion of the circulatory system prone to developing atherosclerotic plaque and aneurysms. These disorders are closely connected to the changing blood flow environment that the area’s complicated architecture produces (between celiac artery and iliac artery bifurcation); this phenomenon is widespread at arterial bifurcations. Based on computed tomography angiography (CTA) scans, this current work offers a numerical analysis of a patient-specific reconstruction of the abdominal aorta and its branches to identify and emphasize the most likely areas to develop atherosclerosis. The simulations were run following the heart cycle and under physiological settings. The wall shear stress (WSS), velocity field, and streamlines were examined. According to the findings, complex flow is primarily present at the location of arterial bifurcations, where abnormal flow patterns create recirculation zones with low and fluctuating WSS (<0.5 Pa), which are known to affect endothelial homeostasis and cause adverse vessel remodeling. The study provides a patient-specific hemodynamic analysis model, which couples in vivo CT imaging with in silico simulation under physiological circumstances. The study offers quantitative data on the range fluctuations of important hemodynamic parameters, such as WSS and recirculation region expansion, which are directly linked to the onset and progression of atherosclerosis. The findings could also help drug targeting at this vascular level by understanding blood flow patterns in the abdominal aorta and its branches.

Indexed as

3D reconstructionabdominal aortacomputational fluid dynamicspatient-specific modelwall shear stress

Identifiers

PMID36143287
PMCPMC9503755
OpenAlexW4295941882

What OpenQuestion holds

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LicenceCC BY
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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.