Evidence map›Paper›PMID 34956050›Full record

ArticleFrontiers in neurology2021

Analysis of Cerebral Aneurysm Wall Tension and Enhancement Using Finite Element Analysis and High-Resolution Vessel Wall Imaging.

Adam E Galloy, Ashrita Raghuram, Marco A Nino, Alberto Varon Miller, Ryan Sabotin, Carlos Osorno-Cruz, Edgar A Samaniego, Suresh M L Raghavan, David Hasan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2021. 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
0.5field-weighted citation impact, top 30% 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, 10 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

9 authors at 2 institutions in 1 country.

Adam E GalloyRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States.
Ashrita RaghuramDepartment of Neurology, The University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, United States.
Marco A NinoRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States.
Alberto Varon MillerDepartment of Neurology, The University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, United States.
Ryan SabotinDepartment of Neurology, The University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, United States.
Carlos Osorno-CruzDepartment of Neurosurgery, The University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, United States.
Edgar A SamaniegoDepartment of Neurology, The University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, United States.
Suresh M L RaghavanRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States.
David HasanDepartment of Neurosurgery, The University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, United States.
University of Iowa Hospitals and Clinics · USUniversity of Iowa · US

Funding

Iowa Lung Imaging Training ProgramT32HL144461 · NHLBI · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED, REINHARDT, JOSEPH M · 2019 to 2023
$1.6M
NHLBI NIH HHS T32 HL144461
6 · The paper itself

Abstract

Biomechanical computational simulation of intracranial aneurysms has become a promising method for predicting features of instability leading to aneurysm growth and rupture. Hemodynamic analysis of aneurysm behavior has helped investigate the complex relationship between features of aneurysm shape, morphology, flow patterns, and the proliferation or degradation of the aneurysm wall. Finite element analysis paired with high-resolution vessel wall imaging can provide more insight into how exactly aneurysm morphology relates to wall behavior, and whether wall enhancement can describe this phenomenon. In a retrospective analysis of 23 unruptured aneurysms, finite element analysis was conducted using an isotropic, homogenous third order polynomial material model. Aneurysm wall enhancement was quantified on 2D multiplanar views, with 14 aneurysms classified as enhancing (CR

Indexed as

finite element analysis (FEA)intracranial aneurysmmagnetic resonance imaging (MRI)wall enhancementwall tension

Identifiers

PMID34956050
PMCPMC8702555
OpenAlexW4200430961

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.