Evidence map›Paper›PMID 38320850›Full record

ArticleJournal of neurointerventional surgery2024

Intracranial aneurysm wall displacement depicted by amplified Flow predicts growth.

Aymeric Pionteck, Javid Abderezaei, Patrick Fillingham, Ya-Chen Chuang, Yu Sakai, Puneet Belani, Brian Rigney, Reade De Leacy, Johanna T Fifi, Aichi Chien and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neurointerventional surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Review
  2. In Vivo Deformation of the Human Basilar Artery.Annals of biomedical engineering · 2025
    Article
  3. Article
  4. Article
  5. 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

20 authors.

Aymeric Pionteck *Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Javid Abderezaei *Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Patrick FillinghamNeurological Surgery, University of Washington School of Medicine, Seattle, Washington, USA.
Ya-Chen ChuangMechanical Engineering, University of Washington, Seattle, Washington, USA.
Yu SakaiDiagnostic, Molecular and Interventional Radiology, Mount Sinai Health System, New York, New York, USA.
Puneet BelaniDiagnostic, Molecular and Interventional Radiology, Mount Sinai Health System, New York, New York, USA.
Brian RigneyDiagnostic, Molecular and Interventional Radiology, Mount Sinai Health System, New York, New York, USA.
Reade De LeacyNeurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Johanna T FifiNeurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Aichi ChienRadiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Geoffrey P ColbyNeurosurgery, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Reza JahanRadiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Gary DuckwilerRadiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
James SayreRadiological Sciences, University of California, Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Samantha J HoldsworthDepartment of Anatomy, University of Auckland, Auckland, New Zealand.
Mahmud Mossa-BashaRadiology, University of Washington School of Medicine, Seattle, Washington, USA.ORCID http://orcid.org/0000-0001-7798-8158
Michael R LevittNeurological Surgery, University of Washington School of Medicine, Seattle, Washington, USA.ORCID http://orcid.org/0000-0003-3612-3347
J MoccoNeurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID http://orcid.org/0000-0001-5489-2524
Mehmet Kurt *Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Kambiz Nael *Diagnostic, Molecular and Interventional Radiology, Mount Sinai Health System, New York, New York, USA kambiznael@gmail.com.ORCID http://orcid.org/0000-0002-4194-9488

Funding

Improving the computational modeling of coiled cerebral aneurysms through synchrotron microtomographyR01NS105692 · NINDS · UNIVERSITY OF WASHINGTON · PI Michael Robert Levitt · 2018 to 2026
$3.5M
Investigation of arterial changes in the Circle of Willis during intracranial aneurysm growth in humansR01HL152270 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHIEN, AICHI · 2020 to 2024
$3.2M
Investigation of the quantitative intracranial aneurysm wall enhancement and geometric features associated with aneurysm volume growthR01HL162743 · NHLBI · UNIVERSITY OF WASHINGTON · PI Chengcheng Zhu · 2022 to 2026
$2.4M
NHLBI NIH HHS R01 HL152270NHLBI NIH HHS R01 HL162743NINDS NIH HHS R01 NS105692
6 · The paper itself

Abstract

backgroundAbnormal intracranial aneurysm (IA) wall motion has been associated with IA growth and rupture. Recently, a new image processing algorithm called amplified Flow (aFlow) has been used to successfully track IA wall motion by combining the amplification of cine and four-dimensional (4D) Flow MRI. We sought to apply aFlow to assess wall motion as a potential marker of IA growth in a paired-wise analysis of patients with growing versus stable aneurysms.

methodsIn this retrospective case-control study, 10 patients with growing IAs and a matched cohort of 10 patients with stable IAs who had baseline 4D Flow MRI were included. The aFlow was used to amplify and extract IA wall displacements from 4D Flow MRI. The associations of aFlow parameters with commonly used risk factors and morphometric features were assessed using paired-wise univariate and multivariate analyses.

resultsaFlow quantitative results showed significantly (P=0.035) higher wall motion displacement depicted by mean±SD 90

conclusionsaFlow-derived quantitative assessment of IA wall motion showed greater wall motion and higher variability of wall deformation in growing versus stable IAs.

Indexed as

AneurysmMagnetic Resonance AngiographyMRIVessel Wall

Identifiers

PMID38320850
PMCPMC11300705

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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.