Evidence map›Paper›PMID 39240472›Full record

ArticleAnnals of biomedical engineering2025

In Vivo Deformation of the Human Basilar Artery.

Jaemin Kim, Kaiyu Zhang, Gador Canton, Niranjan Balu, Kenneth Meyer, Reza Saber, David Paydarfar, Chun Yuan, Michael S Sacks

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jaemin KimJames T. Willerson Center for Cardiovascular Modeling and Simulation, The Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Kaiyu ZhangVascular Imaging Lab, Department of Radiology, School of Medicine, University of Washington, Seattle, WA, USA.
Gador CantonVascular Imaging Lab, Department of Radiology, School of Medicine, University of Washington, Seattle, WA, USA.
Niranjan BaluVascular Imaging Lab, Department of Radiology, School of Medicine, University of Washington, Seattle, WA, USA.
Kenneth MeyerJames T. Willerson Center for Cardiovascular Modeling and Simulation, The Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Reza SaberDepartment of Neurology, Dell School of Medicine, University of Texas, Austin, TX, USA.
David PaydarfarDepartment of Neurology, Dell School of Medicine, University of Texas, Austin, TX, USA.
Chun YuanVascular Imaging Lab, Department of Radiology, School of Medicine, University of Washington, Seattle, WA, USA.
Michael S SacksJames T. Willerson Center for Cardiovascular Modeling and Simulation, The Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA. msacks@oden.utexas.edu.ORCID http://orcid.org/0000-0002-3199-2204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An estimated 6.8 million people in the United States have an unruptured intracranial aneurysms, with approximately 30,000 people suffering from intracranial aneurysms rupture each year. Despite the development of population-based scores to evaluate the risk of rupture, retrospective analyses have suggested the limited usage of these scores in guiding clinical decision-making. With recent advancements in imaging technologies, artery wall motion has emerged as a promising biomarker for the general study of neurovascular mechanics and in assessing the risk of intracranial aneurysms. However, measuring arterial wall deformations in vivo itself poses several challenges, including how to image local wall motion and deriving the anisotropic wall strains over the cardiac cycle. To overcome these difficulties, we first developed a novel in vivo MRI-based imaging method to acquire cardiac gated images of the human basilar artery (BA) over the cardiac cycle. Next, complete BA endoluminal surfaces from each frame were segmented, producing high-resolution point clouds of the endoluminal surfaces. From these point clouds we developed a novel B-spline-based surface representation, then exploited the local support nature of B-splines to determine the local endoluminal surface strains. Results indicated distinct regional and temporal variations in BA wall deformation, highlighting the heterogeneous nature BA function. These included large circumferential strains (up to

Indexed as

Basilar ArteryIntracranial AneurysmModels, CardiovascularFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedBasilar arteryB-spline surface deformation methodsIn vivo arterial mechanicsNeurovascular mechanics

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.