Evidence map›Paper›PMID 34758464›Full record

ArticleJournal of vascular research2022

Characterizing Tissue Remodeling and Mechanical Heterogeneity in Cerebral Aneurysms.

Elizabeth D Shih, Paolo P Provenzano, Colleen M Witzenburg, Victor H Barocas, Andrew W Grande, Patrick W Alford

Open access · greenAbstract read
In one paragraph

Article in Journal of vascular research, 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
0.8field-weighted citation impact, top 25% 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, 9 citations in OpenAlex.

  1. Article
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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 2 institutions in 1 country.

Elizabeth D ShihDepartment of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Paolo P ProvenzanoDepartment of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Colleen M WitzenburgDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Victor H BarocasDepartment of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Andrew W GrandeDepartment of Neurosurgery, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Patrick W AlfordDepartment of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
University of Minnesota · USUniversity of Wisconsin–Madison · US

Funding

Project 2: Cell Migration in Mechanically Complex MicroenvironmentsU54CA210190 · NCI · UNIVERSITY OF MINNESOTA · PI WOOD, DAVID KEVIN · 2016 to 2020
$10.0M
Multiscale Model of Ascending Thoracic Aortic AneurysmU01HL139471 · NHLBI · UNIVERSITY OF MINNESOTA · PI BAROCAS, VICTOR H · 2018 to 2021
$1.6M
NCI NIH HHS U54 CA210190NHLBI NIH HHS U01 HL139471
6 · The paper itself

Abstract

Accurately assessing the complex tissue mechanics of cerebral aneurysms (CAs) is critical for elucidating how CAs grow and whether that growth will lead to rupture. The factors that have been implicated in CA progression - blood flow dynamics, immune infiltration, and extracellular matrix remodeling - all occur heterogeneously throughout the CA. Thus, it stands to reason that the mechanical properties of CAs are also spatially heterogeneous. Here, we present a new method for characterizing the mechanical heterogeneity of human CAs using generalized anisotropic inverse mechanics, which uses biaxial stretching experiments and inverse analyses to determine the local Kelvin moduli and principal alignments within the tissue. Using this approach, we find that there is significant mechanical heterogeneity within a single acquired human CA. These results were confirmed using second harmonic generation imaging of the CA's fiber architecture and a correlation was observed. This approach provides a single-step method for determining the complex heterogeneous mechanics of CAs, which has important implications for future identification of metrics that can improve accuracy in prediction risk of rupture.

Indexed as

Models, CardiovascularAortic RuptureBiomechanical PhenomenaCerebral AngiographyCerebral ArteriesCerebrovascular CirculationComputed Tomography AngiographyDilatation, PathologicExtracellular MatrixFibrillar CollagensHumansIntracranial AneurysmMagnetic Resonance AngiographyStress, MechanicalFibrillar CollagensAneurysmsBiomechanicsHeterogeneity

Identifiers

PMID34758464
PMCPMC12790634
OpenAlexW3212921352

What OpenQuestion holds

Textmetadata
LicenceTDM
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.