Evidence map›Paper›PMID 33776069›Full record

ArticleExperimental mechanics2021

Effect of macro-calcification on the failure mechanics of intracranial aneurysmal wall tissue.

R N Fortunato, A M Robertson, C Sang, X Duan, S Maiti

Open access · greenAbstract read
In one paragraph

Article in Experimental mechanics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Comapping Cellular Content and Extracellular Matrix with Hemodynamics in Intact Arterial Tissues Using Scanning Immunofluorescent Multiphoton Microscopy.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2024
    Article
  7. Article
  8. Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images.International journal of computer assisted radiology and surgery · 2021
    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

5 authors at 2 institutions in 1 country.

R N FortunatoDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh Pittsburgh, USA.
A M RobertsonDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh Pittsburgh, USA.
C SangDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh Pittsburgh, USA.
X DuanIntelligent Automation Group, PNC Bank, University of Pittsburgh Pittsburgh, USA.
S MaitiDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh Pittsburgh, USA.
University of Pittsburgh · USPNC Financial Services (United States) · US

Funding

Cardiovascular Bioengineering Training ProgramT32HL076124 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANJEEV G SHROFF · 2005 to 2026
$7.0M
Improving Cerebral Aneurysm Risk Assessment through Understanding Wall Vulnerability and Failure ModesR01NS097457 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CEBRAL, JUAN R, ROBERTSON, ANNE MARIE · 2016 to 2025
$6.0M
NHLBI NIH HHS T32 HL076124NINDS NIH HHS R01 NS097457
6 · The paper itself

Abstract

backgroundCalcification was recently found to be present in the majority of cerebral aneurysms, though how calcification and the presence or absence of co-localized lipid pools affect failure properties is still unknown.

objectiveThe primary objective is to quantify the biomechanical effect of a macro-calcification with surrounding Near-Calcification Region (NCR) of varying mechanical properties on tissue failure behavior.

methodsWe utilized a structurally informed finite element model to simulate pre-failure and failure behavior of a human cerebral tissue specimen modeled as a composite containing a macro-calcification and surrounding NCR, embedded in a fiber matrix composite. Data from multiple imaging modalities was combined to quantify the collagen organization and calcification geometry. An idealized parametric model utilizing the calibrated model was used to explore the impact of NCR properties on tissue failure.

resultsCompared to tissue without calcification, peak stress was reduced by 82% and 49% for low modulus (representing lipid pool) and high modulus (simulating increase in calcification size) of the NCR, respectively. Failure process strongly depended on NCR properties with lipid pools blunting the onset of complete failure. When the NCR was calcified, the sample was able to sustain larger overall stress, however the failure process was abrupt with nearly simultaneous failure of the loaded fibers.

conclusionsFailure of calcified vascular tissue is strongly influenced by the ultrastructure in the vicinity of the calcification. Computational modeling of failure in fibrous soft tissues can be used to understand how pathological changes impact the tissue failure process, with potentially important clinical implications.

Indexed as

BiomechanicsExperimentally MotivatedFinite Element ModelSoft TissueStructural ModelingTissue failure

Identifiers

PMID33776069
PMCPMC7992055
OpenAlexW3088405554

What OpenQuestion holds

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LicenceTDM
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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.