Evidence map›Paper›PMID 41256878›Full record

ArticleArXiv2025

Load Transfer along Continuous Collagen Fibers Reduces the Importance of Wall Thickness Variations.

Yamnesh Agrawal, Masoud Zamani, James R Thunes, Spandan Maiti, Anne M Robertson

Abstract readPreprint
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yamnesh AgrawalMechanical Engineering & Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.
Masoud ZamaniMechanical Engineering & Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.
James R ThunesANSYS Canada Ltd, Waterloo, ON, Canada.
Spandan MaitiMechanical Engineering & Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.
Anne M RobertsonMechanical Engineering & Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

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
NINDS NIH HHS R01 NS097457
6 · The paper itself

Abstract

The mechanical response of biological soft tissues is influenced by wall heterogeneity, including spatial variations in wall thickness. Traditional models for homogeneous soft tissues under uniaxial loading predict higher stretch and stress in thinner regions. In fact, large gradients in stretch and stress are predicted to be induced by spatial variations in wall thickness. In prior studies, the role of collagen fibers in regions of thickness transition has been largely neglected or only considered in terms of their effect on anisotropy. Here, we explore the role of collagen fibers as primary load-bearing components across regions of varying wall thickness, using a three-dimensional representative volume element (RVE) model incorporating explicit collagen fiber architecture and a gradual thickness gradient. We examined two distinct collagen fiber configurations across the thickness transition: one featuring abrupt fiber termination and another with fiber continuity. Finite element analysis (FEA) under uniaxial tension revealed that load transfer by continuous fibers across the specimen markedly reduced the importance of the change in wall thickness, with stretch differentials dropping from ~20% (fiber-termination network) to 0.68% (continuous fibers) and stress differentials dropping from ~65% (fiber-termination network) to 2.3% (continuous fibers). Fiber tortuosity delayed the point at which mechanical response was governed by fiber structure. These findings demonstrate the critical role of fiber continuity in reducing stretch and stress gradients across regions of varying wall thickness and clarify the importance of accurately representing fiber architecture when modeling soft tissues with heterogeneous wall thickness.

Identifiers

PMID41256878
PMCPMC12622196

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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.