Evidence map›Paper›PMID 29544877›Full record

ArticleJournal of biomechanics2018

Structural modeling reveals microstructure-strength relationship for human ascending thoracic aorta.

James R Thunes, Julie A Phillippi, Thomas G Gleason, David A Vorp, Spandan Maiti

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of biomechanics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 46 citations in OpenAlex.

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  9. Enigma of aortic aneurysms continues to be enigmatic!Indian journal of thoracic and cardiovascular surgery · 2022
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  14. Review
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  17. Particle-based computational modelling of arterial disease.Journal of the Royal Society, Interface · 2018
    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.

James R ThunesDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Julie A PhillippiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States; Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Center for Vascular Remodeling and Regeneration, University of Pittsburgh, Pittsburgh, PA, United States; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Thomas G GleasonDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States; Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Center for Vascular Remodeling and Regeneration, University of Pittsburgh, Pittsburgh, PA, United States; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
David A VorpDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States; Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Center for Vascular Remodeling and Regeneration, University of Pittsburgh, Pittsburgh, PA, United States; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Spandan MaitiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: spm54@pitt.edu.
University of Pittsburgh · USMcGowan Institute for Regenerative Medicine · US

Funding

ROS Mechanisms in BAV AortopathyR01HL109132 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GLEASON, THOMAS GILLETTE · 2012 to 2024
$6.2M
NHLBI NIH HHS R01 HL109132
6 · The paper itself

Abstract

High lethality of aortic dissection necessitates accurate predictive metrics for dissection risk assessment. The not infrequent incidence of dissection at aortic diameters <5.5 cm, the current threshold guideline for surgical intervention (Nishimura et al., 2014), indicates an unmet need for improved evidence-based risk stratification metrics. Meeting this need requires a fundamental understanding of the structural mechanisms responsible for dissection evolution within the vessel wall. We present a structural model of the repeating lamellar structure of the aortic media comprised of elastic lamellae and collagen fiber networks, the primary load-bearing components of the vessel wall. This model was used to assess the role of these structural features in determining in-plane tissue strength, which governs dissection initiation from an intimal tear. Ascending aortic tissue specimens from three clinically-relevant patient populations were considered: non-aneurysmal aorta from patients with morphologically normal tricuspid aortic valve (CTRL), aneurysmal aorta from patients with tricuspid aortic valve (TAV), and aneurysmal aorta from patients with bicuspid aortic valve (BAV). Multiphoton imaging derived collagen fiber organization for each patient cohort was explicitly incorporated in our model. Model parameters were calibrated using experimentally-measured uniaxial tensile strength data in the circumferential direction for each cohort, while the model was validated by contrasting simulated tissue strength against experimentally-measured strength in the longitudinal direction. Orientation distribution, controlling the fraction of loaded collagen fibers at a given stretch, was identified as a key feature governing anisotropic tissue strength for all patient cohorts.

Indexed as

Models, CardiovascularAgedAnisotropyAortaAorta, ThoracicAortic AneurysmAortic Aneurysm, ThoracicAortic DissectionAortic ValveBicuspid Aortic Valve DiseaseCollagenExtracellular MatrixFemaleFinite Element AnalysisHeart Valve DiseasesHumansCollagenAortic dissectionCollagen fiberElastinFinite element analysisStructural modelingUniaxial strength

Identifiers

PMID29544877
PMCPMC8059307
OpenAlexW2792211353

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.