Evidence map›Paper›PMID 23948500›Full record

ArticleActa biomaterialia2013

Predictive biomechanical analysis of ascending aortic aneurysm rupture potential.

Caitlin Martin, Wei Sun, Thuy Pham, John Elefteriades

Abstract read
In one paragraph

Article in Acta biomaterialia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 104 citations in OpenAlex.

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  11. An image-based approach for the estimation of arterial local stiffnessFrontiers in bioengineering and biotechnology · 2023
    Article
  12. Ascending aorta mechanics and dimensions in aortopathy - from science to application.Indian journal of thoracic and cardiovascular surgery · 2022
    Review
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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

4 authors at 2 institutions in 1 country.

Caitlin MartinTissue Mechanics Laboratory, Biomedical Engineering Program and Mechanical Engineering Department, University of Connecticut, Storrs, CT 06269, United States.
Wei Sun
Thuy Pham
John Elefteriades
University of Connecticut · USYale University · US

Funding

Probabilistic Modeling of Stenotic Aortic Valve InterventionR01HL104080 · NHLBI · UNIVERSITY OF CONNECTICUT STORRS · PI SUN, WEI · 2011 to 2015
$1.9M
Role of Animal Models in Transcatheter Valve Intervention: A Mechanistic, Age-depR21HL108239 · NHLBI · UNIVERSITY OF CONNECTICUT STORRS · PI SUN, WEI · 2011 to 2012
$414k
Patient-Specific Modeling for Analysis of Aortic AneurysmsF31HL112632 · NHLBI · UNIVERSITY OF CONNECTICUT STORRS · PI MARTIN, CAITLIN MARIE · 2012 to 2015
$154k
NHLBI NIH HHS F31 HL112632NHLBI NIH HHS HL104080NHLBI NIH HHS HL108239NHLBI NIH HHS R01 HL104080NHLBI NIH HHS R21 HL108239
6 · The paper itself

Abstract

Aortic aneurysm is a leading cause of death in adults, often taking lives without any premonitory signs or symptoms. Adverse clinical outcomes of aortic aneurysm are preventable by elective surgical repair; however, identifying at-risk individuals is difficult. The objective of this study was to perform a predictive biomechanical analysis of ascending aortic aneurysm (AsAA) tissue to assess rupture risk on a patient-specific level. AsAA tissues, obtained intra-operatively from 50 patients, were subjected to biaxial mechanical and uniaxial failure tests to obtain their passive elastic mechanical properties. A novel analytical method was developed to predict the AsAA pressure-diameter response as well as the aortic wall yield and failure responses. Our results indicated that the mean predicted AsAA diameter at rupture was 5.6 ± 0.7 cm, and the associated blood pressure to induce rupture was 579.4 ± 214.8 mmHg. Statistical analysis showed significant positive correlation between aneurysm tissue compliance and predicted risk of rupture, where patients with a pressure-strain modulus ≥100 kPa may be nearly twice as likely to experience rupture than patients with more compliant aortic tissue. The mechanical analysis of pre-dissection patient tissue properties established in this study could predict the "future" onset of yielding and rupture in AsAA patients. The analysis results implicate decreased tissue compliance as a risk factor for AsAA rupture. The presented methods may serve as a basis for the development of a pre-operative planning tool for AsAA evaluation, a tool currently unavailable.

Indexed as

Aortic AneurysmAortic RuptureBiomechanical PhenomenaBlood PressureFemaleHumansIn Vitro TechniquesMaleMiddle AgedAscending aortic aneurysmBicuspid aortic valveBovine aortic archRupture potential

Identifiers

PMID23948500
PMCPMC3872822
OpenAlexW2058438952

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.