Evidence map›Paper›PMID 31633169›Full record

ArticleJournal of biomechanical engineering2020

A Comparative Study of Biomechanical and Geometrical Attributes of Abdominal Aortic Aneurysms in the Asian and Caucasian Populations.

Tejas Canchi, Sourav S Patnaik, Hong N Nguyen, E Y K Ng, Sriram Narayanan, Satish C Muluk, Victor De Oliveira, Ender A Finol

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of biomechanical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Predictors of Abdominal Aortic Aneurysm Risks.Bioengineering (Basel, Switzerland) · 2020
    Review
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

8 authors at 4 institutions in 2 countries.

Tejas CanchiSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798.
Sourav S PatnaikDepartment of Mechanical Engineering, University of Texas at San Antonio, San Antonio, TX 78249.
Hong N NguyenDepartment of Biomedical Engineering, University of Texas at San Antonio, San Antonio, TX 78249.
E Y K NgSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798.
Sriram NarayananThe Harley Street Heart and Vascular Centre, Gleneagles Hospital, Singapore 258500.
Satish C MulukDepartment of Thoracic & Cardiovascular Surgery, Allegheny Health Network, Pittsburgh, PA 15212.
Victor De OliveiraDepartment of Management and Statistics, University of Texas at San Antonio, San Antonio, TX 78249.
Ender A FinolDepartment of Mechanical Engineering, University of Texas at San Antonio, One UTSA Circle, EB 3.04.08, San Antonio, TX 78249.
The University of Texas at San Antonio · USNanyang Technological University · SGAllegheny Health Network · USGleneagles Hospital · SG

Funding

Geometric Surrogates for Clinical Management of Abdominal Aortic AneurysmsR01HL121293 · NHLBI · UNIVERSITY OF TEXAS SAN ANTONIO · PI FINOL, ENDER A · 2015 to 2018
$1.8M
NHLBI NIH HHS R01 HL121293
6 · The paper itself

Abstract

In this work, we provide a quantitative assessment of the biomechanical and geometric features that characterize abdominal aortic aneurysm (AAA) models generated from 19 Asian and 19 Caucasian diameter-matched AAA patients. 3D patient-specific finite element models were generated and used to compute peak wall stress (PWS), 99th percentile wall stress (99th WS), and spatially averaged wall stress (AWS) for each AAA. In addition, 51 global geometric indices were calculated, which quantify the wall thickness, shape, and curvature of each AAA. The indices were correlated with 99th WS (the only biomechanical metric that exhibited significant association with geometric indices) using Spearman's correlation and subsequently with multivariate linear regression using backward elimination. For the Asian AAA group, 99th WS was highly correlated (R2 = 0.77) with three geometric indices, namely tortuosity, intraluminal thrombus volume, and area-averaged Gaussian curvature. Similarly, 99th WS in the Caucasian AAA group was highly correlated (R2 = 0.87) with six geometric indices, namely maximum AAA diameter, distal neck diameter, diameter-height ratio, minimum wall thickness variance, mode of the wall thickness variance, and area-averaged Gaussian curvature. Significant differences were found between the two groups for ten geometric indices; however, no differences were found for any of their respective biomechanical attributes. Assuming maximum AAA diameter as the most predictive metric for wall stress was found to be imprecise: 24% and 28% accuracy for the Asian and Caucasian groups, respectively. This investigation reveals that geometric indices other than maximum AAA diameter can serve as predictors of wall stress, and potentially for assessment of aneurysm rupture risk, in the Asian and Caucasian AAA populations.

Indexed as

Aortic Aneurysm, AbdominalAsian PeopleFinite Element AnalysisStress, MechanicalWhite PeopleAgedBiomechanical PhenomenaFemaleHumansMaleMechanical Phenomenaabdominal aortic aneurysmbiomechanicsfinite element modelinggeometric modelingnonlinear regression

Identifiers

PMID31633169
PMCPMC10782868
OpenAlexW2982183515

What OpenQuestion holds

Textmetadata
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.