Evidence map›Paper›PMID 31213733›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2018

Toward modeling the effects of regional material properties on the wall stress distribution of abdominal aortic aneurysms.

Golnaz Jalalahmadi, María Helguera, Doran S Mix, Cristian A Linte

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2018. 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

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.

Golnaz JalalahmadiChester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA.
María HelgueraChester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA.
Doran S MixChester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA.
Cristian A LinteChester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA.

Funding

Biomedical Computing and Visualization Tools for Computer-integrated Diagnostic and Therapeutic Data ScienceR35GM128877 · NIGMS · ROCHESTER INSTITUTE OF TECHNOLOGY · PI Cristian A Linte · 2018 to 2026
$2.9M
NIGMS NIH HHS R35 GM128877
6 · The paper itself

Abstract

The overall geometry and different biomechanical parameters of an abdominal aortic aneurysm (AAA), contribute to its severity and risk of rupture, therefore they could be used to track its progression. Previous and ongoing research efforts have resorted to using uniform material properties to model the behavior of AAA. However, it has been recently illustrated that different regions of the AAA wall exhibit different behavior due to the effect of the biological activities in the metalloproteinase matrix that makes up the wall at the aneurysm site. In this work, we introduce a non-invasive patient-specific regional material property model to help us better understand and investigate the AAA wall stress distribution, peak wall stress (PWS) severity, and potential rupture risk. Our results indicate that the PWS and the overall wall stress distribution predicted using the proposed regional material property model, are higher than those predicted using the traditional homogeneous, hyper-elastic model (

Indexed as

Abdominal aortic aneurysmBiomechanical modelingfinite element analysisImage processing and segmentationPhysiological modelingregional material propertiesVascular imagingwall stress distribution

Identifiers

PMID31213733
PMCPMC6581509

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Registered trials

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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.