Evidence map›Paper›PMID 28728780›Full record

ArticleUltrasound in medicine & biology2017

Detecting Regional Stiffness Changes in Aortic Aneurysmal Geometries Using Pressure-Normalized Strain.

Doran S Mix, Ling Yang, Camille C Johnson, Nathan Couper, Ben Zarras, Isaac Arabadjis, Lauren E Trakimas, Michael C Stoner, Steven W Day, Michael S Richards

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  14. (PEAK) WALL STRESS AS AN INDICATOR OF ABDOMINAL AORTIC ANEURYSM SEVERITY.Proceedings. IEEE Western New York Image and Signal Processing Workshop · 2018
    Article
  15. Article
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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

10 authors.

Doran S MixDivision of Vascular Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA; Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, USA. Electronic address: dmix@urmc.rochester.edu.
Ling YangDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.
Camille C JohnsonDepartment of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, USA.
Nathan CouperDivision of Vascular Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA; Department of Biomedical Engineering, University of Rochester, Rochester, New York, USA.
Ben ZarrasDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.
Isaac ArabadjisDepartment of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, USA.
Lauren E TrakimasDivision of Vascular Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA.
Michael C StonerDivision of Vascular Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA.
Steven W DayDepartment of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, USA.
Michael S RichardsDivision of Vascular Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA; Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, USA.

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR000042 · NCATS · UNIVERSITY OF ROCHESTER · PI BENNETT, NANCY M, KIEBURTZ, KARL D. · 2012 to 2015
$14.4M
Abdominal Aortic Aneurysm Ultrasound Elasticity ImagingR21EB018432 · NIBIB · UNIVERSITY OF ROCHESTER · PI RICHARDS, MICHAEL SCOTT, STONER, MICHAEL · 2015 to 2016
$429k
NCATS NIH HHS UL1 TR000042NIBIB NIH HHS R21 EB018432
6 · The paper itself

Abstract

Transabdominal ultrasound elasticity imaging could improve the assessment of rupture risk for abdominal aortic aneurysms by providing information on the mechanical properties and stress or strain states of vessel walls. We implemented a non-rigid image registration method to visualize the pressure-normalized strain within vascular tissues and adapted it to measure total strain over an entire cardiac cycle. We validated the algorithm's performance with both simulated ultrasound images with known principal strains and anatomically accurate heterogeneous polyvinyl alcohol cryogel vessel phantoms. Patient images of abdominal aortic aneurysm were also used to illustrate the clinical feasibility of our imaging algorithm and the potential value of pressure-normalized strain as a clinical metric. Our results indicated that pressure-normalized strain could be used to identify spatial variations in vessel tissue stiffness. The results of this investigation were sufficiently encouraging to warrant a clinical study measuring abdominal aortic pressure-normalized strain in a patient population with aneurysmal disease.

Indexed as

Phantoms, ImagingAlgorithmsAorta, AbdominalAortic Aneurysm, AbdominalElasticity Imaging TechniquesFeasibility StudiesRisk AssessmentRisk FactorsVascular Stiffness3-D printingAneurysmElasticity imagingElastographyRegistrationStrainTissue-mimicking phantomsUltrasound

Identifiers

PMID28728780
PMCPMC5562537

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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.