Evidence map›Paper›PMID 26924697›Full record

ArticleUltrasound in medicine & biology2016

Contrast-Enhanced Quantitative Intravascular Elastography: The Impact of Microvasculature on Model-Based Elastography.

Steven Huntzicker, Himanshu Shekhar, Marvin M Doyley

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2016. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Steven HuntzickerDepartment of Electrical & Computer Engineering, Hajim School of Engineering and Applied Sciences, University of Rochester, Rochester, New York, USA.
Himanshu ShekharDepartment of Electrical & Computer Engineering, Hajim School of Engineering and Applied Sciences, University of Rochester, Rochester, New York, USA.
Marvin M DoyleyDepartment of Electrical & Computer Engineering, Hajim School of Engineering and Applied Sciences, University of Rochester, Rochester, New York, USA. Electronic address: m.doyley@rochester.edu.

Funding

IVUS Detection of Rupture Prone PlaquesR01HL088523 · NHLBI · UNIVERSITY OF ROCHESTER · PI DOYLEY, MARVIN M · 2009 to 2013
$1.9M
NHLBI NIH HHS R01 HL088523
6 · The paper itself

Abstract

Model-based intravascular ultrasound elastography visualizes the stress distribution within vascular tissue-information that clinicians could use to predict the propensity of atherosclerotic plaque rupture. However, there are concerns that clusters of microvessels may reduce the accuracy of the estimated stress distribution. Consequently, we have developed a contrast-enhanced intravascular ultrasound system to investigate how plaque microvasculature affects the performance of model-based elastography. In simulations, diameters of 200, 400 and 800 μm were used, where the latter diameter represented a cluster of microvessels. In phantoms, we used a microvessel with a diameter of 750 μm. Peak stress errors of 3% and 38% were incurred in the fibrous cap when stress recovery was performed with and without a priori information about microvessel geometry. The results indicate that incorporating geometric information about plaque microvasculature obtained with contrast-enhanced ultrasound imaging improves the accuracy of estimates of the stress distribution within the fibrous cap precisely.

Indexed as

Computer SimulationContrast MediaCoronary StenosisElasticity Imaging TechniquesElastic ModulusHumansImage EnhancementImage Interpretation, Computer-AssistedMicrovesselsModels, CardiovascularPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificityShear StrengthStress, MechanicalUltrasonography, InterventionalContrast MediaAtherosclerosisIntravascular ultrasoundMicrovasculatureModel-based elastographyStress imaging

Identifiers

PMID26924697
PMCPMC4811726

What OpenQuestion holds

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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.