Evidence map›Paper›PMID 27013245›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2017

Combined non-invasive assessment of endothelial shear stress and molecular imaging of inflammation for the prediction of inflamed plaque in hyperlipidaemic rabbit aortas.

Gitsios Gitsioudis, Yiannis S Chatzizisis, Peter Wolf, Anna Missiou, Antonios P Antoniadis, Dimitrios Mitsouras, Sönke Bartling, Zeynep Arica, Matthias Stuber, Frank J Rybicki and 6 more

Abstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

16 authors.

Gitsios GitsioudisDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany gitsioudis_correspondence@web.de ychatzizisis@icloud.com.
Yiannis S ChatzizisisCardiovascular Division, University of Nebraska Medical Center, Omaha, Nebraska, USA gitsioudis_correspondence@web.de ychatzizisis@icloud.com.
Peter WolfDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Anna MissiouDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Antonios P AntoniadisFirst Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece.
Dimitrios MitsourasDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Sönke BartlingMedical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
Zeynep AricaDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Matthias StuberRussell H. Morgan Department of Radiology and Radiological Sciences, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Frank J RybickiDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Max NunningerDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Christian ErbelDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Peter LibbyCardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
George D GiannoglouFirst Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece.
Hugo A KatusDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.
Grigorios KorosoglouDepartment of Cardiology, University of Heidelberg, Heidelberg, Germany.

Funding

Quantitative Coronary Hemodynamics Derived from CT AngiographyK01EB015868 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI MITSOURAS, DIMITRIOS · 2013 to 2015
$520k
NIBIB NIH HHS K01 EB015868
6 · The paper itself

Abstract

aimsTo evaluate the incremental value of low endothelial shear stress (ESS) combined with high-resolution magnetic resonance imaging (MRI)- and computed tomography angiography (CTA)-based imaging for the prediction of inflamed plaque. METHODS AND

resultsTwelve hereditary hyperlipidaemic rabbits underwent quantitative analysis of plaque in the thoracic aorta with 256-slice CTA and USPIO-enhanced (ultra-small superparamagnetic nanoparticles, P904) 1.5-T MRI at baseline and at 6-month follow-up. Computational fluid dynamics using CTA-based 3D reconstruction of thoracic aortas identified the ESS patterns in the convex and concave curvature subsegments of interest. Subsegments with low baseline ESS exhibited significant increase in wall thickness and plaque inflammation by MRI, in non-calcified plaque burden by CTA, and developed increased plaque size, lipid and inflammatory cell accumulation (high-risk plaque features) at follow-up by histopathology. Multiple regression analysis identified baseline ESS and inflammation by MRI to be independent predictors of plaque progression, while receiver operating curve analysis revealed baseline ESS alone or in combination with inflammation by MRI as the strongest predictor for augmented plaque burden and inflammation (low ESS at baseline: AUC = 0.84, P < 0.001; low ESS and inflammation by molecular MRI at baseline: AUC = 0.89, P < 0.001).

conclusionLow ESS predicts progression of plaque burden and inflammation as assessed by non-invasive USPIO-enhanced MRI. Combined non-invasive assessment of ESS and imaging of inflammation may serve to predict plaque with high-risk features.

Indexed as

Shear StrengthAnimalsAortaBiopsy, NeedleComputed Tomography AngiographyConfidence IntervalsDisease Models, AnimalDisease ProgressionEndothelium, VascularHyperlipidemiasImmunohistochemistryInflammationLinear ModelsMagnetic Resonance ImagingMaleMolecular Imagingatherosclerosiscomputed tomography angiographyendothelial shear stresshyperlipidaemic rabbitsmagnetic resonance imagingmolecular imaging

Identifiers

PMID27013245
PMCPMC5217740

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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.