Evidence map›Paper›PMID 27102316›Full record

ArticleAJNR. American journal of neuroradiology2016

Prediction of Carotid Intraplaque Hemorrhage Using Adventitial Calcification and Plaque Thickness on CTA.

L B Eisenmenger, B W Aldred, S-E Kim, G J Stoddard, A de Havenon, G S Treiman, D L Parker, J S McNally

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Guideline
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  10. Many strokes from a single non-stenosing plaque: from the last event a light to the first one?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
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  13. Usefulness of cone-beam computed tomography to predict residual stenosis after carotid artery stenting.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2024
    Article
  14. The role of non-stenosing carotid artery plaques in embolic stroke of undetermined source, is it a silent offender? A review of literature.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2024
    Review
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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

8 authors.

L B EisenmengerFrom the Department of Radiology (L.B.E., B.W.A., S.-E.K., G.S.T., D.L.P., J.S.M.), Utah Center for Advanced Imaging Research.ORCID 0000-0001-9294-7645
B W AldredFrom the Department of Radiology (L.B.E., B.W.A., S.-E.K., G.S.T., D.L.P., J.S.M.), Utah Center for Advanced Imaging Research.ORCID 0000-0003-1805-0359
S-E KimFrom the Department of Radiology (L.B.E., B.W.A., S.-E.K., G.S.T., D.L.P., J.S.M.), Utah Center for Advanced Imaging Research.ORCID 0000-0002-7232-3621
G J StoddardDepartment of Orthopedics (G.J.S.), Design and Biostatistics Center.ORCID 0000-0002-6292-276X
A de HavenonDepartment of Neurology (A.d.H.).ORCID 0000-0001-8178-8597
G S TreimanFrom the Department of Radiology (L.B.E., B.W.A., S.-E.K., G.S.T., D.L.P., J.S.M.), Utah Center for Advanced Imaging Research Department of Surgery (G.S.T.), University of Utah, Salt Lake City, Utah Department of Surgery (G.S.T.), VA Salt Lake City Health Care System, Salt Lake City, Utah.ORCID 0000-0002-1376-2536
D L ParkerFrom the Department of Radiology (L.B.E., B.W.A., S.-E.K., G.S.T., D.L.P., J.S.M.), Utah Center for Advanced Imaging Research.ORCID 0000-0003-2557-8952
J S McNallyFrom the Department of Radiology (L.B.E., B.W.A., S.-E.K., G.S.T., D.L.P., J.S.M.), Utah Center for Advanced Imaging Research scott.mcnally@hsc.utah.edu.ORCID 0000-0003-3770-1153

Funding

UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
Siemens MAGNETOM Prisma 3T MRI scannerS10OD018482 · OD · UNIVERSITY OF UTAH · PI PARKER, DENNIS L · 2015 to 2015
$1.2M
High-Resolution, Motion-corrected 3D Cine MRI of Carotid PlaqueI01CX001292 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI TREIMAN, GERALD S · 2015 to 2017
–
CSRD VA I01 CX001292NCATS NIH HHS UL1 TR000105NCRR NIH HHS UL1 RR025764NIH HHS S10 OD018482
6 · The paper itself

Abstract

background and purposeCarotid intraplaque hemorrhage is associated with stroke, plaque thickness, stenosis, ulceration, and adventitial inflammation. Conflicting data exist on whether calcification is a marker of plaque instability, and no data exist on adventitial calcification. Our goal was to determine whether adventitial calcification and soft plaque (a rim sign) help predict carotid intraplaque hemorrhage. MATERIALS AND

methodsThis was a retrospective cohort study of 96 patients who underwent carotid MRA and CTA within 1 month, from 2009 to 2016. We excluded occlusions (n = 4) and near occlusions (n = 0), leaving 188 carotid arteries. Intraplaque hemorrhage was detected by using MPRAGE. Calcification, adventitial pattern, stenosis, maximum plaque thickness (total, soft, and hard), ulceration, and intraluminal thrombus on CTA were recorded. Atherosclerosis risk factors and medications were recorded. We used mixed-effects multivariable Poisson regression, accounting for 2 vessels per patient. For the final model, backward elimination was used with a threshold of P < .10. Receiver operating characteristic analysis determined intraplaque hemorrhage by using the area under the curve.

resultsOur final model included the rim sign (prevalence ratio = 11.9, P < .001) and maximum soft-plaque thickness (prevalence ratio = 1.2, P = .06). This model had excellent intraplaque hemorrhage prediction (area under the curve = 0.94), outperforming the rim sign, maximum soft-plaque thickness, NASCET stenosis, and ulceration (area under the curve = 0.88, 0.86, 0.77, and 0.63, respectively; P < .001). Addition of the rim sign performed better than each marker alone, including maximum soft-plaque thickness (area under the curve = 0.94 versus 0.86, P < .001), NASCET stenosis (area under the curve = 0.90 versus 0.77, P < .001), and ulceration (area under the curve = 0.90 versus 0.63, P < .001).

conclusionsThe CTA rim sign of adventitial calcification with internal soft plaque is highly predictive of carotid intraplaque hemorrhage.

Indexed as

HemorrhageAgedArea Under CurveCalcinosisCarotid StenosisCohort StudiesComputed Tomography AngiographyFemaleHumansMagnetic Resonance AngiographyMaleMiddle AgedPlaque, AtheroscleroticPrevalenceRetrospective StudiesRisk Factors

Identifiers

PMID27102316
PMCPMC7960279

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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.