Evidence map›Paper›PMID 25315518›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2014

Computed tomography angiography vs 3 T black-blood cardiovascular magnetic resonance for identification of symptomatic carotid plaques.

Jochen M Grimm, Andreas Schindler, Florian Schwarz, Clemens C Cyran, Anna Bayer-Karpinska, Tobias Freilinger, Chun Yuan, Jennifer Linn, Miguel Trelles, Maximilian F Reiser and 2 more

Abstract readComparative Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Black-Blood Contrast in Cardiovascular MRI.Journal of magnetic resonance imaging : JMRI · 2022
    Review
  6. Article
  7. Review of Journal of Cardiovascular Magnetic Resonance 2015.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2016
    Review
  8. Review of Journal of Cardiovascular Magnetic Resonance 2014.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2015
    Review
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

12 authors.

Jochen M GrimmInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. jochen.grimm@chuv.ch.
Andreas SchindlerInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. andreas.schindler@med.lmu.de.
Florian SchwarzInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. florian.schwarz@med.lmu.de.
Clemens C CyranInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. clemens.cyran@med.lmu.de.
Anna Bayer-KarpinskaInstitute for Stroke and Dementia Research, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. anna.karpinska@med.lmu.de.
Tobias FreilingerDepartment of Neurology and Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany. tobias.freilinger@uni-tuebingen.de.
Chun YuanDepartment of Radiology, University of Washington School of Medicine, Seattle, USA. cyuan@u.washington.edu.
Jennifer LinnDepartment of Neuroradiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. jennifer.linn@med.lmu.de.
Miguel TrellesDepartment of Radiology, University of Texas Medical Branch, Galveston, USA. mitrelle@utmb.edu.
Maximilian F ReiserInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. maximilian.reiser@med.lmu.de.
Konstantin NikolaouInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. konstantin.nikolaou@med.lmu.de.
Tobias SaamInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany. tobias.saam@med.lmu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this prospective study was to perform a head-to-head comparison of the two methods most frequently used for evaluation of carotid plaque characteristics: Multi-detector Computed Tomography Angiography (MDCTA) and black-blood 3 T-cardiovascular magnetic resonance (bb-CMR) with respect to their ability to identify symptomatic carotid plaques.

methods22 stroke unit patients with unilateral symptomatic carotid disease and >50% stenosis by duplex ultrasound underwent MDCTA and bb-CMR (TOF, pre- and post-contrast fsT1w-, and fsT2w- sequences) within 15 days of symptom onset. Both symptomatic and contralateral asymptomatic sides were evaluated. By bb-CMR, plaque morphology, composition and prevalence of complicated AHA type VI lesions (AHA-LT6) were evaluated. By MDCTA, plaque type (non-calcified, mixed, calcified), plaque density in HU and presence of ulceration and/or thrombus were evaluated. Sensitivity (SE), specificity (SP), positive and negative predictive value (PPV, NPV) were calculated using a 2-by-2-table.

resultsTo distinguish between symptomatic and asymptomatic plaques AHA-LT6 was the best CMR variable and presence / absence of plaque ulceration was the best CT variable, resulting in a SE, SP, PPV and NPV of 80%, 80%, 80% and 80% for AHA-LT6 as assessed by bb-CMR and 40%, 95%, 89% and 61% for plaque ulceration as assessed by MDCTA. The combined SE, SP, PPV and NPV of bb-CMR and MDCTA was 85%, 75%, 77% and 83%, respectively.

conclusionsBb-CMR is superior to MDCTA at identifying symptomatic carotid plaques, while MDCTA offers high specificity at the cost of low sensitivity. Results were only slightly improved over bb-CMR alone when combining both techniques.

Indexed as

Magnetic Resonance ImagingMultidetector Computed TomographyPlaque, AtheroscleroticAgedCarotid Artery, InternalCarotid StenosisFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesSeverity of Illness IndexStroke

Identifiers

PMID25315518
PMCPMC4189681

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LicenceCC BY
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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.