Evidence map›Paper›PMID 40213415›Full record

ReviewInternational journal of cardiology. Heart & vasculature2025

Carotid plaque characteristics by computed Tomography: A diagnostic accuracy systematic review.

David Pakizer, Jiří Kozel, Jolanda Elmers, Janusz Feber, Vincent Dunet, Patrik Michel, David Školoudík, Gaia Sirimarco

Abstract readReview
In one paragraph

Review in International journal of cardiology. Heart & vasculature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. 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

8 authors.

David PakizerCenter for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic.
Jiří KozelCenter for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic.
Jolanda ElmersMedical Library, Lausanne University Hospital and University of Lausanne, Chemin des Falaises 2, 1005 Lausanne, Switzerland.
Janusz FeberCenter for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic.
Vincent DunetDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Switzerland.
Patrik MichelStroke Center, Service of Neurology, Department of Clinical Neurosciences, University Hospital of Lausanne and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland.
David ŠkoloudíkCenter for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic.
Gaia SirimarcoStroke Center, Service of Neurology, Department of Clinical Neurosciences, University Hospital of Lausanne and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beyond the stenosis degree, the carotid plaque morphology assessed by computed tomography may improve the stroke risk stratification and is recommended to be considered before interventional treatment according to current guidelines. This study aimed to systematically review the accuracy of computed tomography (CT) to detect carotid plaque characteristics compared to histology in patients with symptomatic and asymptomatic carotid plaques. We registered the protocol in PROSPERO and searched Medline Ovid, Embase.com, Cochrane Library, and Web of Science for diagnostic accuracy of CT in specific carotid plaque characteristic imaging compared to histology, without any search limitation up to May 27, 2022. Out of 8,168 studies, 20 studies that evaluated seven specific plaque characteristics were included in our systematic review. The best diagnostic performance was found for the detection of ulceration (sensitivity range 39.4-100% [mean 79.6%], specificity range 74-100% [mean 93.6%]), followed by calcification (72.7-100% [88.1%], 35.7-100% [80.1%]), lipid-rich necrotic core (63.2-95.6% [81.1%], 60-100% [80.1%]), and intraplaque hemorrhage (61.5-100% [86%], 20-99.5% [67.8%]). Only a few studies evaluated specifically vulnerable, mixed, and fibrous plaque. Diagnostic studies with larger sample sizes are needed, using novel available CT techniques that enable increasing diagnostic performance and decreasing radiation and amount of contrast agent. CT allows for highly accurate detection of carotid plaque features, particularly ulceration and calcification. These results underline the role of routine CT examinations to assess not only stenosis degree but also plaque morphology and individual patient stroke risk to better guide management.

Indexed as

Carotid atherosclerosisCarotid plaqueCarotid stenosisComputed tomographyDiagnostic accuracyUnstable plaque

Identifiers

PMID40213415
PMCPMC11982955

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.