Evidence map›Paper›PMID 34617065›Full record

ReviewJVS-vascular science2021

Review of imaging biomarkers for the vulnerable carotid plaque.

Luca Saba, Nivedita Agarwal, Riccardo Cau, Clara Gerosa, Roberto Sanfilippo, Michele Porcu, Roberto Montisci, Giulia Cerrone, Yang Qi, Antonella Balestrieri and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in JVS-vascular science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

38 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Carotid atherosclerotic lesion analysis in 3D based on distance encoding in mesh representation.International journal of computer assisted radiology and surgery · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Pericarotid Fat as a Marker of Cerebrovascular Risk.AJNR. American journal of neuroradiology · 2024
    Review
  17. Article
  18. Review
  19. Review
  20. 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

14 authors at 5 institutions in 2 countries.

Luca SabaDepartment of Radiology, University of Cagliari, Cagliari, Italy.
Nivedita AgarwalSection of Radiology, Santa Maria del Carmine Hospital, Rovereto, Italy.
Riccardo CauDepartment of Radiology, University of Cagliari, Cagliari, Italy.
Clara GerosaDepartment of Pathology, Azienda Ospedaliero Universitaria, Cagliari, Italy.
Roberto SanfilippoDepartment of Vascular Surgery, Azienda Ospedaliero Universitaria, Cagliari, Italy.
Michele PorcuDepartment of Radiology, University of Cagliari, Cagliari, Italy.
Roberto MontisciDepartment of Vascular Surgery, Azienda Ospedaliero Universitaria, Cagliari, Italy.
Giulia CerroneDepartment of Pathology, Azienda Ospedaliero Universitaria, Cagliari, Italy.
Yang QiXuanwu Hospital, Capital Medical University, Beijing, China.
Antonella BalestrieriDepartment of Radiology, University of Cagliari, Cagliari, Italy.
Pierleone LucatelliVascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy.
Carola PolitiDepartment of Radiology, University of Cagliari, Cagliari, Italy.
Gavino FaaDepartment of Pathology, Azienda Ospedaliero Universitaria, Cagliari, Italy.
Jasjit S SuriStroke Diagnosis and Monitoring Division, AtheroPoint™, Roseville, Calif.
Azienda Ospedaliero-Universitaria Cagliari · ITUniversity of Cagliari · ITCapital Medical University · CNOspedale Santa Maria · ITPoliclinico Umberto I · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of carotid artery atherosclerosis is conventionally based on measurements of luminal stenosis. However, histopathologic studies demonstrate considerable differences between plaques with identical degrees of stenosis and indicate that certain plaque features are associated with increased risk for ischemic events. As a result of the rapid technological evolution in medical imaging, several important steps have been taken in the field of carotid plaque imaging allowing us to visualize the carotid atherosclerotic plaque and its composition in great detail. For computed tomography, magnetic resonance imaging, positron emission tomography, and ultrasound scan, evidence has accumulated on novel imaging-based markers that confer information on carotid plaque vulnerability, such as intraplaque hemorrhage and lipid-rich necrotic cores. In terms of the imaging-based identification of individuals at high risk of stroke, routine assessments of such imaging markers are the way forward for improving current clinical practice. The current review highlights the main characteristics of the vulnerable plaque indicating their role in the etiology of ischemic stroke as identified by intensive plaque imaging.

Indexed as

CarotidPlaqueStenosis

Identifiers

PMID34617065
PMCPMC8489200
OpenAlexW3161363426

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.