Evidence map›Paper›PMID 40291852›Full record

ArticleEuropean heart journal. Imaging methods and practice2025

Quantification of carotid artery plaque and peri-vascular adipose tissue attenuation on computed tomography.

Beth Whittington, Viswan Thiagarajah, Evangelos Tzolos, Jakub Kaczynski, Caelan Taggart, Alex Vesey, Damini Dey, Rachael O Forsythe, Andrew Tambyraja, Edwin J R van Beek and 3 more

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Beth WhittingtonBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0003-2833-5980
Viswan ThiagarajahBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
Evangelos TzolosBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0003-0038-043X
Jakub KaczynskiBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0002-3005-6860
Caelan TaggartBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0001-7379-5439
Alex VeseyBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0001-7681-3778
Damini DeyDepartment of Medicine (Division of Artificial Intelligence in Medicine) and Biomedical Imaging Research Institute, Cedars-Sinai Medical Centre, Los Angeles, CA 90048, USA.ORCID https://orcid.org/0000-0003-2236-6970
Rachael O ForsytheBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0002-3311-9599
Andrew TambyrajaBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0002-9393-6291
Edwin J R van BeekEdinburgh Imaging, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0002-2777-5071
Marc R DweckBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0001-9847-5917
David E NewbyBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0001-7971-4628
Michelle C WilliamsBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0003-3556-2428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Quantitative assessment of carotid artery plaque on computed tomography (CT) may identify high-risk phenotypes associated with culprit lesions and subsequent ischaemic stroke or transient ischaemic attack. Methods and results: Carotid CT angiography was performed in 48 patients with acute ischaemic stroke or transient ischaemic attack within 21 days. Quantitative plaque assessment was performed in the proximal 6 cm of the internal and external carotid artery, distal 6 cm of the common carotid artery, and residual common carotid artery. Semi-automated quantification included assessment of non-calcified, calcified, low-attenuation, and total plaque, area and diameter stenosis, and peri-vascular adipose tissue attenuation. In 48 patients (mean age 71 ± 11 years, 67% male), 96 vessels were assessed with 30 (31%) identified as culprit vessels. Culprit internal carotid arteries had greater area [83 (65, 94) vs. 64 (55, 77)%] and diameter [56 (39, 74) vs. 32 (21, 48)%] stenosis and more non-calcified [563 (413, 965) vs. 428 (283 649) mm Conclusion: Carotid atherosclerotic plaque characteristics are the principal features associated with culprit plaques with little or no demonstrable relationship with calcified plaque or increased peri-vascular adipose tissue attenuation.

Indexed as

carotid atherosclerosisperi-vascular adipose tissue attenuationquantitative plaque analysis

Identifiers

PMID40291852
PMCPMC12023745

What Socratic holds

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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 Socratic graph.