Evidence map›Paper›PMID 40194857›Full record

ArticleAJNR. American journal of neuroradiology2025

Carotid Plaque-RADS: Inter- and Intrareader Agreement and Learning Curve Analysis in CTA.

Luca Saba, Roberta Scicolone, Gian Luca Chabert, Daniel Bos, Anna Kopczak, Mahmud Mossa-Basha, Jae W Song, Roberto Sanfilippo, Andreas Schindler, Andrew N Nicolaides and 4 more

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Application of the Carotid Plaque-RADS Classification System in Ultrasound: Inter- and Intra-Observer Agreement Analysis and Learning Curve Analysis.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    Article
  2. Article
  3. Thrombus composition identifies distinct etiologic phenotypes in embolic stroke of undetermined source.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  4. 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.

Luca SabaFrom the Department of Radiology (L.S., R. Scicolone, G.L.C., R.C.), Azienda Ospedaliero-Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, Cagliari, Italy lucasaba@tiscali.it.ORCID https://orcid.org/0000-0003-2870-3771
Roberta ScicoloneFrom the Department of Radiology (L.S., R. Scicolone, G.L.C., R.C.), Azienda Ospedaliero-Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, Cagliari, Italy.ORCID https://orcid.org/0009-0004-0324-7487
Gian Luca ChabertFrom the Department of Radiology (L.S., R. Scicolone, G.L.C., R.C.), Azienda Ospedaliero-Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, Cagliari, Italy.
Daniel BosDepartment of Radiology and Nuclear Medicine (D.B.), Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0001-8979-2603
Anna KopczakInstitute for Stroke and Dementia Research (A.K.), University Hospital, LMU Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-5037-2342
Mahmud Mossa-BashaDepartment of Radiology (M.M.-B.), University of Washington Medical Center, Seattle, Washington.ORCID https://orcid.org/0000-0001-7798-8158
Jae W SongDepartment of Radiology (J.W.S.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.ORCID https://orcid.org/0000-0002-3127-6427
Roberto SanfilippoDepartment of Vascular Surgery, Azienda Ospedaliero-Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, Cagliari, Italy.
Andreas SchindlerInstitute of Neuroradiology (A.S., T.S.), University Hospital, LMU Munich, Germany.ORCID https://orcid.org/0000-0003-0183-5782
Andrew N NicolaidesVascular Screening and Diagnostic Centre (A.N.N.), University of Nicosia Medical School, Nicosia, Cyprus.
M Eline KooiDepartment of Radiology and Nuclear Medicine (M.E.K.), Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands.ORCID https://orcid.org/0000-0001-7562-5724
Tobias SaamInstitute of Neuroradiology (A.S., T.S.), University Hospital, LMU Munich, Germany.ORCID https://orcid.org/0009-0002-5971-0296
Riccardo CauFrom the Department of Radiology (L.S., R. Scicolone, G.L.C., R.C.), Azienda Ospedaliero-Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, Cagliari, Italy.ORCID https://orcid.org/0000-0002-7910-1087
Giuseppe LanzinoDepartment of Neurosurgery (G.L.), Mayo Clinic, Rochester, Minnesota.ORCID https://orcid.org/0000-0003-1479-465X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeAtherosclerotic disease of the carotid arteries is a major cause of ischemic stroke. Traditionally, the degree of stenosis has been regarded as the primary parameter for predicting stroke risk, but emerging evidence highlights the importance of carotid plaque composition and morphology. Recently, the Carotid Plaque-Reporting and Data System (RADS) has been introduced to standardize carotid plaque assessment beyond the degree of carotid stenosis. However, its reliability in routine radiologic practice has yet to be established. This study assesses the interreader agreement, intrareader agreement, and learning curve associated with Carotid Plaque-RADS. MATERIALS AND

methodsIn this retrospective study, 500 subjects who underwent CTA for suspected carotid atherosclerosis were assessed. Three readers with varying experience levels in vascular imaging independently evaluated all CTAs in 5 blocks by using Carotid Plaque-RADS. To assess the impact of reader experience and potential improvement over time, interreader agreement between the 3 pairs of readers was calculated for each block by using Cohen κ, enabling a comparison of agreement sequentially across the blocks. Intrareader agreement was calculated on a random block of 100 patients (192 carotid arteries).

resultsAfter exclusion of low-quality examinations, 490 patients were selected for analysis, but 46 carotid arteries were excluded due to previous revascularization procedures. The remaining 934 carotid arteries were assessed. The agreement was substantial between expert and intermediate readers, ranging from κ = 0.78 to κ = 0.88, moderate between intermediate and beginner readers, ranging from κ = 0.50 to κ = 0.74, and between expert and beginner improved from substantial (κ = 0.68) to almost optimal (κ = 0.86) across blocks, indicating the effect of a learning curve. The interreader percent agreement was best for Plaque-RADS category 1, 2, and 3 and poorest for 4. Intrareader agreement was substantial for the beginner (κ = 0.77) and almost perfect for both the intermediate and expert readers (κ = 0.88).

conclusionsIn the CTA application of the Carotid Plaque-RADS, interreader agreement is substantial to near perfect among experienced and intermediate readers, with a notable learning curve for beginners. Intrareader agreement is almost perfect in experienced and intermediate readers, indicating consistency of their grading, ensuring data reproducibility by using Carotid Plaque-RADS.

Indexed as

Carotid StenosisComputed Tomography AngiographyLearning CurvePlaque, AtheroscleroticAgedFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsRetrospective Studies

Identifiers

PMID40194857
PMCPMC12633665

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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.