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Research ArticleNeurovascular/Stroke Imaging

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, M. Eline Kooi, Tobias Saam, Riccardo Cau and Giuseppe Lanzino
American Journal of Neuroradiology October 2025, 46 (10) 2009-2017; DOI: https://doi.org/10.3174/ajnr.A8769
Luca Saba
aFrom 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
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Roberta Scicolone
aFrom 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
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Gian Luca Chabert
aFrom 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
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Daniel Bos
bDepartment of Radiology and Nuclear Medicine (D.B.), Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, the Netherlands
cDepartment of Epidemiology (D.B.), Erasmus MC, Rotterdam, the Netherlands
dDepartment of Cardiovascular Sciences (D.B.), KU Leuven, Leuven, Belgium
eDepartment of Clinical Epidemiology (D.B.), Harvard School of Public Health, Boston, Massachusetts
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Anna Kopczak
fInstitute for Stroke and Dementia Research (A.K.), University Hospital, LMU Munich, Munich, Germany
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Mahmud Mossa-Basha
gDepartment of Radiology (M.M.-B.), University of Washington Medical Center, Seattle, Washington
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Jae W. Song
hDepartment of Radiology (J.W.S.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
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Roberto Sanfilippo
iDepartment of Vascular Surgery, Azienda Ospedaliero-Universitaria (A.O.U.), di Cagliari—Polo di Monserrato, Cagliari, Italy
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Andreas Schindler
jInstitute of Neuroradiology (A.S., T.S.), University Hospital, LMU Munich, Germany.
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Andrew N. Nicolaides
kVascular Screening and Diagnostic Centre (A.N.N.), University of Nicosia Medical School, Nicosia, Cyprus.
lDepartment of Vascular Surgery (A.N.N.), Imperial College, London, United Kingdom
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M. Eline Kooi
mDepartment of Radiology and Nuclear Medicine (M.E.K.), Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
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Tobias Saam
jInstitute of Neuroradiology (A.S., T.S.), University Hospital, LMU Munich, Germany.
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Riccardo Cau
aFrom 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
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Giuseppe Lanzino
nDepartment of Neurosurgery (G.L.), Mayo Clinic, Rochester, Minnesota
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Abstract

BACKGROUND AND PURPOSE: Atherosclerotic 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 METHODS: In 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).

RESULTS: After 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).

CONCLUSIONS: In 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.

ABBREVIATIONS:

HU
Hounsfield unit
IPH
intraplaque hemorrhage
MWT
maximum wall thickness
RADS
Reporting and Data System
  • © 2025 by American Journal of Neuroradiology
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Luca Saba, Roberta Scicolone, Gian Luca Chabert, Daniel Bos, Anna Kopczak, Mahmud Mossa-Basha, Jae W. Song, Roberto Sanfilippo, Andreas Schindler, Andrew N. Nicolaides, M. Eline Kooi, Tobias Saam, Riccardo Cau, Giuseppe Lanzino
Carotid Plaque-RADS: Inter- and Intrareader Agreement and Learning Curve Analysis in CTA
American Journal of Neuroradiology Oct 2025, 46 (10) 2009-2017; DOI: 10.3174/ajnr.A8769

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Carotid Plaque-RADS: Inter- and Intra-Reader Agree
Luca Saba, Roberta Scicolone, Gian Luca Chabert, Daniel Bos, Anna Kopczak, Mahmud Mossa-Basha, Jae W. Song, Roberto Sanfilippo, Andreas Schindler, Andrew N. Nicolaides, M. Eline Kooi, Tobias Saam, Riccardo Cau, Giuseppe Lanzino
American Journal of Neuroradiology Oct 2025, 46 (10) 2009-2017; DOI: 10.3174/ajnr.A8769
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