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Carotid Plaque-RADS: A Novel Stroke Risk Classification System

  • Luca Saba*
  • , Riccardo Cau
  • , Alessandro Murgia
  • , Andrew N. Nicolaides
  • , Max Wintermark
  • , Mauricio Castillo
  • , Daniel Staub
  • , Stravos K. Kakkos
  • , Qi Yang
  • , Kosmas I. Paraskevas
  • , Chun Yuan
  • , Myriam Edjlali
  • , Roberto Sanfilippo
  • , Jeroen Hendrikse
  • , Elias Johansson
  • , Mahmud Mossa-Basha
  • , Niranjan Balu
  • , Martin Dichgans
  • , David Saloner
  • , Daniel Bos
  • H. Rolf Jager, Ross Naylor, Gavino Faa, Jasjit S. Suri, Justin Costello, Dorothee P. Auer, J. Scott Mcnally, Leo H. Bonati, Valentina Nardi, Aad van der Lugt, Maura Griffin, Bruce A. Wasserman, M. Eline Kooi, Jonathan Gillard, Giuseppe Lanzino, Dimitri P. Mikhailidis, Daniel M. Mandell, John C. Benson, Dianne H.K. van Dam-Nolen, Anna Kopczak, Jae Song, Ajay Gupta, J. Kevin DeMarco, Seemant Chaturvedi, Renu Virmani, Thomas S. Hatsukami, Martin Brown, Alan R. Moody, Peter Libby, Andreas Schindler, Tobias Saam
*Corresponding author for this work
  • University of Cagliari
  • Vascular Screening and Diagnostic Centre, Nicosia
  • University of Texas MD Anderson Cancer Center
  • University of North Carolina at Chapel Hill
  • Universitätsspital Basel
  • University of Patras, School of Medicine
  • Capital Medical University
  • Central Clinic of Athens
  • University of Washington
  • Institute of Psychiatry and Neuroscience of Paris
  • Utrecht University
  • Umeå University
  • Klinikum der Universität München
  • University of California at San Francisco
  • University College London
  • Glenfield Hospital
  • AtheroPoin
  • Uniformed Services University of the Health Sciences
  • University of Nottingham
  • University of Utah School of Medicine
  • Mayo Clinic Rochester, MN
  • Johns Hopkins University
  • Maastricht University
  • University of Cambridge
  • University Health Network
  • Erasmus University Rotterdam
  • Hospital of the University of Pennsylvania
  • Cornell University
  • University of Maryland Medical System
  • CVPath Institute, Inc.
  • University College London Hospitals NHS Foundation Trust
  • University of Toronto
  • Harvard Medical School
  • Die Radiologie

Research output: Contribution to journalArticleAcademicpeer-review

214 Citations (Scopus)
323 Downloads (Pure)

Abstract

Background: Carotid artery atherosclerosis is highly prevalent in the general population and is a well-established risk factor for acute ischemic stroke. Although the morphological characteristics of vulnerable plaques are well recognized, there is a lack of consensus in reporting and interpreting carotid plaque features. Objectives: The aim of this paper is to establish a consistent and comprehensive approach for imaging and reporting carotid plaque by introducing the Plaque–RADS (Reporting and Data System) score. Methods: A panel of experts recognized the necessity to develop a classification system for carotid plaque and its defining characteristics. Using a multimodality analysis approach, the Plaque-RADS categories were established through consensus, drawing on existing published reports. Results: The authors present a universal classification that is applicable to both researchers and clinicians. The Plaque-RADS score offers a morphological assessment in addition to the prevailing quantitative parameter of “stenosis.” The Plaque-RADS score spans from grade 1 (indicating complete absence of plaque) to grade 4 (representing complicated plaque). Accompanying visual examples are included to facilitate a clear understanding of the Plaque-RADS categories. Conclusions: Plaque-RADS is a standardized and reliable system of reporting carotid plaque composition and morphology via different imaging modalities, such as ultrasound, computed tomography, and magnetic resonance imaging. This scoring system has the potential to help in the precise identification of patients who may benefit from exclusive medical intervention and those who require alternative treatments, thereby enhancing patient care. A standardized lexicon and structured reporting promise to enhance communication between radiologists, referring clinicians, and scientists.

Original languageEnglish
Pages (from-to)62-75
Number of pages14
JournalJACC: Cardiovascular Imaging
Volume17
Issue number1
Early online date11 Oct 2023
DOIs
Publication statusPublished - Jan 2024

Bibliographical note

Publisher Copyright:
© 2024 American College of Cardiology Foundation

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