CAD-RADS(TM) 2.0-2022 Coronary Artery Disease-Reporting and Data System

Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Book Volume: 15

Pages Range: 1974-2001

Journal Issue: 11

DOI: 10.1016/j.jcmg.2022.07.002

Abstract

Coronary Artery Disease Reporting and Data System (CAD-RADS) was created to standardize reporting system for patients undergoing coronary CT angiography (CCTA) and to guide possible next steps in patient management. The goal of this updated 2022 CAD-RADS 2.0 is to improve the initial reporting system for CCTA by considering new technical developments in cardiac CT, including data from recent clinical trials and new clinical guidelines. The updated CAD-RADS classification will follow an established framework of stenosis, plaque burden, and modifiers, which will include assessment of lesion-specific ischemia using CT fractional-flow-reserve (CT-FFR) or myocardial CT perfusion (CTP), when performed. Similar to the method used in the original CAD-RADS version, the determinant for stenosis severity classification will be the most severe coronary artery luminal stenosis on a per-patient basis, ranging from CAD-RADS 0 (zero) for absence of any plaque or stenosis to CAD-RADS 5 indicating the presence of at least one totally occluded coronary artery. Given the increasing data supporting the prognostic relevance of coronary plaque burden, this document will provide various methods to estimate and report total plaque burden. The addition of P1 to P4 descriptors are used to denote increasing categories of plaque burden. The main goal of CAD-RADS, which should always be interpreted together with the impression found in the report, remains to facilitate communication of test results with referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving patient care. (J Am Coll Cardiol Img 2022;15:1974-2001) (c) 2022 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Authors with CRIS profile

Involved external institutions

Baptist Health South Florida United States (USA) (US) University of British Columbia Canada (CA) University of Texas Southwestern Medical Center (UT Southwestern) United States (USA) (US) Cedars-Sinai Medical Center United States (USA) (US) University of Pittsburgh United States (USA) (US) University of California Los Angeles (UCLA) United States (USA) (US) Beaumont Hospital Ireland (IE) George Washington University (GWU) United States (USA) (US) Massachusetts General Hospital United States (USA) (US) New York University (NYU) United States (USA) (US) Duke University United States (USA) (US) Abbott Northwestern Hospital United States (USA) (US) Naval Medical Center Portsmouth (NMCP) United States (USA) (US) University of Arizona United States (USA) (US) University of Cincinnati United States (USA) (US) Icahn School of Medicine at Mount Sinai United States (USA) (US) University of Edinburgh United Kingdom (GB) Mayo Clinic United States (USA) (US) University of Maryland United States (USA) (US) University of Virginia (UVA) United States (USA) (US) Harvard University United States (USA) (US)

How to cite

APA:

Cury, R.C., Leipsic, J., Abbara, S., Achenbach, S., Berman, D., Bittencourt, M.,... Blankstein, R. (2022). CAD-RADS(TM) 2.0-2022 Coronary Artery Disease-Reporting and Data System. Journal of the American College of Cardiology : Cardiovascular imaging, 15(11), 1974-2001. https://doi.org/10.1016/j.jcmg.2022.07.002

MLA:

Cury, Ricardo C., et al. "CAD-RADS(TM) 2.0-2022 Coronary Artery Disease-Reporting and Data System." Journal of the American College of Cardiology : Cardiovascular imaging 15.11 (2022): 1974-2001.

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