Evidence map›Paper›PMID 36339062›Full record

ArticleRadiology. Cardiothoracic imaging2022

CAD-RADS™ 2.0 - 2022 Coronary Artery Disease - Reporting and Data System An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America Society of Cardiovascular Imaging (NASCI).

Ricardo C Cury, Jonathon Leipsic, Suhny Abbara, Stephan Achenbach, Daniel Berman, Marcio Bittencourt, Matthew Budoff, Kavitha Chinnaiyan, Andrew D Choi, Brian Ghoshhajra and 12 more

Open access · greenAbstract read
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
14.4field-weighted citation impact, top 1% of its field
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

55 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
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  5. Seasonal patterns in diagnosis of coronary artery disease by CT-angiography-experience from a large real-world cohort.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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  14. Review
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  17. Review
  18. Evaluation of coronary artery calcium score by age and sex: a multicenter study.The international journal of cardiovascular imaging · 2025
    Article
  19. Article
  20. 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

22 authors at 20 institutions in 4 countries.

Ricardo C CuryMiami Cardiac and Vascular Institute and Baptist Health of South Florida, 8900 N Kendall Drive, Miami FL, 33176, USA.ORCID https://orcid.org/0000-0001-6948-2886
Jonathon LeipsicDepartment of Radiology, University of British Columbia, Canada.ORCID https://orcid.org/0000-0002-6133-8334
Suhny AbbaraDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0003-2552-7362
Stephan AchenbachFriedrich-Alexander-Universität, Department of Cardiology, Ulmenweg 18, 90154, Erlangen, Germany.ORCID https://orcid.org/0000-0002-7596-095X
Daniel BermanCedars-Sinai Medical Center, USA.ORCID https://orcid.org/0000-0002-3793-9578
Marcio BittencourtDivision of Cardiology, University of Pittsburgh, USA.ORCID https://orcid.org/0000-0002-3711-1754
Matthew BudoffDavid Geffen School of Medicine, UCLA, USA.ORCID https://orcid.org/0000-0002-9616-1946
Kavitha ChinnaiyanBeaumont Hospital, Royal Oak, MI, USA.
Andrew D ChoiThe George Washington University School of Medicine, USA.ORCID https://orcid.org/0000-0003-0232-1994
Brian GhoshhajraDepartment of Radiology, Massachusetts General Hospital, USA.ORCID https://orcid.org/0000-0002-3865-3432
Jill JacobsNYU Langone Medical Center, 550 First Avenue, New York, NY, 10016, USA.ORCID https://orcid.org/0000-0002-3865-3432
Lynne KoweekDepartment of Radiology, Duke University, USA.ORCID https://orcid.org/0000-0001-9990-3397
John LesserDivision of Cardiology, Minneapolis Heart Institute, USA.ORCID https://orcid.org/0000-0001-9219-5754
Christopher MaroulesNaval Medical Center Department of Radiology, USA.ORCID https://orcid.org/0000-0001-6761-5577
Geoffrey D RubinDepartment of Medical Imaging, University of Arizona, USA.ORCID https://orcid.org/0000-0002-3820-2500
Frank J RybickiDepartment of Radiology, University of Cincinnati College of Medicine, USA.ORCID https://orcid.org/0000-0002-3820-2500
Leslee J ShawIcahn School of Medicine at Mount Sinai, USA.ORCID https://orcid.org/0000-0003-1268-1491
Michelle C WilliamsUniversity of Edinburgh, UK.ORCID https://orcid.org/0000-0003-3556-2428
Eric WilliamsonDepartment of Radiology, Mayo Clinic, USA.ORCID https://orcid.org/0000-0002-2066-9612
Charles S WhiteUniversity of Maryland, USA.ORCID https://orcid.org/0000-0002-9789-7648
Todd C VillinesDivision of Cardiology, University of Virginia Health System, USA.ORCID https://orcid.org/0000-0003-2674-3702
Ron BlanksteinBrigham and Women's Hospital, Harvard Medical School, USA.ORCID https://orcid.org/0000-0002-8393-6562
Baptist Hospital of Miami · USBeaumont Hospital · USBrigham and Women's Hospital · USCedars-Sinai Medical Center · USDuke University · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DEGeorge Washington University · USIcahn School of Medicine at Mount Sinai · USMassachusetts General Hospital · USMayo Clinic in Arizona · USMinneapolis Heart Institute Foundation · USNaval Medical Center San Diego · USNYU Langone Health · USOlive View-UCLA Medical Center · USSouthwestern Medical Center · USUniversity of Arizona · USUniversity of British Columbia · CAUniversity of Cincinnati Medical Center · USUniversity of Edinburgh · GBUniversity of Maryland, College Park · US

Funding

British Heart Foundation FS/ICRF/20/26002
6 · The paper itself

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.

Indexed as

CAD-RADSCoronary Artery DiseaseCoronary CTAIschemiaPlaque BurdenReporting and Data SystemReport Standardization TerminologyStenosis Severity

Identifiers

PMID36339062
PMCPMC9627235
OpenAlexW4296664047

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.