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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. 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). JACC Cardiovasc Imaging 2022; 15:1974-2001. [PMID: 36115815 DOI: 10.1016/j.jcmg.2022.07.002] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/10/2022] [Accepted: 07/02/2022] [Indexed: 12/14/2022]
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.
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Affiliation(s)
- Ricardo C Cury
- Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, Florida, USA.
| | - Jonathon Leipsic
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Suhny Abbara
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Stephan Achenbach
- Friedrich-Alexander-Universität, Department of Cardiology, Erlangen, Germany
| | - Daniel Berman
- Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Marcio Bittencourt
- Division of Cardiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew Budoff
- David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | | | - Andrew D Choi
- The George Washington University School of Medicine, Washington, DC, USA
| | - Brian Ghoshhajra
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jill Jacobs
- NYU Langone Medical Center, New York, New York, USA
| | - Lynne Koweek
- Department of Radiology, Duke University, Durham, North Carolina, USA
| | - John Lesser
- Division of Cardiology, Minneapolis Heart Institute, Minneapolis, Minnesota, USA
| | | | - Geoffrey D Rubin
- Department of Medical Imaging, University of Arizona, Tucson, Arizona, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Eric Williamson
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Todd C Villines
- Division of Cardiology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
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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. 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). J Am Coll Radiol 2022; 19:1185-1212. [PMID: 36436841 DOI: 10.1016/j.jacr.2022.09.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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.
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Affiliation(s)
- Ricardo C Cury
- Miami Cardiac and Vascular Institute and Baptist Health of South Florida, 8900 N Kendall Drive, Miami FL, 33176, USA.
| | - Jonathon Leipsic
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Suhny Abbara
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Stephan Achenbach
- Friedrich-Alexander-Universität, Department of Cardiology, Erlangen, Germany
| | | | | | - Matthew Budoff
- David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | - Andrew D Choi
- The George Washington University School of Medicine, Washington, DC, USA
| | - Brian Ghoshhajra
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill Jacobs
- NYU Langone Medical Center, New York, NY, USA
| | - Lynne Koweek
- Department of Radiology, Duke University, Durham, NC, USA
| | - John Lesser
- Division of Cardiology, Minneapolis Heart Institute, Minneapolis, MN, USA
| | | | - Geoffrey D Rubin
- Department of Medical Imaging, University of Arizona, Tucson, AZ, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | - Todd C Villines
- Division of Cardiology, University of Virginia Health System, Charlottesville, VA, USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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“I’m [still] not a robot”. J Cardiovasc Comput Tomogr 2022; 16:465-466. [DOI: 10.1016/j.jcct.2022.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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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. 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). J Cardiovasc Comput Tomogr 2022; 16:536-557. [PMID: 35864070 DOI: 10.1016/j.jcct.2022.07.002] [Citation(s) in RCA: 148] [Impact Index Per Article: 49.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/10/2022] [Accepted: 07/02/2022] [Indexed: 12/14/2022]
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.
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Affiliation(s)
- Ricardo C Cury
- Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami FL, USA.
| | - Jonathon Leipsic
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Suhny Abbara
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Stephan Achenbach
- Friedrich-Alexander-Universität, Department of Cardiology, Erlangen, Germany
| | | | | | - Matthew Budoff
- David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | - Andrew D Choi
- The George Washington University School of Medicine, Washington, DC, USA
| | - Brian Ghoshhajra
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill Jacobs
- NYU Langone Medical Center, New York, NY, USA
| | - Lynne Koweek
- Department of Radiology, Duke University, Durham, NC, USA
| | - John Lesser
- Division of Cardiology, Minneapolis Heart Institute, Minneapolis, MN, USA
| | | | - Geoffrey D Rubin
- Department of Medical Imaging, University of Arizona, Tucson, AZ, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | - Todd C Villines
- Division of Cardiology, University of Virginia Health System, Charlottesville, VA, USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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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. 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). Radiol Cardiothorac Imaging 2022; 4:e220183. [PMID: 36339062 PMCID: PMC9627235 DOI: 10.1148/ryct.220183] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/10/2022] [Accepted: 07/02/2022] [Indexed: 06/16/2023]
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. Keywords: Coronary Artery Disease, Coronary CTA, CAD-RADS, Reporting and Data System, Stenosis Severity, Report Standardization Terminology, Plaque Burden, Ischemia Supplemental material is available for this article. This article is published synchronously in Radiology: Cardiothoracic Imaging, Journal of Cardiovascular Computed Tomography, JACC: Cardiovascular Imaging, Journal of the American College of Radiology, and International Journal for Cardiovascular Imaging. © 2022 Society of Cardiovascular Computed Tomography. Published by RSNA with permission.
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Affiliation(s)
- Ricardo C. Cury
- Miami Cardiac and Vascular Institute and Baptist Health of South
Florida, 8900 N Kendall Drive, Miami FL, 33176, USA
| | | | - Suhny Abbara
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX,
USA
| | - Stephan Achenbach
- Friedrich-Alexander-Universität, Department of Cardiology,
Ulmenweg 18, 90154, Erlangen, Germany
| | | | | | | | | | - Andrew D. Choi
- The George Washington University School of Medicine, USA
| | | | - Jill Jacobs
- NYU Langone Medical Center, 550 First Avenue, New York, NY, 10016,
USA
| | | | - John Lesser
- Division of Cardiology, Minneapolis Heart Institute, USA
| | | | | | - Frank J. Rybicki
- Department of Radiology, University of Cincinnati College of
Medicine, USA
| | | | | | | | | | - Todd C. Villines
- Division of Cardiology, University of Virginia Health System,
USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School,
USA
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