Literature DB >> 27318576

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

Ricardo C Cury1, Suhny Abbara2, Stephan Achenbach3, Arthur Agatston4, Daniel S Berman5, Matthew J Budoff6, Karin E Dill7, Jill E Jacobs8, Christopher D Maroules9, Geoffrey D Rubin10, Frank J Rybicki11, U Joseph Schoepf12, Leslee J Shaw13, Arthur E Stillman14, Charles S White15, Pamela K Woodard16, Jonathon A Leipsic17.   

Abstract

The intent of CAD-RADS - Coronary Artery Disease Reporting and Data System is to create a standardized method to communicate findings of coronary CT angiography (coronary CTA) in order to facilitate decision-making regarding further patient management. The suggested CAD-RADS classification is applied on a per-patient basis and represents the highest-grade coronary artery lesion documented by coronary CTA. It ranges from CAD-RADS 0 (Zero) for the complete absence of stenosis and plaque to CAD-RADS 5 for the presence of at least one totally occluded coronary artery and should always be interpreted in conjunction with the impression found in the report. Specific recommendations are provided for further management of patients with stable or acute chest pain based on the CAD-RADS classification. The main goal of CAD-RADS is to standardize reporting of coronary CTA results and to facilitate communication of test results to referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will provide a framework of standardization that may benefit education, research, peer-review and quality assurance with the potential to ultimately result in improved quality of care.
Copyright © 2016 Society of Cardiovascular Computed Tomography and the American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CAD-RADS; Coronary artery disease; coronary CTA; report standardization terminology; reporting and data system; stenosis severity

Mesh:

Year:  2016        PMID: 27318576     DOI: 10.1016/j.jacr.2016.04.024

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  30 in total

1.  Invasive coronary angiography findings across the CAD-RADS classification spectrum.

Authors:  Gaston A Rodriguez-Granillo; Patricia Carrascosa; Alejandro Goldsmit; Armin Arbab-Zadeh
Journal:  Int J Cardiovasc Imaging       Date:  2019-06-21       Impact factor: 2.357

2.  Structure or entropy in reporting cardiac CT findings.

Authors:  Marc Dewey
Journal:  Int J Cardiovasc Imaging       Date:  2016-07-28       Impact factor: 2.357

3.  Diagnostic Performance of Hybrid Cardiac Imaging Methods for Assessment of Obstructive Coronary Artery Disease Compared With Stand-Alone Coronary Computed Tomography Angiography: A Meta-Analysis.

Authors:  Asim Rizvi; Donghee Han; Ibrahim Danad; Bríain Ó Hartaigh; Ji Hyun Lee; Heidi Gransar; Wijnand J Stuijfzand; Hadi Mirhedayati Roudsari; Mahn Won Park; Jackie Szymonifka; Hyuk-Jae Chang; Erica C Jones; Paul Knaapen; Fay Y Lin; James K Min; Jessica M Peña
Journal:  JACC Cardiovasc Imaging       Date:  2017-08-16

Review 4.  Evolving, innovating, and revolutionary changes in cardiovascular imaging: We've only just begun!

Authors:  Leslee J Shaw; Rory Hachamovitch; James K Min; Marcelo Di Carli; Jennifer H Mieres; Lawrence Phillips; Ron Blankstein; Andrew Einstein; Viviany R Taqueti; Robert Hendel; Daniel S Berman
Journal:  J Nucl Cardiol       Date:  2018-02-21       Impact factor: 5.952

Review 5.  CAD-RADS - a new clinical decision support tool for coronary computed tomography angiography.

Authors:  Borek Foldyna; Bálint Szilveszter; Jan-Erik Scholtz; Dahlia Banerji; Pál Maurovich-Horvat; Udo Hoffmann
Journal:  Eur Radiol       Date:  2017-11-07       Impact factor: 5.315

6.  Vessel-specific quantification of absolute myocardial blood flow, myocardial flow reserve and relative flow reserve by means of fused dynamic 13NH3 PET and CCTA: Ranges in a low-risk population and abnormality criteria.

Authors:  Marina Piccinelli; Sang-Geon Cho; Ernest V Garcia; Erick Alexanderson; Joo Myung Lee; C David Cooke; Nikhil Goyal; Mauricio Santos Sanchez; Russel D Folks; Zhengjia Chen; John Votaw; Bon-Kwon Koo; Hee-Seung Bom
Journal:  J Nucl Cardiol       Date:  2018-10-29       Impact factor: 5.952

7.  A vulnerable plaque identified on CT coronary angiography: when should we act in stable coronary artery disease?

Authors:  Sarah R Blake; Thomas D Heseltine; Scott Murray; Balazs Ruzsics
Journal:  BMJ Case Rep       Date:  2017-08-01

8.  Coronary artery calcium quantification using contrast-enhanced dual-energy computed tomography scans in comparison with unenhanced single-energy scans.

Authors:  Qin Li; Benjamin P Berman; Tomoe Hagio; Marios A Gavrielides; Rongping Zeng; Berkman Sahiner; Qi Gong; Yuan Fang; Songtao Liu; Nicholas Petrick
Journal:  Phys Med Biol       Date:  2018-08-30       Impact factor: 3.609

9.  Impact of non-invasive anatomical testing on optimal medical prescription in patients with suspected coronary artery disease.

Authors:  Stijn Devuyst; Arno Gigase; Jerrold Spapen; Sofie Brouwers; Thomas Couck; Jeroen Sonck; Takuya Mizukami; Carlo Gigante; Herbert de Raedt; Dan Schelfaut; Ward Heggermont; Bernard De Bruyne; Martin Penicka; Guy Van Camp; Carlos Collet
Journal:  Cardiovasc Diagn Ther       Date:  2019-06

10.  Use of Coronary Computed Tomography Angiography to Screen Hospital Employees with Cardiovascular Risk Factors.

Authors:  Po-Yi Li; Ru-Yih Chen; Fu-Zong Wu; Guang-Yuan Mar; Ming-Ting Wu; Fu-Wei Wang
Journal:  Int J Environ Res Public Health       Date:  2021-05-20       Impact factor: 3.390

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