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Coronary Artery Disease - Reporting and Data System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC.

Publication ,  Journal Article
Cury, RC; Abbara, S; Achenbach, S; Agatston, A; Berman, DS; Budoff, MJ; Dill, KE; Jacobs, JE; Maroules, CD; Rubin, GD; Rybicki, FJ; Shaw, LJ ...
Published in: JACC Cardiovasc Imaging
September 2016

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.

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Published In

JACC Cardiovasc Imaging

DOI

EISSN

1876-7591

Publication Date

September 2016

Volume

9

Issue

9

Start / End Page

1099 / 1113

Location

United States

Related Subject Headings

  • Terminology as Topic
  • Severity of Illness Index
  • Prognosis
  • Predictive Value of Tests
  • Information Storage and Retrieval
  • Humans
  • Forms and Records Control
  • Electronic Health Records
  • Documentation
  • Data Collection
 

Citation

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Cury, R. C., Abbara, S., Achenbach, S., Agatston, A., Berman, D. S., Budoff, M. J., … Leipsic, J. A. (2016). Coronary Artery Disease - Reporting and Data System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC. JACC Cardiovasc Imaging, 9(9), 1099–1113. https://doi.org/10.1016/j.jcmg.2016.05.005
Cury, Ricardo C., Suhny Abbara, Stephan Achenbach, Arthur Agatston, Daniel S. Berman, Matthew J. Budoff, Karin E. Dill, et al. “Coronary Artery Disease - Reporting and Data System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC.JACC Cardiovasc Imaging 9, no. 9 (September 2016): 1099–1113. https://doi.org/10.1016/j.jcmg.2016.05.005.
Cury RC, Abbara S, Achenbach S, Agatston A, Berman DS, Budoff MJ, et al. Coronary Artery Disease - Reporting and Data System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC. JACC Cardiovasc Imaging. 2016 Sep;9(9):1099–113.
Cury, Ricardo C., et al. “Coronary Artery Disease - Reporting and Data System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC.JACC Cardiovasc Imaging, vol. 9, no. 9, Sept. 2016, pp. 1099–113. Pubmed, doi:10.1016/j.jcmg.2016.05.005.
Cury RC, Abbara S, Achenbach S, Agatston A, Berman DS, Budoff MJ, Dill KE, Jacobs JE, Maroules CD, Rubin GD, Rybicki FJ, Schoepf UJ, Shaw LJ, Stillman AE, White CS, Woodard PK, Leipsic JA. Coronary Artery Disease - Reporting and Data System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC. JACC Cardiovasc Imaging. 2016 Sep;9(9):1099–1113.
Journal cover image

Published In

JACC Cardiovasc Imaging

DOI

EISSN

1876-7591

Publication Date

September 2016

Volume

9

Issue

9

Start / End Page

1099 / 1113

Location

United States

Related Subject Headings

  • Terminology as Topic
  • Severity of Illness Index
  • Prognosis
  • Predictive Value of Tests
  • Information Storage and Retrieval
  • Humans
  • Forms and Records Control
  • Electronic Health Records
  • Documentation
  • Data Collection