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Erschienen in: European Radiology 4/2018

07.11.2017 | Cardiac

CAD-RADS – a new clinical decision support tool for coronary computed tomography angiography

verfasst von: Borek Foldyna, Bálint Szilveszter, Jan-Erik Scholtz, Dahlia Banerji, Pál Maurovich-Horvat, Udo Hoffmann

Erschienen in: European Radiology | Ausgabe 4/2018

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Abstract

Coronary computed tomography angiography (CTA) has been established as an accurate method to non-invasively assess coronary artery disease (CAD). The proposed ‘Coronary Artery Disease Reporting and Data System’ (CAD-RADS) may enable standardised reporting of the broad spectrum of coronary CTA findings related to the presence, extent and composition of coronary atherosclerosis. The CAD-RADS classification is a comprehensive tool for summarising findings on a per-patient-basis dependent on the highest-grade coronary artery lesion, ranging from CAD-RADS 0 (absence of CAD) to CAD-RADS 5 (total occlusion of a coronary artery). In addition, it provides suggestions for clinical management for each classification, including further testing and therapeutic options. Despite some limitations, CAD-RADS may facilitate improved communication between imagers and patient caregivers. As such, CAD-RADS may enable a more efficient use of coronary CTA leading to more accurate utilisation of invasive coronary angiograms. Furthermore, widespread use of CAD-RADS may facilitate registry-based research of diagnostic and prognostic aspects of CTA.

Key points

• CAD-RADS is a tool for standardising coronary CTA reports.
• CAD-RADS includes clinical treatment recommendations based on CTA findings.
• CAD-RADS has the potential to reduce variability of CTA reports.
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Metadaten
Titel
CAD-RADS – a new clinical decision support tool for coronary computed tomography angiography
verfasst von
Borek Foldyna
Bálint Szilveszter
Jan-Erik Scholtz
Dahlia Banerji
Pál Maurovich-Horvat
Udo Hoffmann
Publikationsdatum
07.11.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 4/2018
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-5105-4

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