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Open Access 01-12-2009 | Review Article

The value of multi-slice-computed tomography coronary angiography for risk stratification

Authors: Jacob M. van Werkhoven, MSc, Jeroen J. Bax, MD, PhD, Gaetano Nucifora, MD, J. Wouter Jukema, MD, PhD, Lucia J. Kroft, MD, PhD, Albert de Roos, MD, PhD, Joanne D. Schuijf, PhD

Published in: Journal of Nuclear Cardiology | Issue 6/2009

Abstract

Multi-slice-computed tomography coronary angiography (CTA) provides direct non-invasive anatomic assessment of the coronary arteries allowing for early identification of coronary artery disease (CAD). This information is useful for diagnosis of CAD, particularly the rule out of CAD. In addition, early identification of CAD with CTA may also be useful for risk stratification. The purpose of this review is to provide an overview of the current literature on the prognostic value of CTA and to discuss how the prognostic information obtained with CTA can be used to further integrate the technique into clinical practice. Non-invasive anatomic assessment of plaque burden, location, composition, and remodeling using CTA may provide prognostically relevant information. This information has been shown to be incremental to the Framingham risk score, coronary artery calcium scoring, and myocardial perfusion imaging. Characterization of atherosclerosis non-invasively has the potential to provide important prognostic information enabling a more patient-tailored approach to disease management. Future studies assessing outcome after CTA-based risk adjustments are needed to further understand the value of detailed non-invasive anatomic imaging.

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Title: The value of multi-slice-computed tomography coronary angiography for risk stratification
Authors: Jacob M. van Werkhoven, MSc
Jeroen J. Bax, MD, PhD
Gaetano Nucifora, MD
J. Wouter Jukema, MD, PhD
Lucia J. Kroft, MD, PhD
Albert de Roos, MD, PhD
Joanne D. Schuijf, PhD
Publication date: 01-12-2009
Publisher: Springer-Verlag
Published in: Journal of Nuclear Cardiology / Issue 6/2009
Print ISSN: 1071-3581
Electronic ISSN: 1532-6551
DOI: https://doi.org/10.1007/s12350-009-9144-3

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