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Diagnostics 2016, 6(3), 32; doi:10.3390/diagnostics6030032

Clinical Utility and Future Applications of PET/CT and PET/CMR in Cardiology

1
Departments of Medicine Cardiology Division, University of Virginia Health System, Charlottesville, VA 22903, USA
2
Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22903, USA
3
Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22903, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Andreas Kjaer
Received: 6 June 2016 / Revised: 17 August 2016 / Accepted: 23 August 2016 / Published: 2 September 2016
(This article belongs to the Special Issue Positron Emission Tomography (PET) in Cardiology and Oncology)
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Abstract

Over the past several years, there have been major advances in cardiovascular positron emission tomography (PET) in combination with either computed tomography (CT) or, more recently, cardiovascular magnetic resonance (CMR). These multi-modality approaches have significant potential to leverage the strengths of each modality to improve the characterization of a variety of cardiovascular diseases and to predict clinical outcomes. This review will discuss current developments and potential future uses of PET/CT and PET/CMR for cardiovascular applications, which promise to add significant incremental benefits to the data provided by each modality alone. View Full-Text
Keywords: positron emission tomography; cardiovascular magnetic resonance; computed tomography; PET/CT; PET/CMR; myocardial; molecular imaging positron emission tomography; cardiovascular magnetic resonance; computed tomography; PET/CT; PET/CMR; myocardial; molecular imaging
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Pan, J.A.; Salerno, M. Clinical Utility and Future Applications of PET/CT and PET/CMR in Cardiology. Diagnostics 2016, 6, 32.

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