Title |
Imaging atherosclerosis with hybrid [18F]fluorodeoxyglucose positron emission tomography/computed tomography imaging: What Leonardo da Vinci could not see
|
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Published in |
Journal of Nuclear Cardiology, October 2012
|
DOI | 10.1007/s12350-012-9631-9 |
Pubmed ID | |
Authors |
Myra S. Cocker, Brian Mc Ardle, J. David Spence, Cheemun Lum, Robert R. Hammond, Deidre C. Ongaro, Matthew A. McDonald, Robert A. deKemp, Jean-Claude Tardif, Rob S. B. Beanlands |
Abstract |
Prodigious efforts and landmark discoveries have led toward significant advances in our understanding of atherosclerosis. Despite significant efforts, atherosclerosis continues globally to be a leading cause of mortality and reduced quality of life. With surges in the prevalence of obesity and diabetes, atherosclerosis is expected to have an even more pronounced impact upon the global burden of disease. It is imperative to develop strategies for the early detection of disease. Positron emission tomography (PET) imaging utilizing [(18)F]fluorodeoxyglucose (FDG) may provide a non-invasive means of characterizing inflammatory activity within atherosclerotic plaque, thus serving as a surrogate biomarker for detecting vulnerable plaque. The aim of this review is to explore the rationale for performing FDG imaging, provide an overview into the mechanism of action, and summarize findings from the early application of FDG PET imaging in the clinical setting to evaluate vascular disease. Alternative imaging biomarkers and approaches are briefly discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Unknown | 65 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 21% |
Student > Ph. D. Student | 12 | 18% |
Student > Bachelor | 9 | 14% |
Other | 5 | 8% |
Lecturer | 3 | 5% |
Other | 11 | 17% |
Unknown | 12 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 32 | 48% |
Physics and Astronomy | 3 | 5% |
Engineering | 3 | 5% |
Agricultural and Biological Sciences | 2 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Other | 9 | 14% |
Unknown | 15 | 23% |