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Molecules 2017, 22(4), 562; doi:10.3390/molecules22040562

Research Progress on 18F-Labeled Agents for Imaging of Myocardial Perfusion with Positron Emission Tomography

1
Department of Nuclear Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
2
State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen 361102, China
*
Author to whom correspondence should be addressed.
Academic Editor: Young-Tae Chang
Received: 13 January 2017 / Revised: 14 February 2017 / Accepted: 20 February 2017 / Published: 30 March 2017
(This article belongs to the Section Medicinal Chemistry)
View Full-Text   |   Download PDF [3329 KB, uploaded 4 April 2017]   |  

Abstract

Coronary artery disease (CAD) is the leading cause of death in the world. Myocardial perfusion imaging (MPI) plays a significant role in non-invasive diagnosis and prognosis of CAD. However, neither single-photon emission computed tomography nor positron emission tomography clinical MPI agents can absolutely satisfy the demands of clinical practice. In the past decades, tremendous developments happened in the field of 18F-labeled MPI tracers. This review summarizes the current state of 18F-labeled MPI tracers, basic research data of those tracers, and the future direction of MPI tracer research. View Full-Text
Keywords: positron emission tomography; 18F-labeled radiotracers; myocardial perfusion imaging; mitochondrial complex-1; lipophilic cations positron emission tomography; 18F-labeled radiotracers; myocardial perfusion imaging; mitochondrial complex-1; lipophilic cations
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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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Mou, T.; Zhang, X. Research Progress on 18F-Labeled Agents for Imaging of Myocardial Perfusion with Positron Emission Tomography. Molecules 2017, 22, 562.

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