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The Pivotal Role of Imaging in TAVR Procedures

Overview of attention for article published in Current Cardiology Reports, February 2018
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Title
The Pivotal Role of Imaging in TAVR Procedures
Published in
Current Cardiology Reports, February 2018
DOI 10.1007/s11886-018-0949-z
Pubmed ID
Authors

Caroline Bleakley, Mark J. Monaghan

Abstract

Transcatheter aortic valve replacement (TAVR) is underpinned by an array of imaging techniques designed to not only select an appropriately sized implant but also to identify potential obstacles to procedural success. This review presents currently important aspects of TAVR imaging, describing the salient features of each modality as well as recent developments in the field. The latest data on TAVR outcomes reflects the increasing experience of operators and the significant role of pre-procedural imaging. Debate continues as to which modality sizes the aortic annulus most accurately, 3D transoesophageal echocardiography (TEE) or MDCT, as well as to whether the merits of real-time peri-procedural 3D imaging guidance outweigh the possible adverse consequences of general anaesthesia which is requisite for intraprocedural 3D TEE. TAVR is now largely based on pre-acquired roadmaps of the truncal vasculature and intense pre-procedural planning. TEE and Multi-detector computed tomography (MDCT) have been shown to perform similarly in annulus sizing. However, given the complexity of many TAVR patients and the importance of identifying the most suitable pathway to the valve as well as any potentially confounding other structural or functional heart disease, both modalities remain relevant in current TAVR.

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Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 16%
Student > Master 5 11%
Researcher 4 9%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 3 7%
Other 7 16%
Unknown 15 33%
Readers by discipline Count As %
Medicine and Dentistry 21 47%
Engineering 4 9%
Business, Management and Accounting 1 2%
Materials Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%
Unknown 17 38%