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Optimization and Reproducibility of Aortic Valve 18F-Fluoride Positron Emission Tomography in Patients With Aortic Stenosis

Overview of attention for article published in Circulation: Cardiovascular Imaging, October 2016
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Article details
Title
Optimization and Reproducibility of Aortic Valve 18F-Fluoride Positron Emission Tomography in Patients With Aortic Stenosis
Published in
Circulation: Cardiovascular Imaging, October 2016
DOI 10.1161/circimaging.116.005131
Pubmed ID
Authors
Abstract

18F-Fluoride positron emission tomography (PET) and computed tomography (CT) can measure disease activity and progression in aortic stenosis. Our objectives were to optimize the methodology, analysis, and scan-rescan reproducibility of aortic valve 18F-fluoride PET-CT imaging. Fifteen patients with aortic stenosis underwent repeated 18F-fluoride PET-CT. We compared nongated PET and noncontrast CT, with a modified approach that incorporated contrast CT and ECG-gated PET. We explored a range of image analysis techniques, including estimation of blood-pool activity at differing vascular sites and a most diseased segment approach. Contrast-enhanced ECG-gated PET-CT permitted localization of 18F-fluoride uptake to individual valve leaflets. Uptake was most commonly observed at sites of maximal mechanical stress: the leaflet tips and the commissures. Scan-rescan reproducibility was markedly improved using enhanced analysis techniques leading to a reduction in percentage error from ±63% to ±10% (tissue to background ratio MDS mean of 1.55, bias -0.05, limits of agreement -0·20 to +0·11). Optimized 18F-fluoride PET-CT allows reproducible localization of calcification activity to different regions of the aortic valve leaflet and commonly to areas of increased mechanical stress. This technique holds major promise in improving our understanding of the pathophysiology of aortic stenosis and as a biomarker end point in clinical trials of novel therapies. URL: http://www.clinicaltrials.gov. Unique identifier: NCT02132026.

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The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 13%
Student > Bachelor 7 10%
Researcher 7 10%
Other 5 7%
Professor 5 7%
Other 13 18%
Unknown 25 35%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 29 41%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Nursing and Health Professions 2 3%
Agricultural and Biological Sciences 1 1%
Other 5 7%
Unknown 29 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2016.
All research outputs
#28,780,377
of 34,559,526 outputs
Outputs from Circulation: Cardiovascular Imaging
#1,708
of 1,932 outputs
Outputs of similar age
#272,378
of 339,785 outputs
Outputs of similar age from Circulation: Cardiovascular Imaging
#29
of 35 outputs
Altmetric has tracked 34,559,526 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
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