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Automatic calculation of myocardial external efficiency using a single 11C-acetate PET scan

Overview of attention for article published in Journal of Nuclear Cardiology, June 2018
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Title
Automatic calculation of myocardial external efficiency using a single 11C-acetate PET scan
Published in
Journal of Nuclear Cardiology, June 2018
DOI 10.1007/s12350-018-1338-0
Pubmed ID
Authors

Hendrik J. Harms, Nils Henrik S. Hansson, Tanja Kero, Tomasz Baron, Lars P. Tolbod, Won Y. Kim, Jørgen Frøkiær, Frank A. Flachskampf, Henrik Wiggers, Jens Sörensen

Abstract

Myocardial external efficiency (MEE) is defined as the ratio of kinetic energy associated with cardiac work [forward cardiac output (FCO)*mean systemic pressure] and the chemical energy from oxygen consumed (MVO2) by the left ventricular mass (LVM). We developed a fully automated method for estimating MEE based on a single 11C-acetate PET scan without ECG-gating. Ten healthy controls, 34 patients with aortic valve stenosis (AVS), and 20 patients with mitral valve regurgitation (MVR) were recruited in a dual-center study. MVO2 was calculated using washout of 11C -acetate activity. FCO and LVM were calculated automatically using dynamic PET and parametric image formation. FCO and LVM were also obtained using cardiac magnetic resonance (CMR) in all subjects. The correlation between MEEPET-CMR and MEEPET was high (r = 0.85, P < 0.001) without significant bias. MEEPET was 23.6 ± 4.2% for controls and was lowered in AVS (17.2 ± 4.3%, P < 0.001) and in MVR (18.0 ± 5.2%, P = 0.004). MEEPET was strongly associated with both NYHA class (P < 0.001) and the magnitude of valvular dysfunction (mean aortic gradient: P < 0.001, regurgitant fraction: P = 0.009). A single 11C-acetate PET yields accurate and automated MEE results on different scanners. MEE might provide an unbiased measurement of the phenotypic response to valvular disease.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Postgraduate 2 9%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Student > Bachelor 1 5%
Other 2 9%
Unknown 12 55%
Readers by discipline Count As %
Medicine and Dentistry 8 36%
Psychology 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Computer Science 1 5%
Unknown 10 45%
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 02 November 2020.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from Journal of Nuclear Cardiology
#1,304
of 2,044 outputs
Outputs of similar age
#222,033
of 342,601 outputs
Outputs of similar age from Journal of Nuclear Cardiology
#20
of 44 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,044 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,601 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.