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Perfusion cardiovascular magnetic resonance and fractional flow reserve in patients with angiographic multi-vessel coronary artery disease

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, July 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)

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Title
Perfusion cardiovascular magnetic resonance and fractional flow reserve in patients with angiographic multi-vessel coronary artery disease
Published in
Critical Reviews in Diagnostic Imaging, July 2016
DOI 10.1186/s12968-016-0263-0
Pubmed ID
Authors

Shazia T. Hussain, Amedeo Chiribiri, Geraint Morton, Nuno Bettencourt, Andreas Schuster, Matthias Paul, Divaka Perera, Eike Nagel

Abstract

Perfusion cardiovascular magnetic resonance (CMR) and fractional flow reserve (FFR) are emerging as the most accurate tools for the assessment of myocardial ischemia noninvasively or in the catheter laboratory. However, there is limited data comparing CMR and FFR in patients with multi-vessel disease. This study aims to evaluate the correlation between myocardial ischemia detected by CMR with FFR in patients with multivessel coronary disease at angiography. Forty-one patients (123 vascular territories) with angiographic 2- or 3-vessel coronary artery disease (visual stenosis >50 %) underwent high-resolution adenosine stress perfusion CMR at 1.5 T and FFR measurement. An FFR value of <0.75 was considered significant. On a per patient basis, CMR and FFR detected identical ischemic territories in 19 patients (46 %) (mean number of territories 0.7+/-0.7 in both (p = 1.0)). On a per vessel basis, 89 out of 123 territories demonstrated concordance between the CMR and FFR results (72 %). In 34 % of the study population, CMR resulted in fewer ischemic territories than FFR; in 12 % CMR resulted in more ischemic territories than FFR. There was good concordance between the two methods to detect myocardial ischemia on a per-patient (k =0.658 95 % CI 0.383-0.933) level and moderate concordance on a per-vessel (k = 0.453 95 % CI 0.294-0.612) basis. There is good concordance between perfusion CMR and FFR for the identification of myocardial ischemia in patients with multi-vessel disease. However, some discrepancy remains and at this stage it is unclear whether CMR underestimates or FFR overestimates the number of ischemic segments in multi-vessel disease.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Other 8 16%
Student > Ph. D. Student 5 10%
Student > Postgraduate 5 10%
Student > Doctoral Student 2 4%
Other 6 12%
Unknown 14 28%
Readers by discipline Count As %
Medicine and Dentistry 26 52%
Engineering 4 8%
Psychology 2 4%
Materials Science 1 2%
Chemistry 1 2%
Other 0 0%
Unknown 16 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 October 2016.
All research outputs
#7,850,159
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#597
of 1,386 outputs
Outputs of similar age
#122,807
of 378,618 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#17
of 20 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 378,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.