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Feasibility of cardiovascular magnetic resonance derived coronary wave intensity analysis

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, December 2016
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Title
Feasibility of cardiovascular magnetic resonance derived coronary wave intensity analysis
Published in
Critical Reviews in Diagnostic Imaging, December 2016
DOI 10.1186/s12968-016-0312-8
Pubmed ID
Authors

Claire E. Raphael, Jennifer Keegan, Kim H. Parker, Robin Simpson, Julian Collinson, Vass Vassiliou, Ricardo Wage, Peter Drivas, Stephen Strain, Robert Cooper, Ranil de Silva, Rod H. Stables, Carlo Di Mario, Michael Frenneaux, Dudley J. Pennell, Justin E. Davies, Alun D. Hughes, David Firmin, Sanjay K. Prasad

Abstract

Wave intensity analysis (WIA) of the coronary arteries allows description of the predominant mechanisms influencing coronary flow over the cardiac cycle. The data are traditionally derived from pressure and velocity changes measured invasively in the coronary artery. Cardiovascular magnetic resonance (CMR) allows measurement of coronary velocities using phase velocity mapping and derivation of central aortic pressure from aortic distension. We assessed the feasibility of WIA of the coronary arteries using CMR and compared this to invasive data. CMR scans were undertaken in a serial cohort of patients who had undergone invasive WIA. Velocity maps were acquired in the proximal left anterior descending and proximal right coronary artery using a retrospectively-gated breath-hold spiral phase velocity mapping sequence with high temporal resolution (19 ms). A breath-hold segmented gradient echo sequence was used to acquire through-plane cross sectional area changes in the proximal ascending aorta which were used as a surrogate of an aortic pressure waveform after calibration with brachial blood pressure measured with a sphygmomanometer. CMR-derived aortic pressures and CMR-measured velocities were used to derive wave intensity. The CMR-derived wave intensities were compared to invasive data in 12 coronary arteries (8 left, 4 right). Waves were presented as absolute values and as a % of total wave intensity. Intra-study reproducibility of invasive and non-invasive WIA was assessed using Bland-Altman analysis and the intraclass correlation coefficient (ICC). The combination of the CMR-derived pressure and velocity data produced the expected pattern of forward and backward compression and expansion waves. The intra-study reproducibility of the CMR derived wave intensities as a % of the total wave intensity (mean ± standard deviation of differences) was 0.0 ± 6.8%, ICC = 0.91. Intra-study reproducibility for the corresponding invasive data was 0.0 ± 4.4%, ICC = 0.96. The invasive and CMR studies showed reasonable correlation (r = 0.73) with a mean difference of 0.0 ± 11.5%. This proof of concept study demonstrated that CMR may be used to perform coronary WIA non-invasively with reasonable reproducibility compared to invasive WIA. The technique potentially allows WIA to be performed in a wider range of patients and pathologies than those who can be studied invasively.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 5 16%
Student > Bachelor 4 13%
Other 3 9%
Student > Master 2 6%
Other 3 9%
Unknown 9 28%
Readers by discipline Count As %
Medicine and Dentistry 10 31%
Engineering 4 13%
Agricultural and Biological Sciences 2 6%
Economics, Econometrics and Finance 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 13 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 January 2017.
All research outputs
#14,765,716
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#887
of 1,386 outputs
Outputs of similar age
#215,028
of 422,342 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#26
of 30 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
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 is in the 35th percentile – i.e., 35% 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 422,342 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.