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Cardiothoracic Magnetic Resonance Flow Imaging

Overview of attention for article published in Journal of Thoracic Imaging, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 X user
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1 patent
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1 Facebook page

Citations

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42 Dimensions

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113 Mendeley
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Title
Cardiothoracic Magnetic Resonance Flow Imaging
Published in
Journal of Thoracic Imaging, July 2013
DOI 10.1097/rti.0b013e31829192a1
Pubmed ID
Authors

Michael D Hope, Tony Sedlic, Petter Dyverfeldt

Abstract

Multidimensional blood flow imaging with magnetic resonance has rapidly evolved over the last decade. The technique, often referred to as 4-dimensional (4D) flow, can now reliably image the heart and principal vessels of the chest in ≤15 minutes. In addition to dynamic 3D flow visualization, a range of unique quantitative hemodynamic markers can be calculated from 4D flow data. In this review article, we describe some of the more promising of these hemodynamic markers, including pulse wave velocity, pressure, turbulent kinetic energy, wall shear stress, and flow eccentricity. Evaluation of a range of cardiothoracic disorders has been explored with 4D flow, and many applications have been proposed. We also review the potential clinical applications of 4D flow in 4 broad contexts: the aorta, the pulmonary artery, acquired heart disease, and complex congenital heart disease. Promising preliminary results will be highlighted, including the use of abnormal systolic blood flow to risk-stratify patients for progressive valve-related aortic disease, turbulent kinetic energy to directly assess the hemodynamic impact of a stenotic lesion, and altered intracardiac flow to identify early heart failure. We discuss ongoing research efforts in the context of the larger clinical goals of 4D flow: the use of unique hemodynamic markers to (1) identify cardiovascular disease processes early in their course before clinical manifestation so that preemptive treatment can be undertaken; (2) refine the assessment of cardiovascular disease so as to better identify optimal medical or surgical therapies; and (3) enhance the evaluation and monitoring of the hemodynamic impact of different treatment options.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Netherlands 3 3%
United Kingdom 1 <1%
Norway 1 <1%
Unknown 105 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 22%
Student > Master 22 19%
Researcher 20 18%
Student > Doctoral Student 9 8%
Professor > Associate Professor 8 7%
Other 15 13%
Unknown 14 12%
Readers by discipline Count As %
Medicine and Dentistry 41 36%
Engineering 36 32%
Computer Science 7 6%
Biochemistry, Genetics and Molecular Biology 2 2%
Social Sciences 2 2%
Other 6 5%
Unknown 19 17%
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 04 December 2018.
All research outputs
#7,778,730
of 25,374,647 outputs
Outputs from Journal of Thoracic Imaging
#106
of 837 outputs
Outputs of similar age
#62,482
of 206,711 outputs
Outputs of similar age from Journal of Thoracic Imaging
#2
of 11 outputs
Altmetric has tracked 25,374,647 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 837 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 86% 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 206,711 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 69% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.