| Title |
Coronary Computed Tomography Angiography Derived Fractional Flow Reserve and Plaque Stress
|
|---|---|
| Published in |
Current Cardiovascular Imaging Reports, January 2016
|
| DOI | 10.1007/s12410-015-9366-5 |
| Pubmed ID | |
| Authors |
Bjarne Linde Nørgaard, Jonathon Leipsic, Bon-Kwon Koo, Christopher K. Zarins, Jesper Møller Jensen, Niels Peter Sand, Charles A. Taylor |
| Abstract |
Fractional flow reserve (FFR) measured during invasive coronary angiography is an independent prognosticator in patients with coronary artery disease and the gold standard for decision making in coronary revascularization. The integration of computational fluid dynamics and quantitative anatomic and physiologic modeling now enables simulation of patient-specific hemodynamic parameters including blood velocity, pressure, pressure gradients, and FFR from standard acquired coronary computed tomography (CT) datasets. In this review article, we describe the potential impact on clinical practice and the science behind noninvasive coronary computed tomography (CT) angiography derived fractional flow reserve (FFRCT) as well as future applications of this technology in treatment planning and quantifying forces on atherosclerotic plaques. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 43 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 14 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 27% |
| Engineering | 10 | 23% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Mathematics | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 15 | 34% |
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 06 January 2016.
All research outputs
#18,434,182
of 22,837,982 outputs
Outputs from Current Cardiovascular Imaging Reports
#78
of 107 outputs
Outputs of similar age
#284,137
of 393,343 outputs
Outputs of similar age from Current Cardiovascular Imaging Reports
#3
of 3 outputs
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So far Altmetric has tracked 107 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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