Title |
Design and rationale of the MR-INFORM study: stress perfusion cardiovascular magnetic resonance imaging to guide the management of patients with stable coronary artery disease
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Published in |
Critical Reviews in Diagnostic Imaging, September 2012
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DOI | 10.1186/1532-429x-14-65 |
Pubmed ID | |
Authors |
Shazia T Hussain, Matthias Paul, Sven Plein, Gerry P McCann, Ajay M Shah, Michael S Marber, Amedeo Chiribiri, Geraint Morton, Simon Redwood, Philip MacCarthy, Andreas Schuster, Masaki Ishida, Mark A Westwood, Divaka Perera, Eike Nagel |
Abstract |
In patients with stable coronary artery disease (CAD), decisions regarding revascularisation are primarily driven by the severity and extent of coronary luminal stenoses as determined by invasive coronary angiography. More recently, revascularisation decisions based on invasive fractional flow reserve (FFR) have shown improved event free survival. Cardiovascular magnetic resonance (CMR) perfusion imaging has been shown to be non-inferior to nuclear perfusion imaging in a multi-centre setting and superior in a single centre trial. In addition, it is similar to invasively determined FFR and therefore has the potential to become the non-invasive test of choice to determine need for revascularisation. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 2% |
United Kingdom | 1 | <1% |
Ireland | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 106 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 25 | 23% |
Student > Ph. D. Student | 13 | 12% |
Other | 11 | 10% |
Student > Bachelor | 10 | 9% |
Student > Master | 8 | 7% |
Other | 13 | 12% |
Unknown | 31 | 28% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 64 | 58% |
Engineering | 3 | 3% |
Agricultural and Biological Sciences | 2 | 2% |
Physics and Astronomy | 2 | 2% |
Nursing and Health Professions | 1 | <1% |
Other | 4 | 4% |
Unknown | 35 | 32% |