Coronary CT Angiography–derived Fractional Flow Reserve
نویسندگان
چکیده
منابع مشابه
Computed Fractional Flow Reserve (FFTCT) Derived from Coronary CT Angiography
Recent advances in image-based modeling and computational fluid dynamics permit the calculation of coronary artery pressure and flow from typically acquired coronary computed tomography (CT) scans. Computed fractional flow reserve is the ratio of mean coronary artery pressure divided by mean aortic pressure under conditions of simulated maximal coronary hyperemia, thus providing a noninvasive e...
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Little doubt exists about the outcome benefit of an invasive strategy in patients with an acute coronary syndrome (ACS). Yet, once the revascularization is performed, the treatment strategy of patients admitted with an ACS is not always as straightforward in daily clinical practice as indicated in guidelines. The reasons for this are at least three-fold. First, a sizable proportion of patients ...
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Fractional flow reserve (FFR) has become an increasingly important index for decision making with respect to revascularization of coronary artery stenosis. It is the gold standard to indicate whether a particular stenosis is responsible for inducible ischemia and it is generally accepted that a stenosis with an ischemic value of FFR is responsible for angina pectoris and a worse outcome, and sh...
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Fractional flow reserve (FFR) is considered nowadays as the gold standard for invasive assessment of physiologic stenosis significance and an indispensable tool for decision-making in coronary revascularization. Robust studies have shown that FFR is more effective in accurately identifying which lesions should be stented, and revascularization guided by FFR improves the outcome of coronary arte...
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This paper aims to provide a short overview of the theoretical background for coronary pressure-derived fractional flow reserve (FFR) index and to focus on its clinical applicability in complex coronary intervention.
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ژورنال
عنوان ژورنال: Radiology
سال: 2017
ISSN: 0033-8419,1527-1315
DOI: 10.1148/radiol.2017162641