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Computed Fractional Flow Reserve (FFT(CT)) 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...

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Detalles Bibliográficos
Autores principales: Zarins, Christopher K., Taylor, Charles A., Min, James K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790916/
https://www.ncbi.nlm.nih.gov/pubmed/23934536
http://dx.doi.org/10.1007/s12265-013-9498-4
Descripción
Sumario: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 estimate of fractional flow reserve (FFR(CT)) at every point in the coronary tree. Prospective multicenter clinical trials have shown that computed FFR(CT) improves diagnostic accuracy and discrimination compared to CT stenosis alone for the diagnosis of hemodynamically significant coronary artery disease (CAD), when compared to invasive FFR as the reference gold standard. This promising new technology provides a combined anatomic and physiologic assessment of CAD in a single noninvasive test that can help select patients for invasive angiography and revascularization or best medical therapy. Further evaluation of the clinical effectiveness and economic implications of noninvasive FFR(CT) are now being explored.