Noninvasive Fractional Flow Reserve Derived From Coronary CT Angiography

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...

Noninvasive Fractional Flow Reserve Derived From Coronary CT Angiography: Clinical Data and Scientific Principles.

Fractional flow reserve derived from coronary computed tomography angiography enables noninvasive assessment of the hemodynamic significance of coronary artery lesions and coupling of the anatomic severity of a coronary stenosis with its physiological effects. Since its initial demonstration of feasibility of use in humans in 2011, a significant body of clinical evidence has developed to evalua...

Coronary Computed Tomography Angiography With Selective Noninvasive Fractional Flow Reserve

Coronary Computed Tomography Angiography With Selective Noninvasive Fractional Flow Reserve

Based on review of available data, the Company may consider the use of noninvasive fractional flow reserve (FFR) following a positive coronary computed tomography angiography (CCTA) to guide decisions about the use of invasive coronary angiography (ICA) in patients with stable chest pain at intermediate risk of coronary artery disease (CAD i.e., suspected or presumed stable ischemic heart disea...

Coronary Computed Tomography Angiography with Selective Noninvasive Fractional Flow Reserve

Fractional flow reserve using coronary computed tomography angiography requires at least 64slice coronary computed tomography angiography and cannot be calculated when images lack sufficient quality (HeartFlow, 2013) (11% to 13% in recent studies; Koo et al, 2011; Min et al, 2012; Nakazato et al, 2013; Nørgaard et al, 2014), e.g., in obese individuals (e.g., body mass index, >35 kg/m2). The pre...