Fractional Flow Reserve Derived from Computed Tomography Coronary Angiography in the Assessment and Management of Stable Chest Pain: Rationale and Design of the FORECAST Trial

2020 ◽  
Vol 21 (7) ◽  
pp. 890-896 ◽  
Author(s):  
Michael Mahmoudi ◽  
Zoe Nicholas ◽  
Jacqui Nuttall ◽  
Moniek Bresser ◽  
Tom Maishman ◽  
...  
2020 ◽  
Author(s):  
Lavinia Gabara ◽  
Jonathan Hinton ◽  
Thomas Russell Gilpin ◽  
Nick Curzen

Computed tomography coronary angiography is emerging as the preferred diagnostic tool for patients with chest pain. Additional knowledge of the extent and distribution of myocardial ischemia enables tailored patient management. Computed tomography-derived fractional flow reserve (FFRCT) employs computed tomography coronary angiography raw data processed via complex computational fluid dynamics and produces a surrogate of the invasive fractional flow reserve (FFR) thus delivering anatomical and physiological assessment in a single test. FFRCT has been extensively validated against invasive FFR and observational clinical studies have consistently demonstrated its utility as gatekeeper to invasive angiography while also reducing downstream clinical events and costs. Novel workstation-based models of estimating FFR are now being tested. Ongoing and future research results will define their role in clinical practice.


2021 ◽  
Vol 1 (11) ◽  
Author(s):  
Yi-Sheng Chao ◽  
Jennifer Horton

Computed tomography-derived fractional flow reserve (CT-FFR) may predict coronary artery disease or flow-limiting stenosis in adult patients with stable chest pain better than coronary CT angiography alone, based on the relevant studies in 2 systematic reviews. CT-FFR is associated with a decreased need for invasive coronary angiography and revascularization in adult patients with stable chest pain, based on findings from 1 systematic review. In the US settings, CT-FFR was dominant (i.e., less costly and more effective) compared to stress testing for the evaluation of low-risk stable chest pain, based on findings from 1 cost-effectiveness study.


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