"coronary stenosis ranging from 50-90% (moderate and severe stenosis – CAD-RADS 3 and 4a)"
"CT-FFR ≤0.75 – ischaemia: invasive coronary angiography should be considered in individuals, who likely benefit from revascularisation"
"CT-FFR >0.80 – non-ischaemic lesion: invasive coronary angiography can be deferred and medical therapy should be optimised"
"CT-FFR 0.76-0.8 – borderline lesion: invasive coronary angiography should be considered based on patient symptoms, lesion location translesional pressure loss (>0.12 is considered significant) and expected revascularisation benefit"
"The post-processing steps require quantification of the patient-specific coronary lumen dimensions and left ventricular for an estimation of the baseline coronary blood flow 5."
"time-consuming and costly post-processing"
"coronary stenosis ranging from 50-90% (moderate and severe stenosis – CAD-RADS 3 and 4a)"
Expected headings
"Clinical evaluation"
"Computed fractional flow reserve (FFR-CT), also known as CT-derived fractional flow reserve (CT-FFR), is a technique that uses machine learning for modelling coronary flow-related parameters such as coronary flow, velocity, pressure and resistance and thus the non-invasive calculation of the fractional flow reserve. The process has been based on the extraction of conventional coronary CT angiography data and the use of computational flow dynamics 1-5."
"governing equations of fluid dynamics for coronary flow, velocity and pressure"