Key result
CT-based fractional flow reserve is a successful non-invasive tool for assessing coronary stenosis severity, with emerging potential applications in myocardial bridging, renal, and lower limb stenoses.
Why the study?
Although CT-based fractional flow reserve is clinically efficacious, mathematical modelling frameworks vary, technical challenges remain debated, and its potential applications beyond coronary stenosis are expanding.
CT-based FFR is a highly effective non-invasive tool for assessing coronary stenosis severity, with ongoing advancements in machine learning and reduced-order modeling to decrease processing time and expand its use to other vascular beds.
CT-based FFR enables noninvasive stenosis assessment; leaves open optimal modeling frameworks for routine integration.
Computations of fractional flow reserve, based on CT coronary angiography and computational fluid dynamics (CT-based FFR) to assess the severity of coronary artery stenosis, was introduced around a decade ago and is now one of the most successful applications of computational fluid dynamic modelling in clinical practice. Although the mathematical modelling framework behind this approach and the clinical operational model vary, its clinical efficacy has been demonstrated well in general. In this review, technical elements behind CT-based FFR computation are summarised with some key assumptions and challenges. Examples of these challenges include the complexity of the model (such as blood viscosity and vessel wall compliance modelling), whose impact has been debated in the research. Efforts made to address the practical challenge of processing time are also reviewed. Then, further application areas-myocardial bridge, renal stenosis and lower limb stenosis-are discussed along with specific challenges expected in these areas.
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Torii et al. (2021) conducted a review in Coronary artery disease and other vascular stenoses. CT-based fractional flow reserve (CT-FFR) was evaluated. CT-based fractional flow reserve is a successful non-invasive tool for assessing coronary stenosis severity, with emerging potential applications in myocardial bridging, renal, and lower limb stenoses.
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