CT-based Fractional Flow Reserve: Development and Expanded Application

Overview

Journal Glob Cardiol Sci Pract

Specialty Cardiology & Vascular Diseases

Date 2021 Nov 22

PMID 34805378

Citations 5

Authors

Ryo Torii

Magdi H Yacoub

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

Computed Tomography-Derived Fractional Flow Reserve: Developing A Gold Standard for Coronary Artery Disease Diagnostics.

Hu L, Wang Y, Rao J, Tan L, He M, Zeng X Rev Cardiovasc Med. 2024; 25(10):372.

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Non-invasive fractional flow reserve estimation in coronary arteries using angiographic images.

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Feasibility of CT Angiography-derived Kinetic Energy of Coronary Flow to Improve the Detection of Hemodynamically Significant Coronary Stenosis.

Tomizawa N, Nozaki Y, Fujimoto S, Fan R, Takahashi D, Kudo A Radiol Cardiothorac Imaging. 2023; 4(6):e220147.

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Analysis identifying minimal governing parameters for clinically accurate fractional flow reserve.

Tanade C, Chen S, Leopold J, Randles A Front Med Technol. 2022; 4:1034801.

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