CT derived fractional flow reserve: Part 2 - Critical appraisal of the literature

Authors

Document Type

Journal Article

Publication Date

6-12-2025

Journal

Journal of cardiovascular computed tomography

DOI

10.1016/j.jcct.2025.05.241

Keywords

Computational fractional flow reserve; Coronary artery disease; Coronary computed tomography angiography

Abstract

The integration of computed tomography-derived fractional flow reserve (CT-FFR), utilizing computational fluid dynamics and artificial intelligence (AI) in routine coronary computed tomographic angiography (CCTA), presents a promising approach to enhance evaluations of functional lesion severity. Extensive evidence underscores the diagnostic accuracy, prognostic significance, and clinical relevance of CT-FFR, prompting recent clinical guidelines to recommend its combined use with CCTA for selected individuals with with intermediate stenosis on CCTA and stable or acute chest pain. This manuscript critically examines the existing clinical evidence, evaluates the diagnostic performance, and outlines future perspectives for integrating noninvasive assessments of coronary anatomy and physiology. Furthermore, it serves as a practical guide for medical imaging professionals by addressing common pitfalls and challenges associated with CT-FFR while proposing potential solutions to facilitate its successful implementation in clinical practice.

Department

School of Medicine and Health Sciences Resident Works

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