CT derived fractional flow reserve: Part 2 - Critical appraisal of the literature
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.
APA Citation
Rodriguez-Lozano, Patricia F.; Waheed, Anam; Evangelou, Sotirios; Kolossváry, Márton; Shaikh, Kashif; Siddiqui, Saira; Stipp, Lauren; Lakshmanan, Suvasini; Wu, En-Haw; Nurmohamed, Nick S.; Orbach, Ady; Baliyan, Vinit; de Matos, Joao Francisco; Trivedi, Siddharth J.; Madan, Nidhi; Villines, Todd C.; and Ihdayhid, Abdul Rahman, "CT derived fractional flow reserve: Part 2 - Critical appraisal of the literature" (2025). GW Authored Works. Paper 7421.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/7421
Department
School of Medicine and Health Sciences Resident Works