Fractional Flow Reserve Derived from a Single Angiographic View: Fact or Fiction?

Accurate assessment of the functional significance of coronary artery stenoses is essential for guiding revascularization decisions and improving clinical outcomes in patients with coronary artery disease (CAD). While invasive wire-based fractional flow reserve (FFR) remains the gold standard for physiological lesion assessment, its adoption in routine clinical practice is limited by procedural complexity, patient discomfort, time consumption, and cost. These limitations have driven the development of angiography-derived FFR techniques that enable physiological evaluation without pressure wires or pharmacologic hyperaemia. Recent advances in computational modelling, artificial intelligence, and image processing have facilitated the estimation of FFR from conventional coronary angiography, including approaches that require only a single angiographic view. Single-view angiography-derived FFR methods-such as Murray law-based quantitative flow ratio (µQFR), FFR2D, Angio-iFR/FFR, sAccuFFR, and X1-FFR-aim to simplify workflow while maintaining diagnostic accuracy. Among these, µQFR has demonstrated the most consistent validation against invasive FFR across a broad range of clinical scenarios, including complex lesions, severe aortic stenosis, multivessel disease, and acute coronary syndromes. This review summarizes the principles, validation data, clinical applications, and limitations of single-view angiography-derived FFR technologies and highlights their potential to expand the adoption of physiology-guided coronary intervention.