Angiography-based estimation of coronary physiology: A frame is worth a thousand words

Trends Cardiovasc Med. 2022 Aug;32(6):366-374. doi: 10.1016/j.tcm.2021.07.004. Epub 2021 Jul 28.

Abstract

Cumulative evidence has shown that coronary revascularization should be guided by functional significance of coronary lesions. Fractional flow reserve (FFR) is the gold standard for assessment of hemodynamic significance of coronary stenosis and FFR-guided percutaneous coronary intervention has improved clinical outcomes in patients with coronary artery disease. However, limitations of FFR such as increased operational time and cost, requirement of pressure wire and adenosine and technical difficulties have led to significant underutilization of the method in clinical practice. In the last few years, several methods of FFR estimation based on coronary angiography images have emerged to overcome invasive FFR limitations. The common elements of the novel indices include a 3D anatomical reconstruction of coronary vessels by angiographic projections and various approaches to fluid dynamics computation. Angiography-derived FFR methods have shown high diagnostic accuracy compared to invasive FFR. Although there are promising results regarding their prognostic role, large randomized trials evaluating clinical outcomes are lacking. The aim of this review is to present currently available angiography-derived FFR indices and highlight their differences, advantages, disadvantages and potential clinical implications.

Keywords: Angiography-derived indices; Coronary physiology; Fractional flow reserve; Index of myocardial resistance; Quantitative flow ratio; coronary artery disease.

Publication types

  • Review

MeSH terms

  • Coronary Angiography / methods
  • Coronary Artery Disease* / diagnostic imaging
  • Coronary Artery Disease* / therapy
  • Coronary Stenosis* / diagnostic imaging
  • Coronary Stenosis* / therapy
  • Coronary Vessels / diagnostic imaging
  • Fractional Flow Reserve, Myocardial*
  • Humans
  • Predictive Value of Tests
  • Severity of Illness Index