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Quantitative coronary angiography in predicting functional significance of stenoses in an unselected patient cohort

J Bartúnek1, S U Sys, G R Heyndrickx

  • 1Cardiovascular Center, Aalst, Belgium.

Insights

Quantitative coronary angiography (QCA) correlates with coronary flow reserve but is imprecise for individual patients. However, QCA accurately predicts fractional flow reserve, aiding clinical decisions in coronary artery disease.

Area of Science:

  • Cardiovascular Imaging and Physiology
  • Interventional Cardiology
  • Diagnostic Accuracy Studies

Background:

  • Quantitative coronary angiography (QCA) has shown limitations in correlating with functional assessments of coronary stenoses in patients with extensive coronary artery disease.
  • Advancements in pressure-monitoring wire technology have enabled the validation of myocardial fractional flow reserve (FFR) derived from coronary pressure measurements.

Purpose of the Study:

  • To evaluate the predictive value of quantitative coronary angiography for coronary flow reserve, determined by transstenotic pressure gradients.
  • To assess the diagnostic accuracy of QCA in an unselected patient cohort undergoing coronary angioplasty.

Main Methods:

  • One hundred ten patients with normal left ventricular function were studied.
  • Quantitative coronary angiography (QCA) was performed using the ACA system.
  • Myocardial fractional flow reserve (FFR) was calculated from aortic and distal coronary pressures during maximal hyperemia.

Main Results:

  • A curvilinear relationship was observed between FFR and diameter stenosis (r=0.79) and minimal lumen diameter (r=0.82).
  • A linear relationship was found between FFR and angiographic stenosis flow reserve (r=0.78).
  • Despite significant correlations, a large dispersion in FFR values for similar stenosis degrees was noted. However, a minimal lumen diameter <1.5 mm showed 96% sensitivity and 89% specificity for predicting FFR <0.72. Diameter stenosis >50% demonstrated 93% sensitivity and 85% specificity.

Conclusions:

  • Geometric indices from QCA correlate significantly with physiological variables but lack precision for individual patient assessment.
  • Quantitative coronary angiography demonstrates high diagnostic accuracy in predicting low fractional flow reserve (<0.72), supporting its clinical utility for decision-making during procedures.
Abstract

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