The Complementary Value of Absolute Coronary Flow in the Assessment of Patients with Ischaemic Heart Disease (the

Louise Aubiniere-Robb1, Rebecca Gosling1,2,3, Daniel J Taylor1

  • 1Mathematical Modelling in Medicine Group, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.

Insights

Fractional flow reserve (FFR) accurately predicts absolute coronary blood flow (aCBF) in most coronary artery disease cases. However, aCBF assessment may offer valuable insights in borderline FFR results.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Physiology

Background:

  • Fractional flow reserve (FFR) is the gold standard for assessing coronary artery disease (CAD).
  • FFR quantifies coronary blood flow (CBF) relative to a theoretical normal, but its accuracy in predicting absolute CBF changes is not well understood.
  • Current diagnostic methods for CAD rely heavily on FFR, necessitating validation of its predictive capabilities.

Purpose of the Study:

  • To compare fractional CBF measurements with absolute CBF (aCBF) derived from computational analysis.
  • To evaluate the accuracy of FFR in predicting actual CBF changes across various arterial conditions.
  • To determine the clinical utility of aCBF assessment in complementing FFR, especially in ambiguous cases.

Main Methods:

  • A computational method was used to measure aCBF (in mL/min) during standard angiography and pressure-wire assessment.
  • Data were collected from 203 diseased arteries across 143 patients.
  • Correlation and concordance analyses were performed between FFR-derived fractional CBF and measured aCBF.

Main Results:

  • A strong correlation (r=0.89) and substantial agreement (Cohen's Kappa=0.71) were observed between fractional CBF and aCBF.
  • High concordance was found when FFR >0.80 (91%), decreasing in lower FFR ranges (e.g., 62% for FFR 0.75-0.80).
  • Discordance was linked to factors like coronary microvascular resistance and vessel characteristics, which FFR does not account for.

Conclusions:

  • Absolute CBF assessment using computational methods complements FFR in evaluating coronary blood flow.
  • aCBF measurement may be particularly valuable for cases falling within the FFR 'grey-zone' (typically 0.75-0.80).
  • Integrating aCBF assessment could refine the diagnosis and management of coronary artery disease.

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