Differential predictability for high-risk plaque characteristics between fractional flow reserve and instantaneous

Joo Myung Lee1, Doosup Shin2, Seung Hun Lee3

  • 1Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, Republic of Korea. drone80@hanmail.net.

Scientific Reports
|September 25, 2023
PubMed

Insights

Fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) both correlate with high-risk plaque characteristics (HRPC) identified by coronary computed tomography angiography. FFR shows a stronger association, particularly with qualitative HRPC, and better predicts multiple HRPC.

Area of Science:

  • Cardiovascular Imaging and Physiology
  • Interventional Cardiology

Background:

  • Coronary computed tomography angiography (CCTA) identifies high-risk plaque characteristics (HRPC).
  • Physiologic assessment using instantaneous wave-free ratio (iFR) and fractional flow reserve (FFR) evaluates lesion severity.

Purpose of the Study:

  • To compare the differential associations of HRPC with resting (iFR) and hyperemic (FFR) physiologic indexes.
  • To assess the predictive ability of FFR and iFR for the presence of HRPC.

Main Methods:

  • 214 vessels from 127 patients with stable angina or acute coronary syndrome were analyzed.
  • HRPC were classified quantitatively (minimal luminal area < 4 mm², plaque burden ≥ 70%) and qualitatively (low attenuation plaque, positive remodeling, napkin ring sign, spotty calcification).
  • Correlations between CCTA-derived HRPC and invasive FFR/iFR values were evaluated.

Main Results:

  • Vessels with FFR ≤ 0.80 or iFR ≤ 0.89 had significantly more HRPC.
  • FFR was independently associated with both quantitative and qualitative HRPC, while iFR was only associated with quantitative HRPC.
  • FFR demonstrated superior discrimination ability for ≥ 3 HRPC compared to iFR (AUC 0.703 vs. 0.648) and for quantitative HRPC (AUC 0.832 vs. 0.744).

Conclusions:

  • Both FFR and iFR are significantly associated with CCTA-derived HRPC.
  • FFR shows a stronger independent association with qualitative HRPC and higher predictive ability for the presence of multiple HRPC compared to iFR.