Adjustment of CT-fractional flow reserve based on fluid-structure interaction underestimation to minimize 1-year

Etsuro Kato1, Shinichiro Fujimoto2, Kanako K Kumamaru3

  • 1Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421, Japan.

Heart and Vessels
|August 9, 2019
PubMed

Insights

Determining the optimal cut-off for CT-Fractional Flow Reserve (CT-FFR) is crucial for minimizing cardiac events. Adjusting CT-FFR, especially with lower disease prevalence, improves event reduction strategies.

Area of Science:

  • Cardiovascular Imaging
  • Interventional Cardiology
  • Computational Fluid Dynamics

Background:

  • Coronary CT angiography (CCTA) is widely used for coronary artery disease assessment.
  • Functional significance of coronary stenosis is best assessed by invasive fractional flow reserve (i-FFR).
  • CT-derived Fractional Flow Reserve (CT-FFR) offers a non-invasive alternative but requires validation.

Purpose of the Study:

  • To determine the optimal cut-off value of CT-FFR for minimizing 1-year cardiac events.
  • To evaluate methods for adjusting CT-FFR underestimation.
  • To assess CT-FFR accuracy against invasive FFR in detecting functionally significant stenosis.

Main Methods:

  • 320-row CCTA and i-FFR were performed in 38 patients (44 vessels) with 30-90% stenosis.
  • CT-FFR was calculated using fluid-structure interaction analysis from CCTA data.
  • Hypothetical 1-year cardiac event incidence was estimated based on CT-FFR thresholds and disease prevalence.
  • CT-FFR underestimation was addressed using a specific adjustment formula.

Main Results:

  • CT-FFR ≤ 0.8 showed high diagnostic accuracy (81.6%) for detecting functional stenosis (i-FFR ≤ 0.80).
  • Optimal CT-FFR cut-off for minimizing cardiac events was 0.80 for disease prevalence >30%, but 0.54 for lower prevalences.
  • Adjusting CT-FFR values < 0.7 using the formula 0.3X + 0.634 reduced predicted cardiac events by 7.7% to 19.0% across different disease prevalences.

Conclusions:

  • A CT-FFR cut-off of 0.80 is reasonable for minimizing 1-year cardiac events when disease prevalence exceeds 30%.
  • CT-FFR underestimation requires adjustment, particularly in cases of low disease prevalence, to effectively reduce cardiac events.
  • CT-FFR, when appropriately interpreted and adjusted, can serve as a valuable non-invasive tool for guiding revascularization decisions.

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