Spatial patterns of high-risk biomechanical metrics in plaques with abnormal vs. normal physiological flow indices

Diaa Hakim1, Mona Ahmed2, Ahmet U Coskun3

  • 1Cardiovascular Division, Brigham & Women's Hospital/Harvard Medical School, Boston, MA, USA.

PubMed

Insights

The Instantaneous Wave-free Ratio (iFR) does not reliably identify high-risk coronary plaques. High-risk endothelial shear stress metrics are present in plaques regardless of iFR values, suggesting iFR may miss many plaques prone to causing major adverse cardiac events (MACE).

Area of Science:

  • Cardiovascular research
  • Biomedical engineering
  • Medical imaging

Background:

  • Percutaneous coronary intervention (PCI) is indicated for plaques with low physiological flow reserve.
  • Recent trials show PCI does not reduce major adverse cardiac events (MACE) for ischemia-producing lesions.
  • Low endothelial shear stress (ESS) or high ESS gradient (ESSG) are linked to MACE.

Purpose of the Study:

  • To investigate the presence of high-risk ESS metrics in obstructive coronary plaques.
  • To compare ESS metrics in plaques with high-risk (<0.80), borderline-risk (0.80-0.89), and normal (>0.89) Instantaneous Wave-free Ratio (iFR).

Main Methods:

  • 50 coronary arteries with variable iFR values were analyzed using coronary angiography and optical coherence tomography (OCT).
  • 3D reconstruction and computational fluid dynamics were used to calculate ESS and ESSG.
  • The cohort was stratified into three iFR groups for comparison of high-risk ESS metrics and their spatial distribution.

Main Results:

  • High-risk ESS features (Minimal ESS, Maximum ESSG) showed similar distribution and absolute values across all three iFR subgroups.
  • Minimal ESS values were 0.5 ± 0.3 Pa, 0.4 ± 0.2 Pa, and 0.4 ± 0.2 Pa (p=0.60).
  • Maximum ESSG values were 13.7 ± 9.4 Pa/mm, 10.4 ± 10.6 Pa/mm, and 10.0 ± 7.8 Pa/mm (p=0.30).
  • ESS metrics extended up to ≥18 mm from the plaque minimal luminal area (MLA).

Conclusions:

  • High-risk ESS metrics are present in plaques with both normal and abnormal iFR values.
  • The spatial location of these metrics relative to the MLA is consistent across iFR groups.
  • Relying solely on iFR to identify plaques likely to cause MACE may lead to overlooking a significant number of high-risk plaques.
Abstract