Blood flow patterns in patients with mild/moderate coronary serial stenosis: A Pilot study

Haoyao Cao1, Yiming Li2, Yong Peng2

  • 1Department of Mechanics & Engineering, College of Architecture & Environment, Sichuan University, Chengdu 610065, China; Sichuan University Yibin Park / Yibin Institute of Industrial Technology, Yibin 644000, China.

PubMed

Insights

Patients with mild/moderate coronary artery disease exhibit chaotic blood flow patterns, indicated by higher reverse zone volume. This finding helps identify high-risk individuals with serial stenosis, improving patient outcomes.

Area of Science:

  • Cardiovascular Medicine
  • Biomedical Engineering
  • Fluid Dynamics

Background:

  • Coronary stenosis evaluation often overlooks flow disorders, particularly from serial plaques.
  • Discrepancies between initial assessments and patient outcomes in mild/moderate stenosis are common.
  • Understanding coronary blood flow patterns is crucial for risk stratification.

Purpose of the Study:

  • To characterize coronary blood flow patterns in patients with varying clinical outcomes.
  • To investigate the correlation between abnormal flow patterns and adverse events in coronary stenosis.
  • To identify novel indicators for high-risk patients with mild/moderate coronary serial stenosis.

Main Methods:

  • Established patient-specific coronary tree models from CT images.
  • Quantified abnormal flow patterns using reverse zone volume and coefficients of variation.
  • Analyzed Wall Shear Stress (WSS) topological skeleton to correlate flow with clinical outcomes.

Main Results:

  • The adverse event (AE) group showed significantly more chaotic blood flow patterns.
  • AE group exhibited higher cumulative reverse zone volume and coefficients of variation during the cardiac cycle.
  • WSS vector analysis revealed spatiotemporal variations within reverse zones, linking flow abnormalities to outcomes.

Conclusions:

  • Abnormal coronary blood flow patterns, especially chaotic flow and high reverse zone volume, are associated with adverse events.
  • These flow characteristics may indicate plaque development and hemodynamic stress.
  • Quantifying flow patterns offers a potential method for identifying high-risk patients with mild/moderate coronary serial stenosis.

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