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The average absolute curvature best measures coronary artery tortuosity and its link to low wall shear stress (WSS). This finding helps clarify the relationship between vessel shape and cardiovascular health.

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Area of Science:

  • Cardiovascular research
  • Biomedical engineering
  • Medical imaging analysis

Background:

  • Coronary artery tortuosity is linked to low wall shear stress (WSS), a factor in cardiovascular disease.
  • Previous studies have yielded ambiguous findings due to varied tortuosity metrics used.
  • A standardized metric is needed to accurately assess the relationship between coronary artery shape and WSS.

Purpose of the Study:

  • To identify the most reliable tortuosity metric that correlates with low time-averaged WSS (TAWSS).
  • To establish a benchmark metric for future research on coronary artery tortuosity and hemodynamics.

Main Methods:

  • Utilized Computed Tomography Coronary Angiogram (CTCA) data from 127 patients without coronary artery disease.
  • Applied four tortuosity metrics: tortuosity index, average absolute curvature, RMS curvature, and average squared-derivative curvature.
  • Modeled TAWSS using computational fluid dynamics (CFD) and correlated metrics with areas of low TAWSS (<0.4 Pa).

Main Results:

  • Curvature-based tortuosity measures showed stronger correlations with low TAWSS than non-curvature-based measures.
  • Average absolute curvature demonstrated the highest coefficient of determination (p < 0.001) across all analyzed coronary branches.
  • The widely used tortuosity index showed no significant correlation with low TAWSS (p = 0.86).

Conclusions:

  • Average absolute curvature is recommended as the preferred metric for quantifying coronary artery tortuosity in relation to TAWSS.
  • This standardized approach can improve the understanding of hemodynamics in non-diseased coronary arteries.
  • Accurate tortuosity assessment may aid in identifying individuals at higher risk for cardiovascular disease.