Coronary flow disturbance assessed by vorticity as a cause of functionally significant stenosis

Nobuo Tomizawa1, Yui Nozaki2, Shinichiro Fujimoto2

  • 1Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. tomizawa-tky@umin.ac.jp.

European Radiology
|July 1, 2022
PubMed

Insights

Vorticity, a measure of flow disturbance, is significantly higher in functionally significant coronary stenosis. This finding indicates vorticity can help identify significant stenosis beyond geometric measurements.

Area of Science:

  • Cardiovascular medicine
  • Biomedical engineering
  • Fluid dynamics

Background:

  • Coronary stenosis can cause significant flow disturbances.
  • Computational fluid dynamics (CFD) offers a method to quantify these disturbances through vorticity.
  • Assessing the functional significance of stenosis is crucial for patient management.

Purpose of the Study:

  • To investigate if vorticity, calculated via CFD, can identify functionally significant coronary stenosis.
  • To determine the relationship between vorticity and invasive fractional flow reserve (FFR).

Main Methods:

  • Retrospective analysis of 113 patients with intermediate coronary stenosis.
  • Vorticity calculated using a mesh-free CFD method from coronary CT angiography.
  • Comparison of vorticity with invasive FFR, minimum lumen area (MLA), and diameter stenosis (DS).

Main Results:

  • Vorticity was significantly higher in vessels with functionally significant stenosis (FFR ≤ 0.80).
  • A significant negative correlation was found between vorticity and invasive FFR (R² = 0.31).
  • Vorticity independently predicted functional significance and improved stenosis detection when combined with MLA and DS.

Conclusions:

  • Vorticity is a valuable parameter for assessing flow disturbance in coronary stenosis.
  • Higher vorticity correlates with functionally significant stenosis, independent of geometric factors.
  • Vorticity provides additive value to traditional geometric measures for detecting significant coronary artery disease.
Abstract

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