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Title: Evaluation of intracoronary hemodynamics identifies perturbations in vorticity

Journal Article · · Frontiers in Systems Biology
 [1];  [2];  [3];  [4];  [4];  [5];  [1];  [6];  [7];  [8];  [1]
  1. Duke University, Durham, NC (United States)
  2. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
  3. University of Colorado, Aurora, CO (United States)
  4. Arizona State University, Tempe, AZ (United States)
  5. Santa Catarina State University, Balneário Camboriú (Brazil)
  6. University of San Diego, San Diego, CA (United States)
  7. Arizona State University, Tempe, AZ (United States); Georgia Institute of Technology, Atlanta, GA (United States)
  8. Harvard Medical School, Boston, MA (United States)

Coronary artery disease (CAD) is highly prevalent and associated with adverse events. Challenges have emerged in the treatment of intermediate coronary artery stenoses. These lesions are often interrogated with fractional flow reserve (FFR) testing to determine if a stenosis is likely to be causative for ischemia in a cardiac territory. This invasive test requires insertion of a pressure wire into a coronary vessel. Recently computational fluid dynamics (CFD) has been used to noninvasively assess fractional flow reserve in vessels reconstructed from medical imaging data. However, many of these simulations are unable to provide additional information about intravascular hemodynamics, including velocity, endothelial shear stress (ESS), and vorticity. We hypothesized that vorticity, which has demonstrated utility in the assessment of ventricular and aortic diseases, would also be an important hemodynamic factor in CAD. Three-dimensional (3D), patient-specific coronary artery geometries that included all vessels >1 mm in diameter were created from angiography data obtained from 10 patients who underwent diagnostic angiography and FFR testing (n = 9). A massively parallel CFD solver (HARVEY) was used to calculate coronary hemodynamic parameters including pressure, velocity, ESS, and vorticity. These simulations were validated by comparing velocity flow fields from simulation to both velocities derived from in vitro particle image velocimetry and to invasively acquired pressure wire-based data from clinical testing. There was strong agreement between findings from CFD simulations and particle image velocimetry experimental testing (p < 0.01). CFD-FFR was also highly correlated with invasively measured FFR (ρ = 0.77, p = 0.01) with an average error of 5.9 ± 0.1%. CFD-FFR also had a strong inverse correlation with the vorticity (ρ = -0.86, p = 0.001). Simulations to determine the effect of the coronary stenosis on intravascular hemodynamics demonstrated significant differences in velocity and vorticity (both p < 0.05). Further evaluation of an angiographically normal appearing non-FFR coronary vessel in patients with CAD also demonstrated differences in vorticity when compared with FFR vessels (p < 0.05). The use of highly accurate 3D CFD-derived intravascular hemodynamics provides additional information beyond pressure measurements that can be used to calculate FFR. Vorticity is one parameter that is modified by a coronary stenosis and appears to be abnormal in angiographically normal vessels in patients with CAD, highlighting a possible use-case in preventative screening for early coronary disease.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE; Coulter Foundation; American Heart Association (AHA); National Science Foundation (NSF); National Institutes of Health (NIH)
Grant/Contract Number:
AC05-00OR22725; 20PRE35211158; 19AIML34980000; NHLBI U01 HL125215; NSF 1943036; U01CA253511
OSTI ID:
1906619
Journal Information:
Frontiers in Systems Biology, Vol. 2, Issue 1; ISSN 2674-0702
Publisher:
Frontiers Media S.A.Copyright Statement
Country of Publication:
United States
Language:
English

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  • 2013 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), 2013 IEEE 27th International Symposium on Parallel and Distributed Processing https://doi.org/10.1109/IPDPS.2013.109
conference May 2013