CFD simulation of hemodynamics in sequential and individual coronary bypass grafts based on multislice CT scan datasets

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:641-4. doi: 10.1109/EMBC.2012.6346013.

Abstract

There is still controversy over the differences in the patency rates of the sequential and individual coronary artery bypass grafting (CABG) techniques. The purpose of this paper was to non-invasively evaluate hemodynamic parameters using complete 3D computational fluid dynamics (CFD) simulations of the sequential and the individual methods based on the patient-specific data extracted from computed tomography (CT) angiography. For CFD analysis, the geometric model of coronary arteries was reconstructed using an ECG-gated 64-detector row CT. Modeling the sequential and individual bypass grafting, this study simulates the flow from the aorta to the occluded posterior descending artery (PDA) and the posterior left ventricle (PLV) vessel with six coronary branches based on the physiologically measured inlet flow as the boundary condition. The maximum calculated wall shear stress (WSS) in the sequential and the individual models were estimated to be 35.1 N/m(2) and 36.5 N/m(2), respectively. Compared to the individual bypass method, the sequential graft has shown a higher velocity at the proximal segment and lower spatial wall shear stress gradient (SWSSG) due to the flow splitting caused by the side-to-side anastomosis. Simulated results combined with its surgical benefits including the requirement of shorter vein length and fewer anastomoses advocate the sequential method as a more favorable CABG method.

Publication types

  • Comparative Study

MeSH terms

  • Blood Flow Velocity
  • Computer Simulation
  • Coronary Angiography / statistics & numerical data
  • Coronary Artery Bypass / methods*
  • Databases, Factual / statistics & numerical data
  • Hemodynamics*
  • Humans
  • Hydrodynamics
  • Imaging, Three-Dimensional
  • Male
  • Middle Aged
  • Models, Cardiovascular*
  • Multidetector Computed Tomography / statistics & numerical data
  • Radiographic Image Interpretation, Computer-Assisted