In vivo validation of a one-dimensional finite-element method for predicting blood flow in cardiovascular bypass grafts.
Current practice in vascular surgery utilizes only diagnostic and empirical data to plan treatments and does not enable quantitative a priori prediction of the outcomes of interventions. We have previously described a new approach to vascular surgery planning based on solving the governing equations of blood flow in patient-specific models. A one-dimensional finite-element method was used to simulate blood flow in eight porcine thoraco-thoraco aortic bypass models. The predicted flow rate was compared to in vivo data obtained using cine phase-contrast magnet resonance imaging. The mean absolute difference between computed and measured flow distribution in the stenosed aorta was found to be 4.2% with the maximum difference of 10.6% anda minimum difference of 0.4%. Furthermore, the sensitivity of the flow rate and distribution with respect to stenosis and branch losses were quantified.
Steele
Brooke N
BN
Department of Mechanical Engineering, Stanford University, 1201 Welch Road, Room P224, Stanford, CA 94305-5464, USA. bnsteele@stanford.edu
Wan
Jing
J
Ku
Joy P
JP
Hughes
Thomas J R
TJ
Taylor
Charles A
CA
D000714:Anastomosis, Surgical; D000818:Animals; D001013:Aorta, Thoracic / Q000503:physiopathology* / Q000601:surgery; D001783:Blood Flow Velocity; D003198:Computer Simulation; D003251:Constriction, Pathologic / Q000503:physiopathology; D001026:Coronary Artery Bypass; D020342:Finite Element Analysis; D006083:Graft Occlusion, Vascular / Q000503:physiopathology*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008955:Models, Cardiovascular; D011300:Preoperative Care / Q000379:methods; D025321:Surgery, Computer-Assisted / Q000379:methods; D013552:Swine; D013895:Thoracic Arteries / Q000503:physiopathology* / Q000601:surgery; D019737:Transplants