Patient-specific computational simulation of coronary artery bypass grafting
Wei Wu1,2, Anastasios Nikolaos Panagopoulos1, Charu Hasini Vasa1,2
1Cardiovascular Biology and Biomechanics Laboratory, Cardiovascular Division, University of Nebraska Medical Center, Omaha, New England, United States of America.
Insights
This study introduces a computational platform for assessing coronary artery bypass graft (CABG) surgery outcomes non-invasively. The novel method accurately predicts hemodynamic changes, aiding in the evaluation of bypass grafting effectiveness.
Area of Science:
- Cardiovascular Medicine
- Biomedical Engineering
- Computational Fluid Dynamics
Background:
- Coronary artery bypass graft (CABG) surgery is a key intervention for extensive obstructive coronary artery disease.
- Accurate hemodynamic assessment is crucial for evaluating CABG effectiveness.
Purpose of the Study:
- To present and test a novel non-invasive computational platform for assessing coronary hemodynamics before and after CABG.
- To evaluate the platform's ability to predict hemodynamic changes and graft function.
Main Methods:
- Developed a patient-specific computational platform using 3D models from coronary computed tomography angiography.
- Performed multiscale computational fluid dynamics simulations under resting and hyperemic conditions.
- Validated computationally calculated fractional flow reserve against angiography-based measurements.
Main Results:
- The computational platform showed high agreement with angiography-based fractional flow reserve.
- Simulations demonstrated that increasing native artery stenosis severity augmented graft flow.
- The platform accurately reproduced hemodynamic improvements in the distal native artery post-CABG.
Conclusions:
- A comprehensive patient-specific computational platform for simulating pre- and post-CABG hemodynamics has been developed.
- The platform accurately reproduces the hemodynamic effects of bypass grafting.
- Further clinical studies are needed to validate these preliminary findings.
Introduction:
Coronary artery bypass graft surgery (CABG) is an intervention in patients with extensive obstructive coronary artery disease diagnosed with invasive coronary angiography. Here we present and test a novel application of non-invasive computational assessment of coronary hemodynamics before and after bypass grafting.
Methods And Results:
We tested the computational CABG platform in n = 2 post-CABG patients. The computationally calculated fractional flow reserve showed high agreement with the angiography-based fractional flow reserve. Furthermore, we performed multiscale computational fluid dynamics simulations of pre- and post-CABG under simulated resting and hyperemic conditions in n = 2 patient-specific anatomies 3D reconstructed from coronary computed tomography angiography. We computationally created different degrees of stenosis in the left anterior descending artery, and we showed that increasing severity of native artery stenosis resulted in augmented flow through the graft and improvement of resting and hyperemic flow in the distal part of the grafted native artery.
Conclusions:
We presented a comprehensive patient-specific computational platform that can simulate the hemodynamic conditions before and after CABG and faithfully reproduce the hemodynamic effects of bypass grafting on the native coronary artery flow. Further clinical studies are warranted to validate this preliminary data.
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