A morphometric 3D model of coronary artery bypass graft dysfunction with multidetector computed tomography
Related Experiment Video
Updated: Apr 5, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
Jan-Alexis Tremblay1, Louis-Mathieu Stevens2, Martin Chandonnet1
1Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM).
Insights
Computed tomography angiography can identify graft dysfunction after coronary artery bypass grafting (CABG). Specific CT morphometric models reveal quantitative 3D parameters linked to graft issues, aiding future CABG design improvements.
Area of Science:
- Cardiovascular Surgery
- Medical Imaging
Background:
- Coronary artery bypass grafting (CABG) is a critical treatment for coronary artery disease.
- Assessing graft function and identifying potential dysfunction early is crucial for patient outcomes.
Purpose of the Study:
- To evaluate quantitative morphological parameters of composite CABG using CT angiography.
- To correlate these CT-derived parameters with graft dysfunction.
Main Methods:
- Forty patients with CABG underwent CT angiography at a median of 32 months post-surgery.
- Graft patency was assessed, and quantitative morphological parameters were collected from graft segments.
Main Results:
- The overall patency rate for CABG segments was 93%.
- Two specific quantitative morphological parameters identified via CT angiography were significantly associated with graft dysfunction.
Conclusions:
- A CT morphometric model can effectively identify quantitative 3D parameters indicative of CABG graft dysfunction.
- This approach holds potential for the development and optimization of CABG strategies.
Objective:
The objective was to assess, with computed tomography (CT) angiography, quantitative morphological parameters of a composite coronary artery bypass grafting (CABG) strategy and to correlate these with graft dysfunction.
Findings:
Forty patients [median postoperative time, 32 (14-51) months] underwent CT angiography. Graft patency was assessed, and specific quantitative morphological parameters of the graft were collected. Graft segments had an overall patency rate of 93% (78/84). Two specific morphological parameters were found to be associated with graft dysfunction.
Conclusion:
A CT morphometric model can be used to identify quantitative 3D parameters associated with graft dysfunction. Such an approach could help in developing and improving CABG designs.
Related Concept Videos
Imaging Studies for Cardiovascular System V: CT
Imaging Studies III: Computed Tomography

