Relationship between carotid artery atherosclerosis and bulb geometry
Sekou Gregg1, Terry Y Li1, Marie-France Hétu2
1Division of Cardiology, Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
The International Journal of Cardiovascular Imaging
|February 22, 2018
Summary
Carotid plaque development is linked to specific geometric features of the carotid bulb. The carotid bulb inflow area (BIA) is a significant predictor of plaque volume, even after accounting for age and sex.
Area of Science:
- Vascular biology and imaging
- Cardiovascular research
- Medical ultrasound applications
Background:
- Atherosclerotic plaque commonly forms at the carotid bifurcation, a site prone to geometric predispositions.
- Understanding the geometric factors influencing plaque development is crucial for predicting atherosclerosis progression.
Purpose of the Study:
- To investigate the geometric and anatomical variables contributing to carotid plaque development.
- To quantify plaque volume in relation to carotid bulb and bifurcation geometry using 3D ultrasound.
Main Methods:
- Sixty-seven outpatients undergoing coronary angiography had 3D carotid ultrasound scans.
- Geometric parameters of the carotid bulb and bifurcation were measured using QLAB software.
- Plaque volume was quantified using the stacked contour method, with statistical analysis including Pearson's correlation and linear regression.
Main Results:
- Carotid bulb inflow area (BIA), bulb volume (BV), and bifurcation angle (BifA) showed positive linear relationships with plaque volume.
- Internal carotid artery angle (ICAA) and bulb flare exhibited negative linear relationships with plaque volume.
- After adjusting for age and sex, only BIA remained a significant predictor (p=0.04) of plaque volume.
Conclusions:
- Geometric variables are identified as potential risk factors for plaque volume in the carotid bulb.
- Further research into BIA dynamics and its relation to other geometric factors may enhance atherosclerosis prediction models.
- These findings could aid in improving preoperative planning for carotid interventions.
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