Why the study?
It is unknown whether carotid atherosclerotic plaques of different sizes are consistent in three-dimensional geometry due to a lack of quantitative observation.
Does 3D computed tomography angiography reconstruction reveal geometric consistency across multidimensional parameters of carotid atherosclerotic plaques and associations with lipid profiles in patients with asymptomatic mild to moderate carotid artery stenosis?
Does 3D computed tomography angiography reconstruction reveal geometric consistency across multidimensional parameters of carotid atherosclerotic plaques and associations with lipid profiles in patients with asymptomatic mild to moderate carotid artery stenosis?
Carotid atherosclerotic plaques of varying sizes exhibit strong non-linear geometric consistency in 3D parameters and correlate significantly with intra-plaque calcification and systemic lipid levels (triglycerides and total cholesterol).
Answers are grounded in this paper and cite their sources.
Geometric consistency of carotid plaques may relate to lipids in small observational cohorts; leaves open whether 3D parameters aid risk stratification.
The three-dimensional (3D) geometry of carotid atherosclerotic plaques is associated with multiple cardiovascular diseases. However, it is unknown if carotid plaques of different sizes are consistent in 3D geometry, with a lack of quantitative observation. We aim to evaluate the geometric consistency of carotid plaques using the correlations between multidimensional parameters. 42 cases with asymptomatic stenosis caused by atherosclerotic plaque in the carotid artery were included. Carotid plaques and calcifications were identified on computed tomography angiography images and 3D reconstructed. Multidimensional geometric parameters (length, surface area, volume, etc.) were measured on the reconstructed 3D structures. Linear and non-linear (power function) fittings were used to investigate the relationships between multidimensional parameters. The analysis was performed based on cases and plaques, respectively. Spearman rank correlation analysis, R-squared, and p-values were used to evaluate the significance of the relationship. Significant relationship was defined as R-squared >0.25 and p < 0.05. In total, 112 atherosclerotic plaques and 74 calcifications were extracted. In plaque-based analysis, significant correlations were widely observed between paired multidimensional parameters of carotid plaques, where non-linear fitting showed higher R-squared values. Plaque volume and surface area were significantly correlated with total volume and total surface area of intra-plaque calcifications. In subject-based analysis, triglycerides and total cholesterol were significantly correlated with carotid plaque size. There is a consistency in geometry among carotid atherosclerotic plaques of different sizes. The size of a carotid plaque is associated with the patient's lipid profile.
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Li et al. (2024) studied this question.
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