Carotid plaque classification: defining the certainty with which plaque components can be differentiated

Area of Science:

• Biomedical Imaging
• Cardiovascular Research
• Medical Diagnostics

Background:

• Multicontrast-weighted magnetic resonance imaging (MRI) shows promise for evaluating atherosclerotic plaque.
• Differentiation of plaque components is limited by similar magnetic resonance properties.
• Optimization of MRI parameters and component selection is crucial for accurate plaque assessment.

Purpose of the Study:

• To analyze endarterectomy specimens using multicontrast MRI.
• To compare MRI findings with histological data to determine error probabilities.
• To assess the impact of component grouping and contrast weightings on diagnostic accuracy.

Main Methods:

• Multicontrast MRI was performed on endarterectomy specimens.
• Histological analysis was used for comparison and validation.
• Error probabilities were calculated based on spectral characteristics of plaque components.

Main Results:

• Total error exceeded 40% when differentiating five distinct plaque components.
• Grouping components with similar functions and intensities reduced the error by half.
• Diffusion-weighted imaging (DWI) effectively separated hemorrhage from necrotic core and combined groups.

Conclusions:

• Grouping similar atherosclerotic plaque components improves MRI diagnostic accuracy.
• Strategic selection of contrast weightings, including DWI, is vital for differentiating key plaque components.
• The interplay between contrast weightings and component selection influences the utility of MRI in plaque analysis.