Why the study?
Do supervised classifiers improve the quantification of carotid atherosclerotic plaque components on MRI compared to human readers in symptomatic subjects?
Population
Symptomatic subjects with carotid atherosclerotic plaque undergoing endarterectomy
Comparison
Supervised classifiers applied to multisequence… vs Two human MRI readers
Design
Cross-sectional
Authors
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Bayesian classifiers may aid carotid plaque MRI quantification; hypothesis-generating and requires prospective validation before clinical use.
Do supervised classifiers improve the quantification of carotid atherosclerotic plaque components on MRI compared to human readers in symptomatic subjects?
Supervised algorithmic classifiers, particularly a Bayesian classifier, outperform human readers in quantifying lipid and hemorrhage components of carotid plaques on multisequence MRI.
Hofman et al. (2006) studied this question.
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