Computed tomography angiographic biomarkers help identify vulnerable carotid artery plaque
Abstract
The current risk assessment for patients with carotid atherosclerosis relies primarily on measuring the degree of stenosis. More reliable risk stratification could improve patient selection for targeted treatment. We have developed and validated a model to predict for major adverse neurologic events (MANE; stroke, transient ischemic attack, amaurosis fugax) that incorporates a combination of plaque morphology, patient demographics, and patient...
Paper Details
Title
Computed tomography angiographic biomarkers help identify vulnerable carotid artery plaque
Published Date
Apr 1, 2022
Journal
Volume
75
Issue
4
Pages
1311 - 1322.e3
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