Neuroimaging evaluation of unilateral asymptomatic carotid plaque ulceration: preliminary results of the Carotid Artery Multimodality imaging Prognostic study

Abstract

Abstract Background Carotid plaque ulceration has been associated with imaging characteristics of high risk of future events (plaque vulnerability) in patients with a significant degree of stenosis, while little is known about its role in patients with a lesser degree of stenosis and its association with markers of vascular inflammation. Purpose We evaluated the association between imaging characteristics of plaque vulnerability and vascular inflammation detected by different imaging tests. Methods One hundred and seven patients with unilateral asymptomatic carotid artery stenosis (40–60% detected by Doppler ultrasound (DUS)), enrolled in the ongoing Carotid Artery Multimodality Prognostic (CAMP) study were prospectively evaluated with computed tomography angiography (CTA), contrast-enhanced magnetic resonance imaging (CEMRA) and, in a subgroup of patients, with 18-F-fluorodeoxyglucose positron emission tomography (PET). Plaque ulceration was detected by CTA. Variables are expressed as median (1st–3rd quartiles) and number (percentages).The Student's t-test or Mann-Whitney and Chi square or Fisher's exact test were used to study associations among variables. Results An ulcerated plaque was present in 35% patients (n=33) of those undergoing CTA (n=94), while intraplaque hemorrhage and lipid-rich necrotic core were present in 9% and 15% of those undergoing CEMRA. Compared with patients with non-ulcerated plaques, those with an ulcerated plaque had a significant higher degree of stenosis at DUS, a higher target to background ratio (TBR) at 18F-FDG-PET and a higher high-sensitivity cardiac troponin (cTn) T. Conclusions Plaque ulceration is common and associated with higher degree of stenosis, higher indices of wall inflammation and higher serum markers of myocardial injury. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Regione Toscana