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Cardio-metabolic profile is a determinant of carotid artery disease quantified by Magnetic Resonance Imaging


Magnetic Resonance Imaging (MRI) can be used to measure common carotid artery wall volume (CCA-CWV) and maximum wall thickness (CCA-CWT) that incorporates adventitial thickness in addition to intima-media thickness (CCA-IMT). Although, the predictors of CCA-IMT are well known, those of CCA-CWV and CCA-CWT have not been studied.


We hypothesized that patients with higher CCA-CWV and CCA-CWT have lower high-density lipoprotein (HDL) levels and greater incidence of metabolic syndrome.


One hundred and three subjects with IMT >0.65 mm underwent MRI of their carotid arteries using T2-weighted black-blood sequence transaxial slices to measure CCA-CWV and CCA-CWT. Blood pressure (BP), body mass index (BMI), fasting lipid profile and glucose were measured. Metabolic syndrome (MetS) was defined in patients as having ≥ 3 risk factors, BMI ≥ 30, TG ≥ 150 mg/dl, HDL ≤ 40 mg/dl in men and ≤50 mg/dl in women, BP ≥ 130/85 and fasting glucose ≥ 110 mg/dl.


CCA-CWV correlated negatively with serum HDL levels (r = -0.373, p < 0.0001), positively with BMI (r = 0.54, p < 0.0001) and diastolic BP (r = 0.28, p = 0.009) independent of age, sex, the presence of diabetes, hypertension, hyperlipidemia and smoking. CCA-CWT correlated negatively with serum HDL levels (and r = -0.255, p = 0.01) and positively with presence of MetS (r = 0.23, p = 0.02) independent of age, gender and history of smoking.


Cardio-metabolic profile is a predictor of carotid artery disease as quantified by magnetic resonance imaging.

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Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution 2.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Dhawan, S.S., Ghafoor, A., Syed, H.S. et al. Cardio-metabolic profile is a determinant of carotid artery disease quantified by Magnetic Resonance Imaging. J Cardiovasc Magn Reson 11 (Suppl 1), P166 (2009).

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