title: Carotid artery anatomy and geometry as risk factors for carotid atherosclerotic disease.
abstract: OBJECTIVE
  Traditional vascular risk factors do not completely explain the asymmetry, racial, and sex differences in carotid artery disease. Carotid anatomy and geometry may play a role in the pathogenesis of internal carotid artery (ICA) stenosis, but their effects are unknown. We hypothesized that carotid artery anatomy and geometry would be independently associated with ICA stenosis.
  
  
  METHODS
  This is a retrospective study of patients with CT angiography at Monash Medical Centre, 2006 to 2007. Carotid arteries were segmented using semiautomated methods to estimate measures of carotid anatomy and geometry. Measurements of carotid artery geometry were performed according to the recent article by Thomas and colleagues. ICA stenosis was dichotomized as <30% or ≥ 30% stenosis. Cluster logistic regression was used to examine the associations of anatomy and geometry with stenosis accounting for the paired arteries within subjects, adjusting for age, sex, and vascular risk factors.
  
  
  RESULTS
  Mean age of the sample (n=178) was 68.4 years (SD, 14 years). The following were independently associated with ICA stenosis: ICA radius at the bifurcation (OR, 0.20; 95% CI, 0.14-0.29), ICA angle (OR, 1.05 per degree increment; 95% CI, 1.04-1.07), age (OR, 1.05 per year increment; 95% CI, 1.03-1.07), male sex (OR, 1.72; 95% CI, 1.08-2.8), and ever-smoker (OR, 1.85; 95% CI, 1.15-2.96).
  
  
  CONCLUSIONS
  Carotid anatomy and geometry may enhance the risk of stenosis independent of traditional vascular risk factors and may be of help in very early identification of patients at high risk of developing carotid artery atherosclerosis for aggressive intervention.
authors.affiliation: Stroke and Aging Research Group, Department of Medicine, Monash University, Monash, Australia. Thanh.Phan@monash.edu
authors.forename: Thanh G
authors.initials: TG
authors.lastname: Phan
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Beare
authors.forename: Damien
authors.initials: D
authors.lastname: Jolley
authors.forename: Gita
authors.initials: G
authors.lastname: Das
authors.forename: Mandy
authors.initials: M
authors.lastname: Ren
authors.forename: Kitty
authors.initials: K
authors.lastname: Wong
authors.forename: Winston
authors.initials: W
authors.lastname: Chong
authors.forename: Matthew D
authors.initials: MD
authors.lastname: Sinnott
authors.forename: James E
authors.initials: JE
authors.lastname: Hilton
authors.forename: Velandai
authors.initials: V
authors.lastname: Srikanth
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D050197:Atherosclerosis / Q000473:pathology* / Q000503:physiopathology; D002339:Carotid Arteries / Q000473:pathology* / Q000503:physiopathology; D002340:Carotid Artery Diseases / Q000473:pathology* / Q000503:physiopathology; D002533:Cerebral Angiography; D003251:Constriction, Pathologic / Q000473:pathology / Q000503:physiopathology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012307:Risk Factors; D014057:Tomography, X-Ray Computed