title: Course anomalies of extracranial internal carotid artery and their relationship with pharyngeal wall: an evaluation with multislice CT.
abstract: OBJECTIVE
  The goal of our study was to measure the prevalence of anomalies in the extracranial segment of internal carotid artery (ICA), to measure the carotid-pharyngeal distance (CPD).
  
  
  METHODS
  Computed tomography (CT) angiography images of 607 patients were retrospectively examined. The course anomaly and CPD were obtained at different image plane. The patients were divided into four groups according to their age.
  
  
  RESULTS
  The incidence of course anomaly in ICA was shown to be 60.3 %. Prevalence of course anomaly showed an increase with age (p < 0.001). Women had more ICAs with a course anomaly than men (p < 0.001). Mean CPD among all ICAs was found to be 11.13 mm. When CPD values were compared between the groups, group 1 and group 2 did not have a significant difference, however, there was a significant difference between other groups (p < 0.05). The CPD significantly decreased with age (p < 0.001). In ICAs that showed a straight course, the mean CPD was 13.0 mm, while in ICAs that showed course anomaly, the mean CPD was determined to be 9.49, showing a significant difference (p < 0.05).
  
  
  CONCLUSIONS
  In conclusion, the number of ICAs that show a course anomaly increases with age, while the CPD decreases. The CPD is decreased in groups that show anomalies. The detection of a decreased CPD before surgery may lower the chance of a perioperative hemorrhage due to artery damage during pharyngeal procedures. Hence, while reporting neck CT angiographies, it may be valuable to also report the presence of ICA anomalies and CPD.
authors.affiliation: Radiology Department, Dicle University, School of Medicine, 21280, Diyarbakir, Turkey. faysalekici@gmail.com
authors.forename: Faysal
authors.initials: F
authors.lastname: Ekici
authors.forename: Guven
authors.initials: G
authors.lastname: Tekbas
authors.forename: Hakan
authors.initials: H
authors.lastname: Onder
authors.forename: Hatice
authors.initials: H
authors.lastname: Gumus
authors.forename: Mehmet Guli
authors.initials: MG
authors.lastname: Cetincakmak
authors.forename: Yilmaz
authors.initials: Y
authors.lastname: Palanci
authors.forename: Salih
authors.initials: S
authors.lastname: Bakir
authors.forename: Aslan
authors.initials: A
authors.lastname: Bilici
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002343:Carotid Artery, Internal / Q000002:abnormalities* / Q000000981:diagnostic imaging*; D002648:Child; D002675:Child, Preschool; D003287:Contrast Media; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography; D010614:Pharynx / Q000000981:diagnostic imaging*; D015995:Prevalence; D012189:Retrospective Studies; D012737:Sex Factors
chemical_list: D003287:Contrast Media