Surgical and Radiologic Anatomy

, Volume 39, Issue 3, pp 235–242 | Cite as

Branching patterns of the aortic arch: a computed tomography angiography-based study

  • Ayman G. Mustafa
  • Mohammed Z. Allouh
  • Jamaledin H. Abu Ghaida
  • Ma’moon H. Al-Omari
  • Wafa’ A. Mahmoud
Original Article

Abstract

Purpose

This study aimed to investigate the anatomical variations in direct branches of the aortic arch in Jordanians using the contrast Computed Tomography (CT) imaging techniques and to determine their prevalence according to sex.

Methods

This analytical, retrospective study included 500 patients (209 females, 291 males), who were referred to the Radio-Diagnostic Department at King Abdullah University Hospital for CT angiography of the aortic arch from 2010 to 2014. Patients were selected using a random sampling method.

Results

Six patterns of arrangement of arteries according to their origin from the aortic arch were identified in Jordanians. The most common pattern was the normal classical one and accounted for 61.2 % of cases. All other patterns were considered variations and accounted for 38.8 % of cases. Variation patterns were classified into six different types. There was no significant correlation (p > 0.05) between sex and the occurrence of different types of variations.

Conclusion

This study provides new information regarding the prevalence of aortic arch branching variations in Jordanians. A wide range of anatomical variations in the branching pattern of the aortic arch was observed. This should be taken into consideration during angiography, aortic instrumentation, and supra-aortic thoracic, head, and neck surgery.

Keywords

Aortic arch Branching pattern Computed tomography Jordanians 

Notes

Compliance with ethical standards

Funding

This study was funded by a grant from the Deanship of Research at the Jordan University of Science and Technology.

Conflict of interest

The authors have no conflict of interest to declare.

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Copyright information

© Springer-Verlag France 2016

Authors and Affiliations

  • Ayman G. Mustafa
    • 1
  • Mohammed Z. Allouh
    • 1
  • Jamaledin H. Abu Ghaida
    • 1
  • Ma’moon H. Al-Omari
    • 2
  • Wafa’ A. Mahmoud
    • 1
  1. 1.Department of Anatomy, Faculty of MedicineJordan University of Science and TechnologyIrbidJordan
  2. 2.Department of Radiology, Faculty of MedicineJordan University of Science and TechnologyIrbidJordan

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