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The left-sided aortic arch variants: prevalence meta-analysis of imaging studies.
Tsiouris, Christos; Lazaridis, Nikolaos; Piagkou, Maria; Duparc, Fabrice; Antonopoulos, Ioannis; Antonitsis, Polychronis; Natsis, Konstantinos.
Affiliation
  • Tsiouris C; Department of Anatomy, Faculty of Health Sciences, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
  • Lazaridis N; Department of Anatomy and Surgical Anatomy, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, P.O. Box 300, 54124, Thessaloníki, Greece. lazaridisnikos@auth.gr.
  • Piagkou M; Department of Anatomy, Faculty of Health Sciences, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
  • Duparc F; Laboratory of Anatomy, Faculty of Medicine-Pharmacy, Rouen-Normandy University, Rouen, France.
  • Antonopoulos I; Department of Anatomy, Faculty of Health Sciences, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
  • Antonitsis P; Cardiothoracic Department, AHEPA University General Hospital, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Natsis K; Department of Anatomy and Surgical Anatomy, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, P.O. Box 300, 54124, Thessaloníki, Greece.
Surg Radiol Anat ; 44(5): 673-688, 2022 May.
Article in En | MEDLINE | ID: mdl-35486163
ABSTRACT

PURPOSE:

To estimate the prevalence of the left-sided aortic arch (LSAA) variants, and the effect of possible moderators on variants' detection.

METHODS:

A systematic online literature search was conducted. The pooled prevalence with 95% confidence intervals was estimated for the typical and atypical branching patterns to compare the overall proportions of different variants. Meta-regression analyses were performed to investigate the effect of the subjects' gender and geographical region, and the multidetector computed tomography (MDCT) scanner's technology on the estimated prevalence.

RESULTS:

In total, 18,075 cases from 23 imaging studies were included and 33 different LSAA variants were detected. The estimated heterogeneity was statistically significant. Based on the estimated prevalence, approximately 77% of the population is expected to have the typical branching anatomy with sequence brachiocephalic trunk-left common carotid artery-left subclavian artery, and 23% variant branching patterns. Approximately 71%, 23%, 2%, and 0.1% of the atypical populations are expected to have two, four, three, and five emerging branches, respectively. The meta-regression analyses showed that the number of detector rows of the MDCT scanner, and the subjects' geographical region are statistically significant moderators of the estimated prevalence.

CONCLUSION:

The current findings indicate that the prevalence of the LSAA variant branching anatomy is significantly affected by the subjects' geographical region and the MDCT scanner's technological improvement, with the advanced scanners to facilitate the detection of the aortic arch variants. However, due to the heterogeneity among studies, further research is required.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aorta, Thoracic / Subclavian Artery Type of study: Prevalence_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Surg Radiol Anat Journal subject: ANATOMIA / RADIOLOGIA Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aorta, Thoracic / Subclavian Artery Type of study: Prevalence_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Surg Radiol Anat Journal subject: ANATOMIA / RADIOLOGIA Year: 2022 Document type: Article Affiliation country: