The left-sided aortic arch variants: prevalence meta-analysis of imaging studies.
Anatomy
Aortic arch
Branching pattern
Meta-analysis
Multidetector computed tomography
Variation
Journal
Surgical and radiologic anatomy : SRA
ISSN: 1279-8517
Titre abrégé: Surg Radiol Anat
Pays: Germany
ID NLM: 8608029
Informations de publication
Date de publication:
May 2022
May 2022
Historique:
received:
02
02
2022
accepted:
07
04
2022
pubmed:
30
4
2022
medline:
9
6
2022
entrez:
29
4
2022
Statut:
ppublish
Résumé
To estimate the prevalence of the left-sided aortic arch (LSAA) variants, and the effect of possible moderators on variants' detection. 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. 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. 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.
Identifiants
pubmed: 35486163
doi: 10.1007/s00276-022-02945-4
pii: 10.1007/s00276-022-02945-4
doi:
Types de publication
Journal Article
Meta-Analysis
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
673-688Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature.
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