Christos Tsiouris1, Nikolaos Lazaridis2, Maria Piagkou1, Fabrice Duparc3, Ioannis Antonopoulos1, Polychronis Antonitsis4, Konstantinos Natsis5. 1. Department of Anatomy, Faculty of Health Sciences, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece. 2. 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. 3. Laboratory of Anatomy, Faculty of Medicine-Pharmacy, Rouen-Normandy University, Rouen, France. 4. Cardiothoracic Department, AHEPA University General Hospital, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece. 5. Department of Anatomy and Surgical Anatomy, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, P.O. Box 300, 54124, Thessaloníki, Greece.
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.
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.
Authors: Brandon Michael Henry; Krzysztof A Tomaszewski; Piravin Kumar Ramakrishnan; Joyeeta Roy; Jens Vikse; Marios Loukas; R Shane Tubbs; Jerzy A Walocha Journal: Clin Anat Date: 2016-11-18 Impact factor: 2.414
Authors: Zekiye Ruken Yuksekkaya Celikyay; Ali Ekrem Koner; Fatih Celikyay; Caglar Denız; Berat Acu; Mehmet Murat Firat Journal: Clin Imaging Date: 2013-08-09 Impact factor: 1.605