Evidence map›Paper›PMID 37123663›Full record

ArticleCureus2023

Anatomical Variations in Aortic Arch Branching Pattern: A Computed Tomography Angiography Study.

Rabia Tasdemir, Ömer Faruk Cihan, Rümaysa Ince, Fatma Sevmez

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Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rabia TasdemirDepartment of Anatomy, School of Medicine, Gaziantep Islam Science and Technology University, Gaziantep, TUR.
Ömer Faruk CihanDepartment of Anatomy, School of Medicine, Gaziantep University, Gaziantep, TUR.
Rümaysa InceDepartment of Anatomy, School of Medicine, Gaziantep University, Gaziantep, TUR.
Fatma SevmezDepartment of Anatomy, School of Medicine, Gaziantep University, Gaziantep, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVariations in the branching pattern of the aortic arch (AA) are common. Modification of intravascular stents should be considered taking into account these AA branching variations. Identification of supra-aortic branching types and frequencies is important for specialists planning surgery in this region. In endovascular interventions to the AA, aortic stent grafts should be modified according to the variations of the branching patterns of the AA. In any surgical intervention to the region where the supra-aortic branches are located, ignorance of the variations may cause unwanted injuries or complications.

methodsIn this study, 699 computed tomography angiography (CTA) images were reviewed to investigate AA branching variations using the Horos software (an open-source image viewer). Four groups were constructed based on the number of branches emerging from the aortic arch, which were further divided into subtypes.

resultsA total of 699 CTA images from 320 males and 379 females were included in this study. The usual AA branching pattern (type 3b1) was found in 68.5% of the patients. The combined prevalence of other eight branching patterns, designated as variations, was 31.5%. Variation types 1b1, 3b2, and 4b5 were identified in one patient each. Overall, types 2b1 and 2b2 had a prevalence of 28.3%. The type 2b3 variation was observed in 1.6% of the patients. The least common variations were type 4b1 (0.7%) and type 3b2 (0.1%).

conclusionThe identification of variations in AA branching patterns by CTA prior to surgical or endovascular interventions involving the aortic arch is important. Thus, specialists planning interventions in this region need to be aware and have knowledge of atypical aortic branching patterns. Higher prevalence rates of AA branching patterns compared to previous studies were identified in the Turkish population in this study and therefore, a comprehensive, multicenter study is needed to determine the cause of this differential finding.

Indexed as

aortic archbranching patterncomputed tomography angiographymorphologyvariation

Identifiers

PMID37123663
PMCPMC10131257

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