scholarly journals Computed Tomographic Analysis of Aortic Arch Branching Patterns: Revisited

2022 ◽  
Vol 4 (1) ◽  
Author(s):  
Iroshani Kodikara ◽  
Dhanusha Gamage ◽  
Sampath De Soyza ◽  
Isurani Ilayperuma
2021 ◽  
Author(s):  
Iroshani Kodikara ◽  
Dhanusha Gamage ◽  
Sampath De Soyza ◽  
Isurani Ilayperuma

Abstract Background /ObjectivesBranching pattern of aortic arch (AA) has a direct impact on the outcome of thoracic surgical and angiographic procedures. Geographical variations in the branching pattern of AA has been described. Hence, this descriptive cross sectional study describes the AA variations in a Sri Lankan population compared to the available global statistics.MethodsContrast-enhanced computed tomographic studies (CTC) of thorax (n=219) performed in males (49.3%) and females (50.7%); aged 59±17 years (range: 4 to 96 years), were evaluated. Branching patterns of AA were categorized into seven types as described by Popieluszko et al.ResultsFour AA types were identified in the study population: Type 1 (90%; n=197), Type 2 (n=10, 4.6%), Type 3 (n=8, 3.7%) and Type 6 AA (n=4; 1.8%). The prevalence of AA variations was 10%. Type 1 was the most prevalent pattern in both genders: female-91%; males-88.9%. The most prevalent AA variant in females was Type 2 (n=6; 5.4%); males Type 3 (n=5; 4.6%). However, the branching pattern of AA has not demonstrated a significant gender influence (Odds: 0.792; 95% CI: 0.327 - 1.917; p=0.605). ConclusionVariations in branching pattern of AA is as high as 10% among Sri Lankans. Thus, an in-depth knowledge on population specific prevalence of AA variants would influence the modifications surgical approaches and the choice of angiographic catheters to be utilized, which in turn, would minimize inadvertent vascular injuries during thoracic surgical and angiographic interventions.


Author(s):  
Dawlat Nader Eltatawy ◽  
Fatma Anas Elsharawy ◽  
Aly Aly Elbarbary ◽  
Raghda Ghonimy Elsheikh ◽  
Manal Ezzat Badawy

Abstract Background A wide variety of congenital thoracic aortic variants and pathological anomalies could be assessed recently in diagnostic and interventional radiology. Multi-detector computed tomography (MDCT) is one of the most important non-invasive diagnostic tools for their detection. The aim of the study was to evaluate role of MDCT scanning for diagnosis of thoracic aortic anatomic variants and diseases in pediatric patients. Results Thirty patients (15 male and 15 female), mean age (8.49 ± 20.29 months) were diagnosed with different thoracic aortic anomalies by MDCT then confirmed by surgical results. MDCT was more sensitive than echocardiography in detection of hypo plastic arch, vascular rings, interrupted aortic arch anomalies, and aortic coarctation. Both MDCT and echocardiography showed 100% sensitivity in their detection of TGA, TOF, and PDA. MDCT detected 6 cases of right-sided aortic arch while echo missed 2 cases. Different aortic arch branching patterns and coronary origin were better demonstrated by MDCT. Conclusion 320-Multi-detector computed tomography is a reliable tool for optimal detection of thoracic aortic anomalies and preoperative planning.


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