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Evaluation of vena pulmonalis variations by three dimensional computed tomography

2021
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Advisor: Prof. Dr. Prof. Dr. Mehmet Cudi Tuncer

Abstract (EN)

Evaluation of Vena Pulmonalis Variations by Three Dimensional Computed Tomography ABSTRACT Aid: Our aim in this study; Anatomy of the left atrium is the measurement of the number of pulmonary veins, leukalization, ostium anomalies and diameters with angio computed tomography. Material and methods: Five hundred patients who had undergone angiocomputer tomography retrospectively was examined. Contrast-enhanced Computed Tomography imaging was performed. We used a series of images with the largest end-diastolic vein diameters in the evaluation. Ostial, AP and SI diameters of pulmonary veins were measured on CT examination. The ovality of the pulmonary veins was calculated using the ostium index. Ostium index (AP) measurements (SI) were calculated by dividing by measurements. Results: In the study, 252 female and 248 male patients were evaluated. Average age was 54.7. We detected 194 ostium anomalies in our series. We found the most common left single ostium anomaly. Twenty-five patients had bilateral anomalies. Eleven patients had isolated right and left single ostium anomalies while 13 patients had three ostium anomalies on the left and one right. In addition, four ostium anomalies were detected on the left and one on the right in one patient. In the measurement of common ostium diameters in right and left single ostium anomalies, it was found that especially SI diameters were larger, and the diameter of the right ostium was significantly larger in both anomalies (p <0.001). Conclusion: Computed Tomography is easily applicable, noninvasive, has an important role in the detection of variations and anomalies or the detection of normal anatomy in the imaging of pulmonary veins and left atrium. Anahtar Kelimeler: Pulmonary vein, Ostium, Anomaly Variation, Defect

Author

Dr. Refik Ülkü

How to Cite

Refik Ülkü (Doctorate thesis). Evaluation of vena pulmonalis variations by three dimensional computed tomography, 2021, Dicle University.

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