scholarly journals Renal Artery Fibromuscular Dysplasia in 2,640 Renal Donor Subjects: A CT Angiography Analysis

2013 ◽  
Vol 24 (10) ◽  
pp. 1477-1480 ◽  
Author(s):  
Gavin A. McKenzie ◽  
Gustavo S. Oderich ◽  
Akira Kawashima ◽  
Sanjay Misra
Praxis medica ◽  
2020 ◽  
Vol 49 (3-4) ◽  
pp. 1-5
Author(s):  
Miloš Gašić ◽  
Sava Stajić ◽  
Ivan Bogosavljević ◽  
Milena Šaranović ◽  
Aleksandra Milenković ◽  
...  

Introduction: The most common causes of renal artery disease are stenosis, as a consequence of atherosclerosis and fibromuscular dysplasia. Computed tomographic (CT) angiography is a non-invasive method, which enables visualization of vascular structures and walls of blood vessels, as well as morphology of the renal parenchyma. Objective: To determine the importance of CT angiography in detecting the cause and degree of renal arterial disease. Methods: A total of 45 patients were included in the cross-sectional study conducted from March 2017 to March 2019 in the KBC DR Dragiša Mišović-Dedinje, Belgrade, Serbia. Criteria for inclusion were suspicion of secondary arterial hypertension, patients in preparation for kidney transplantation and in the follow-up period after transplantation, as well as patients with suspected traumatic lesions. We analyzed the causes of the disease, the morphology of the blood vessel wall, the percentage of stenosis, and the renal parenchyma. Results: The most common causes of renal arterial disease are atherosclerosis, which was found in 33 (73%) patients, renal artery aneurysm was found in 5 (11%) subjects, fibromuscular dysplasia in 4 (8.9%) and trauma in 1 (2) , 3%) of the patient. There were 10 (22.2%) patients with a significant (average 80 ± 14.5%) degree of stenosis. The sensitivity of CT angiography in the detection of atherosclerotic changes in the renal arteries was 87.9%, while the sensitivity of CT angiography in the detection of fibromuscular dysplasia was 75%. A statistically significant correlation was found between atherosclerotic stenosis of the renal arteries and a positive CTA finding (p = 0.0002). Conclusion: CT angiography is an important method of visualization and quantification of pathological changes in the renal arteries.


2021 ◽  
Vol 10 (25) ◽  
pp. 1852-1856
Author(s):  
Manisha Kumari

BACKGROUND We wanted to assess the renal abnormalities including parenchymal, arterial, venous and collecting systems that preclude renal donation or altered surgical approach on the basis of CT angiography. METHODS This is a hospital based retrospective observational study. 55 donors (110 kidneys) had undergone preoperative CT renal angiography. The data were collected from last 3 years (December 2016 - December 2019) and analyzed. Two different radiologists interpreted the results unaware of the findings of each other. Final report depended upon the common consensus of both the radiologists. RESULTS The percentage of multiple renal arteries, early branching of renal artery and retrocaval right renal artery were 30 %, 5.45 % and 3.64 % respectively. The percentage of multiple renal veins, circumaortic renal vein and retroaortic renal veins were 7.27 %, 5.45 % and 1.82 % respectively. The late confluence of renal vein (left side) was found in 1 donor. Renal parenchymal abnormalities were detected in the form of simple cortical cysts and renal calculus. No variation or abnormality was detected in the collecting system. CONCLUSIONS Multi detector computed tomography (MDCT) angiography provides an accurate and reliable tool to evaluate the renal parenchyma, collecting system, vascular anatomy and their variations in the living renal donor. It guides the surgeon immensely in decision making regarding proper donor selection and as to which kidney should be harvested. KEY WORDS MDCT Angiography, Renal Vessels, Anatomic Variations, Living Renal Donor


Author(s):  
Manjunath G. Raju ◽  
Christopher T. Bajzer ◽  
Daniel G. Clair ◽  
Esther S.H. Kim ◽  
Heather L. Gornik

2013 ◽  
Vol 2013 (jun03 1) ◽  
pp. bcr2013009937-bcr2013009937 ◽  
Author(s):  
S. Sari ◽  
S. Verim ◽  
A. K. Sivrioglu ◽  
U. Bozlar

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