Evaluation of Renal Artery Variations in Horseshoe Kidneys with Computed Tomography.


Journal

Urology research & practice
ISSN: 2980-1478
Titre abrégé: Urol Res Pract
Pays: Turkey
ID NLM: 9918608789006676

Informations de publication

Date de publication:
Mar 2023
Historique:
medline: 25 10 2023
pubmed: 25 10 2023
entrez: 25 10 2023
Statut: ppublish

Résumé

Horseshoe kidney is the most common renal fusion anomaly, accounting for 90%. The study aims to explore the variations in the renal arteries of individuals with horseshoe kidney anomalies and contribute to the classification in the literature. Computed tomography images of 145 individuals who had intravenous contrast-enhanced abdominal computed tomography for any reason and had horseshoe kidney anomalies were analyzed retrospectively, and the presence, origin, and number of accessory renal arteries were evaluated. Then, classification was performed according to the origin of the accessory arteries. In 145 individuals, 44 different combinations of the accessory artery according to the origin and number were obtained. Most common accessory artery combination was type 2a (M1). According to our classification, 13.1% of the patients were type 1, 57.2% were type 2, 17.2% were type 3, 10.3% were type 4, and 1.4% were type 5. The classifications of arterial variations in horseshoe kidney anomalies did not match each other in previous studies and did not comprise all patients because they were conducted with a small number of cases. A more comprehensive new classification was created in our study according to accessory artery origins with the help of previous studies.

Identifiants

pubmed: 37877860
doi: 10.5152/tud.2023.22222
pmc: PMC10192719
doi:

Types de publication

Journal Article

Langues

eng

Pagination

125-130

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Auteurs

Azad Hekimoglu (A)

Department of Radiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey.

Onur Ergun (O)

Department of Radiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey.

Erdem Birgi (E)

Department of Radiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey.

Aynur Turan (A)

Department of Radiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey.

Baki Hekimoglu (B)

Department of Radiology, Dışkapı Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey.

Classifications MeSH