Distribution of Iliac Artery Calcification on Unenhanced Computed Tomography Scans Performed on Potential Recipients Prior to Renal Transplantation.


Journal

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
ISSN: 1488-2361
Titre abrégé: Can Assoc Radiol J
Pays: United States
ID NLM: 8812910

Informations de publication

Date de publication:
Aug 2021
Historique:
pubmed: 19 2 2020
medline: 3 8 2021
entrez: 19 2 2020
Statut: ppublish

Résumé

To investigate whether a significant difference exists between the calcification of the common iliac arteries (CIAs) and the external iliac arteries (EIAs) and test for associations between clinical factors and the distribution of calcification. A retrospective review of renal transplant candidates who underwent a routine preoperative unenhanced computed tomography yielded 214 patients. Agatston scores for the patients' left CIA, left EIA, right CIA, and right EIA were assigned. A retrospective search of patient records screened for 5 clinical factors (diabetes, hypertension, coronary artery disease [CAD], smoking, and dialysis). Data were assessed using a 2-sided The log-transformed Agatston scores in the CIA were found to be significantly greater than that in the EIA ( This study has demonstrated statistically significant EIA sparing in end-stage renal disease patients and identified CAD and smoking as associated factors. This phenomenon warrants further investigation into its biological mechanisms and the impact of EIA sparing on outcomes following transplants.

Identifiants

pubmed: 32067485
doi: 10.1177/0846537119899535
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

438-443

Auteurs

Adrian Marcuzzi (A)

58036St. Michael's Hospital, Toronto, Ontario, Canada.

Stella Wang (S)

Department of Medical Imaging, 7938University of Toronto, Toronto, Ontario, Canada.

Pascal N Tyrrell (PN)

Department of Medical Imaging, 7938University of Toronto, Toronto, Ontario, Canada.
Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada.

Pradeep Ravichandran (P)

58036St. Michael's Hospital, Toronto, Ontario, Canada.

Danny Marcuzzi (D)

58036St. Michael's Hospital, Toronto, Ontario, Canada.

Vikramaditya Prabhudesai (V)

58036St. Michael's Hospital, Toronto, Ontario, Canada.

Robert Stewart (R)

58036St. Michael's Hospital, Toronto, Ontario, Canada.

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