Computed Tomography Angiographic Features of Anomalous Origination of the Coronary Arteries in Adult Patients: A Literature Review and Coronary Computed Tomography Angiographic Illustrations.


Journal

Current problems in diagnostic radiology
ISSN: 1535-6302
Titre abrégé: Curr Probl Diagn Radiol
Pays: United States
ID NLM: 7607123

Informations de publication

Date de publication:
Historique:
received: 31 08 2020
revised: 16 11 2020
accepted: 23 11 2020
pubmed: 3 2 2021
medline: 16 2 2022
entrez: 2 2 2021
Statut: ppublish

Résumé

Computed tomography angiography not only detects atherosclerotic coronary artery disease but also helps delineate the anomalous coronary arterial anatomy that may be more than just an incidental finding and could contribute to patients' symptomatology. Additionally, identification of coronary artery anomalies is clinically significant for preoperative planning and optimizing the approach for coronary catheterizations or surgical treatments. In this work, we review rare origination anomalies of coronary arteries and illustrate their characteristics through computed tomography images.

Identifiants

pubmed: 33526366
pii: S0363-0188(21)00021-9
doi: 10.1067/j.cpradiol.2020.11.010
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

204-216

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Sana Salehi (S)

Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA. Electronic address: ss_633@usc.edu.

Kabir Suri (K)

Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA.

Mohammad Hossein Najafi (MH)

Department of Cardiology, Tehran Medical Unit, Azad University, Tehran, Iran.

Majid Assadi (M)

The Persian Gulf Nuclear Medicine Research Center, Bushehr University of Medical Science, Bushehr, Iran.

Emad Alddin Hosseini Toudeshki (EA)

Independent researcher, Payambaran hospital, Tehran, Iran.

Navid Sarmast Alizadeh (N)

Independent researcher, Payambaran hospital, Tehran, Iran.

Ali Gholamrezanezhad (A)

Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA.

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Classifications MeSH