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Cardiac Computed Tomography Assessment in Acute Coronary Syndromes — Do We Have Time for It in Emergency Settings? Cover

Cardiac Computed Tomography Assessment in Acute Coronary Syndromes — Do We Have Time for It in Emergency Settings?

Open Access
|Jul 2017

Abstract

The diagnosis and treatment of acute coronary syndrome remain a challenge for clinicians in many clinical settings, especially in patients with previous low-to-intermediate risk. Due to its high specificity and sensitivity for detecting significant coronary artery stenoses, cardiac computed tomography angiography (CCTA) tends to be used more frequently in the emergency room (ER) in the last years. This technique has been associated with a higher rate of safe discharge in patients with chest pain, less time spent in the ER, and decreased costs related to further investigations. In cases positive for coronary artery stenosis, CCTA can accurately evaluate the indication for percutaneous coronary angioplasty and can offer relevant information related to the characteristics of the coronary plaques, being able to detect vulnerable coronary plaques. The aim of this manuscript is to highlight the possibility of using CCTA in the ER in the assessment of patients with chest pain and to show the benefits of the procedure regarding safety, costs, accuracy, and time.

DOI: https://doi.org/10.1515/jim-2017-0051 | Journal eISSN: 2501-8132 | Journal ISSN: 2501-5974
Language: English
Page range: 140 - 143
Submitted on: Sep 13, 2016
Accepted on: Nov 14, 2016
Published on: Jul 11, 2017
Published by: Asociatia Transilvana de Terapie Transvasculara si Transplant KARDIOMED
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Alexandra Stănescu, Elisabeta Himcinschi, Mirabela Morariu, Nora Rat, Lehel Bordi, Mihaela Rațiu, Annabella Benedek, Imre Benedek, Theodora Benedek, published by Asociatia Transilvana de Terapie Transvasculara si Transplant KARDIOMED
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.