COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool?

Autor:	Aydin F; Department of Radiology, Ataturk University, Erzurum 25000, Turkey., Kantarci M; Department of Radiology, Ataturk University, Erzurum 25000, Turkey., Aydın S; Department of Radiology, Erzincan Binali Yidirim University, Erzincan 24000, Turkey., Karavaş E; Department of Radiology, Bandirma Onyedi Eylul University, Balikesir 10200, Turkey. erdalkaravas@hotmail.com., Ceyhun G; Department of Cardiology, Ataturk University, Erzurum 25000, Turkey., Ogul H; Department of Radiology, Ataturk University, Erzurum 25000, Turkey., Şahin ÇE; General Directorate of Public Health, Ministry of Health in Türkiye, Ankara 06100, Turkey., Eren S; Department of Radiology, Ataturk University, Erzurum 25000, Turkey.
Jazyk:	angličtina
Zdroj:	World journal of clinical cases [World J Clin Cases] 2023 Feb 16; Vol. 11 (5), pp. 1031-1039.
DOI:	10.12998/wjcc.v11.i5.1031
Abstrakt:	Background: No study on dual energy computed tomography (DECT) has been found in the literature to evaluate possibly fatal cardiac/myocardial problems in corona virus disease 2019 (COVID-19) patients. Myocardial perfusion deficits can be found in COVID-19 patients even without any significant coronary artery occlusion, and these deficits can be shown via DECT with a perfect interrater agreement. Aim: To assess lung perfusion alterations in COVID-19 patients. To our knowledge, no study using DECT has been performed to evaluate possibly fatal cardiac/ myocardial problems in COVID-19 patients. The purpose of this study is to evaluate the role of DECT in the detection of COVID-19-related cardiac diseases. Methods: Two blinded independent examiners evaluated CT images using the 17-segment model according to the American Heart Association's classification of the segmentation of the left ventricular myocardium. Additionally, intraluminal diseases and abnormalities in the main coronary arteries and branches were investigated. Following segment-by-segment analysis, perfusion deficiencies identified on the iodine map pictures on DECT were identified. Results: The study enrolled a total of 87 patients. Forty-two of these individuals were classified as COVID-19 positive, and 45 were classified as controls. Perfusion deficits were identified in 66.6% ( n = 30) of the cases. All control patients had a normal iodine distribution map. Perfusion deficits were found on DECT iodine map images with subepicardial ( n = 12, 40%), intramyocardial ( n = 8, 26.6%), or transmural ( n = 10, 33.3%) anatomical locations within the left ventricular wall. There was no subendocardial involvement in any of the patients. Conclusion: Myocardial perfusion deficits can be found in COVID-19 patients even without any significant coronary artery occlusion. These deficits can be shown via DECT with a perfect interrater agreement. Additionally, the presence of perfusion deficit is positively correlated with D-dimer levels. Competing Interests: Conflict-of-interest statement: All authors declare that they have no conflicts of interest. (©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.)
Databáze:	MEDLINE
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