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COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool?
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 corona...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979305/ https://www.ncbi.nlm.nih.gov/pubmed/36874412 http://dx.doi.org/10.12998/wjcc.v11.i5.1031 |
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author | Aydin, Fahri Kantarci, Mecit Aydın, Sonay Karavaş, Erdal Ceyhun, Gökhan Ogul, Hayri Şahin, Çağrı Emin Eren, Suat |
author_facet | Aydin, Fahri Kantarci, Mecit Aydın, Sonay Karavaş, Erdal Ceyhun, Gökhan Ogul, Hayri Şahin, Çağrı Emin Eren, Suat |
author_sort | Aydin, Fahri |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9979305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-99793052023-03-03 COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool? Aydin, Fahri Kantarci, Mecit Aydın, Sonay Karavaş, Erdal Ceyhun, Gökhan Ogul, Hayri Şahin, Çağrı Emin Eren, Suat World J Clin Cases Retrospective Study 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. Baishideng Publishing Group Inc 2023-02-16 2023-02-16 /pmc/articles/PMC9979305/ /pubmed/36874412 http://dx.doi.org/10.12998/wjcc.v11.i5.1031 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Retrospective Study Aydin, Fahri Kantarci, Mecit Aydın, Sonay Karavaş, Erdal Ceyhun, Gökhan Ogul, Hayri Şahin, Çağrı Emin Eren, Suat COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool? |
title | COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool? |
title_full | COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool? |
title_fullStr | COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool? |
title_full_unstemmed | COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool? |
title_short | COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool? |
title_sort | covid-19-related cardiomyopathy: can dual-energy computed tomography be a diagnostic tool? |
topic | Retrospective Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979305/ https://www.ncbi.nlm.nih.gov/pubmed/36874412 http://dx.doi.org/10.12998/wjcc.v11.i5.1031 |
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