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

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Özet

BACKGROUNDNo 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.AIMTo 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.METHODSTwo 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.RESULTSThe 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.CONCLUSIONMyocardial 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.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/16903Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.12998/wjcc.v11.i5.1031Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorAydin, Fahri
dc.contributor.authorKantarci, Mecit
dc.contributor.authorAydin, Sonay
dc.contributor.authorKaravas, Erdal
dc.contributor.authorCeyhun, Gokhan
dc.contributor.authorOgul, Hayri
dc.contributor.authorSahin, Cagri Emin
dc.contributor.authorEren, Suat
dc.date.accessioned2026-10-18T20:41:07.738682829Z
dc.date.available2026-10-18T20:41:07.738682829Z
dc.date.issued2023
dc.description.abstractBACKGROUNDNo 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.AIMTo 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.METHODSTwo 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.RESULTSThe 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.CONCLUSIONMyocardial 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.
dc.identifier.doi10.12998/wjcc.v11.i5.1031
dc.identifier.endpage1039
dc.identifier.issn2307-8960
dc.identifier.issue5
dc.identifier.pmcidPMC9979305
dc.identifier.pmid36874412
dc.identifier.startpage1031
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/16903
dc.identifier.volume11
dc.identifier.wosWOS:000943171300006
dc.language.isoen
dc.publisherBAISHIDENG PUBLISHING GROUP INC
dc.relation.ispartofWORLD JOURNAL OF CLINICAL CASES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDual energy computed tomography
dc.subjectCOVID-19
dc.subjectHeart
dc.subjectPerfusion
dc.subjectD-dimer
dc.subjectCT
dc.subjectPRINCIPLES
dc.subjectDISEASE
dc.subjectMedicine, General & Internal
dc.subjectGeneral & Internal Medicine
dc.titleCOVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool?
dc.typeArticle
dspace.entity.typePublication
rdl.citation.wos2
rdl.departmentDepartment of Radiology, Erzincan Binali Yidirim University, Erzincan 24000, Turkey.
rdl.oa.statusgold
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)