2022
DOI: 10.1093/ehjcr/ytac117
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Somatostatin receptor positron emission tomography/computed tomography in myocarditis following mRNA COVID-19 vaccination

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Cited by 5 publications
(2 citation statements)
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“…Among EMB diagnostics, non-invasive imaging techniques have been used to identify COVID-19-vaccine-related myocarditis [2][3][4][5][6][7]. Besides cMRI markers such as T2-weighted ratio, early gadolinium enhancement and late gadolinium enhancement within the Lake Louise criteria and somatostatin receptor positron emission tomography/computed tomography (PET/CT) have been applied for the diagnosis of myocarditis following COVID-19 vaccination [27]. However, as cardiac imaging techniques give helpful, but limited information about severe myocardial inflammation, they are unable to correlate with mild inflammation and viral persistence.…”
Section: Discussionmentioning
confidence: 99%
“…Among EMB diagnostics, non-invasive imaging techniques have been used to identify COVID-19-vaccine-related myocarditis [2][3][4][5][6][7]. Besides cMRI markers such as T2-weighted ratio, early gadolinium enhancement and late gadolinium enhancement within the Lake Louise criteria and somatostatin receptor positron emission tomography/computed tomography (PET/CT) have been applied for the diagnosis of myocarditis following COVID-19 vaccination [27]. However, as cardiac imaging techniques give helpful, but limited information about severe myocardial inflammation, they are unable to correlate with mild inflammation and viral persistence.…”
Section: Discussionmentioning
confidence: 99%
“…CMRI is the mainstay in the diagnostic workup and shows signs of myocardial inflammation, which are often classic in cases of viral myocarditis, especially when following mRNA COVID-19 vaccination. Myocarditis following mRNA COVID-19 vaccination could also be visualized using somatostatin receptor PET/CT, a promising method for molecular inflammation imaging [27,58]. Sarcoidosis is a systemic inflammatory disease of unknown etiology characterized by non-caseating granuloma formation [59].…”
Section: Biomarkersmentioning
confidence: 99%