Myocardial Strain for the Differentiation of Myocardial Involvement in the Post-Acute Sequelae of COVID-19-A Multiparametric Cardiac MRI Study.
El Sayed H IbrahimJason RubensteinAntonio SosaJadranka StojanovskaAmy PanPaula NorthHallgeir RuiIvor BenjaminPublished in: Tomography (Ann Arbor, Mich.) (2024)
Myocardial involvement was shown to be associated with an unfavorable prognosis in patients with COVID-19, which could lead to fatal outcomes as in myocardial injury-induced arrhythmias and sudden cardiac death. We hypothesized that magnetic resonance imaging (MRI) myocardial strain parameters are sensitive markers for identifying subclinical cardiac dysfunction associated with myocardial involvement in the post-acute sequelae of COVID-19 (PASC). This study evaluated 115 subjects, including 65 consecutive COVID-19 patients, using MRI for the assessment of either post-COVID-19 myocarditis or other cardiomyopathies. Subjects were categorized, based on the results of the MRI exams, as having either 'suspected' or 'excluded' myocarditis. A control group of 50 matched individuals was studied. Along with parameters of global cardiac function, the MRI images were analyzed for measurements of the myocardial T1, T2, extracellular volume (ECV), strain, and strain rate. Based on the MRI late gadolinium enhancement and T1/T2/ECV mappings, myocarditis was suspected in 7 out of 22 patients referred due to concern of myocarditis and in 9 out of 43 patients referred due to concern of cardiomyopathies. The myocardial global longitudinal, circumferential, and radial strains and strain rates in the suspected myocarditis group were significantly smaller than those in the excluded myocarditis group, which in turn were significantly smaller than those in the control group. The results showed significant correlations between the strain, strain rate, and global cardiac function parameters. In conclusion, this study emphasizes the value of multiparametric MRI for differentiating patients with myocardial involvement in the PASC based on changes in the myocardial contractility pattern and tissue structure.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- left ventricular
- sars cov
- diffusion weighted imaging
- coronavirus disease
- end stage renal disease
- magnetic resonance
- computed tomography
- newly diagnosed
- chronic kidney disease
- pulmonary embolism
- liver failure
- prognostic factors
- escherichia coli
- oxidative stress
- type diabetes
- peritoneal dialysis
- metabolic syndrome
- deep learning
- drug induced
- fluorescent probe
- sensitive detection
- extracorporeal membrane oxygenation
- congenital heart disease
- stress induced