Myocarditis is a common inflammatory disease in the myocardium, associated with acute heart failure, chronic dilated cardiomyopathy and sudden cardiac death. Current clinical diagnosis is based on magnetic resonance imaging, including administration of gadolinium-based contrast agents. We propose that conventional balanced steady-state-free-precession magnetic resonance imaging images reveals quantitative diagnostic features based on texture analysis. Our results showed that the texture features, in specific Variance, Gradient Mean and Sum Average, were able to significantly separate patients with and without myocarditis using conventional balanced steady-state-free-precession magnetic resonance imaging images.
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