Key result
CMR provides indispensable structural, functional, and tissue data for the diagnosis and prognosis of NICM.
Why the study?
Determining heart failure etiology is fundamental for prognosis and treatment, and the true value of cardiac magnetic resonance to detect early disease likely remains underestimated.
Does cardiac magnetic resonance imaging improve diagnosis and prognosis prediction in patients with non-ischemic cardiomyopathies?
Does cardiac magnetic resonance imaging improve diagnosis and prognosis prediction in patients with non-ischemic cardiomyopathies?
Cardiac magnetic resonance imaging is a fundamental modality for the diagnostic evaluation and prognostic assessment of non-ischemic cardiomyopathies.
Cardiac magnetic resonance has become a reliable imaging modality providing structural and functional data, and fundamental information about tissue composition. Cardiac magnetic resonance imaging with late gadolinium enhancement, T1-mapping, T2-mapping, T2*-imaging, and extracellular volume, has proved to be a valuable tool in investigating the etiology of heart failure. Such analysis is helpful for the diagnostic evaluation of both ischemic and non-ischemic cardiomyopathies. As primary heart muscle diseases, the ability to characterize the myocardial substrate is essential. Determining the heart failure etiology is fundamental and has implications regarding the prognosis prediction and best treatment. Investigation in cardiac magnetic resonance in heart failure patients has grown in the past decade, and the true value of this imaging modality to detect early disease likely remains underestimated. This review describes the importance of cardiac magnetic resonance for the diagnosis and prognosis of non-ischemic cardiomyopathies, particularly hypertrophic, infiltrative, and arrhythmogenic cardiomyopathies.
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Almeida et al. (2022) conducted a review in Non-ischemic cardiomyopathies. Cardiac magnetic resonance (CMR) was evaluated. Cardiac magnetic resonance imaging provides crucial structural, functional, and tissue composition data that is indispensable for determining the diagnosis and prognosis of non-ischemic cardiomyopathies.
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