Key result
Quantitative cardiac MRI techniques, including parametric mapping and perfusion, are emerging as essential tools for the early detection, monitoring, and risk stratification of cardiovascular diseases.
Why the study?
As quantitative cardiac MRI techniques expand capabilities for earlier detection, monitoring, and risk stratification, a review was needed to appraise established and emerging methods and their clinical diagnostic potential.
Quantitative cardiac MRI is an essential tool for assessing cardiac function and tissue characterization, with emerging applications in machine learning and personalized disease management.
May support quantitative CMR integration in specialized centers; leaves open prospective validation for routine risk stratification.
Cardiac MRI has become an indispensable imaging modality in the investigation of patients with suspected heart disease. It has emerged as the gold standard test for cardiac function, volumes, and mass and allows noninvasive tissue characterization and the assessment of myocardial perfusion. Quantitative MRI already has a key role in the development and incorporation of machine learning in clinical imaging, potentially offering major improvements in both workflow efficiency and diagnostic accuracy. As the clinical applications of a wide range of quantitative cardiac MRI techniques are being explored and validated, we are expanding our capabilities for earlier detection, monitoring, and risk stratification of disease, potentially guiding personalized management decisions in various cardiac disease models. In this article we review established and emerging quantitative techniques, their clinical applications, highlight novel advances, and appraise their clinical diagnostic potential. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:693-711.
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Seraphim et al. (2019) conducted a review in Cardiovascular disease. Quantitative Cardiac MRI was evaluated. Quantitative cardiac MRI techniques, including parametric mapping and perfusion, are emerging as essential tools for the early detection, monitoring, and risk stratification of cardiovascular diseases.
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