Key result
Recent advances in cardiovascular magnetic resonance imaging, including T1/T2 mapping, myocardial strain, and artificial intelligence, show considerable promise for improving cardiovascular diagnosis.
Why the study?
Recent innovations have advanced CMR techniques, motivating a review of developments in parametric mapping, myocardial strain, and artificial intelligence.
Advances in cardiovascular magnetic resonance techniques, including parametric mapping, strain imaging, and machine learning, are poised to significantly enhance non-invasive cardiovascular diagnosis and management.
Should not yet change practice; leaves open whether advanced CMR improves outcomes in prospective trials.
Over the last 15 years, cardiovascular magnetic resonance (CMR) imaging has progressively evolved to become an indispensable tool in cardiology. It is a non-invasive technique that enables objective and functional assessment of myocardial tissue. Recent innovations in magnetic resonance imaging scanner technology and parallel imaging techniques have facilitated the generation of T1 and T2 parametric mapping to explore tissue characteristics. The emergence of strain imaging has enabled cardiologists to evaluate cardiac function beyond conventional metrics. Significant progress in computer processing capabilities and cloud infrastructure has supported the growth of artificial intelligence in CMR imaging. In this review article, we describe recent advances in T1/T2 mapping, myocardial strain, and artificial intelligence in CMR imaging.
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Seetharam et al. (2019) conducted a review in Cardiovascular disease. Cardiovascular magnetic resonance imaging was evaluated. Recent advances in cardiovascular magnetic resonance imaging, including T1/T2 mapping, myocardial strain, and artificial intelligence, show considerable promise for improving cardiovascular diagnosis.
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