Key result
Advanced CMR techniques promise improved clinical cardiovascular diagnosis across multiple imaging modalities.
Why the study?
Recent technological hardware and software advancements in cardiac magnetic resonance imaging have enabled new methods to improve clinical cardiovascular diagnosis and prognosis.
Recent advancements in cardiac magnetic resonance imaging, including higher magnetic field scanners, T1/T2/T2 mapping, and 4D flow, have the potential to improve clinical cardiovascular diagnosis and prognosis.
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Advances in CMR mapping and flow may aid complex diagnosis; leaves open prospective validation before routine adoption.
Cardiac magnetic resonance has become a well-established imaging modality and is considered the gold standard for myocardial tissue viability assessment and ventricular volumes quantification. Recent technological hardware and software advancements in magnetic resonance imaging technology have allowed the development of new methods that can improve clinical cardiovascular diagnosis and prognosis. The advent of a new generation of higher magnetic field scanners can be beneficial to various clinical applications. Also, the development of faster acquisition techniques have allowed mapping of the magnetic relaxation properties T1, T2, and T2* in the myocardium that can be used to quantify myocardial diffuse fibrosis, determine the presence of edema or inflammation, and measure iron within the myocardium, respectively. Another recent major advancement in CMR has been the introduction of three-dimension (3D) phase contrast imaging, also known as 4D flow. The following review discusses key advances in cardiac magnetic resonance technology and their potential to improve clinical cardiovascular diagnosis and outcomes.
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Ghosn et al. (2014) conducted a review in Cardiovascular disease. Cardiac magnetic resonance imaging technology advancements was evaluated. Recent advancements in cardiac magnetic resonance technology, including higher magnetic field scanners, T1/T2 mapping, and 4D flow, have the potential to improve clinical cardiovascular diagnosis.
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