Abstract
In approx. 50% of cases, heart failure is caused by an isolated diastolic dysfunction (DD) in the presence of a preserved systolic function but with comparably devastating outcome. Among others, echocardiography (EC) categorized DD mainly according to early (E-wave) and late (A-wave) diastolic mitral blood flow (MBF) as well as tissue-doppler imaging (TDI) showing characteristic S`-E`-A` lateral wall velocity patterns. Cardiovascular magnetic resonance (CMR) has excellent capabilities to assess blood flow and myocardial tissue motion using phase contrast (PC-CMR) imaging but has not been used to quantify DD similar to the EC approach.
Highlights
In approx. 50% of cases, heart failure is caused by an isolated diastolic dysfunction (DD) in the presence of a preserved systolic function but with comparably devastating outcome
We introduce tissue-doppler imaging (TDI)-comparable tissue-phase-contrast imaging (TPCI) of the lateral wall and present reference values for mitral blood flow (MBF) and TPCI in a normal collective
Material and methods In 120 male/female healthy volunteers divided into three age groups (1=20-35ys;2=36-50ys.;3=>51ys) MBF and TPCI was measured by single-slice short axis PC-Cardiovascular magnetic resonance (CMR) (60phases, velocity-encoding=100cm/s) comparable to typical EC locations at the tip of mitral leaflets in diastole on a 1.5T whole body MRI system (Philips Achieva)
Summary
In approx. 50% of cases, heart failure is caused by an isolated diastolic dysfunction (DD) in the presence of a preserved systolic function but with comparably devastating outcome. 50% of cases, heart failure is caused by an isolated diastolic dysfunction (DD) in the presence of a preserved systolic function but with comparably devastating outcome. Echocardiography (EC) categorized DD mainly according to early (E-wave) and late (A-wave) diastolic mitral blood flow (MBF) as well as tissue-doppler imaging (TDI) showing characteristic S-E-Alateral wall velocity patterns. Cardiovascular magnetic resonance (CMR) has excellent capabilities to assess blood flow and myocardial tissue motion using phase contrast (PC-CMR) imaging but has not been used to quantify DD similar to the EC approach
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