- Poster presentation
- Open Access
Quantification of myocardial stiffness in heart failure with preserved ejection fraction porcine model using magnetic resonance elastography
© Mazumder et al. 2016
- Published: 27 January 2016
- Cardiac Cycle
- Cardiac Magnetic Resonance
- Porcine Model
- Heart Failure With Preserve Ejection Fraction
- Shear Stiffness
Heart failure with preserved ejection fraction (HFpEF) is associated with a complex heterogeneous pathophysiology which is poorly understood thereby preventing appropriate diagnosis and prognosis1. However, it is known that most of the cardiovascular and non-cardiac abnormalities that induce HFpEF are eventually manifested as an increase in left ventricular (LV) myocardial stiffness (MS). Therefore, we hypothesize that quantifying MS will assist in timely diagnosis of HFpEF and reveal pathophysiological conditions that are specific to the prognosis of HFpEF. Recently, with the advent of cardiac magnetic resonance elastography (cMRE) it has been feasible to estimate the shear stiffness of myocardium noninvasively2. In this study, we use cMRE to estimate the change in LV MS across the cardiac cycle during disease progression in HFpEF induced pigs.
Renal wrapping surgery was performed in 5 pigs to induce HFpEF3. cMRE was performed at baseline (Bx, prior to surgery), month 1 (M1) and month 2 (M2) on a 1.5T MRI scanner (Avanto, Siemens Healthcare, Erlangen, Germany). cMRE imaging parameters includes: TR/TE = 12.5/9.71 ms; FOV = 384 × 384 mm2; Resolution = 3 × 3 × 8 mm3; Flip angle = 15°; GRAPPA = 2; Mechanical frequency = 80 Hz; Encoding frequency = 160 Hz; Phase offsets = 4. Images were masked to extract the LV and estimate cMRE-derived LV MS across the cardiac cycle using 3D local frequency estimation inversion algorithm at each time point. End- systolic (ES) and diastolic (ED) MS were correlated to the corresponding ES and ED pressures obtained using LV catheterization.
Our result demonstrates that cMRE-derived MS increases with disease progression in HFpEF porcine model thereby indicating the scope of using cMRE as a diagnostic tool to diagnose HFpEF condition.
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