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Updated: Apr 18, 2026

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Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
Published on: May 24, 2021
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Normalized left ventricular workload using phase-contrast magnetic resonance imaging in patients with aortic stenosis
Summary
Assessing aortic stenosis (AS) severity is crucial. Cardiovascular magnetic resonance-derived stroke work (SW) and normalized SW (N-SW) show promise for grading AS patients and evaluating left ventricle strain.
Area of Science:
- Cardiovascular Imaging and Hemodynamics
- Biomedical Engineering
- Clinical Cardiology
Background:
- Aortic stenosis (AS) severity impacts left ventricle (LV) function by increasing hemodynamic load.
- Increased LV stroke work (SW) is a consequence of this altered load, representing the energy needed for blood ejection.
- Quantifying SW is essential for understanding AS progression and patient outcomes.
Purpose of the Study:
- To derive and evaluate left ventricle stroke work (SW) and normalized SW (N-SW) from cardiovascular magnetic resonance (CMR) data.
- To assess the utility of N-SW as a parameter for determining AS severity.
- To establish a potential threshold for N-SW in grading AS patients.
Main Methods:
- Utilized in-vivo cardiovascular magnetic resonance (CMR) velocity measurements from 57 patients.
- Employed a lumped-parametric model to derive stroke work (SW).
- Calculated normalized SW (N-SW) and correlated it with established AS severity markers like effective orifice area (EOA) and valvulo-arterial impedance (ZVA).
Main Results:
- Stroke work (SW) successfully differentiated between normal and low flow states (p<0.05).
- Normalized SW (N-SW) demonstrated significant associations with EOA (r=-0.5, p<0.001) and ZVA (r=0.65, p<0.001).
- A severity threshold for N-SW (1.5 cJ/mL) was identified using EOA=1 cm(2) as a marker.
Conclusions:
- CMR-derived SW and N-SW are potentially valuable tools for assessing AS severity.
- N-SW shows strong correlation with key hemodynamic parameters, supporting its use in AS grading.
- These non-invasive metrics may aid in the clinical management and stratification of patients with aortic stenosis.
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