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Novel contouring method for optimizing MRI flow quantification in patients with aortic valve disease.
Malek M Yaman1, Michael Chetrit2, Jennifer Bullen2
1Cleveland Clinic Foundation, 9500 Euclid Ave., Cleveland, OH, 44195, USA. elyamam@ccf.org.
A new Selective Systolic Contouring (SSC) method for MRI aortic flow quantification improves accuracy in assessing aortic valve disease. This technique better approximates left ventricular stroke volume, leading to more precise evaluations of both aortic and mitral valve function.
Area of Science:
- Cardiovascular Imaging
- Medical Physics
- Cardiac MRI
Background:
- Accurate quantification of aortic flow using cardiac MRI is essential for assessing valvular heart disease severity.
- Current standard contouring methods may have limitations in precisely measuring systolic aortic forward flow.
Purpose of the Study:
- To evaluate the accuracy of a novel Selective Systolic Contouring (SSC) method for aortic flow quantification compared to standard contouring (SC) methods.
- To assess the performance of SSC at the aortic valve level in patients with aortic valve disease.
Main Methods:
- Cardiac MRI was performed on 98 patients with native aortic valve (AoV) disease and controls.
- Aortic forward flow was quantified using both standard contouring (SC) and a novel Selective Systolic Contouring (SSC) method at the aortic valve level.
- Bias was calculated as the difference between aortic forward flow and left ventricular stroke volume (LV SV).
Main Results:
- All methods tended to underestimate aortic forward flow, but SSC demonstrated the smallest bias (p < 0.001).
- SSC resulted in the lowest estimates of mitral regurgitant volume (4.8 ml) and regurgitant fraction (3.9%) (p < 0.05).
- SSC at the AoV level more closely approximated LV SV in the study cohort.
Conclusions:
- The Selective Systolic Contouring (SSC) method offers improved accuracy for MRI aortic flow quantification.
- SSC may provide a more precise quantitative assessment of both aortic and mitral valve function compared to standard methods.
- This novel technique holds promise for optimizing the evaluation of valvular disease severity.
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