Key result
2D flow pathline analysis demonstrated a linear correlation between pathline spatial distribution and myocardial strain, providing regional assessment of early diastolic filling patterns.
Why the study?
Does 2D flow pathline analysis using SPAMM-PAV accurately assess early diastolic filling patterns in normal and infarcted hearts?
Observational (n=15)
Does 2D flow pathline analysis using SPAMM-PAV accurately assess early diastolic filling patterns in normal and infarcted hearts?
2D pathline analysis using SPAMM-PAV provides a direct regional assessment of early diastolic filling patterns and is sensitive to abnormalities in early diastolic filling.
Answers are grounded in this paper and cite their sources.
May support preclinical regional diastolic assessment; leaves open human validation before clinical use.
A high-temporal resolution 2D flow pathline analysis method to study early diastolic filling is presented. Filling patterns in normal volunteers (n = 8) and canine animals [baseline (n = 1) and infarcted (n = 6)] are studied. Data are acquired using spatial modulation of magnetization with polarity alternating velocity encoding, which permits simultaneous quantification of 1D blood velocities (using phase contrast encoding) and myocardial strain (using spatial modulation of magnetization tagging and harmonic phase analysis) at high-temporal resolution of 14 ms within a single breath hold. Virtual emitter particles, released from the mitral valve plane every time frame during rapid filling, are tracked to depict the 2D pathlines on the imaged plane. The pathline regional distribution is compared with myocardial longitudinal strains and to regional pressure gradients. Quantitative analysis of net kinetic energy of pathlines is finally performed. Our results demonstrate a linear correlation (r(2) = 0.85) between pathline spatial distribution and myocardial strain. Peak net kinetic energy of 0.06 ± 0.01 mJ in normal volunteers, 0.043 mJ in baseline dog, 0.143 ± 0.03 mJ in infarcted dogs with nominal flow dysfunction, and 0.016 ± 0.007 mJ in infarcted dogs with severe flow dysfunction is observed. In conclusion, 2D pathline analysis provides a direct regional assessment of early diastolic filling patterns and is sensitive to abnormalities in early diastolic filling.
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Zhang et al. (2012) conducted an observational in Myocardial infarction (canine) and normal volunteers (n=15). 2D flow pathline analysis using spatial modulation of magnetization with polarity alternating velocity encoding was evaluated on Correlation between pathline spatial distribution and myocardial strain, and peak net kinetic energy (r2 = 0.85). 2D flow pathline analysis demonstrated a linear correlation between pathline spatial distribution and myocardial strain, providing regional assessment of early diastolic filling patterns.
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