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Can myocardial contrast echo determine coronary flow reserve?
F J Ten Cate1, P R Silverman, L M Sassen
1Department of Cardiology, University Hospital, Rotterdam, The Netherlands.
Cardiovascular Research
|January 1, 1992
Summary
Myocardial contrast echocardiography shows poor correlation for measuring coronary flow reserve. Current technical limitations in imaging and analysis prevent accurate quantification of coronary blood flow.
Area of Science:
- Cardiovascular Imaging
- Echocardiography
- Hemodynamics
Background:
- Coronary artery disease diagnosis relies on accurate assessment of coronary flow reserve.
- Myocardial contrast echocardiography (MCE) is a potential non-invasive method for evaluating coronary blood flow.
- Existing techniques may have limitations in precise quantification.
Purpose of the Study:
- To assess the applicability of myocardial contrast echocardiography (MCE) for measuring coronary flow reserve (CFR).
- To evaluate the correlation between MCE-derived parameters and direct coronary blood flow measurements.
Main Methods:
- Eleven pigs with induced coronary atherosclerosis underwent MCE and electromagnetic flow measurements.
- Coronary flow reserve was assessed before and after partial coronary artery occlusion and vasodilation with papaverine.
- Echocardiograms were analyzed using videodensitometry to derive time-intensity curves and calculate parameters like T50 and peak intensity.
Main Results:
- Coronary blood flow significantly increased after papaverine administration.
- Correlations between MCE-derived indices (e.g., T50, peak intensity) and actual coronary blood flow were generally poor (r values ranging from 0.03 to 0.75).
- The correlation for coronary flow reserve was particularly weak for peak intensity (r=0.09) but better for time to peak (r=0.75).
Conclusions:
- Current limitations in MCE injection, imaging, and analysis techniques lead to data variability.
- These limitations preclude accurate quantification of coronary flow and coronary flow reserve using MCE.
- Further technical advancements are needed to improve the diagnostic accuracy of MCE for coronary flow assessment.