Quantitative assessment of myocardial perfusion during graded coronary stenosis by real-time myocardial contrast echo refilling curves
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Updated: Oct 9, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
H Masugata1, B Peters, S Lafitte
1Cardiovascular Division, University of California at San Diego, USA.
Insights
Real-time myocardial contrast echocardiography (MCE) effectively identifies coronary stenosis by correlating signal intensity parameters with myocardial blood flow. This technique aids in delineating perfusion abnormalities in graded coronary stenoses.
Area of Science:
- Cardiovascular Imaging
- Echocardiography
- Hemodynamics
Background:
- Real-time myocardial contrast echocardiography (MCE) allows for myocardial opacification during imaging.
- Technological advancements facilitate improved MCE techniques.
Purpose of the Study:
- To assess real-time MCE's capability in detecting abnormalities caused by coronary stenoses.
- To correlate signal intensity (SI) parameters from MCE with myocardial blood flow (MBF) and contractile function.
Main Methods:
- Eight open-chest dogs underwent LAD occlusion and graded stenoses (flow-limiting at rest [FLS] or non-flow-limiting at rest [NFLS]).
- Myocardial contrast echo utilized Optison and real-time power pulse inversion imaging with high-energy FLASH frames for bubble destruction.
- Myocardial SI-versus-time plots were analyzed to derive the rate of SI rise (b) and peak SI.
Main Results:
- Perfusion abnormalities were detected, particularly with severe NFLS and FLS.
- The rate of SI rise (b) significantly decreased with severe NFLS and showed a near-significant reduction with moderate NFLS.
- MBF ratios correlated strongly with parameter 'b' (r=0.79) and the product of peak SI and 'b' (r=0.80).
Conclusions:
- Real-time MCE parameters derived from microbubble refilling correlate well with MBF.
- This echocardiographic method can effectively identify coronary stenosis in an animal model.
Objectives:
The present study examined the ability of real-time myocardial contrast echocardiography (MCE) to delineate abnormalities produced by graded coronary stenoses and to correlate signal intensity (SI) parameters derived from destruction/refilling curves with regional myocardial blood flow (MBF) and contractile function.
Background:
Recent technological advances have enabled myocardial opacification by MCE to be achieved during real-time imaging.
Methods:
In eight open-chest dogs, we created LAD occlusion and graded stenoses that were either flow-limiting at rest (FLS) or reduced adenosine hyperemia (non-flow-limiting at rest = NFLS). Myocardial contrast echo used Optison infusion and low-energy real-time power pulse inversion imaging. High-energy FLASH frames destroyed bubbles every 15 cardiac cycles. Myocardial SI-versus-time plots were fitted to a one-exponential function to obtain the rate of SI rise (b) and peak SI in the last frame.
Results:
Dyssynergy was not observed during any NFLS, but perfusion abnormalities were. Visual detection of decreased opacification was possible with severe NFLS and FLS. b demonstrated a significant reduction with severe NFLS and near significant with moderate NFLS; peak SI did not. All exponential parameters were significantly decreased with FL stenosis and occlusion. The MBF ratio in LAD/LCx beds (fluorescent microspheres) correlated with b (r = 0.79) and the product of the peak SI and b (r = 0.80).
Conclusions:
In an open-chest dog model, parameters derived from microbubble refilling of the imaging field by real-time MCE correlate well with myocardial blood flow and can identify coronary stenosis.
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