Real-time myocardial contrast echocardiography with multi-indexes for the detection of coronary artery stenosis: comparison with gated single photon emission computed tomography / 中华超声影像学杂志

ABSTRACT

Objective To evaluate value of multi-indexes of real-time myocardial contrast echocardiography (RT-MCE) for the detection of coronary artery disease(CAD). Methods A total of 35 patients scheduled for coronary angiography underwent RT-MCE, and were undergone gated single photon emission computed tomography(gated-SPECT) after RT-MCE shortly. Coronary angiography was performed within one week of RT-MCE in all patients. All patients were divided CAD and no-CAD group. The observing indexes included (1)The images of RT-MCE were analyzed quantitatively from microbubble replenishment curves for myocardial perfusion by using the Qlab software; A,β and A×β were compared between two groups. The sensitivity and specificity of RT-MCE for detection of CAD were performance by ROC curves Gensini score were calculated in 22 patients. Then the correlation analysis was used for comparing the value of A,β and A×β with Gensini score. (2) The sensitivity and specificity of gated-SPECT and RT-MCE for assessment of CAD were calculated by 4 score method. (3) RT-MCE for the detection of coronary artery stenosis with multi-indexes. Results (1) A,β and A×β were significant difference between two groups. The cutoff of A,β and A×β was 4. 58,0. 64 and 2. 73,then the sensitivity and specificity of RT-MCE for detection of CAD were 86. 0% , 80. 2% , 88. 9% and 84.1 % , 64. 6% , 79. 9 % , respectively. The correlation index was - 0. 79, - 0. 51 and - 0. 76 comparing the results of A, β and A ×β with Gensini. (2) The sensitivity and specificity of gated-SPECT for assessment of CAD were 84. 8 % and 82. 7% ,respectively. (3) The sensitivity of multi-indexes RT-MCE increased, the sensitivity was 89. l%,90. 4% and 96.3% when combinated A and β,A and A×β,and β and A×β, respectively. Conclusions RT-MCE with multi-indexes has a valuable application for assessment of CAD. The severity of CAD could be evaluated by RT-MCE.