6533b82afe1ef96bd128c3c4
RESEARCH PRODUCT
Analysis of myocardial perfusion or myocardial function for detection of regional myocardial abnormalities. An echocardiographic multicenter comparison study using myocardial contrast echocardiography and 2D echocardiography.
Christian FirschkeRainer HoffmannJarosław D. KasprzakAdrian C. BorgesChristian GreisStephan Von BardelebenJean-louis VanoverscheldeHarald BecherMarc Engelhardtsubject
Malemedicine.medical_specialtyContrast MediaCoronary DiseaseRisk AssessmentSensitivity and SpecificityCoronary artery diseaseMyocardial perfusion imagingVentricular Dysfunction Left2d echocardiographyInternal medicineCoronary CirculationMedical imagingMedicineHumansRadiology Nuclear Medicine and imagingObserver VariationEjection fractionmedicine.diagnostic_testbusiness.industryGeneral Medicinemedicine.diseaseMyocardial contrast echocardiographyEuropeEchocardiographyCardiologyFemaleCardiology and Cardiovascular MedicinebusinessPerfusionKappadescription
Background: Echocardiography based myocardial perfusion imaging and regional wall motion analysis are used for evaluation of coronary artery disease and regional myocardial abnormalities. Aim: This study sought to compare myocardial contrast echocardiography (MCE) and 2D echocardiography with regard to interobserver variability and detection of regional myocardial abnormalities. Methods: In 70 patients evenly distributed between three ejection fraction groups based on biplane cineventriculography (>55%, 35-55%, <35%), unenhanced and contrast enhanced 2D echocardiography and myocardial contrast echocardiography (MCE; SonoVue (R); Bracco) were performed. Regional watt motion and myocardial perfusion were assessed referring to a 16 segment model.. Interobserver agreement (10A) among 2 readers was determined within each imaging modality. To define a standard of truth for the presence of segmental myocardial disease an independent expert-panel decision was obtained based on clinical data, ECG, coronary angiography and blinded information from the imaging modalities. Results: Regional wall motion assessment was possible in 98.1% of segments using contrast enhanced 2D echocardiography and in 87.2% using unenhanced 2D echocardiography (p < 0.001), while perfusion assessment was possible in 90.1% of segments (p < 0.001). 10A on presence of any regional wall motion abnormality expressed as Kappa coefficient was 0.71 (95% Cl 0.53-0.89) for contrast enhanced echocardiography and 0.37 (95% Cl 0.14-0.59) for unenhanced echocardiography. 10A on presence of any perfusion abnormality was 0.53 (95% Cl 0.34-0.73). For MCE there was high 10A for the apical segments (kappa = 0.57) and Lower 10A for the basal segments (kappa = 0.14), while no such gradient was found for the 10A on watt motion abnormalities. Mean accuracy to detect expert-pane[ defined myocardial abnormalities was 80.6% for unenhanced echocardiography, 85.0% for contrast enhanced 2D echocardiography and 80.6% for MCE. Conclusions: MCE is inferior to contrast enhanced 2D echocardiography with regard to visibility of all LV segments and appears slightly inferior with regards to 10A, white both are superior to unenhanced 2D echocardiography. The methods demonstrated high accuracy in detection of panel defined regional myocardial abnormalities. (C) 2006 The European Society of Cardiology. Published by Elsevier Ltd. All rights reserved.
year | journal | country | edition | language |
---|---|---|---|---|
2007-12-01 | European journal of echocardiography : the journal of the Working Group on Echocardiography of the European Society of Cardiology |