Patients with chest pain on exertion need a reliable non-invasive test to identify if they have inducible myocardial ischaemia. This would reduce the use of diagnostic coronary arteriography, avoid its risks and costs, and guide clinical decisions. Conventional stress echocardiography has poor reproducibility because it relies on qualitative and subjective interpretation. Quantitative approaches based on precise and reliable measurements of myocardial velocity, strain, strain rate and global longitudinal strain have been shown to be able to accurately diagnose myocardial ischaemia. A more accurate test using myocardial velocity imaging was not implemented by ultrasound vendors although it provided an objective measurement of myocardial functional reserve on a continuous scale from normality to severe ischaemia. The investigators propose an original approach to create a diagnostic software tool that can be used in routine clinical practice. The investigators will extract and compare quantitative data obtained through myocardial velocity imaging and speckle tracking in subjects who undergo dobutamine stress echocardiography. The data will be analysed using advanced computational mathematics including multiple kernel learning and joint statistics applied to multivariate data across multiple dimensions (including velocity, strain and strain rate traces). This approach will be validated against quantitative coronary arteriography and fractional flow reserve. The results will be displayed as parametric images and placed into a reporting tool. The output will determine the presence and severity of myocardial ischaemia. These new tools will have the capacity for iterative learning so that the precision of the diagnostic conclusions can be continuously refined.
Study Type
OBSERVATIONAL
Enrollment
390
Deformation parameters derived using myocardial velocity imaging or speckle tracking
UZ Leuven
Leuven, Belgium
NOT_YET_RECRUITINGDanderyd Hospital
Stockholm, Sweden
NOT_YET_RECRUITINGUniversity Hospital Wales
Cardiff, United Kingdom
RECRUITINGCastle Hill Hospital
Cottingham, United Kingdom
NOT_YET_RECRUITINGDiagnostic accuracy of quantitative measures of dobutamine stress echocardiography
Echocardiographic measurements of segmental myocardial velocity, strain, strain rate and wall motion scoring referenced against measurements derived from coronary angiography.
Time frame: 18 months
Lowest dose of dobutamine to provoke measurable marker of inducible myocardial ischaemia
Using modelling techniques applied predict lowest dose of dobutamine to maintain diagnostic accuracy
Time frame: 18 months
Diagnostic accuracy of using machine learning to interpret multiparametric and multidimensional datasets to diagnose myocardial ischaemia
Use modelling to combine pre-test probabilities (based on risk factors such as age), physiological factors (e.g., heart rate) that are associated with longitudinal function and data derived throughout the cardiac cycle (i.e., based on analysis of velocity or strain curves and not just a single value like peak velocity or strain).
Time frame: 18 months
Alan G Fraser
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