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| Name | Class |
|---|---|
| Universitaire Ziekenhuizen KU Leuven | OTHER |
| Universitat Pompeu Fabra | OTHER |
| Hull University Teaching Hospitals NHS Trust | OTHER_GOV |
| Danderyd Hospital |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | Healthy volunteers or if they have had normal invasive or CT coronary arteriography or other functional imaging test |
| |
| Deformation imaging | Significant coronary disease (diameter stenosis >50%) has been diagnosed on arteriography or on CT angiography. Fractional flow reserve will be measured as the reference criterion. |
| |
| High p(CAD) | Intermediate-to-high probability of significant epicardial coronary disease (>50%). |
| |
| All comers | Probability of severe disease ranging from 15 to 85%. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Deformation imaging | Diagnostic Test | Deformation parameters derived using myocardial velocity imaging or speckle tracking |
|
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic 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. | 18 months |
| Measure | Description | Time Frame |
|---|---|---|
| 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 | 18 months |
| Diagnostic accuracy of using machine learning to interpret multiparametric and multidimensional datasets to diagnose myocardial ischaemia |
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Inclusion Criteria:
Exclusion Criteria:
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Secondary care referrals
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Imran D Sunderji | Contact | +441482 875875 | imran.sunderji@nhs.net | |
| Alan G Fraser | Contact |
| Name | Affiliation | Role |
|---|---|---|
| Alan G Fraser | University Hospital Wales | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UZ Leuven | Not yet recruiting | Leuven | Belgium |
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| ID | Term |
|---|---|
| D017202 | Myocardial Ischemia |
| D013180 | Sprains and Strains |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D014652 | Vascular Diseases |
| D014947 | Wounds and Injuries |
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| OTHER |
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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). |
| 18 months |
| Danderyd Hospital | Not yet recruiting | Stockholm | Sweden |
|
| University Hospital Wales | Recruiting | Cardiff | United Kingdom |
|
| Castle Hill Hospital | Not yet recruiting | Cottingham | United Kingdom |
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