Improving heart attack risk assessment using machine learning in stress echocardiography
Machine Learning in Quantitative Stress Echocardiography
Hull University Teaching Hospitals NHS Trust · NCT04193475
This study is testing if new computer tools can help doctors better spot heart attack risks in patients using a heart ultrasound test done under stress.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1250 (estimated) |
| Ages | 20 Years to 89 Years |
| Sex | All |
| Sponsor | Hull University Teaching Hospitals NHS Trust (other gov) |
| Locations | 1 site (Cottingham) |
| Trial ID | NCT04193475 on ClinicalTrials.gov |
What this trial studies
This observational study aims to enhance the diagnostic accuracy of stress echocardiography, a test that uses ultrasound to evaluate heart function under stress. By developing advanced machine learning tools, the researchers will analyze echocardiographic scans to better identify patients at risk of heart attacks. The study will focus on measuring heart muscle function and detecting abnormalities through innovative analysis techniques. This approach seeks to reduce the need for invasive tests and improve patient outcomes by providing more precise diagnoses.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals who are clinically suitable for stress echocardiography examinations.
Not a fit: Patients who do not require stress echocardiography or have contraindications for the procedure may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate assessments of heart attack risk, ultimately improving patient management and reducing unnecessary invasive procedures.
How similar studies have performed: Other studies have shown promise in improving diagnostic accuracy with similar approaches, indicating potential for success in this novel application.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Clinically suitable for stress echocardiography examination Exclusion Criteria: * None
Where this trial is running
Cottingham
- Castle Hill Hospital — Cottingham, United Kingdom (RECRUITING)
Study contacts
- Study coordinator: Imran Sunderji, MBBS
- Email: imran.sunderji@nhs.net
- Phone: 07540844481
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Cardiovascular Diseases, Ischaemic Heart Disease, Chest pain, Angina, Deformation imaging, Tissue doppler imaging, Strain, Velocity