Improving heart surgery decisions for patients with stable coronary artery disease
Multi-modality Image Fusion to Improve Coronary Revascularization in Patients with Stable Coronary Artery Disease
['FUNDING_R15'] · MICHIGAN TECHNOLOGICAL UNIVERSITY · NIH-10796378
This study is looking to improve how doctors decide which patients with stable heart disease should have surgery by using special imaging techniques to get a clearer picture of heart function and artery health, helping to ensure that only those who really need it get treated.
Quick facts
| Phase | ['FUNDING_R15'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | MICHIGAN TECHNOLOGICAL UNIVERSITY (nih funded) |
| Locations | 1 site (HOUGHTON, UNITED STATES) |
| Trial ID | NIH-10796378 on ClinicalTrials.gov |
What this research studies
This research aims to enhance the selection process for coronary revascularization in patients with stable coronary artery disease by integrating physiological and anatomical information. The approach involves combining advanced imaging techniques, specifically gated SPECT myocardial perfusion imaging with invasive coronary angiography, to create a comprehensive assessment of heart function and artery conditions. By utilizing machine learning to interpret these combined images, cardiologists can make more informed decisions about which lesions to treat, potentially leading to better patient outcomes. The goal is to ensure that only the most suitable patients undergo surgical interventions, improving overall treatment effectiveness.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with stable coronary artery disease who are considering coronary revascularization.
Not a fit: Patients with unstable coronary artery disease or those who are not candidates for coronary revascularization may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise and effective treatment decisions for patients with coronary artery disease, ultimately improving their health outcomes.
How similar studies have performed: Previous studies have shown that integrating physiological assessments with anatomical imaging can improve treatment outcomes, suggesting a promising avenue for this research.
Where this research is happening
HOUGHTON, UNITED STATES
- MICHIGAN TECHNOLOGICAL UNIVERSITY — HOUGHTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZHOU, WEIHUA — MICHIGAN TECHNOLOGICAL UNIVERSITY
- Study coordinator: ZHOU, WEIHUA
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions: Coronary Artery Disease, Coronary Artery Disorder, atherosclerotic coronary disease