Analyzing heart imaging to predict risks in Duchenne muscular dystrophy
Spatiotemporal and Deep Learning Analysis of Cardiac Imaging for Predictive Risk Stratification in Duchenne Muscular Dystrophy
This study is looking at how heart disease develops in people with Duchenne muscular dystrophy (DMD) by using advanced heart scans to find early signs of heart problems, so that doctors can help patients get the right treatment sooner.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Indiana University Indianapolis NIH-funded |
| Lab location | 1 site (Indianapolis, United States) |
| Project ID | NIH-10897898 on NIH RePORTER |
What this research studies
This research focuses on improving the understanding of heart disease in individuals with Duchenne muscular dystrophy (DMD) by analyzing advanced cardiac imaging data. It aims to identify early imaging biomarkers that can indicate the onset and progression of cardiomyopathy associated with DMD. By utilizing a large registry of standardized imaging data from multiple medical institutions, the study employs innovative spatiotemporal analysis techniques to evaluate heart function over time. This approach seeks to enhance early diagnosis and treatment strategies for affected patients.
Who could benefit from this research
Good fit: Ideal candidates for this research are boys diagnosed with Duchenne muscular dystrophy, particularly those at risk for developing cardiomyopathy.
Not a fit: Patients with other forms of muscular dystrophy or those without a diagnosis of Duchenne muscular dystrophy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and better management of heart disease in patients with Duchenne muscular dystrophy, potentially improving their quality and length of life.
How similar studies have performed: Previous research has shown promise in using advanced imaging techniques for cardiac assessment in similar conditions, indicating potential for success in this novel approach.
Where this research is happening
Indianapolis, United States
- Indiana University Indianapolis — Indianapolis, United States (Active)
Researchers
- Principal investigator: Earl, Conner — Indiana University Indianapolis
- Study coordinator: Earl, Conner
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.