Using advanced imaging techniques to improve heart procedure outcomes for atrial fibrillation
RADIOMIC APPROACHES TO IMPROVE TARGETING FOR ATRIAL FIBRILLATION CATHETER ABLATION
['FUNDING_R01'] · CLEVELAND CLINIC LERNER COM-CWRU · NIH-10869976
This study is looking to make catheter ablation for atrial fibrillation more effective by using advanced imaging techniques to better understand heart anatomy, which could help doctors personalize treatment plans and improve results for patients like you.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | CLEVELAND CLINIC LERNER COM-CWRU (nih funded) |
| Locations | 1 site (CLEVELAND, UNITED STATES) |
| Trial ID | NIH-10869976 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the effectiveness of catheter ablation for atrial fibrillation (AF) by utilizing advanced imaging techniques known as radiomics. By analyzing cardiac CT scans, the team aims to identify specific anatomical features that can predict the success of the ablation procedure. The study will employ machine learning methods to analyze data from over 2000 patients, helping to personalize treatment plans and improve patient outcomes. This approach seeks to address the challenges of targeting the right areas in the heart during the ablation process.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with atrial fibrillation who are considering catheter ablation as a treatment option.
Not a fit: Patients who do not have atrial fibrillation or those who are not candidates for catheter ablation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatments for patients with atrial fibrillation, potentially reducing the risk of complications and improving long-term success rates.
How similar studies have performed: Previous research has shown promising results using similar imaging and machine learning approaches to improve outcomes in atrial fibrillation treatments.
Where this research is happening
CLEVELAND, UNITED STATES
- CLEVELAND CLINIC LERNER COM-CWRU — CLEVELAND, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CHUNG, MINA KAY — CLEVELAND CLINIC LERNER COM-CWRU
- Study coordinator: CHUNG, MINA KAY
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.