NIH-funded research R01 grant

Using advanced imaging techniques to improve heart procedure outcomes for atrial fibrillation

Official title: RADIOMIC APPROACHES TO IMPROVE TARGETING FOR ATRIAL FIBRILLATION CATHETER ABLATION

Funded at Cleveland Clinic Lerner Com-Cwru · NIH-10869976 · Data updated 2026-11-12

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

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionCleveland Clinic Lerner Com-Cwru
NIH-funded
Lab location1 site (Cleveland, United States)
Project startJuly 15, 2021
Project endJune 30, 2025
Funding year2024
Award (this year)$716,119
NIH project number5R01HL158071-04
Project IDNIH-10869976 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are individuals diagnosed with atrial fibrillation who are considering catheter ablation as a treatment option.

Less likely to help

Patients who do not have atrial fibrillation or those who are not candidates for catheter ablation may not benefit from this research.

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.

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 gone: 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 Clinic Lerner Com-Cwru
    Cleveland, United States
    Active

Researchers

  • Principal investigator: Chung, Mina Kay — Cleveland Clinic Lerner Com-Cwru
  • Study coordinator: Chung, Mina Kay

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.