Registry collecting imaging data for patients with atrial fibrillation
Official title: Multimodal, Multicentre Registry of Clinical and Imaging Data to Develop Predictive Models Based on Artificial Intelligence to Support the Diagnostic and Therapeutic Process for Patients with Atrial Fibrillation Undergoing Catheter Ablation and Cardioversion.
Run by University in Zielona Góra · NCT06584266 · Data updated 2026-11-12
This study is collecting imaging data from patients with atrial fibrillation to see if artificial intelligence can help predict blood clots in the heart before they undergo treatment.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 3000 (estimated) |
| Sponsor | University in Zielona Góra Academic / other |
| Locations | 7 sites (Brno and 6 other locations) |
| Status | Recruiting |
| Started | January 1, 2024 |
| Main results expected | September 2026 |
| Study ends | September 2027 |
| Registry record updated | September 4, 2024 |
| Trial ID | NCT06584266 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients diagnosed with atrial fibrillation or atrial flutter who are scheduled to undergo transesophageal echocardiography.
✕Probably not a fit
Patients under 18 years old or those unable to provide informed consent will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational registry aims to gather a curated dataset of multimodal imaging data from patients with atrial fibrillation or flutter who undergo transesophageal echocardiography prior to catheter ablation or cardioversion. The study focuses on utilizing artificial intelligence to analyze transthoracic echocardiography video images combined with clinical data to predict the presence of left atrial appendage thrombus. By developing and validating an AI model, the study seeks to enhance risk prediction and outcomes for these patients.
Why it matters
Potential benefit: If successful, this study could lead to improved prediction of thrombus presence, potentially reducing the risk of stroke in patients with atrial fibrillation.
How similar studies have gone: Other studies have shown promise in using AI for medical imaging analysis, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: \- All patients with AF or AFl in whom TEE will be performed (to assess their eligibility for cardioversion or ablation), hospitalized in a participating center during study period (all consecutive patients). Exclusion Criteria: Age\<18, lack of informed, written consent to the TEE
Where it's running
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Nowa Sol Multidyscyplinary Hospital
Nowa Sól, Lubusz Voivodeship, Poland Recruiting -
John Paul II Hospital
Krakow, Poland Recruiting -
Military Institute of Medicine National Research Institute
Warsaw, Poland Recruiting -
Collegium Medicum, University of Zielona Góra
Zielona Góra, Poland Recruiting -
St. Anne Hospital
Brno, Czechia Not yet recruiting -
Medical University of Silesia
Katowice, Poland Not yet recruiting
Show 1 more location
-
National Institute of Cardiology
Warsaw, Poland Not yet recruiting
Study contacts
- Principal investigator: Konrad Pieszko, MD, PhD — University of Zielona Gora
- Study coordinator: Konrad Pieszko, MD, PhD
- Email: k.pieszko@cm.uz.zgora.pl
- Phone: +48728358082
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.