Status:
NOT_YET_RECRUITING
Prediction of Stroke Risk in Patients with Atrial Fibrillation Based on Chest CT Images
Lead Sponsor:
First Affiliated Hospital of Zhejiang University
Collaborating Sponsors:
The Fourth Affiliated Hospital of Zhejiang University School of Medicine
Taizhou Hospital
Conditions:
Atrial Fibrillation (AF)
Ischemic Stroke
Eligibility:
All Genders
Brief Summary
This study aims to create and assess a deep learning framework for extracting left atrial appendage features in atrial fibrillation patients and combining them with clinical data to predict ischemic s...
Detailed Description
This study aims to develop and evaluate a deep learning framework that can automatically extract imaging features of the left atrial appendage in patients with atrial fibrillation and combine them wit...
Eligibility Criteria
Inclusion
- Diagnosed with atrial fibrillation by ECG, 24-hour Holter monitor, or recordable ECG monitor; atrial fibrillation confirmed by an implanted pacemaker or defibrillator, lasting at least 30 seconds Available chest CT images and complete clinical data.
Exclusion
- Incomplete clinical data or diagnosis of valvular atrial fibrillation (e.g., rheumatic heart valve disease, post-valve replacement) Poor-quality CT images that prevent complete assessment of left atrial appendage morphology Patients who have undergone left atrial appendage closure Patients who have had radiofrequency ablation or cardioversion with no evidence of recurrence post-procedure
Key Trial Info
Start Date :
September 23 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
September 30 2026
Estimated Enrollment :
1500 Patients enrolled
Trial Details
Trial ID
NCT06611995
Start Date
September 23 2024
End Date
September 30 2026
Last Update
September 25 2024
Active Locations (1)
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1
The First Affiliated Hospital, Zhejiang University School of Medicine
Hangzhou, Zhejiang, China, 310003