Prediction of Stroke Risk in Patients with Atrial Fibrillation Based on Chest CT Images

Launched by FIRST AFFILIATED HOSPITAL OF ZHEJIANG UNIVERSITY · Sep 22, 2024

Keywords

ClinConnect Summary

This clinical trial is designed to study how we can predict the risk of stroke in patients with a heart condition called atrial fibrillation (AF). Researchers want to use advanced computer technology to analyze chest CT images of the heart, focusing on a specific part called the left atrial appendage. They will combine this information with other health data to see if they can better identify which patients are at a higher risk for having a stroke. The study will involve patients who have been diagnosed with AF but do not have issues related to heart valve problems.

To be eligible for this trial, patients must have a confirmed diagnosis of atrial fibrillation and must have accessible chest CT images along with complete medical records. Those who have had certain heart procedures or whose CT images are of poor quality will not be included. Participants can expect to contribute to important research that could help improve stroke prevention in the future. The trial is currently not recruiting patients, so there will be no immediate participation opportunities.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 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 Criteria:
• • 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