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Recruiting NCT07274436

The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning

Trial Parameters

Condition Cardiac Disease
Sponsor Lian Yang
Study Type OBSERVATIONAL
Phase N/A
Enrollment 50
Sex ALL
Min Age 18 Years
Max Age N/A
Start Date 2025-08-01
Completion 2026-08-01

Brief Summary

By enrolling patients who underwent cardiac MR(Magnetic Resonance) examinations at our center and using randomized allocation, the patients were divided into a study group and a control group. The study group underwent scanning using AI-based(Artificial Intelligence-based) cardiac MRI(Magnetic Resonance Imaging) sequences, while the control group was scanned using non-AI cardiac MRI sequences

Eligibility Criteria

Inclusion Criteria: 1. Patients requiring cardiac MRI in clinical practice; 2. Patient age ≥ 18 years; 3. The patient has signed an informed consent form. Exclusion Criteria: 1. Patients with contraindications to magnetic resonance imaging; 2. Patients who failed to complete the MRI examination or whose image quality was inadequate for diagnostic requirements; 3. Other circumstances deemed by clinical trial personnel as unsuitable for participation in this trial; 4. Subjects or their legal guardians voluntarily requesting to withdraw.

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