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

Lian Yang

Status: Enrolling

Conditions: Cardiac Disease

Study type: Observational

Funder types: Other

Identifiers

NCT07274436

2025-0804

Details and patient eligibility

About

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

Enrollment: 50 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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.

Trial design

50 participants in 2 patient groups

scanning using AI-based cardiac MRI sequences

scanning using non-AI cardiac MRI sequences