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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

50 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-08-01

Study Completion Date

2026-08-01

Brief Summary

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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

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Detailed Description

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Conditions

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Cardiac Disease

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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scanning using AI-based cardiac MRI sequences

No interventions assigned to this group

scanning using non-AI cardiac MRI sequences

No interventions assigned to this group

Eligibility Criteria

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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.

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No