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

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07274436
Enrollment
50
Registered
2025-12-10
Start date
2025-08-01
Completion date
2026-08-01
Last updated
2025-12-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiac Disease

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

Interventions

None listed

Sponsors

Lian Yang
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Patient satisfactionimmediately after procedurePatient satisfaction will be evaluated using a Likert scale with the following scoring criteria:5 - Very Satisfied;4 - Satisfied;3 - Neutral;2 - Dissatisfied;1 - Very Dissatisfied

Secondary

MeasureTime frame
total scan timeDuring procedure
objective image measurements (signal-to-noise ratio)one week

Countries

China

Contacts

Primary ContactLian Yang
yanglian@hust.edu.cn18986273791

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026