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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorLian Yang

About this trial

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

This trial does not accept healthy volunteers

Qualifiers

Patients requiring cardiac MRI in clinical practice;

Patient age ≥ 18 years;

The patient has signed an informed consent form.

Disqualifiers

Patients with contraindications to magnetic resonance imaging;

Patients who failed to complete the MRI examination or whose image quality was inadequate for diagnostic requirements;

Other circumstances deemed by clinical trial personnel as unsuitable for participation in this trial;

Subjects or their legal guardians voluntarily requesting to withdraw.

Trial population

Patients requiring cardiac MRI in clinical practice

Trial design

Design model

Case-control

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

50 Participants
are grouped into 2 trial groups
Group A: scanning using AI-based cardiac MRI sequences
Group B: scanning using non-AI cardiac MRI sequences

Trial outcomes

Primary outcomes

1

Patient satisfaction

Patient 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

Time frame
immediately after procedure

Secondary outcomes

1

total scan time

Time frame
During procedure
2

objective image measurements (signal-to-noise ratio)

Time frame
one week

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Lian Yang

Lead sponsor

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Sponsor institution