The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning
ConditionCardiac Disease
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
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 design
Treatments tested in this trial
- Not listed
Trial groups
50 Participants
are grouped into 2 trial groupsLocations
1Union Hospital，Tongji Medical College，Huazhong University of Science and Technology430000, WuhanHubei, China
Sponsors and collaborators
Lian Yang
Lead sponsor
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Sponsor institution
Source ClinicalTrials.gov