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 groupsSponsors and collaborators
Lian Yang
Lead sponsor
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Sponsor institution
Source ClinicalTrials.gov