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

Lian Yang50 enrolled

Overview

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

Study Type

OBSERVATIONAL

Enrollment

Conditions

Cardiac Disease

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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.

Locations (1)

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

Wuhan, Hubei, China

RECRUITING

Outcomes

Primary Outcomes

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

total scan time

Time frame: During procedure

objective image measurements (signal-to-noise ratio)

Time frame: one week

Central Contacts

Lian Yang

CONTACT

18986273791 yanglian@hust.edu.cn

Data from ClinicalTrials.gov

This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.