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

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 Overview

• Status: Recruiting
• Conditions: Cardiac Disease

• Study Type: Observational
• Enrollment (Estimated): 50

Contacts and Locations

• Study Contact: Name: Lian Yang; Phone Number: 18986273791; Email: yanglian@hust.edu.cn

Study Locations

• China
  • Hubei
    • Wuhan, Hubei, China, 430000
      • Recruiting
      • Union Hospital，Tongji Medical College，Huazhong University of Science and Technology
      • Contact: Lian Yang; Phone Number: 18986273791; Email: yanglian@hust.edu.cn

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Probability Sample

Study Population

Patients requiring cardiac MRI in clinical practice

Description

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.

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort
scanning using AI-based cardiac MRI sequences
scanning using non-AI cardiac MRI sequences

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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	immediately after procedure

Secondary Outcome Measures

Outcome Measure	Time Frame
total scan time	During procedure
objective image measurements (signal-to-noise ratio)	one week

Collaborators and Investigators

• Sponsor: Lian Yang

Study record dates

Study Major Dates

• Study Start (Actual): August 1, 2025
• Primary Completion (Estimated): August 1, 2026
• Study Completion (Estimated): August 1, 2026

Study Registration Dates

• First Submitted: November 19, 2025
• First Submitted That Met QC Criteria: November 27, 2025
• First Posted (Actual): December 10, 2025

Study Record Updates

• Last Update Posted (Actual): December 10, 2025
• Last Update Submitted That Met QC Criteria: November 27, 2025
• Last Verified: November 1, 2025

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Cardiovascular Diseases; Heart Diseases
• Other Study ID Numbers: 2025-0804

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No