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NCT Number: NCT07274436

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

Recruiting

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Key information

Conditions

Cardiac Disease Cardiovascular Diseases Heart Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

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

Wuhan, Hubei, 430000, China

Location status: Recruiting

Location contact

Lian Yang

CONTACT

[email protected]

18986273791

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients requiring cardiac MRI in clinical practice;
  • Patient age ≥ 18 years;
  • The patient has signed an informed consent form.

Exclusion criteria

  • 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.

Treatment and study plan

Primary outcomes

  1. Patient satisfaction

    Time frame: immediately after procedure

    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

Secondary outcomes

  1. total scan time

    Time frame: During procedure

  2. objective image measurements (signal-to-noise ratio)

    Time frame: one week

Study contacts

Contact information is provided by the study sponsor or research team.

Lian Yang

CONTACT

[email protected]

18986273791

Sponsors and collaborators

Lead sponsor

Lian Yang

Other

Registry information

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Dec 10, 2025
Registry last updated
Dec 10, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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