Intelligent Accelerated MRI for Pediatric Abdominal Pain (IA-MRI)

Yaqi Shen，MD，PhD

Status: Active, not recruiting

Conditions: Pediatric Abdominal Pain

Treatments: Other: Accelerated MRI scanning

Study type: Observational

Funder types: Other

Identifiers

NCT07164651

82471969 (Other Grant/Funding Number)

TJ-IRB202410027

Details and patient eligibility

About

The goal of this observational study is to evaluate the effectiveness of an intelligent accelerated MRI technique in children with abdominal pain. The main question it aims to answer is:

Does the intelligent accelerated MRI reduce scan time while maintaining diagnostic accuracy in pediatric patients?

Participants will:

Receive an abdominal MRI scan using the accelerated protocol as part of their clinical evaluation.

Have their scan duration and image quality compared to conventional MRI standards.

Full description

The goal of this prospective observational study is to evaluate the effectiveness and feasibility of an intelligent accelerated MRI scanning technique in pediatric patients presenting with abdominal pain. The main questions it aims to answer are:

Can the intelligent accelerated MRI technique achieve comparable or superior image quality to conventional MRI while significantly reducing scan time?

Does the accelerated scanning protocol reduce motion artifacts and improve diagnostic accuracy in pediatric patients?

Participants will:

Undergo an intelligent accelerated MRI scan of the abdomen as part of their diagnostic workup.

Have their scan duration, image quality, and diagnostic outcomes compared to historical or conventional MRI data (if available).

Why this study? Abdominal pain is a common pediatric complaint with diverse causes. While MRI is a non-invasive, radiation-free diagnostic tool, its utility in children is limited by long scan times and motion artifacts. This study investigates a novel intelligent accelerated MRI sequence that promises faster scans without compromising quality. Validating this technology in children could transform MRI's role in diagnosing abdominal pain by improving patient comfort, reducing sedation needs, and enhancing diagnostic accuracy.

Ethical approval: Conducted at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, with oversight by the Institutional Ethics Committee.

Key innovation: Leveraging cutting-edge AI-driven acceleration to address pediatric imaging challenges. If successful, this approach could set a new standard for rapid, child-friendly MRI diagnostics.

Enrollment: 150 estimated patients

Sex: All

Ages: 3 to 18 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Children aged 3-18 years presenting with abdominal pain who have undergone abdominal CT examination.
• Children whose guardians voluntarily agree to MRI examination and sign written informed consent.

Exclusion criteria

• Children with contraindications to MRI (e.g., metal implants, severe claustrophobia) or those unable to cooperate with the examination.

Trial design

150 participants in 1 patient group

1

Description:

Pediatric patients who were undergoing MRE examination for abdominal pain

Treatment:

Other: Accelerated MRI scanning