NCT07164651

Brief Summary

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.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
150

participants targeted

Target at P50-P75 for all trials

Timeline
20mo left

Started May 2025

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress37%
May 2025Dec 2027

Study Start

First participant enrolled

May 26, 2025

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

September 2, 2025

Completed
8 days until next milestone

First Posted

Study publicly available on registry

September 10, 2025

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2026

Expected
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2027

Last Updated

September 10, 2025

Status Verified

September 1, 2025

Enrollment Period

1.6 years

First QC Date

September 2, 2025

Last Update Submit

September 9, 2025

Conditions

Keywords

Pediatric abdominal painIntelligent accelerated MRIImage qualityDiagnostic accuracyMotion artifacts

Outcome Measures

Primary Outcomes (1)

  • Scan Time Reduction with Intelligent Accelerated MRI

    Comparison of total scan time (minutes) for abdominal/pelvic MRI using the intelligent accelerated protocol (ACS-T2WI and TACS-T2WI sequences) versus conventional T2WI sequences, while maintaining diagnostic image quality (assessed by radiologists using a 5-point Likert scale).

    During MRI scan procedure (single time point).

Secondary Outcomes (2)

  • Diagnostic Accuracy of Accelerated MRI

    Within 24 hours post-scan.

  • Motion Artifact Reduction

    During MRI scan procedure (single time point).

Study Arms (1)

1

Pediatric patients who were undergoing MRE examination for abdominal pain

Other: Accelerated MRI scanning

Interventions

All patients underwent MRI scans of the abdominal and pelvic regions on the uMR 790 scanner at Tongji Hospital's Optical Valley Campus. The scanning protocol included multiplanar ACS T2WI sequences, TACS T2WI sequences, and conventional T2WI sequences. ACS T2WI sequence: Used for preliminary motion artifact correction. TACS T2WI sequence: Employed for advanced motion artifact correction and provided dynamic images of organ movement. Conventional T2WI sequence: Served as the standard reference for comparison.

1

Eligibility Criteria

Age3 Years - 18 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodNon-Probability Sample
Study Population

The study population consists of pediatric patients aged 3-18 years presenting with abdominal pain who have undergone a prior abdominal CT examination as part of their clinical evaluation. Eligible participants must have guardians who voluntarily consent to an additional MRI scan and provide written informed consent.

You may qualify if:

  • 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.

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Tongji Hospital

Wuhan, Hubei, 430030, China

Location

Related Publications (12)

  • Liu H, Deng D, Zeng W, Huang Y, Zheng C, Li X, Li H, Xie C, He H, Xu G. AI-assisted compressed sensing and parallel imaging sequences for MRI of patients with nasopharyngeal carcinoma: comparison of their capabilities in terms of examination time and image quality. Eur Radiol. 2023 Nov;33(11):7686-7696. doi: 10.1007/s00330-023-09742-6. Epub 2023 May 23.

  • Sui H, Gong Y, Liu L, Lv Z, Zhang Y, Dai Y, Mo Z. Comparison of Artificial Intelligence-Assisted Compressed Sensing (ACS) and Routine Two-Dimensional Sequences on Lumbar Spine Imaging. J Pain Res. 2023 Jan 28;16:257-267. doi: 10.2147/JPR.S388219. eCollection 2023.

  • Ni M, He M, Yang Y, Wen X, Zhao Y, Gao L, Yan R, Xu J, Zhang Y, Chen W, Jiang C, Li Y, Zhao Q, Wu P, Li C, Qu J, Yuan H. Application research of AI-assisted compressed sensing technology in MRI scanning of the knee joint: 3D-MRI perspective. Eur Radiol. 2024 May;34(5):3046-3058. doi: 10.1007/s00330-023-10368-x. Epub 2023 Nov 7.

  • Wang Q, Zhao W, Xing X, Wang Y, Xin P, Chen Y, Zhu Y, Xu J, Zhao Q, Yuan H, Lang N. Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study. Eur Radiol. 2023 Dec;33(12):8585-8596. doi: 10.1007/s00330-023-09823-6. Epub 2023 Jun 29.

  • Wessling D, Herrmann J, Afat S, Nickel D, Almansour H, Keller G, Othman AE, Brendlin AS, Gassenmaier S. Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging. Diagnostics (Basel). 2022 Sep 29;12(10):2370. doi: 10.3390/diagnostics12102370.

  • Chang PT, Yang E, Swenson DW, Lee EY. Pediatric Emergency Magnetic Resonance Imaging: Current Indications, Techniques, and Clinical Applications. Magn Reson Imaging Clin N Am. 2016 May;24(2):449-80. doi: 10.1016/j.mric.2015.11.009. Epub 2016 Feb 22.

  • Ata NA, Trout AT, Dillman JR, Tkach JA, Ayyala RS. Technical and Diagnostic Performance of Rapid MRI for Evaluation of Appendicitis in a Pediatric Emergency Department. Acad Radiol. 2024 Mar;31(3):1102-1110. doi: 10.1016/j.acra.2023.09.040. Epub 2023 Oct 19.

  • Sardar P, White CJ. Chronic mesenteric ischemia: Diagnosis and management. Prog Cardiovasc Dis. 2021 Mar-Apr;65:71-75. doi: 10.1016/j.pcad.2021.03.002. Epub 2021 Apr 24.

  • Gans SL, Pols MA, Stoker J, Boermeester MA; expert steering group. Guideline for the diagnostic pathway in patients with acute abdominal pain. Dig Surg. 2015;32(1):23-31. doi: 10.1159/000371583. Epub 2015 Jan 28.

  • Durgun Y, Yurumez Y, Guner NG, Aslan N, Durmus E, Kahraman Y. Abdominal Pain Management and Point-of-care Ultrasound in the Emergency Department: A Randomised, Prospective, Controlled Study. J Coll Physicians Surg Pak. 2022 Oct;32(10):1260-1265. doi: 10.29271/jcpsp.2022.10.1260.

  • Murphy LK, Suskind DL, Qu P, Zhou C, Gashi K, Kawamura JS, Palermo TM; ImproveCareNow Pediatric IBD Learning Health System, as stipulated by ICN. Abdominal Pain After Pediatric Inflammatory Bowel Disease Diagnosis: Results From the ImproveCareNow Network. J Pediatr Gastroenterol Nutr. 2020 Dec;71(6):749-754. doi: 10.1097/MPG.0000000000002933.

  • Smith J, Fox SM. Pediatric Abdominal Pain: An Emergency Medicine Perspective. Emerg Med Clin North Am. 2016 May;34(2):341-61. doi: 10.1016/j.emc.2015.12.010.

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
3 Months
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

September 2, 2025

First Posted

September 10, 2025

Study Start

May 26, 2025

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2027

Last Updated

September 10, 2025

Record last verified: 2025-09

Locations