Intelligent Accelerated MRI for Pediatric Abdominal Pain
NCT ID: NCT07164651
Last Updated: 2025-09-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
150 participants
OBSERVATIONAL
2025-05-26
2027-12-31
Brief Summary
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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.
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Detailed Description
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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.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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1
Pediatric patients who were undergoing MRE examination for abdominal pain
Accelerated MRI scanning
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.
Interventions
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Accelerated MRI scanning
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.
Eligibility Criteria
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Inclusion Criteria
* Children whose guardians voluntarily agree to MRI examination and sign written informed consent.
Exclusion Criteria
3 Years
18 Years
ALL
Yes
Sponsors
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United Imaging Healthcare
UNKNOWN
Yaqi Shen，MD，PhD
OTHER
Responsible Party
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Yaqi Shen，MD，PhD
Professor
Locations
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Tongji Hospital
Wuhan, Hubei, China
Countries
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References
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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.
Other Identifiers
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82471969
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
TJ-IRB202410027
Identifier Type: -
Identifier Source: org_study_id
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