Pediatric Abdominal PainIA-MRINCT07164651
Intelligent Accelerated MRI for Pediatric Abdominal Pain
An observational study of Pediatric Abdominal Pain, run by Yaqi Shen，MD，PhD at 1 site in China.
Trial 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… Read more about this study
- Who is it for?
- Ages 3 to 18 yearsHealthy volunteers can take part
- Conditions the study is for
- Pediatric Abdominal Pain
- What is being tested?
- Accelerated MRI scanning
- How many people
- 150 participants
- Where
- 1 siteChina
- Study dates
- 30 Oct 2024to 31 Dec 2027
- How long will I take part?
- 3 Months
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 3 to 18 years
- All sexes
- Healthy volunteers accepted
- Child, Adult
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.
Who may be able to join
- 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.
Who cannot join
- Children with contraindications to MRI (e.g., metal implants, severe claustrophobia) or those unable to cooperate with the examination.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Prospective Application Study of Intelligent Accelerated Magnetic Resonance Imaging in Children With Abdominal Pain
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.
Read the detailed 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.
- Conditions
- Pediatric Abdominal Pain
- Being tested
- Accelerated MRI scanning
- Keywords
- Pediatric abdominal pain, Intelligent accelerated MRI, Image quality, Diagnostic accuracy, Motion artifacts
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Accelerated MRI scanningOther
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.
| Study group | Role | What they receive |
|---|---|---|
| 1 | Pediatric patients who were undergoing MRE examination for abdominal pain Receives: Other: Accelerated MRI scanning |
What is being measured
The primary outcome is the main question the study is designed to answer.
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).
Measured: During MRI scan procedure (single time point).
Secondary outcomes (2)
Diagnostic Accuracy of Accelerated MRI
Diagnostic concordance rate (%) between intelligent accelerated MRI and conventional MRI for identifying causes of abdominal pain (e.g., appendicitis, bowel obstruction), validated against final clinical/histopathological diagnoses.
Measured: Within 24 hours post-scan.
Motion Artifact Reduction
Quantitative evaluation of motion artifacts in accelerated MRI scans (ACS-T2WI and TACS-T2WI) compared to conventional T2WI, scored by two blinded radiologists using a 4-point scale (1 = severe artifacts; 4 = minimal/no artifacts).
Measured: During MRI scan procedure (single time point).
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Sep 2025
- Study start30 Oct 2024
- Primary completion31 Dec 2026 (estimated)
- Study completion31 Dec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (12)Papers the sponsor has linked to this study.
- Other trials for Pediatric Abdominal PainStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 150 participants (estimated)
- Target duration
- 3 Months
Sponsor and investigators
- Lead sponsor
- Yaqi Shen，MD，PhD
- Sponsor type
- University, hospital or other
- Collaborators
- United Imaging Healthcare
- Responsible party
- Sponsor-investigator, Yaqi Shen，MD，PhD, Tongji Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07164651
- Sponsor's protocol ID
- TJ-IRB202410027
- Other IDs
- 82471969
- Acronym
- IA-MRI
- Status last verified
- Oct 2025
- First submitted
- 2 Sep 2025
- Last updated
- 29 Sep 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
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.
PubMed 37219618Sui 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.
PubMed 36744117Ni 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.
PubMed 37932390Wang 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.
PubMed 37382615Wessling 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.
PubMed 36292057Chang 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.
PubMed 27150329Ata 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.
PubMed 37863782Sardar 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.
PubMed 33901516Gans 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.
PubMed 25659265Durgun 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.
PubMed 36205268Murphy 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.
PubMed 32910089Smith 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.
PubMed 27133248
Study at a glance
From the registry record, last updated by the sponsor on 29 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Prospective Application Study of Intelligent Accelerated Magnetic Resonance Imaging in Children With Abdominal Pain
- ClinicalTrials.gov ID
- NCT07164651
- Acronym / sponsor ID
- IA-MRI / TJ-IRB202410027
- Conditions
- Pediatric Abdominal Pain
- Keywords
- Pediatric abdominal pain, Intelligent accelerated MRI, Image quality, Diagnostic accuracy, Motion artifacts
- Study type
- Observational
- Recruitment status
- Enrolling by invitation
- Enrolment
- 150 participants (estimated)
- Lead sponsor
- Yaqi Shen，MD，PhDUniversity, hospital or other
- Collaborators
- United Imaging Healthcare
- Study start
- 30 Oct 2024 (actual)
- Primary completion
- 31 Dec 2026 (estimated)
- Study completion
- 31 Dec 2027 (estimated)
- First posted
- 10 Sep 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed 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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 3 Months
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| 1 | – | Other: Accelerated MRI scanningPediatric patients who were undergoing MRE examination for abdominal pain |
Who may qualify
- Ages
- 3 to 18 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult
- 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.
Key inclusion criteria (2 listed)
- 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.
Key exclusion criteria (1 listed)
- Children with contraindications to MRI (e.g., metal implants, severe claustrophobia) or those unable to cooperate with the examination.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Accelerated MRI scanningAll 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. | Other | 1 |
Primary outcome
Scan Time Reduction with Intelligent Accelerated MRI
Time frame: During MRI scan procedure (single time point).
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).
2 secondary outcomes
Diagnostic Accuracy of Accelerated MRI
Time frame: Within 24 hours post-scan.
Motion Artifact Reduction
Time frame: During MRI scan procedure (single time point).
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 Sep 2026.
- Results publication: PubMed 37219618Liu 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.
- Results publication: PubMed 36744117Sui 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.
- Results publication: PubMed 37932390Ni 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.
- Results publication: PubMed 37382615Wang 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.
- Results publication: PubMed 36292057Wessling 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.
- Results publication: PubMed 27150329Chang 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.
- Results publication: PubMed 37863782Ata 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.
- Results publication: PubMed 33901516Sardar 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.
- Results publication: PubMed 25659265Gans 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.
- Results publication: PubMed 36205268Durgun 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.
- Results publication: PubMed 32910089Murphy 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.
- Results publication: PubMed 27133248Smith 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.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Pediatric Abdominal Pain, run by Yaqi Shen，MD，PhD at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 29 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Scan Time Reduction with Intelligent Accelerated MRI (time frame: During MRI scan procedure (single time point).). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07164651, which also lists 12 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Sep 2026.