AI Tool Reads MR Scans to Detect Scarring in Crohn's Disease
Tests an AI tool on MR scans to find bowel scarring in Crohn's disease.
Key facts
- Who runs it
- Minhu Chen
- Where
- Guangzhou, Hangzhou, Huangpu, and Nanjing, ChinaSee the 5 sites
- Trial code
- Registry title
- AI-Assisted MRE for Intestinal Fibrosis in Crohn's Disease
- Status
- Recruiting
- People taking part
- 234 people, planned
- Started
- 3 Jun 2025
- Expected to end
- 28 Feb 2027
- Type of study
- Observational, 2 groups
- Record updated
- 5 August 2025
Who can take part
AI summary
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults with Crohn's disease who are planning bowel surgery because of a narrowing of the small or large bowel. Their MRE scans will be used to study scarring of the bowel wall.
- Age
- 18 Years to 75 Years
- Sex
- All sexes can join.
- Disease stage
- Confirmed Crohn's disease with a narrowing (stricture) in the ileum or colon, for which bowel resection is planned.
Main reasons for not taking part
- Cannot have an MRI examination
- Tissue from the bowel is difficult to obtain after surgery
- MRE images are of poor quality or contain artifacts
- The narrowing is at a surgical join (anastomosis) in the bowel
- Bowel damage that occurs together with other diseases
The registry criteria, word for word
Show all 8 criteriaShow less
Who can take part
- Patients Over 18 years old with a confirmed diagnosis of CD based on the criteria of ECCO guideline
- Planning to receive a bowel resection due to stricture in ileum or colon, and availability of histological specimens of resected intestinal walls matched with MRE are expected to be available
- Clear boundaries of the target bowel tract enable accurate semi-automatic or fully automatic intestinal segmentation
Who cannot take part
- Difficult to obtain suitable tissue after surgery
- Intestinal lesions concurrent with other diseases
- Cannot undergo MRI examination
- MRE imaging is of poor quality or contains artifacts
- The target bowel is located at the anastomosis (ie, anastomotic stricture)
Check if you might fit
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 75 years old?
Where in China
- Sixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhou, ChinaContact: Xiang Gao, ProfessorNot yet recruiting
- The First Affiliated Hospital, Sun Yat-sen UniversityGuangzhou, ChinaContact: Minhu ChenTaking people
- Sir Run Run Shaw Hospital Zhejiang University School of MedicineHangzhou, ChinaContact: Qian Cao, ProfessorTaking people
- Ruijin Hospital, Shanghai Jiaotong University School of MedicineHuangpu, ChinaContact: Duowu Zou, ProfessorNot yet recruiting
- Jinling Hospital, Affiliated Hospital of Medical School, Nanjing UniversityNanjing, ChinaContact: Yi Li, ProfessorNot yet recruiting
About the trial
What the trial wants to find out
Intestinal fibrotic strictures represent a severe complication of Crohn's disease (CD), affecting over half of the patients. Despite the continuous emergence of novel medications, effective treatment options remain scarce. Endoscopy fails to identify the full-thickness fibrosis of the bowel wall, and standardized assessment for cross-sectional imaging has yet to be established. Previous studies have demonstrated that radiomics models based on computed tomography and deep learning models exhibit commendable diagnostic capability. Thus, this project seeks to conduct a prospective multicenter study, with plans to recruit 234 CD patients requiring bowel resection from five medical centers. The aim is to develop and validate a deep learning model based on magnetic resonance enterography (MRE) to accurately characterize intestinal fibrosis.
The 2 groups in the trial
- training group
This group of patients is used in the training phase of the predictive model to fit an appropriate model.
- validation group
This group of patients is used to validate the trained model to determine whether the model has broad applicability.
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorData and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- A Prospective, Multi-center Study to Characterize Intestinal Fibrosis in Patients With Crohn's Disease (CD) Using MR Enterography (MRE)-Based Artificial Intelligence
- Plain-language title
- AI Tool Reads MR Scans to Detect Scarring in Crohn's DiseaseGenerated from the registry record. The registry title is the official one.
- AI summary
- From the trial's eligibility criteria. Read by machine on 12 November 2026.
- Fit questions
- Built from NCT06858553, who can take part
- Record updated
- 5 August 2025