ClinicalTrials.gov
Cure8 trial brief
Why This Matters
AI models that combine CTE/MRE imaging with clinical and molecular data could improve objective classification of small-bowel Crohn's disease and help predict which patients are likely to respond to medical therapy versus require treatment changes or surgery.
Who Should Pay Attention
Clinicians and radiologists who evaluate small-bowel Crohn's disease, researchers in medical imaging and AI, and adult patients with small-bowel Crohn's disease interested in prognostic tools.
Study Snapshot
Story typeClinical Reference
Evidence typeClinical trial
Enrollment437 participants
Study statusCompleted
Source depthTrial registry record
What To Know
This ClinicalTrials.gov record describes a completed retrospective observational study (N=437) from Shanghai Tenth People's Hospital that developed and evaluated an AI-based multimodal model using existing CTE/MRE images plus clinical, endoscopic, pathological, and molecular data to classify small-bowel Crohn's disease and predict 12-month clinical outcomes (effective medical treatment, treatment failure/switching, or Crohn's related surgery).
The entry reports that the study applied interactive AI image segmentation to quantify bowel lesions (segment number/length, wall thickness/enhancement, luminal narrowing, prestenotic dilatation, inflammatory vs fibrotic stricture features, creeping fat, comb sign, internal fistulas, abscesses) and integrated these imaging features with clinical and molecular data to build and test predictive models.
Outcome discrimination will be measured by AUC, sensitivity, and specificity for 12-month outcomes. The record is a trial registry entry (trial-record structured depth) and does not present peer-reviewed results in this text; it documents study design, planned analyses, and primary outcome measures.
Keep In Mind
This is a ClinicalTrials.gov trial record describing a retrospective observational study and its planned analyses and outcomes. The registry text does not report peer-reviewed results; any reported predictive performance (AUC, sensitivity, specificity) would need to be confirmed in the published study or independent validation.
Source Details
Review the original publication for the complete reporting, methods, and context.
Clinical trial
Evidence type derived from source or registry metadata.
PublicationClinicalTrials.gov
SponsorShanghai 10th People's Hospital
Trial IDNCT07757217
Study typeObservational
Enrollment437 participants
Indexed viaClinicalTrials.gov
Source typeTrial registry record
PublishedAug 11, 2026, 12:00 AM
Content availableTrial registry record
This Cure8 brief is based on source text from the linked article. Cure8 is informational only and is not a substitute for professional medical advice, diagnosis, or treatment.
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