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Neurophenotype Predicts CD Disease Progression
Sponsor: First Affiliated Hospital, Sun Yat-Sen University
Summary
The goal of this observational study is aimed to develop a novel multimodal neuroimaging-based model to characterize the neurophenotype of Crohn's Disease patients and assess its ability for predicting disease progression, using multiomics data to interpret the model. Participants will be followed-up of at least six months for patients without disease progression to assess the relationship between neurophenotype and intestinal outcomes.
Official title: Multimodal MRI-based Neurophenotype Reflecting Brain-gut Interactions to Predict Intestinal Disease Progression in Patients With Crohn's Disease
Key Details
Gender
All
Age Range
18 Years - 45 Years
Study Type
OBSERVATIONAL
Enrollment
500
Start Date
2021-05-01
Completion Date
2025-06-01
Last Updated
2024-06-11
Healthy Volunteers
Yes
Conditions
Interventions
Logistic regression (LR) prediction models
Logistic regression model was used to establish a model to distinguish different levels of intestinal inflammation.
Locations (1)
XploreMET v3.0 system
Shanghai, China