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Predicting Cerebral Palsy in Infants With White Matter Injury Using MRI
Sponsor: First Affiliated Hospital Xi'an Jiaotong University
Summary
The goal of this study is to determin the MRI features associated with cerebral palsy and to develop prediction models of pediatric disorders by combining MRI with artificial intelligence. The main questions it aims to answer are: * How to achieve features on conventional MRI associated with cerebral palsy? * How to predict the risk of cerebral palsy in infants aged 6 to 2 years based on conventional MRI and deep learning? Researchers will compare characteristics of periventricular white matter injury with cerebral palsy to those without cerebral palsy. Participants will be asked to provide MRI data, clinical diagnoses information, and follow-up outcomes.
Official title: Early Prediction of Cerebral Palsy by MRI in Infants With White Matter Injury: a Multicenter Study
Key Details
Gender
All
Age Range
6 Months - 2 Years
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2024-09-01
Completion Date
2025-12-31
Last Updated
2024-09-19
Healthy Volunteers
Yes
Interventions
No intervention will be performed in this cohort study
Deep learning classification models will be used for automatic prediction of cerebral palsy. Machines will be used to assist doctors in cerebral palsy risk evaluation.
Locations (1)
The First Affiliated Hospital of Xi'an Jiaotong University
Xi'an, Shaanxi, China