Predicting Cerebral Palsy in Infants With White Matter Injury Using MRI
Early Prediction of Cerebral Palsy by MRI in Infants With White Matter Injury: a Multicenter Study
1 other identifier
observational
1,000
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 26, 2024
CompletedFirst Posted
Study publicly available on registry
August 28, 2024
CompletedStudy Start
First participant enrolled
September 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedSeptember 19, 2024
August 1, 2024
1.3 years
August 26, 2024
September 4, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Accuracy of the model predicting cerebral palsy
Determine the accuracy of PVWMI classification and cerebral palsy prediction. The higher the value, the better the model performance.
From September 2024 to December 2025
Study Arms (1)
PVWMI Infants aged 6 months to 2 years
Infants will be scanned by MRI at the age of 6 months to 2 years. The infants of periventricular white matter injury (PVWMI) will be enrolled.
Interventions
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.
Eligibility Criteria
This study will follow up infants from multiple regions and different hospitals who underwent MRI examinations between 6 months and 2 years old. Each infant and young child included T1-weighted imaging (T1WI) and T2-weighted imaging (T2WI). According to the follow-up outcomes, these infants will be divided into the following groups: cerebral palsy, other diagnoses that did not develop into cerebral palsy, or inability to confirm the diagnosis.
You may qualify if:
- Infants and children at high risk of periventricular white matter injury (PVWMI) (gestational age \<35 weeks, birth weight \<2.6 kg, forceps-assisted delivery/fetal head attraction, Apgar score \<7, hypoglycaemia, sepsis, electrolyte disturbances, premature rupture of membranes);
- Those who underwent MRI at 6 months of age-2 years, including at least T1WI and T2WI sequences;
- Upon follow-up, the patient's clinical diagnosis: cerebral palsy, other diagnoses that did not develop into cerebral palsy, or inability to confirm the diagnosis).
You may not qualify if:
- Incomplete MRI images or unreadable images due to motion artefacts;
- Incomplete neurobehavioural assessment data (including: gross motor function).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- First Affiliated Hospital Xi'an Jiaotong Universitylead
- The First Affiliated Hospital of Henan University of Traditional Chinese Medicinecollaborator
- Shenzhen Children's Hospitalcollaborator
- Zunyi Medical Collegecollaborator
- Wuxi Women's & Children's Hospitalcollaborator
- Shanxi Provincial Maternity and Children's Hospitalcollaborator
- Chengdu Medical Collegecollaborator
- First Affiliated Hospital of Xinjiang Medical Universitycollaborator
- Baoji Central Hospitalcollaborator
- Xian Children's Hospitalcollaborator
- Guangzhou Women and Children's Medical Centercollaborator
- Third Affiliated Hospital of Zhengzhou Universitycollaborator
- Henan Provincial People's Hospitalcollaborator
Study Sites (1)
The First Affiliated Hospital of Xi'an Jiaotong University
Xi'an, Shaanxi, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Jian Yang, Ph.D.,M.D
First Affiliated Hospital Xi'an Jiaotong University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 26, 2024
First Posted
August 28, 2024
Study Start
September 1, 2024
Primary Completion
December 31, 2025
Study Completion
December 31, 2025
Last Updated
September 19, 2024
Record last verified: 2024-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- The data will be available after the paper published.
- Access Criteria
- The data can be used just for research purpose. Users can contact to the corresponding author through e-mail.
The data will be available from the corresponding author upon reasonable request.