Predicting Cerebral Palsy in Infants With White Matter Injury Using MRI

NCT06575283 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-09-19

No results posted yet for this study

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.

Conditions

  • Cerebral Palsy
  • Periventricular White Matter Abnormalities

Interventions

OTHER

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.

Sponsors & Collaborators

  • The First Affiliated Hospital of Henan University of Traditional Chinese Medicine

    collaborator OTHER
  • Shenzhen Children's Hospital

    collaborator OTHER_GOV
  • Zunyi Medical College

    collaborator OTHER
  • Wuxi Women's & Children's Hospital

    collaborator OTHER
  • Shanxi Provincial Maternity and Children's Hospital

    collaborator OTHER
  • Chengdu Medical College

    collaborator OTHER
  • First Affiliated Hospital of Xinjiang Medical University

    collaborator OTHER
  • Baoji Central Hospital

    collaborator OTHER
  • Xian Children's Hospital

    collaborator OTHER_GOV
  • Guangzhou Women and Children's Medical Center

    collaborator OTHER
  • Third Affiliated Hospital of Zhengzhou University

    collaborator OTHER
  • Henan Provincial People's Hospital

    collaborator OTHER
  • First Affiliated Hospital Xi'an Jiaotong University

    lead OTHER

Principal Investigators

  • Jian Yang, Ph.D.,M.D · First Affiliated Hospital Xi'an Jiaotong University

Eligibility

Min Age
6 Months
Max Age
2 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-09-01
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06575283 on ClinicalTrials.gov