NCT06575283

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

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Sep 2024

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 26, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

August 28, 2024

Completed
4 days until next milestone

Study Start

First participant enrolled

September 1, 2024

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2025

Completed
Last Updated

September 19, 2024

Status Verified

August 1, 2024

Enrollment Period

1.3 years

First QC Date

August 26, 2024

Last Update Submit

September 4, 2024

Conditions

Keywords

Cerebral palsyPeriventricular white matter injuryMRIDeep learning

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.

Other: No intervention will be performed in this cohort study

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.

PVWMI Infants aged 6 months to 2 years

Eligibility Criteria

Age6 Months - 2 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17)
Sampling MethodNon-Probability Sample
Study Population

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

Study Sites (1)

The First Affiliated Hospital of Xi'an Jiaotong University

Xi'an, Shaanxi, China

Location

MeSH Terms

Conditions

Cerebral Palsy

Condition Hierarchy (Ancestors)

Brain Damage, ChronicBrain DiseasesCentral Nervous System DiseasesNervous System Diseases

Study Officials

  • Jian Yang, Ph.D.,M.D

    First Affiliated Hospital Xi'an Jiaotong University

    STUDY DIRECTOR

Central Study Contacts

Yitong Bian, MD

CONTACT

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

The data will be available from the corresponding author upon reasonable request.

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.

Locations