School-aged Outcomes Post Hypoxic Ischaemic Encephalopathy
Condition(s) studied
Study summary
Neonatal HIE increases the risk for cognitive impairments in childhood. Neonatal MRI brain scans are a strong predictor for outcome, however a normal scan has only a 35% sensitivity and 85% specificity for a normal outcome. This may be explained by variability in the brain's development over time in response to the initial insult.
This project will aim to develop a neonatal MRI machine learning algorithm that incorporates both initial injury and radiomic features associated with future brain development (based on school-age MRI) to predict school-age outcome. This will be achieved by conducting a case-control cohort study looking at School-age MRI and outcomes of children with a history of neonatal HIE.
Eligibility
Primary outcome measure(s)
- Intelligence Quotient — Visit 1 - Approx 1.5 hours, aged 5-12 years old
Kaufman Brief Intelligence Test Second Edition (KBIT-2) is a brief measure of verbal and nonverbal intelligence used with individuals aged from 4 to 90 years. - Assessment of Exectuive Function — Visit 1 - Approx 1.5 hours, aged 5-12 years old
Cambridge Neuropsychological Test Automated Battery (CANTAB) will be used to assess the following domains: Visual Memory- Delayed Match to Sample (DMS) Working memory- Spatial Working Memory Task (SWM), Spatial Span Task (SSP), Digit Span Task (DGS) Attention/processing speed- Reaction Time Task (RTI), Rapid Visual Processing Task (RVP), Motor Screening Task (MOT) Inhibitory control- Stop Signal Task (SST) - Volumetric analysis of MRI brain — Visit 2 - 20 minute MRI scan, approximately 2-4 months after Visit 1
Total and regional brain volumetric analysis - Connectivity analysis of MRI brain — Visit 2 - 20 minute MRI scan, approximately 2-4 months after Visit 1
Analysis of brain connectivity using diffusion tensor data and fransctional anisotopy imaging. - MRI Machine Learning Model — Visit 2 - 20 minute MRI scan, approximately 2-4 months after Visit 1
Using MRIs completed at school-age and neonatal data, extract radiomic features and ragions of interest (ROIs) to develop machine learning models to predict school-aged cognitive outcome.
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| University College Cork | Cork | Cork |
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This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07770035 on ClinicalTrials.gov ↗ ← All trials in Ireland