Population-based study of neuroimaging findings in children with cerebral palsy
Kayle Towsley1, Michael I Shevell, Lynn Dagenais
1Division of Pediatric Neurology, Montreal Children's Hospital-McGill University Health Center, Montreal, Quebec, Canada.
Insights
Neuroimaging reveals common cerebral abnormalities in children with cerebral palsy (CP). Specific imaging patterns correlate with CP subtypes and severity, aiding diagnosis.
Area of Science:
- Pediatric Neurology
- Neuroimaging Research
- Cerebral Palsy Studies
Background:
- Neuroimaging is a standard diagnostic tool for children with cerebral palsy (CP).
- This study investigates cerebral radiologic abnormalities in a population-based CP registry.
Observation:
- Eighty-seven percent of children with CP showed documented cerebral abnormalities.
- Common findings include periventricular white matter injury, diffuse gray matter injury, cerebral vascular accident, and cerebral malformations.
Findings:
- Specific neuroimaging patterns are associated with different CP subtypes and severity levels (GMFCS).
- Gray matter injury linked to severe CP; cerebral vascular accident to spastic hemiplegic CP; normal/non-specific findings to dyskinetic and spastic diplegic CP.
Implications:
- Neuroimaging findings can help differentiate CP subtypes and predict severity.
- These associations can refine diagnostic and prognostic approaches for pediatric cerebral palsy.
Background:
Neuroimaging is currently recommended as a standard evaluation in children with cerebral palsy (CP).
Aims:
Utilizing imaging findings from a population-based registry (REPACQ), the frequency and proportion of cerebral radiologic abnormalities in children CP over a four year birth cohort was investigated.
Methods:
Descriptions of CT and MRI studies were extracted from the Registry dataset and classified into 10 distinct categories.
Results:
Two hundred and thirteen children had imaging available (119 males, 94 females, mean age of 44 months [SD. ± 14 months] at Registry inscription). Eighty seven percent of participants had documented cerebral abnormalities, the most common of which were periventricular white matter injury (PVWMI) (19.2%), diffuse gray matter injury (14.6%), cerebral vascular accident (CVA) (11.7%), and cerebral malformation (11.3%). Also, 18.8% of participants had non-specific radiologic findings and 13.1% of participants had normal imaging results. Severe CP (i.e. GMFCS Level IV-V) and spastic quadriplegic CP were significantly associated with the neuroimaging findings of gray matter injury, while spastic hemiplegic CP was association with CVA, and dyskinetic and spastic diplegic CP were both associated with normal and non-specific neuroimaging findings.
Conclusions:
Specific patterns of neuroimaging findings in children with CP were found to be associated with neurological subtype, CP severity (i.e. GMFCS Level) and other categorical variables.
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