The usefulness of MRI Classification System (MRICS) in a cerebral palsy cohort

Acta Paediatr. 2020 Dec;109(12):2783-2788. doi: 10.1111/apa.15280. Epub 2020 Apr 29.

Abstract

Aim: Our aim was to investigate perinatal and clinical factors associated with children with cerebral palsy (CP) using magnetic resonance imaging (MRI). The distribution of MRI patterns was based on the MRI classification system (MRICS). Associations between perinatal/clinical characteristics and MRI patterns were also investigated.

Methods: A population-based cohort study was performed; those 257 children (58.0% male) were enrolled from our CP database who born between 1990 and 2015 in Southwest Hungary and had at least one MRI scan.

Results: Brain maldevelopments were found in 18.7% of our patients, 83.7% of those born at term. Grey matter lesions were found in 19.8% of our patients, and 80.0% of those children were born at term. The rate of white matter injuries was the highest (35.4%); 69.0% of these patients were born before 37th week of gestation. MRI revealed no abnormalities in 13.6% of children with CP. The best values of gross/fine motor and cognitive function tests were found in children with normal MRI and with grey matter injuries. The prevalence of epilepsy was above 60% in every group with an abnormal MRI.

Conclusion: MRI results were conclusive in 86.4% of children with CP. It is highly encouraged to perform cranial MRI in every patient with CP.

Keywords: brain magnetic resonance imaging; cerebral palsy; cognitive function; epilepsy; motor function.

MeSH terms

  • Brain / diagnostic imaging
  • Cerebral Palsy* / diagnostic imaging
  • Cerebral Palsy* / epidemiology
  • Child
  • Cohort Studies
  • Female
  • Gray Matter
  • Humans
  • Hungary
  • Magnetic Resonance Imaging
  • Male
  • Pregnancy