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An Australian population study of factors associated with MRI patterns in cerebral palsy
Author(s) -
Reid Susan M,
Dagia Charuta D,
Ditchfield Michael R,
Carlin John B,
Meehan Elaine M,
Reddihough Dinah S
Publication year - 2014
Publication title -
developmental medicine and child neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.658
H-Index - 143
eISSN - 1469-8749
pISSN - 0012-1622
DOI - 10.1111/dmcn.12331
Subject(s) - cerebral palsy , medicine , magnetic resonance imaging , population , grey matter , white matter , pediatrics , apgar score , gestation , gestational age , pregnancy , radiology , biology , physical therapy , genetics , environmental health
Aim The aim of this study was to describe the distribution of magnetic resonance imaging ( MRI ) patterns in a large population sample of children with cerebral palsy ( CP ) and to examine associations between MRI patterns, and antenatal and perinatal variables. Method Data were retrieved from the Victorian CP Register for 884 children (527 males, 357 females) born between 1999 and 2006. Postneonatal MRI was classified for 594 children. For 563 children (329 males, 234 females) for whom classification was to a single MRI pattern, the frequency of each variable was compared between patterns and with the population frequency. Results White matter injury was the most common MRI pattern (45%), followed by grey matter injury (14%), normal imaging (13%), malformations (10%), focal vascular insults (9%), and miscellaneous patterns (7%). Parity, birth gestation, level of neonatal care, Apgar score, and time to established respiration varied between MRI patterns ( p <0.01). Nulliparity was most strongly associated with focal vascular insults, whereas multiparity was associated only with malformations. Grey matter injury was not associated with birth in a tertiary unit, but was strongly associated with severe perinatal compromise. The frequency of neonatal seizures and of nursery admissions was lowest among children with malformations. Interpretation As known risk factors for CP are differentially associated with specific MRI patterns, future exploration of causal pathways might be facilitated when performed in pathogenically defined groups.