DEVELOPMENTAL MEDICINE & CHILD NEUROLOGY
ORIGINAL ARTICLE
An Australian population study of factors associated with MRI patterns in cerebral palsy SUSAN M REID 1,2
| CHARUTA D DAGIA 3 | MICHAEL R DITCHFIELD 4 | JOHN B CARLIN 2,5 | ELAINE M MEEHAN 1 | DINAH S REDDIHOUGH 1,2,6 1 Developmental Disability and Rehabilitation Research, Murdoch Childrens Research Institute, Melbourne; 2 Department of Paediatrics, University of Melbourne, Melbourne; 3 Department of Medical Imaging, Royal Children’s Hospital, Melbourne; 4 Department of Diagnostic Imaging, Monash Children’s Hospital, Melbourne; 5 Clinical Epidemiology and Biostatistics Unit, Murdoch Childrens Research Institute, Melbourne; 6 Department of Developmental Medicine, Royal Children’s Hospital, Melbourne, Vic., Australia. Correspondence to Dr Sue Reid, Developmental Disability and Rehabilitation Research, Murdoch Childrens Research Institute, Flemington Road, Parkville, Victoria 3052, Australia. E-mail: [email protected]
PUBLICATION DATA
Accepted for publication 17th September 2013. Published online 8th November 2013 ABBREVIATIONS
GMI LGA NICU SCN SGA WMI
Grey matter injury Large for gestational age Neonatal intensive care unit Special care nursery Small for gestational age White matter injury
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
ORIGINAL ARTICLE
An Australian population study of factors associated with MRI patterns in cerebral palsy SUSAN M REID 1,2
| CHARUTA D DAGIA 3 | MICHAEL R DITCHFIELD 4 | JOHN B CARLIN 2,5 | ELAINE M MEEHAN 1 | DINAH S REDDIHOUGH 1,2,6 1 Developmental Disability and Rehabilitation Research, Murdoch Childrens Research Institute, Melbourne; 2 Department of Paediatrics, University of Melbourne, Melbourne; 3 Department of Medical Imaging, Royal Children’s Hospital, Melbourne; 4 Department of Diagnostic Imaging, Monash Children’s Hospital, Melbourne; 5 Clinical Epidemiology and Biostatistics Unit, Murdoch Childrens Research Institute, Melbourne; 6 Department of Developmental Medicine, Royal Children’s Hospital, Melbourne, Vic., Australia. Correspondence to Dr Sue Reid, Developmental Disability and Rehabilitation Research, Murdoch Childrens Research Institute, Flemington Road, Parkville, Victoria 3052, Australia. E-mail: [email protected]
PUBLICATION DATA
Accepted for publication 17th September 2013. Published online 8th November 2013 ABBREVIATIONS
GMI LGA NICU SCN SGA WMI
Grey matter injury Large for gestational age Neonatal intensive care unit Special care nursery Small for gestational age White matter injury
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
