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MRI classification system (MRICS) for children with cerebral palsy: development, reliability, and recommendations.
- Source :
-
Developmental medicine and child neurology [Dev Med Child Neurol] 2017 Jan; Vol. 59 (1), pp. 57-64. Date of Electronic Publication: 2016 Jun 21. - Publication Year :
- 2017
-
Abstract
- Aim: To develop and evaluate a classification system for magnetic resonance imaging (MRI) findings of children with cerebral palsy (CP) that can be used in CP registers.<br />Method: The classification system was based on pathogenic patterns occurring in different periods of brain development. The MRI classification system (MRICS) consists of five main groups: maldevelopments, predominant white matter injury, predominant grey matter injury, miscellaneous, and normal findings. A detailed manual for the descriptions of these patterns was developed, including test cases (www.scpenetwork.eu/en/my-scpe/rtm/neuroimaging/cp-neuroimaging/). A literature review was performed and MRICS was compared with other classification systems. An exercise was carried out to check applicability and interrater reliability. Professionals working with children with CP or in CP registers were invited to participate in the exercise and chose to classify either 18 MRIs or MRI reports of children with CP.<br />Results: Classification systems in the literature were compatible with MRICS and harmonization possible. Interrater reliability was found to be good overall (k=0.69; 0.54-0.82) among the 41 participants and very good (k=0.81; 0.74-0.92) using the classification based on imaging reports.<br />Interpretation: Surveillance of Cerebral Palsy in Europe (SCPE) proposes the MRICS as a reliable tool. Together with its manual it is simple to apply for CP registers.<br /> (© 2016 Mac Keith Press.)
- Subjects :
- Brain embryology
Brain growth & development
Cerebral Palsy physiopathology
Child
Child, Preschool
Databases, Bibliographic statistics & numerical data
Female
Humans
Image Processing, Computer-Assisted
Male
Registries
Reproducibility of Results
Severity of Illness Index
Brain diagnostic imaging
Cerebral Palsy classification
Cerebral Palsy diagnostic imaging
Magnetic Resonance Imaging methods
Subjects
Details
- Language :
- English
- ISSN :
- 1469-8749
- Volume :
- 59
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Developmental medicine and child neurology
- Publication Type :
- Academic Journal
- Accession number :
- 27325153
- Full Text :
- https://doi.org/10.1111/dmcn.13166