A Hospital-based Observational Study on the Characterization and Correlation of Magnetic Resonance Imaging Patterns with Clinical Findings on Cerebral Palsy
Journal Title: International Journal of Contemporary Medicine surgery and Radiology - Year 2018, Vol 3, Issue 4
Abstract
Introduction: Evidence suggests that the diagnosis of cerebral palsy complemented by magnetic resonance imaging (MRI) has potential to differentiate changes in the various types of cerebral palsy, especially the pathologic conditions. This study explored the MRI patterns in children with cerebral palsy and their association with clinical findings. Material and methods: The observational study included a total of 200 children clinically diagnosed with cerebral palsy using MRI brain scan from January 2014 to December 2014. The process of imaging was preceded by demographic data collection (age and sex) along with birth and maternal history. Data collected were coded in Microsoft Excel Worksheet. However, the continuous data were expressed in terms of mean ± standard deviation (SD). Results: The clinical characteristics revealed quadriplegia and diplegia in 26.5% and 25% of the children, respectively. Spastic cerebral palsy was noted in majority of the children (64%) with most of the children diagnosed with spastic diplegia (24.5%) followed by spastic quadriplegia (23%). MRI brain scan revealed 29.50% of the children with posterior involvement and most common MRI finding was periventricular white matter (47%). Some of the other findings were porencephalic cysts (14%) and myelination (11.5%). Periventricular leukomalacia (38%) was the common diagnosis on MRI scanning followed by cystic degeneration, and basal ganglia involvement (11.5% each). The MRI diagnosis correlated well with clinical diagnosis (80.5%). Conclusion: MRI is a useful diagnostic tool, which helps to detect pathologic abnormalities in patients with cerebral palsy and correlates well with clinical diagnosis.
Authors and Affiliations
Muthiah Muthu Magesh, V. V. Hattiholi, Mahesh Kamate
Keywords
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- EP ID EP472513
- DOI 10.21276/ijcmsr.2018.3.4.26
- Views 104
- Downloads 0
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