Correlating Clinical Features with EEG findings and Neuroimaging (MRI) abnormalities in Children with Seizure disorder
Journal Title: IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) - Year 2017, Vol 16, Issue 10
Abstract
BACKGROUND: Seizure disorder is one of the most common treatable neurological disorders of brain.The essential diagnostic evaluation for unprovoked seizure remains source of debate. Only few studies have evaluated the utility of EEG (Electroencephalogram) and Neuroimaging in seizure disorder in clinical practice. OBJECTIVE: To determine correlation between clinical features, EEG findings and neuroimaging (MRIMagnetic Resonance Imaging) abnormalities in children with seizure disorder. MATERIAL AND METHODS: It is cross sectional, non-interventional, observational study carried out from March 2014 to May 2015. We enrolled children diagnosed with seizure disorder, following in pediatric outpatient department as well as patients admitted in pediatric wards. RESULT: Predominant etiology of seizure disorder was structural/metabolic (59%) andgenetic (39%) children. Sixty six had abnormal EEG with Generalized epileptiform discharges (35) ,focal epileptiform discharges (29) and hypsarrhythmia (2). Abnormal neuroimaging found in 59%. Commonest neuroimaging abnormality was ring enhancing lesion (19%). Statistically significant correlation found between delayed development, neurocutaneous marker, number of convulsions and type of therapy with the abnormalities in EEG. Statistically significant association found between neonatal convulsion, abnormal birth history, microcephaly and etiology of seizure with Neuroimaging abnormality. CONCLUSION: We found high frequency of imaging abnormalities in children with new-onset seizures who were otherwise developing normally. Our findings indicate that EEG results are not good indicators of MRI results and they should not be used as the only criterion for ordering MRI.
Authors and Affiliations
Dr Nilima Narkhede, Dr Tushar Maniar, Dr N. C. Joshi, Dr Shilpa Kulkarni
Keywords
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- EP ID EP243615
- DOI 10.9790/0853-1610050104
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