Publication Date
9-1-2022
Journal
Journal of Neuroimaging
DOI
10.1111/jon.13016
PMID
35729081
PMCID
PMC11267633
PubMedCentral® Posted Date
7-24-2024
PubMedCentral® Full Text Version
Author MSS
Published Open-Access
yes
Keywords
Child, Child, Preschool, Electroencephalography, Epilepsy, Humans, Magnetic Resonance Imaging, Malformations of Cortical Development, Retrospective Studies, Treatment Outcome, Tuberous Sclerosis, children, epilepsy, epilepsy surgery, MRI, tuberous sclerosis complex
Abstract
BACKGROUND AND PURPOSE: The success of epilepsy surgery in children with tuberous sclerosis complex (TSC) hinges on identification of the epileptogenic zone (EZ). We studied structural MRI markers of epileptogenic lesions in young children with TSC.
METHODS: We included 26 children with TSC who underwent epilepsy surgery before the age of 3 years at five sites, with 12 months or more follow-up. Two neuroradiologists, blinded to surgical outcome data, reviewed 10 candidate lesions on preoperative MRI for characteristics of the tuber (large affected area, calcification, cyst-like properties) and of focal cortical dysplasia (FCD) features (cortical malformation, gray-white matter junction blurring, transmantle sign). They selected lesions suspect for the EZ based on structural MRI, and reselected after unblinding to seizure onset location on electroencephalography (EEG).
RESULTS: None of the tuber characteristics and FCD features were distinctive for the EZ, indicated by resected lesions in seizure-free children. With structural MRI alone, the EZ was identified out of 10 lesions in 31%, and with addition of EEG data, this increased to 48%. However, rates of identification of resected lesions in non-seizure-free children were similar. Across 251 lesions, interrater agreement was moderate for large size (κ = .60), and fair (κ = .24) for all other features.
CONCLUSIONS: In young children with TSC, the utility of structural MRI features is limited in the identification of the epileptogenic tuber, but improves when combined with EEG data.
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