Brain Advance Access originally published online on March 13, 2009
Brain 2009 132(4):1038-1047; doi:10.1093/brain/awp025
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Role of subdural electrocorticography in prediction of long-term seizure outcome in epilepsy surgery
1 Department of Pediatrics, Children's Hospital of Michigan, Wayne State University, Detroit, MI 48201, USA 2 Department of Neurology, Children's Hospital of Michigan, Wayne State University, Detroit, MI 48201, USA 3 Department of Neurosurgery, Children's Hospital of Michigan, Wayne State University, Detroit, MI 48201, USA
Correspondence to: Eishi Asano, Division of Pediatric Neurology, Children's Hospital of Michigan, Wayne State University, 3901 Beaubien Street, Detroit, 48201 MI, USA E-mail: eishi{at}pet.wayne.edu
Since prediction of long-term seizure outcome using preoperative diagnostic modalities remains suboptimal in epilepsy surgery, we evaluated whether interictal spike frequency measures obtained from extraoperative subdural electrocorticography (ECoG) recording could predict long-term seizure outcome. This study included 61 young patients (age 0.4–23.0 years), who underwent extraoperative ECoG recording prior to cortical resection for alleviation of uncontrolled focal seizures. Patient age, frequency of preoperative seizures, neuroimaging findings, ictal and interictal ECoG measures were preoperatively obtained. The seizure outcome was prospectively measured [follow-up period: 2.5–6.4 years (mean 4.6 years)]. Univariate and multivariate logistic regression analyses determined how well preoperative demographic and diagnostic measures predicted long-term seizure outcome. Following the initial cortical resection, Engel Class I, II, III and IV outcomes were noted in 35, 6, 12 and 7 patients, respectively. One child died due to disseminated intravascular coagulation associated with pseudomonas sepsis 2 days after surgery. Univariate regression analyses revealed that incomplete removal of seizure onset zone, higher interictal spike-frequency in the preserved cortex and incomplete removal of cortical abnormalities on neuroimaging were associated with a greater risk of failing to obtain Class I outcome. Multivariate logistic regression analysis revealed that incomplete removal of seizure onset zone was the only independent predictor of failure to obtain Class I outcome. The goodness of regression model fit and the predictive ability of regression model were greatest in the full regression model incorporating both ictal and interictal measures [R2 0.44; Area under the receiver operating characteristic (ROC) curve: 0.81], slightly smaller in the reduced model incorporating ictal but not interictal measures (R2 0.40; Area under the ROC curve: 0.79) and slightly smaller again in the reduced model incorporating interictal but not ictal measures (R2 0.27; Area under the ROC curve: 0.77). Seizure onset zone and interictal spike frequency measures on subdural ECoG recording may both be useful in predicting the long-term seizure outcome of epilepsy surgery. Yet, the additive clinical impact of interictal spike frequency measures to predict long-term surgical outcome may be modest in the presence of ictal ECoG and neuroimaging data.
Key Words: clinical neurophysiology; paediatric epilepsy surgery; intracranial electroencephalography (EEG); irritative zone
Abbreviations: ECoG, electrocorticography; FDG, 2-deoxy-2-[18F] fluoro-D-glucose; ROC, receiver operating characteristic; PET, positron emission tomography
Received December 2, 2008. Revised January 11, 2009. Accepted January 19, 2009.