Incomplete resection of the intracranial electroencephalographic seizure onset zone is not associated with postsurgical outcomes

Delineation of seizure onset regions using intracranial electroencephalography (icEEG) is vital in the surgical workup of drug‐resistant epilepsy cases. However, it is unknown whether the complete resection of these regions is necessary for seizure freedom, or whether postsurgical seizure recurrence...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Epilepsia (Copenhagen) 2024-09, Vol.65 (9), p.e163-e169
Hauptverfasser: Gascoigne, Sarah J., Evans, Nathan, Hall, Gerard, Kozma, Csaba, Panagiotopoulou, Mariella, Schroeder, Gabrielle M., Simpson, Callum, Thornton, Christopher, Turner, Frances, Woodhouse, Heather, Blickwedel, Jess, Chowdhury, Fahmida A., Diehl, Beate, Duncan, John S., Faulder, Ryan, Thomas, Rhys H., Wilson, Kevin, Taylor, Peter N., Wang, Yujiang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Delineation of seizure onset regions using intracranial electroencephalography (icEEG) is vital in the surgical workup of drug‐resistant epilepsy cases. However, it is unknown whether the complete resection of these regions is necessary for seizure freedom, or whether postsurgical seizure recurrence can be attributed to the incomplete removal of seizure onset regions. To address this gap, we retrospectively analyzed icEEG recordings from 63 subjects, identifying seizure onset regions visually and algorithmically. We assessed onset region resection and correlated this with postsurgical seizure control. The majority of subjects had more than half of their onset regions resected (82.46% and 80.65% of subjects using visual and algorithmic methods, respectively). There was no association between the proportion of the seizure onset zone (SOZ) that was subsequently resected and better surgical outcomes (area under the receiver operating characteristic curve [AUC] 
ISSN:0013-9580
1528-1167
1528-1167
DOI:10.1111/epi.18061