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Recent advances in epilepsy surgery.
- Source :
-
Current opinion in neurology [Curr Opin Neurol] 2023 Apr 01; Vol. 36 (2), pp. 95-101. Date of Electronic Publication: 2023 Jan 31. - Publication Year :
- 2023
-
Abstract
- Purpose of Review: Technological innovations in the preoperative evaluation, surgical techniques and outcome prediction in epilepsy surgery have grown exponentially over the last decade. This review highlights and emphasizes relevant updates in techniques and diagnostic tools, discussing their context within standard practice at comprehensive epilepsy centres.<br />Recent Findings: High-resolution structural imaging has set an unprecedented opportunity to detect previously unrecognized subtle abnormalities. Machine learning and computer science are impacting the methodologies to analyse presurgical and surgical outcome data, building more accurate prediction models to tailor treatment strategies. Robotic-assisted placement of depth electrodes has increased the safety and ability to sample epileptogenic nodes within deep structures, improving our understanding of the seizure networks in drug-resistant epilepsy. The current available minimally invasive techniques are reasonable surgical alternatives to ablate or disrupt epileptogenic regions, although their sustained efficacy is still an active area of research.<br />Summary: Epilepsy surgery is still underutilized worldwide. Every patient who continues with seizures despite adequate trials of two well selected and tolerated antiseizure medications should be evaluated for surgical candidacy. Collaboration between academic epilepsy centres is of paramount importance to answer long-standing questions in epilepsy surgery regarding the understanding of spatio-temporal dynamics in epileptogenic networks and its impact on surgical outcomes.<br /> (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1473-6551
- Volume :
- 36
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Current opinion in neurology
- Publication Type :
- Academic Journal
- Accession number :
- 36762633
- Full Text :
- https://doi.org/10.1097/WCO.0000000000001134