Electrocorticographic Patterns in Epilepsy Surgery and Long-Term Outcome
The role of intraoperative electrocorticography (iECoG) and of its patterns in epilepsy surgery have shown contradictory results. Our aim was to describe iECoG patterns and their association with outcome in epilepsy surgery. We retrospectively analyzed 104 patients who underwent epilepsy surgery (20...
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Veröffentlicht in: | Journal of clinical neurophysiology 2017-11, Vol.34 (6), p.520-526 |
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creator | San-Juan, Daniel Alonso-Vanegas, Mario Arturo Trenado, Carlos Hernández-Segura, Natalia Espinoza-López, Dulce Anabel González-Pérez, Brenda Cobos-Alfaro, Esmeralda Zúñiga-Gazcón, Héctor Fernández-González de Aragón, María Del Carmen Hernandez-Ruiz, Axel |
description | The role of intraoperative electrocorticography (iECoG) and of its patterns in epilepsy surgery have shown contradictory results. Our aim was to describe iECoG patterns and their association with outcome in epilepsy surgery.
We retrospectively analyzed 104 patients who underwent epilepsy surgery (2009-2015) with pre- and postresection iECoG. We described clinical findings, type of surgery, preresection iECoG patterns according to Palmini et al., 1995 (sporadic, continuous, burst, and recruiting interictal epileptiform discharges-IEDs) and postresection iECoG outcome (de novo, residual, and without IEDs). The Engel scale was used to evaluate the outcome. Descriptive statistics, Kaplan-Meier, the logistic regression model, and analysis of variance tests were used.
We included 60.6% (63/104) females, with a mean age of 35 (±10.2) years at the time of epilepsy surgery. The etiologies were hippocampal sclerosis (63.5%), cavernomas (14.4%), cortical dysplasia (11.5%), and low-grade tumors (10.6%). The most common preresection iECoG pattern was sporadic IEDs (47%). Postresection iECoG patterns were de novo (55.7%), residual (27.8%), and without IEDs (16.3%). Mean follow-up was 19.2 months. Engel scale was as follows: Engel I (91 patients, 87.5%), Engel II (10 patients, 9.6%), and Engel III (three patients, 2.9%). Analysis by mixed-design analysis of variance showed a significant difference between etiology groups with a strong size effect (P = 0.021, η = 0.513) and also between preresection iECoG patterns (P = 0.008, η = 0.661).
Preresection iECoG patterns and etiology influence Engel scale outcome in lesional epilepsy surgery. |
doi_str_mv | 10.1097/WNP.0000000000000407 |
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We retrospectively analyzed 104 patients who underwent epilepsy surgery (2009-2015) with pre- and postresection iECoG. We described clinical findings, type of surgery, preresection iECoG patterns according to Palmini et al., 1995 (sporadic, continuous, burst, and recruiting interictal epileptiform discharges-IEDs) and postresection iECoG outcome (de novo, residual, and without IEDs). The Engel scale was used to evaluate the outcome. Descriptive statistics, Kaplan-Meier, the logistic regression model, and analysis of variance tests were used.
We included 60.6% (63/104) females, with a mean age of 35 (±10.2) years at the time of epilepsy surgery. The etiologies were hippocampal sclerosis (63.5%), cavernomas (14.4%), cortical dysplasia (11.5%), and low-grade tumors (10.6%). The most common preresection iECoG pattern was sporadic IEDs (47%). Postresection iECoG patterns were de novo (55.7%), residual (27.8%), and without IEDs (16.3%). Mean follow-up was 19.2 months. Engel scale was as follows: Engel I (91 patients, 87.5%), Engel II (10 patients, 9.6%), and Engel III (three patients, 2.9%). Analysis by mixed-design analysis of variance showed a significant difference between etiology groups with a strong size effect (P = 0.021, η = 0.513) and also between preresection iECoG patterns (P = 0.008, η = 0.661).
Preresection iECoG patterns and etiology influence Engel scale outcome in lesional epilepsy surgery.</description><identifier>ISSN: 0736-0258</identifier><identifier>EISSN: 1537-1603</identifier><identifier>DOI: 10.1097/WNP.0000000000000407</identifier><identifier>PMID: 28786834</identifier><language>eng</language><publisher>United States</publisher><subject>Adult ; Analysis of Variance ; Brain - physiopathology ; Brain - surgery ; Drug Resistant Epilepsy - diagnosis ; Drug Resistant Epilepsy - etiology ; Drug Resistant Epilepsy - physiopathology ; Drug Resistant Epilepsy - surgery ; Electrocorticography ; Female ; Follow-Up Studies ; Humans ; Intraoperative Neurophysiological Monitoring ; Kaplan-Meier Estimate ; Logistic Models ; Male ; Prognosis ; Retrospective Studies ; Severity of Illness Index ; Time Factors ; Treatment Outcome</subject><ispartof>Journal of clinical neurophysiology, 2017-11, Vol.34 (6), p.520-526</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c307t-e873cabe9a82d6499dee82b5a78931f77a8838919b998234dae9085edbe553083</citedby><cites>FETCH-LOGICAL-c307t-e873cabe9a82d6499dee82b5a78931f77a8838919b998234dae9085edbe553083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28786834$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>San-Juan, Daniel</creatorcontrib><creatorcontrib>Alonso-Vanegas, Mario Arturo</creatorcontrib><creatorcontrib>Trenado, Carlos</creatorcontrib><creatorcontrib>Hernández-Segura, Natalia</creatorcontrib><creatorcontrib>Espinoza-López, Dulce Anabel</creatorcontrib><creatorcontrib>González-Pérez, Brenda</creatorcontrib><creatorcontrib>Cobos-Alfaro, Esmeralda</creatorcontrib><creatorcontrib>Zúñiga-Gazcón, Héctor</creatorcontrib><creatorcontrib>Fernández-González de Aragón, María Del Carmen</creatorcontrib><creatorcontrib>Hernandez-Ruiz, Axel</creatorcontrib><title>Electrocorticographic Patterns in Epilepsy Surgery and Long-Term Outcome</title><title>Journal of clinical neurophysiology</title><addtitle>J Clin Neurophysiol</addtitle><description>The role of intraoperative electrocorticography (iECoG) and of its patterns in epilepsy surgery have shown contradictory results. Our aim was to describe iECoG patterns and their association with outcome in epilepsy surgery.
We retrospectively analyzed 104 patients who underwent epilepsy surgery (2009-2015) with pre- and postresection iECoG. We described clinical findings, type of surgery, preresection iECoG patterns according to Palmini et al., 1995 (sporadic, continuous, burst, and recruiting interictal epileptiform discharges-IEDs) and postresection iECoG outcome (de novo, residual, and without IEDs). The Engel scale was used to evaluate the outcome. Descriptive statistics, Kaplan-Meier, the logistic regression model, and analysis of variance tests were used.
We included 60.6% (63/104) females, with a mean age of 35 (±10.2) years at the time of epilepsy surgery. The etiologies were hippocampal sclerosis (63.5%), cavernomas (14.4%), cortical dysplasia (11.5%), and low-grade tumors (10.6%). The most common preresection iECoG pattern was sporadic IEDs (47%). Postresection iECoG patterns were de novo (55.7%), residual (27.8%), and without IEDs (16.3%). Mean follow-up was 19.2 months. Engel scale was as follows: Engel I (91 patients, 87.5%), Engel II (10 patients, 9.6%), and Engel III (three patients, 2.9%). Analysis by mixed-design analysis of variance showed a significant difference between etiology groups with a strong size effect (P = 0.021, η = 0.513) and also between preresection iECoG patterns (P = 0.008, η = 0.661).
Preresection iECoG patterns and etiology influence Engel scale outcome in lesional epilepsy surgery.</description><subject>Adult</subject><subject>Analysis of Variance</subject><subject>Brain - physiopathology</subject><subject>Brain - surgery</subject><subject>Drug Resistant Epilepsy - diagnosis</subject><subject>Drug Resistant Epilepsy - etiology</subject><subject>Drug Resistant Epilepsy - physiopathology</subject><subject>Drug Resistant Epilepsy - surgery</subject><subject>Electrocorticography</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>Intraoperative Neurophysiological Monitoring</subject><subject>Kaplan-Meier Estimate</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Prognosis</subject><subject>Retrospective Studies</subject><subject>Severity of Illness Index</subject><subject>Time Factors</subject><subject>Treatment Outcome</subject><issn>0736-0258</issn><issn>1537-1603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkM1Kw0AUhQdRbK2-gUiWblLv5CaZmaWUaoViC1ZchsnktkaSTJxJFnl7K60ins3ZnB_4GLvmMOWgxN3b83oKfxWDOGFjnqAIeQp4ysYgMA0hSuSIXXj_AcAFYnTORpEUMpUYj9liXpHpnDXWdaWxO6fb99IEa9115BoflE0wb8uKWj8EL73bkRsC3RTB0ja7cEOuDlZ9Z2xNl-xsqytPV0efsNeH-Wa2CJerx6fZ_TI0CKILSQo0OielZVSksVIFkYzyRAupkG-F0FKiVFzlSskI40KTAplQkVOSIEicsNvDbuvsZ0--y-rSG6oq3ZDtfcZVJBDSGJJ9ND5EjbPeO9pmrStr7YaMQ_bNMNszzP4z3Ndujg99XlPxW_qBhl-d02w8</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>San-Juan, Daniel</creator><creator>Alonso-Vanegas, Mario Arturo</creator><creator>Trenado, Carlos</creator><creator>Hernández-Segura, Natalia</creator><creator>Espinoza-López, Dulce Anabel</creator><creator>González-Pérez, Brenda</creator><creator>Cobos-Alfaro, Esmeralda</creator><creator>Zúñiga-Gazcón, Héctor</creator><creator>Fernández-González de Aragón, María Del Carmen</creator><creator>Hernandez-Ruiz, Axel</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20171101</creationdate><title>Electrocorticographic Patterns in Epilepsy Surgery and Long-Term Outcome</title><author>San-Juan, Daniel ; Alonso-Vanegas, Mario Arturo ; Trenado, Carlos ; Hernández-Segura, Natalia ; Espinoza-López, Dulce Anabel ; González-Pérez, Brenda ; Cobos-Alfaro, Esmeralda ; Zúñiga-Gazcón, Héctor ; Fernández-González de Aragón, María Del Carmen ; Hernandez-Ruiz, Axel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-e873cabe9a82d6499dee82b5a78931f77a8838919b998234dae9085edbe553083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Analysis of Variance</topic><topic>Brain - physiopathology</topic><topic>Brain - surgery</topic><topic>Drug Resistant Epilepsy - diagnosis</topic><topic>Drug Resistant Epilepsy - etiology</topic><topic>Drug Resistant Epilepsy - physiopathology</topic><topic>Drug Resistant Epilepsy - surgery</topic><topic>Electrocorticography</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Humans</topic><topic>Intraoperative Neurophysiological Monitoring</topic><topic>Kaplan-Meier Estimate</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Prognosis</topic><topic>Retrospective Studies</topic><topic>Severity of Illness Index</topic><topic>Time Factors</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>San-Juan, Daniel</creatorcontrib><creatorcontrib>Alonso-Vanegas, Mario Arturo</creatorcontrib><creatorcontrib>Trenado, Carlos</creatorcontrib><creatorcontrib>Hernández-Segura, Natalia</creatorcontrib><creatorcontrib>Espinoza-López, Dulce Anabel</creatorcontrib><creatorcontrib>González-Pérez, Brenda</creatorcontrib><creatorcontrib>Cobos-Alfaro, Esmeralda</creatorcontrib><creatorcontrib>Zúñiga-Gazcón, Héctor</creatorcontrib><creatorcontrib>Fernández-González de Aragón, María Del Carmen</creatorcontrib><creatorcontrib>Hernandez-Ruiz, Axel</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical neurophysiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>San-Juan, Daniel</au><au>Alonso-Vanegas, Mario Arturo</au><au>Trenado, Carlos</au><au>Hernández-Segura, Natalia</au><au>Espinoza-López, Dulce Anabel</au><au>González-Pérez, Brenda</au><au>Cobos-Alfaro, Esmeralda</au><au>Zúñiga-Gazcón, Héctor</au><au>Fernández-González de Aragón, María Del Carmen</au><au>Hernandez-Ruiz, Axel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Electrocorticographic Patterns in Epilepsy Surgery and Long-Term Outcome</atitle><jtitle>Journal of clinical neurophysiology</jtitle><addtitle>J Clin Neurophysiol</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>34</volume><issue>6</issue><spage>520</spage><epage>526</epage><pages>520-526</pages><issn>0736-0258</issn><eissn>1537-1603</eissn><abstract>The role of intraoperative electrocorticography (iECoG) and of its patterns in epilepsy surgery have shown contradictory results. Our aim was to describe iECoG patterns and their association with outcome in epilepsy surgery.
We retrospectively analyzed 104 patients who underwent epilepsy surgery (2009-2015) with pre- and postresection iECoG. We described clinical findings, type of surgery, preresection iECoG patterns according to Palmini et al., 1995 (sporadic, continuous, burst, and recruiting interictal epileptiform discharges-IEDs) and postresection iECoG outcome (de novo, residual, and without IEDs). The Engel scale was used to evaluate the outcome. Descriptive statistics, Kaplan-Meier, the logistic regression model, and analysis of variance tests were used.
We included 60.6% (63/104) females, with a mean age of 35 (±10.2) years at the time of epilepsy surgery. The etiologies were hippocampal sclerosis (63.5%), cavernomas (14.4%), cortical dysplasia (11.5%), and low-grade tumors (10.6%). The most common preresection iECoG pattern was sporadic IEDs (47%). Postresection iECoG patterns were de novo (55.7%), residual (27.8%), and without IEDs (16.3%). Mean follow-up was 19.2 months. Engel scale was as follows: Engel I (91 patients, 87.5%), Engel II (10 patients, 9.6%), and Engel III (three patients, 2.9%). Analysis by mixed-design analysis of variance showed a significant difference between etiology groups with a strong size effect (P = 0.021, η = 0.513) and also between preresection iECoG patterns (P = 0.008, η = 0.661).
Preresection iECoG patterns and etiology influence Engel scale outcome in lesional epilepsy surgery.</abstract><cop>United States</cop><pmid>28786834</pmid><doi>10.1097/WNP.0000000000000407</doi><tpages>7</tpages></addata></record> |
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subjects | Adult Analysis of Variance Brain - physiopathology Brain - surgery Drug Resistant Epilepsy - diagnosis Drug Resistant Epilepsy - etiology Drug Resistant Epilepsy - physiopathology Drug Resistant Epilepsy - surgery Electrocorticography Female Follow-Up Studies Humans Intraoperative Neurophysiological Monitoring Kaplan-Meier Estimate Logistic Models Male Prognosis Retrospective Studies Severity of Illness Index Time Factors Treatment Outcome |
title | Electrocorticographic Patterns in Epilepsy Surgery and Long-Term Outcome |
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