Kalman Katlowitz, Anthony Allam, Nealen Laxpati, Steven Lee, John P McGinnis, Akshat Katyayan, Irfan Ali, Kimberly M Houck, Anu Nayak, Sonali Sen, Gloria Diaz-Medina, Deepankar Mohanty, Dave Clarke, Rohini Coorg, Elaine S Seto, James J Riviello, Anne E Anderson, Howard L Weiner, Daniel J Curry
{"title":"一期研究对儿童癫痫队列二期癫痫发作区识别的预测能力。","authors":"Kalman Katlowitz, Anthony Allam, Nealen Laxpati, Steven Lee, John P McGinnis, Akshat Katyayan, Irfan Ali, Kimberly M Houck, Anu Nayak, Sonali Sen, Gloria Diaz-Medina, Deepankar Mohanty, Dave Clarke, Rohini Coorg, Elaine S Seto, James J Riviello, Anne E Anderson, Howard L Weiner, Daniel J Curry","doi":"10.1111/epi.18596","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Surgical outcomes in the management drug-resistant epilepsy (DRE) rely heavily on proper identification of the seizure onset zone (SOZ). Stereo-electroencephalography (sEEG) can be used to localize SOZs but must be hypothesis driven. Proper utilization of phase 1, noninvasive studies can maximize sEEG planning.</p><p><strong>Methods: </strong>We performed a retrospective chart review of pediatric patients who underwent sEEG implantation for DRE at a single institution and then subsequently had treatment for an identified SOZ. Each sEEG lead was identified by phase 1, noninvasive data indicating possible SOZ localization. SOZ and patient outcomes were correlated with phase 1 study findings.</p><p><strong>Results: </strong>One hundred patients with a total of 1777 leads implanted over the span of 10 years were analyzed. A total of 242 SOZs were identified; 41.5% of patients were seizure-free at 1 year, and 75.4% had at least a 50% reduction in seizure frequency. Multivariate modeling showed that anatomical findings such as lesions (odds ratio [OR] = 1.6) and calcifications (OR = 2.5) as well as magnetoencephalography (OR = 1.5) and semiology (OR = 1.7) were the most predictive of SOZ. Predictive power varied with the underlying seizure etiology.</p><p><strong>Significance: </strong>These results highlight the importance of a multimodal approach to SOZ identification in the noninvasive evaluation phase. A deeper understanding of the potential of each individual preoperative testing modality can guide sEEG placement to minimize surgical risk while maximizing diagnostic yield.</p>","PeriodicalId":11768,"journal":{"name":"Epilepsia","volume":" ","pages":""},"PeriodicalIF":6.6000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive power of phase 1 studies for the identification of seizure onset zone in phase 2 in a pediatric epilepsy cohort.\",\"authors\":\"Kalman Katlowitz, Anthony Allam, Nealen Laxpati, Steven Lee, John P McGinnis, Akshat Katyayan, Irfan Ali, Kimberly M Houck, Anu Nayak, Sonali Sen, Gloria Diaz-Medina, Deepankar Mohanty, Dave Clarke, Rohini Coorg, Elaine S Seto, James J Riviello, Anne E Anderson, Howard L Weiner, Daniel J Curry\",\"doi\":\"10.1111/epi.18596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Surgical outcomes in the management drug-resistant epilepsy (DRE) rely heavily on proper identification of the seizure onset zone (SOZ). Stereo-electroencephalography (sEEG) can be used to localize SOZs but must be hypothesis driven. Proper utilization of phase 1, noninvasive studies can maximize sEEG planning.</p><p><strong>Methods: </strong>We performed a retrospective chart review of pediatric patients who underwent sEEG implantation for DRE at a single institution and then subsequently had treatment for an identified SOZ. Each sEEG lead was identified by phase 1, noninvasive data indicating possible SOZ localization. SOZ and patient outcomes were correlated with phase 1 study findings.</p><p><strong>Results: </strong>One hundred patients with a total of 1777 leads implanted over the span of 10 years were analyzed. A total of 242 SOZs were identified; 41.5% of patients were seizure-free at 1 year, and 75.4% had at least a 50% reduction in seizure frequency. Multivariate modeling showed that anatomical findings such as lesions (odds ratio [OR] = 1.6) and calcifications (OR = 2.5) as well as magnetoencephalography (OR = 1.5) and semiology (OR = 1.7) were the most predictive of SOZ. Predictive power varied with the underlying seizure etiology.</p><p><strong>Significance: </strong>These results highlight the importance of a multimodal approach to SOZ identification in the noninvasive evaluation phase. A deeper understanding of the potential of each individual preoperative testing modality can guide sEEG placement to minimize surgical risk while maximizing diagnostic yield.</p>\",\"PeriodicalId\":11768,\"journal\":{\"name\":\"Epilepsia\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epilepsia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/epi.18596\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epilepsia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/epi.18596","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Predictive power of phase 1 studies for the identification of seizure onset zone in phase 2 in a pediatric epilepsy cohort.
Objective: Surgical outcomes in the management drug-resistant epilepsy (DRE) rely heavily on proper identification of the seizure onset zone (SOZ). Stereo-electroencephalography (sEEG) can be used to localize SOZs but must be hypothesis driven. Proper utilization of phase 1, noninvasive studies can maximize sEEG planning.
Methods: We performed a retrospective chart review of pediatric patients who underwent sEEG implantation for DRE at a single institution and then subsequently had treatment for an identified SOZ. Each sEEG lead was identified by phase 1, noninvasive data indicating possible SOZ localization. SOZ and patient outcomes were correlated with phase 1 study findings.
Results: One hundred patients with a total of 1777 leads implanted over the span of 10 years were analyzed. A total of 242 SOZs were identified; 41.5% of patients were seizure-free at 1 year, and 75.4% had at least a 50% reduction in seizure frequency. Multivariate modeling showed that anatomical findings such as lesions (odds ratio [OR] = 1.6) and calcifications (OR = 2.5) as well as magnetoencephalography (OR = 1.5) and semiology (OR = 1.7) were the most predictive of SOZ. Predictive power varied with the underlying seizure etiology.
Significance: These results highlight the importance of a multimodal approach to SOZ identification in the noninvasive evaluation phase. A deeper understanding of the potential of each individual preoperative testing modality can guide sEEG placement to minimize surgical risk while maximizing diagnostic yield.
期刊介绍:
Epilepsia is the leading, authoritative source for innovative clinical and basic science research for all aspects of epilepsy and seizures. In addition, Epilepsia publishes critical reviews, opinion pieces, and guidelines that foster understanding and aim to improve the diagnosis and treatment of people with seizures and epilepsy.