Predictive power of phase 1 studies for the identification of seizure onset zone in phase 2 in a pediatric epilepsy cohort.

IF 6.6 1区 医学 Q1 CLINICAL NEUROLOGY
Epilepsia Pub Date : 2025-08-18 DOI:10.1111/epi.18596
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
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Abstract

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.

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。
目的:治疗耐药癫痫(DRE)的手术效果在很大程度上取决于癫痫发作区(SOZ)的正确识别。立体脑电图(sEEG)可用于定位soz,但必须是假设驱动的。适当利用一期无创研究可以最大化sEEG规划。方法:我们对在单一机构接受sEEG植入治疗DRE的儿童患者进行回顾性图表回顾,随后治疗确定的SOZ。每个sEEG导联均通过1期非侵入性数据进行识别,表明可能存在SOZ定位。SOZ和患者预后与1期研究结果相关。结果:对100例10年间共植入1777根导联的患者进行了分析。共确定了242个特殊区域;41.5%的患者1年无癫痫发作,75.4%的患者癫痫发作频率至少降低50%。多变量模型显示,病变(比值比[OR] = 1.6)、钙化(比值比= 2.5)、脑磁图(比值比= 1.5)和符号学(比值比= 1.7)等解剖学表现是预测SOZ的最佳指标。预测能力因潜在的癫痫病因而异。意义:这些结果强调了在无创评估阶段采用多模式方法识别SOZ的重要性。更深入地了解每种单独的术前检测方式的潜力,可以指导sEEG的放置,以最大限度地降低手术风险,同时最大限度地提高诊断率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epilepsia
Epilepsia 医学-临床神经学
CiteScore
10.90
自引率
10.70%
发文量
319
审稿时长
2-4 weeks
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.
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