Department of Neurosurgery, David Geffen School of Medicine at UCLA, 300 Stein Plaza, Suite 525, Los Angeles, CA, 90095-6901, USA.
Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Sci Rep. 2020 Dec 1;10(1):20978. doi: 10.1038/s41598-020-77888-0.
Complete surgical resection of abnormal brain tissue is the most important predictor of seizure freedom following surgery for cortical dysplasia. While lesional tissue is often visually indiscernible from normal brain, anecdotally, it is subjectively stiffer. We report the first experience of the use of a digital tonometer to understand the biomechanical properties of epilepsy tissue and to guide the conduct of epilepsy surgery. Consecutive epilepsy surgery patients (n = 24) from UCLA Mattel Children's Hospital were recruited to undergo intraoperative brain tonometry at the time of open craniotomy for epilepsy surgery. Brain stiffness measurements were corrected with abnormalities on neuroimaging and histopathology using mixed-effects multivariable linear regression. We collected 249 measurements across 30 operations involving 24 patients through the pediatric epilepsy surgery program at UCLA Mattel Children's Hospital. On multivariable mixed-effects regression, brain stiffness was significantly associated with the presence of MRI lesion (β = 32.3, 95%CI 16.3-48.2; p < 0.001), severity of cortical disorganization (β = 19.8, 95%CI 9.4-30.2; p = 0.001), and recent subdural grid implantation (β = 42.8, 95%CI 11.8-73.8; p = 0.009). Brain tonometry offers the potential of real-time intraoperative feedback to identify abnormal brain tissue with millimeter spatial resolution. We present the first experience with this novel intraoperative tool for the conduct of epilepsy surgery. A carefully designed prospective study is required to elucidate whether the clinical application of brain tonometry during resective procedures could guide the area of resection and improve seizure outcomes.
完整切除异常脑组织是皮质发育不良手术后无癫痫发作的最重要预测因素。虽然病变组织通常在视觉上与正常大脑难以区分,但据观察,它的质地更硬。我们报告了首次使用数字眼压计了解癫痫组织生物力学特性并指导癫痫手术的经验。从加利福尼亚大学洛杉矶分校马特儿童医院的连续癫痫手术患者(n=24)中招募了接受开颅手术进行癫痫手术时的术中脑眼压测量的患者。使用混合效应多变量线性回归,通过神经影像学和组织病理学上的异常对脑硬度测量值进行校正。我们通过加利福尼亚大学洛杉矶分校马特儿童医院的儿科癫痫手术计划收集了 30 例手术中涉及 24 名患者的 249 次测量值。在多变量混合效应回归中,脑硬度与 MRI 病变的存在显著相关(β=32.3,95%CI 16.3-48.2;p<0.001),皮质紊乱的严重程度(β=19.8,95%CI 9.4-30.2;p=0.001)和最近的硬膜下网格植入(β=42.8,95%CI 11.8-73.8;p=0.009)。脑眼压计提供了实时术中反馈的潜力,可以识别具有毫米空间分辨率的异常脑组织。我们介绍了这种用于癫痫手术的新型术中工具的首次经验。需要精心设计前瞻性研究,以阐明在切除性手术中应用脑眼压计是否可以指导切除范围并改善癫痫发作结果。