Abstract

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.

Highlights

  • To identify the boundaries of dysplastic tissue specially after the arachnoid is transgressed

  • Complete resection is associated with 70–87% probability of seizure freedom while an incomplete resection is associated with 5–49% probability of seizure f­reedom[10]

  • We have demonstrated feasibility of an easy-to-use handheld tool to obtain real-time in vivo measurements of human brain stiffness during open craniotomy

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Summary

Introduction

To identify the boundaries of dysplastic tissue specially after the arachnoid is transgressed. Complete surgical resection of the structural lesion has been repeatedly shown to be the most important, and often the only, predictor of seizure freedom after epilepsy n­ eurosurgery[8,9,10,11,12,13,14,15,16]. Novel biomarkers to assist in the conduct of epilepsy surgery are welcome, yet very little innovation in surgical technique has been realized in the past 80 years. Epilepsy surgeons qualitatively use tactile feedback to differentiate normal brain tissue from CD to guide the boundaries of surgical resection. The findings of this study should inform the conduct of a larger, prospective study to determine whether brain stiffness could be leveraged to improve outcomes for respective epilepsy surgery

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