Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, 77555, USA.
Department of Neurosurgery, Hôpital Gui de Chauliac, CHU Montpellier, 80 Av Augustin Fliche, 34295, Montpellier, France.
Acta Neurochir (Wien). 2023 Sep;165(9):2489-2500. doi: 10.1007/s00701-023-05626-2. Epub 2023 May 18.
Understanding the structural connectivity of white matter tracts (WMT) and their related functions is a prerequisite to implementing an "a la carte" "connectomic approach" to glioma surgery. However, accessible resources facilitating such an approach are lacking. Here we present an educational method that is readily accessible, simple, and reproducible that enables the visualization of WMTs on individual patient images via an atlas-based approach.
Our method uses the patient's own magnetic resonance imaging (MRI) images and consists of three main steps: data conversion, normalization, and visualization; these are accomplished using accessible software packages and WMT atlases. We implement our method on three common cases encountered in glioma surgery: a right supplementary motor area tumor, a left insular tumor, and a left temporal tumor.
Using patient-specific perioperative MRIs with open-sourced and co-registered atlas-derived WMTs, we highlight the critical subnetworks requiring specific surgical monitoring identified intraoperatively using direct electrostimulation mapping with cognitive monitoring. The aim of this didactic method is to provide the neurosurgical oncology community with an accessible and ready-to-use educational tool, enabling neurosurgeons to improve their knowledge of WMTs and to better learn their oncologic cases, especially in glioma surgery using awake mapping.
Taking no more than 3-5 min per patient and irrespective of their resource settings, we believe that this method will enable junior surgeons to develop an intuition, and a robust 3-dimensional imagery of WMT by regularly applying it to their cases both before and after surgery to develop an "a la carte" connectome-based perspective to glioma surgery.
了解白质束(WMT)的结构连接及其相关功能是实施“按需定制”“连接组学方法”治疗胶质瘤手术的前提。然而,缺乏便于实现这一方法的可用资源。在这里,我们提出了一种易于获得、简单且可重复的教育方法,通过基于图谱的方法可以在患者的个体图像上可视化 WMT。
我们的方法使用患者自己的磁共振成像(MRI)图像,包括三个主要步骤:数据转换、归一化和可视化;这些步骤使用可访问的软件包和 WMT 图谱来完成。我们在胶质瘤手术中遇到的三个常见病例上实施了我们的方法:右辅助运动区肿瘤、左岛叶肿瘤和左颞叶肿瘤。
使用患者特定的围手术期 MRI 以及开源和配准图谱衍生的 WMT,我们强调了在使用认知监测的直接电刺激映射术中需要特定手术监测的关键子网。这种教学方法的目的是为神经外科肿瘤学社区提供一种易于访问且随时可用的教育工具,使神经外科医生能够提高他们对白质束的了解,并更好地学习他们的肿瘤病例,特别是在使用清醒映射的胶质瘤手术中。
每个患者只需花费 3-5 分钟,无论其资源设置如何,我们相信,这种方法将使初级外科医生能够通过定期将其应用于手术前后的病例,培养对白质束的直觉和强大的三维图像,并形成“按需定制”的基于连接组学的胶质瘤手术观点。