1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania.
3Department of Neurosurgery, The Medical University of South Carolina, Charleston, South Carolina; and.
Neurosurg Focus. 2020 Feb 1;48(2):E6. doi: 10.3171/2019.11.FOCUS19785.
The ability of diffusion tensor MRI to detect the preferential diffusion of water in cerebral white matter tracts enables neurosurgeons to noninvasively visualize the relationship of lesions to functional neural pathways. Although viewed as a research tool in its infancy, diffusion tractography has evolved into a neurosurgical tool with applications in glioma surgery that are enhanced by evolutions in crossing fiber visualization, edema correction, and automated tract identification. In this paper the current literature supporting the use of tractography in brain tumor surgery is summarized, highlighting important clinical studies on the application of diffusion tensor imaging (DTI) for preoperative planning of glioma resection, and risk assessment to analyze postoperative outcomes. The key methods of tractography in current practice and crucial white matter fiber bundles are summarized. After a review of the physical basis of DTI and post-DTI tractography, the authors discuss the methodologies with which to adapt DT image processing for surgical planning, as well as the potential of connectomic imaging to facilitate a network approach to oncofunctional optimization in glioma surgery.
弥散张量 MRI 检测脑白质束中水的优先扩散的能力使神经外科医生能够无创地观察病变与功能神经通路的关系。虽然在其早期被视为一种研究工具,但弥散张量成像技术已经发展成为一种神经外科工具,在胶质瘤手术中的应用得到了增强,包括交叉纤维可视化、水肿校正和自动纤维识别的发展。本文总结了支持弥散张量成像在脑肿瘤手术中应用的现有文献,重点介绍了弥散张量成像在胶质瘤切除术术前规划和风险评估以分析术后结果方面的重要临床研究。总结了目前实践中弥散张量成像技术的关键方法和重要的白质纤维束。在回顾了 DTI 的物理基础和后 DTI 弥散张量成像技术后,作者讨论了适应手术计划的 DT 图像处理方法,以及连接组学成像在胶质瘤手术中促进肿瘤功能优化的网络方法的潜力。