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脑连接组学在立体定向放射外科治疗计划中的应用。

Incorporation of Brain Connectomics for Stereotactic Radiosurgery Treatment Planning.

机构信息

Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.

Department of Radiology, University of Virginia, Charlottesville, Virginia, USA.

出版信息

Oper Neurosurg (Hagerstown). 2023 Oct 1;25(4):e211-e215. doi: 10.1227/ons.0000000000000818. Epub 2023 Aug 3.

Abstract

BACKGROUND AND IMPORTANCE

Neurosurgeons have integrated neuroanatomy-based tractography to avoid critical structures during dose planning. However, they have yet to integrate more comprehensive connectome networks for radiosurgical planning.

CLINICAL PRESENTATION

A young man presented with a Spetzler-Martin Grade 3 right temporal arteriovenous malformation.

DISCUSSION

As proof of concept, we incorporated connectomic networks including default mode network, optic radiation and central executive network into the Gamma Knife radiosurgical treatment planning workflow. Connectome networks were created from T1 anatomic and diffusion-weighted images magnetic resonance images using Quicktome software. The resulting networks were voxel-encoded in the magnetic resonance images, imported into GammaPlan, and segmented by image thresholding. The GammaPlan Lightning optimizer was used to create radiosurgical plans with a dose of 20 Gy to the 50% isodose line delivered to the arteriovenous malformation nidus both with and without treating these networks as risk structures. When taking into account the connectome networks, a maximum dose restriction of 14 Gy was placed on each network during lightning dose planning. With default mode network, optic radiation, and central executive network as risk structures, the maximum dose and V 12Gy were reduced by 23.4% and 88.3%, 20% and 34.3%, and 29.8% and 63.2%, respectively.

CONCLUSION

We were able to incorporate connectomes into radiosurgical dose planning approaches. This allowed for dose reductions to the networks while still achieving delivery of a therapeutic dose to the target volume.

摘要

背景与重要性

神经外科医生已经整合了基于神经解剖的束路追踪技术,以在剂量规划过程中避开关键结构。然而,他们尚未将更全面的连接体网络整合到放射外科规划中。

临床特征

一名年轻男性患有 Spetzler-Martin 分级 3 级右侧颞部动静脉畸形。

讨论

作为概念验证,我们将包括默认模式网络、视辐射和中央执行网络在内的连接体网络纳入了伽玛刀放射外科治疗计划工作流程。连接体网络是使用 Quicktome 软件从 T1 解剖和弥散加权磁共振图像创建的。创建的网络在磁共振图像中以体素编码,并导入到 GammaPlan 中,然后通过图像阈值分割进行分割。使用 GammaPlan Lightning 优化器为动静脉畸形病灶创建 20 Gy 剂量的放射外科计划,同时将这些网络作为风险结构进行治疗。在闪电剂量规划期间,为每个网络设置了 14 Gy 的最大剂量限制。将默认模式网络、视辐射和中央执行网络作为风险结构,最大剂量和 V12Gy 分别减少了 23.4%和 88.3%、20%和 34.3%以及 29.8%和 63.2%。

结论

我们能够将连接体整合到放射外科剂量规划方法中。这允许在网络中降低剂量,同时仍然能够将治疗剂量传递到目标体积。

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