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利用磁共振信号强度变化来突出脑活检轨迹中风险结构。

Use of MR signal intensity variations to highlight structures at risk along brain biopsy trajectories.

机构信息

Departments of1Neurosurgery.

2University Paris Cité, Paris.

出版信息

J Neurosurg. 2023 Jul 28;140(1):116-126. doi: 10.3171/2023.5.JNS23263. Print 2024 Jan 1.

Abstract

OBJECTIVE

Postoperative intracerebral hemorrhages are significant complications following brain stereotactic biopsy. They can derive from anatomical structure (sulci, vessels) damage that is missed during stereotactic trajectory planning. In this study, the authors investigated the ability to detect contact between structures at risk and stereotactic trajectories using signal analysis from MRI obtained during clinical practice, with the aim to propose a visual tool to highlight areas with anatomical structures at risk of damage along the biopsy trajectory.

METHODS

The authors retrospectively analyzed actual stereotactic trajectories using intraoperative imaging (intraoperative 2D radiographs in the exploratory data set and intraoperative 3D scans in the confirmatory data set). The MR signal variation along each biopsy trajectory was matched with the patient's anatomy.

RESULTS

In the exploratory data set (n = 154 patients), 32 contacts between the actual biopsy trajectory and an anatomical structure at risk were identified along 28 (18.2%) biopsy trajectories, corresponding to 8 preventable intracerebral hemorrhages. Variations of the mean derivative of the MR signal intensity were significantly different between trajectories with and without contact (the pathological threshold of the mean derivative of the MR signal intensity was defined as ± 0.030 arbitrary units; p < 0.0001), with a sensitivity of 89.3% and specificity of 74.6% to detect a contact. In the confirmatory data set (n = 73 patients), the sensitivity and specificity of the 0.030 threshold to detect a contact between the actual stereotactic trajectory and an anatomical structure at risk were 81.3% and 68.4%, respectively.

CONCLUSIONS

Variations of the mean derivative of the MR signal intensity can be converted into a green/red color code along the planned biopsy trajectory to highlight anatomical structures at risk, which can help neurosurgeons during the surgical planning of stereotactic procedures.

摘要

目的

脑立体定向活检后颅内出血是一种严重的并发症。它们可能源于立体定向轨迹规划过程中错过的解剖结构(脑沟、血管)损伤。在这项研究中,作者通过分析从临床实践中获得的 MRI 的信号,研究了检测危险结构与立体定向轨迹接触的能力,目的是提出一种可视化工具,以突出活检轨迹沿线存在结构损伤风险的区域。

方法

作者回顾性地分析了使用术中影像学(探索性数据集的术中二维 X 线片和验证性数据集的术中三维扫描)获得的实际立体定向轨迹。将每条活检轨迹的 MRI 信号变化与患者的解剖结构相匹配。

结果

在探索性数据集(n = 154 例患者)中,在 28 条(18.2%)活检轨迹上确定了 32 个实际活检轨迹与危险解剖结构之间的接触,这与 8 例可预防的颅内出血相对应。有接触的和没有接触的轨迹的 MR 信号强度的平均导数变化差异有统计学意义(MR 信号强度的平均导数的病理阈值定义为±0.030 个任意单位;p<0.0001),检测到接触的敏感性为 89.3%,特异性为 74.6%。在验证性数据集(n = 73 例患者)中,0.030 阈值检测实际立体定向轨迹与危险解剖结构之间接触的敏感性和特异性分别为 81.3%和 68.4%。

结论

MR 信号强度的平均导数变化可以转化为沿计划活检轨迹的绿色/红色颜色代码,以突出存在结构损伤风险的解剖结构,这有助于神经外科医生在立体定向手术规划中。

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