Suppr超能文献

基于框架和机器人的立体定向神经外科手术在体模模型中的准确性。

Accuracy of Robotic and Frame-Based Stereotactic Neurosurgery in a Phantom Model.

作者信息

Spyrantis Andrea, Woebbecke Tirza, Rueß Daniel, Constantinescu Anne, Gierich Andreas, Luyken Klaus, Visser-Vandewalle Veerle, Herrmann Eva, Gessler Florian, Czabanka Marcus, Treuer Harald, Ruge Maximilian, Freiman Thomas M

机构信息

Department of Neurosurgery, Center of Neurology and Neurosurgery (ZNN), University Hospital Frankfurt, Goethe-University, Frankfurt am Main, Germany.

Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.

出版信息

Front Neurorobot. 2022 Mar 25;16:762317. doi: 10.3389/fnbot.2022.762317. eCollection 2022.

Abstract

BACKGROUND

The development of robotic systems has provided an alternative to frame-based stereotactic procedures. The aim of this experimental phantom study was to compare the mechanical accuracy of the Robotic Surgery Assistant (ROSA) and the Leksell stereotactic frame by reducing clinical and procedural factors to a minimum.

METHODS

To precisely compare mechanical accuracy, a stereotactic system was chosen as reference for both methods. A thin layer CT scan with an acrylic phantom fixed to the frame and a localizer enabling the software to recognize the coordinate system was performed. For each of the five phantom targets, two different trajectories were planned, resulting in 10 trajectories. A series of five repetitions was performed, each time based on a new CT scan. Hence, 50 trajectories were analyzed for each method. X-rays of the final cannula position were fused with the planning data. The coordinates of the target point and the endpoint of the robot- or frame-guided probe were visually determined using the robotic software. The target point error (TPE) was calculated applying the Euclidian distance. The depth deviation along the trajectory and the lateral deviation were separately calculated.

RESULTS

Robotics was significantly more accurate, with an arithmetic TPE mean of 0.53 mm (95% CI 0.41-0.55 mm) compared to 0.72 mm (95% CI 0.63-0.8 mm) in stereotaxy ( < 0.05). In robotics, the mean depth deviation along the trajectory was -0.22 mm (95% CI -0.25 to -0.14 mm). The mean lateral deviation was 0.43 mm (95% CI 0.32-0.49 mm). In frame-based stereotaxy, the mean depth deviation amounted to -0.20 mm (95% CI -0.26 to -0.14 mm), the mean lateral deviation to 0.65 mm (95% CI 0.55-0.74 mm).

CONCLUSION

Both the robotic and frame-based approach proved accurate. The robotic procedure showed significantly higher accuracy. For both methods, procedural factors occurring during surgery might have a more relevant impact on overall accuracy.

摘要

背景

机器人系统的发展为基于框架的立体定向手术提供了一种替代方案。本实验性体模研究的目的是通过将临床和手术因素降至最低,比较机器人手术助手(ROSA)和Leksell立体定向框架的机械精度。

方法

为了精确比较机械精度,选择一种立体定向系统作为两种方法的参考。对固定在框架上的丙烯酸体模进行薄层CT扫描,并使用定位器使软件能够识别坐标系。对于五个体模靶点中的每一个,规划了两条不同的轨迹,从而产生10条轨迹。进行了一系列五次重复,每次基于新的CT扫描。因此,每种方法分析了50条轨迹。将最终套管位置的X射线与规划数据融合。使用机器人软件直观地确定目标点以及机器人或框架引导探针端点的坐标。应用欧几里得距离计算目标点误差(TPE)。分别计算沿轨迹的深度偏差和横向偏差。

结果

机器人技术的精度显著更高,算术TPE平均值为0.53毫米(95%CI 0.41 - 0.55毫米),而立体定向技术为0.72毫米(95%CI 0.63 - 0.8毫米)(P < 0.05)。在机器人技术中,沿轨迹的平均深度偏差为 -0.22毫米(95%CI -0.25至 -0.14毫米)。平均横向偏差为0.43毫米(95%CI 0.32 - 0.49毫米)。在基于框架的立体定向技术中,平均深度偏差为 -0.20毫米(95%CI -0.26至 -0.14毫米),平均横向偏差为0.65毫米(95%CI 0.55 - 0.74毫米)。

结论

机器人和基于框架的方法均证明是准确的。机器人手术显示出显著更高的精度。对于两种方法,手术过程中出现的手术因素可能对整体精度有更相关的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4496/9063629/402bfadfffe4/fnbot-16-762317-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验