Shi Zhongjie, Li Dongfeng, Chen Sifang, Gao Xin, Li Hongjia, Liu Xiyao, Li Zhangyu, Wang Zhanxiang
School of Medicine, Xiamen University, Xiamen, 361000, China.
The First Affiliated Hospital of Xiamen University, Xiamen, 361000, China.
Acta Neurochir (Wien). 2025 May 28;167(1):156. doi: 10.1007/s00701-025-06564-x.
To develop a flexible and open-source stereotactic surgical planning toolkit, validated through clinical data to assess its performance in frame registration and stereotactic neurosurgical planning.
BrainStereo was developed based on the Leksell stereotactic frame principles and the 3D Slicer platform. It features an interactive interface for frame registration based on the custom-designed Layerwise Max Intensity Tracking (LMIT) algorithm, automated target/entry point calculation, and real-time 3D visualization. A retrospective analysis of stereotactic CT data from two hospitals was conducted, comparing BrainStereo with standard planning software to evaluate accuracy and efficiency.
BrainStereo was developed as a comprehensive toolkit integrating frame registration, target and entry point computation, and dynamic 3D visualization. A total of 86 CT datasets from two hospitals were included. The root mean square error (RMSE) for frame registration was 0.56 ± 0.23 mm. Computation time for BrainStereo was 5.54 ± 1.16 min, significantly longer than the standard toolkit (4.75 ± 0.83 min, 95% CI: 4.57-4.92 min, p = 0.001), but showed a steeper learning curve. The mean Euclidean distance between target points from both toolkits was 0.82 ± 0.21 mm (95% CI: 0.74-0.90 mm), with no significant differences along the X, Y, and Z axes. Entry point deviations were 0.47° ± 0.37° (p = 0.07 for arc and p = 0.06 for ring). Bland-Altman analysis confirmed strong agreement, supporting BrainStereo's reliability for stereotactic neurosurgical planning.
BrainStereo is an open-source stereotactic planning tool that provides neurosurgeons and researchers with a flexible alternative to proprietary software. Integrated within 3D Slicer, it allows for adjustable parameters and modular functionality, addressing some of the limitations commonly associated with commercial solutions, such as hardware restrictions and limited adaptability. By offering open-source access, BrainStereo fosters transparency, collaboration, and broader accessibility, potentially advancing the field of stereotactic neurosurgery.
开发一个灵活的开源立体定向手术规划工具包,并通过临床数据进行验证,以评估其在框架配准和立体定向神经外科手术规划中的性能。
BrainStereo基于Leksell立体定向框架原理和3D Slicer平台开发。它具有一个基于定制设计的逐层最大强度跟踪(LMIT)算法的交互式框架配准界面、自动靶点/入点计算以及实时3D可视化功能。对两家医院的立体定向CT数据进行回顾性分析,将BrainStereo与标准规划软件进行比较,以评估准确性和效率。
BrainStereo被开发为一个集成框架配准、靶点和入点计算以及动态3D可视化的综合工具包。共纳入了来自两家医院的86个CT数据集。框架配准的均方根误差(RMSE)为0.56±0.23毫米。BrainStereo的计算时间为5.54±1.16分钟,显著长于标准工具包(4.75±0.83分钟,95%置信区间:4.57 - 4.92分钟,p = 0.001),但学习曲线更陡。两个工具包靶点之间的平均欧几里得距离为0.82±0.21毫米(95%置信区间:0.74 - 0.90毫米),沿X、Y和Z轴无显著差异。入点偏差为0.47°±0.37°(弧形为p = 0.07,环形为p = 0.06)。Bland - Altman分析证实了高度一致性,支持BrainStereo在立体定向神经外科手术规划中的可靠性。
BrainStereo是一个开源的立体定向规划工具,为神经外科医生和研究人员提供了一种灵活的替代专有软件的选择。它集成在3D Slicer中,允许调整参数和模块化功能,解决了一些与商业解决方案通常相关的局限性,如硬件限制和适应性有限。通过提供开源访问,BrainStereo促进了透明度、协作和更广泛的可及性,可能推动立体定向神经外科领域的发展。