在接受机器人辅助立体脑电图带头放置治疗的儿科患者中,比较了4种注册方法
Anzhela D Moskalik1, Zachary Wright2, Sirjan Mor1
11Department of Neurosurgery, University of California at Davis, Sacramento.
Journal of neurosurgery. Pediatrics
|January 23, 2026
概括
基于框架的注册,特别是用针和单个信托,为儿童的机器人辅助立体电脑学 (SEEG) 电极放置提供了最高的准确性. 年龄较小和骨较厚会增加位置错误.
科学领域:
- 神经外科 神经外科
- 医疗机器人 医疗机器人
- 儿科神经学 儿科神经学
背景情况:
- 机器人辅助立体电脑图 (SEEG) 是用于儿科电极放置的安全和准确方法.
- 了解影响SEEG准确性的因素是必不可少的,因为它的使用越来越多.
研究的目的:
- 为了比较四种不同注册方法的准确性,用于儿童的机器人辅助SEEG.
- 为了确定与领先位置错误相关的患者特定因素.
主要方法:
- 儿童患者进行机器人辅助SEEG的回顾性病例系列 (2019年1月 - 2022年4月).
- 使用四种注册技术进行准确性评估:基于激光,基于骨质信托,基于引脚+信托和基于框架.
- 统计分析包括Kruskal-Wallis,Wilcoxon测试和多变量线性回归.
主要成果:
- 引脚+信任技术在头骨内表 (0.6毫米) 和目标 (1.1毫米) 显示出最小的中位误差.
- 激光技术显示了最高的中位误差 (1.7mm在头骨内部,2.04mm在目标).
- 年龄较小和骨厚度增加独立地与更大的位置错误有关.
结论:
- 登记技术显著影响儿科患者机器人辅助SEEG的准确性.
- 基于的注册,特别是pins+fiducial,提供了卓越的准确性.
- 建议对年轻的患者和通过更厚的骨的轨迹保持谨慎.
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