基于切割扭矩的脊柱手术裂缝检测

IF 3.4 Q2 ENGINEERING, BIOMEDICAL
E. Saghbiny;L. Leblanc;A. Harlé;C. Bobbio;R. Vialle;G. Morel;B. Tamadazte
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引用次数: 0

摘要

椎弓根螺钉的精确置入对各种脊柱介入治疗至关重要,要求精确的几何排列,同时也存在固有的风险。研究表明,如果椎弓根螺钉放置不精确,并发症发生率可达 18%。为了提高椎弓根螺钉置入的精确度和安全性,我们开发了一种配备多个传感器的机器人系统,并搭配了一种能够识别椎管内潜在破口的破口检测算法。破口检测算法是通过分析钻孔系统的切割扭矩而构思出来的。为了评估所开发的机器人解决方案和破口检测算法的有效性,我们进行了一次体外实验。验证过程中使用的数据(如切割扭矩、位置、速度等)是通过在新鲜猪椎骨上钻 80 个椎弓根收集的。结果表明,所提出的算法能在 96.42% 的情况下预测破损,即检测点(钻孔停止点)与破损点之间的距离在 2 毫米以内。在一个案例中,由于钻孔轨迹明显偏向内侧,导致在较早的位置与皮质骨发生初始相互作用,因此检测发生的时间比预期的要早。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breach Detection in Spine Surgery Based on Cutting Torque
The accurate placement of pedicle screws is crucial for various spinal interventions, demanding precise geometric alignment while carrying inherent risks. Studies show that the rate of complications can reach up to 18% in case of imprecise placement of pedicle screws. To enhance the precision and safety of pedicle screw placement, we have developed a robotic system equipped with several sensors and paired with a breach detection algorithm capable of identifying potential breaches in the spinal canal. The breach detection algorithm was conceptualized through an analysis of the cutting torque of the drill system. An ex-vivo experiment was conducted to assess the effectiveness of the developed robotic solution and breach detection algorithm. The data (e.g., cutting torque, position, velocity, etc.) used during the validation were collected by drilling 80 pedicles in fresh porcine vertebrae. The results demonstrated that the proposed algorithm could predict breaches in 96.42% of cases, i.e., the distance between the detected point (drilling stop) and the point of the breach is within 2 mm. In a single instance, the detection occurred earlier than anticipated due to the trajectory being oriented significantly medially, resulting in an initial interaction with the cortical bone at an earlier point.
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CiteScore
6.80
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