Maassen M M, Malthan D, Stallkamp J, Schäfer A, Dammann F, Schwaderer E, Zenner H P
Universitätsklinik für Hals-, Nasen- und Ohrenheilkunde, Tübingen.
HNO. 2006 Feb;54(2):105-11. doi: 10.1007/s00106-005-1283-5.
Implanting active hearing devices in the lateral base of the skull requires high-precision, secure fixation of the electromagnetic transducer and long-life anchorage using osteosynthetic fixation plates referred to as mountain brackets. Nonlinear distortion in the acoustic signal path and consecutive implant loosening can only be avoided by exact osseous milling to create the necessary cavity bed while avoiding excessive milling. Robot technology is ideal for high-precision milling. However, safety measures are necessary in order to prevent errors from occurring during the reduction process. Ideally, a robot should be guided by a navigation system. However, robotic systems so far available do not yet have an integrated global navigation system.
We used an animal model under laboratory conditions to examine the extent to which the semiautomatic ROBIN assistant system developed could be expected to increase osseous milling accuracy before implanting active electronic hearing devices into the recipient tissue in the cranium. An existing prototype system for robot-assisted skull base surgery was equipped with laser sensors for geometric measurement of the operation site. The three-dimensional measurement data was compared with CT simulation data before, during, and after the robot-assisted operation. The experiments were conducted on test objects as well as on animal models.
Under ideal conditions, the operation site could be measured at a spatial resolution of better than 0.02 mm in each dimension. However, reflections and impurities in the operation site from bleeding and rinsing fluids did have a considerable effect on data collection, necessitating specialised registering procedures. Using an error-tolerant procedure specifically developed, the effective registering error could be kept under 0.3 mm. After milling, the resulting shape matched the intended form at an accuracy level of 0.8 mm.
The results show that robot systems can reach the accuracy required for reliable microsurgery on the cranial base. High-resolution laser-based geometric measurement of the operation site enables head registration without additional artificial landmarks. During the navigated operation, the procedure can be used to ensure that the resulting cavity matches the intended shape as determined in the preoperative planning phase. This will enable quantitative analysis of, and improvement in the quality of robot-assisted surgery in the future.
在颅底外侧植入有源听力设备需要高精度、安全地固定电磁换能器,并使用称为山形支架的骨合成固定板实现长期锚固。只有通过精确的骨铣削来创建必要的腔床,同时避免过度铣削,才能避免声信号路径中的非线性失真和连续的植入物松动。机器人技术非常适合高精度铣削。然而,为防止在复位过程中出现错误,需要采取安全措施。理想情况下,机器人应由导航系统引导。然而,目前可用的机器人系统尚未具备集成的全局导航系统。
我们在实验室条件下使用动物模型,研究在将有源电子听力设备植入颅骨接受组织之前,所开发的半自动ROBIN辅助系统在多大程度上有望提高骨铣削精度。现有的机器人辅助颅底手术原型系统配备了用于手术部位几何测量的激光传感器。在机器人辅助手术前、手术中和手术后,将三维测量数据与CT模拟数据进行比较。实验在测试对象以及动物模型上进行。
在理想条件下,手术部位在每个维度上的空间分辨率均可优于0.02毫米进行测量。然而,手术部位因出血和冲洗液产生的反射和杂质对数据采集有相当大的影响,因此需要专门的配准程序。使用专门开发的容错程序,有效配准误差可保持在0.3毫米以下。铣削后,所得形状与预期形状的匹配精度达到0.8毫米。
结果表明,机器人系统能够达到颅底可靠显微手术所需的精度。基于高分辨率激光的手术部位几何测量无需额外的人工标记即可实现头部配准。在导航手术过程中,该程序可用于确保所形成的腔与术前规划阶段确定的预期形状相匹配。这将有助于未来对机器人辅助手术进行定量分析并提高其质量。