Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Otol Neurotol. 2011 Jan;32(1):11-6. doi: 10.1097/MAO.0b013e3181fcee9e.
Using image-guided surgical techniques, we propose that an industrial robot can be programmed to safely, effectively, and efficiently perform a mastoidectomy.
Whereas robotics is a mature field in many surgical applications, robots have yet to be clinically used in otologic surgery despite significant advantages including reliability and precision.
We designed a robotic system that incorporates custom software with an industrial robot to manipulate a surgical drill through a complex milling profile. The software controls the movements of the robot based on real-time feedback from a commercially available optical tracking system. The desired path of the drill to remove the desired volume of mastoid bone was planned using computed tomographic scans of cadaveric specimens and then implemented using the robotic system. Bone-implanted fiducial markers were used to provide accurate registration between computed tomographic and physical space.
A mastoid cavity was milled on 3 cadaveric specimens with a 5-mm fluted ball bit. Postmilling computed tomographic scans showed that, for the 3 specimens, 97.70%, 99.99%, and 96.05% of the target region was ablated without violation of any critical feature.
To the best of our knowledge, this is the first time that a robot has been used to perform a mastoidectomy. Although significant hurdles remain to translate this technology to clinical use, we have shown that it is feasible. The prospect of reducing surgical time and enhancing patient safety by replacing human hand-eye coordination with machine precision motivates future work toward translating this technique to clinical use.
我们提出,使用图像引导手术技术,工业机器人可以被编程以安全、有效且高效地进行乳突切除术。
尽管机器人技术在许多外科应用中已经成熟,但机器人尚未在耳科学手术中得到临床应用,尽管其具有可靠性和精度等显著优势。
我们设计了一种机器人系统,该系统将定制软件与工业机器人相结合,以通过复杂的铣削轮廓来操纵手术钻头。软件根据商业可用的光学跟踪系统的实时反馈来控制机器人的运动。使用尸体标本的计算机断层扫描来规划要去除的乳突骨的期望钻头路径,然后使用机器人系统来实现。骨植入基准标记用于在计算机断层扫描和物理空间之间提供精确的配准。
使用 5 毫米带槽球钻头在 3 个尸体标本上铣削出乳突腔。铣削后的计算机断层扫描显示,对于这 3 个标本,有 97.70%、99.99%和 96.05%的目标区域被消融,而没有违反任何关键特征。
据我们所知,这是首次使用机器人进行乳突切除术。尽管要将这项技术转化为临床应用还有很大的障碍,但我们已经证明这是可行的。通过用机器精度代替人手眼协调来减少手术时间并提高患者安全性的前景,激励我们未来将这项技术转化为临床应用。