Msallem Bilal, Veronesi Lara, Halbeisen Florian Samuel, Beyer Michel, Dragu Adrian, Thieringer Florian Markus
UniversityCenter for Orthopedics, Trauma and Plastic Surgery, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany.
Medical Additive Manufacturing Research Group (Swiss MAM), Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
Front Robot AI. 2025 Apr 16;12:1559483. doi: 10.3389/frobt.2025.1559483. eCollection 2025.
Conventional osteotomy tools, including drills and saws, have been associated with several limitations, such as restricted cutting geometry and the risk of heat-induced necrosis, which affects bone healing. Laser-based osteotomy systems have emerged as a promising solution for these constraints. This study aims to evaluate the accuracy of robot-guided laser osteotomy compared to conventional cutting-guided osteotomy based on surface scanning.
Ten 3D printed mandibular models were used to perform segmentectomy. Five models were treated with conventional osteotomies employing a cutting-guided saw technique, while the remaining five were subjected to laser osteotomy. Initially conducted using root mean square (RMS) values, the analysis has been expanded to reevaluate the angulation and distance deviation outcomes.
Precision analysis of the upper cutting plane revealed a statistically significant difference in distance deviation between the laser osteotomy group (0.48 mm) and the conventional osteotomy group (0.78 mm). In terms of angulation deviation, the laser osteotomy group exhibited, both in the upper and lower cutting planes, statistically significant results (2.19° and 2.86°) compared to the osteotomy group (5.15° and 8.12°).
Based on the observed angulation and distance deviations, it can be concluded that robot-guided laser systems achieve significantly higher accuracy in osteotomies than conventional cutting-guided systems currently available. Consistent with the findings of a prior study, these results confirm that robot-guided laser osteotomy provides substantial advantages, facilitating the seamless integration of precise virtual preoperative planning with exact execution in the human body.
传统的截骨工具,包括钻头和锯子,存在一些局限性,如切割几何形状受限以及热诱导坏死的风险,这会影响骨愈合。基于激光的截骨系统已成为解决这些限制的一种有前景的方案。本研究旨在评估与基于表面扫描的传统切割引导截骨术相比,机器人引导激光截骨术的准确性。
使用十个3D打印的下颌骨模型进行节段切除术。五个模型采用切割引导锯技术进行传统截骨术,其余五个接受激光截骨术。最初使用均方根(RMS)值进行分析,现扩展分析以重新评估角度和距离偏差结果。
对上切割平面的精度分析显示,激光截骨术组(0.48毫米)和传统截骨术组(0.78毫米)之间在距离偏差上存在统计学显著差异。在角度偏差方面,与截骨术组(5.15°和8.12°)相比,激光截骨术组在上、下切割平面均呈现出统计学显著结果(2.19°和2.86°)。
基于观察到的角度和距离偏差,可以得出结论,机器人引导激光系统在截骨术中的准确性明显高于目前可用的传统切割引导系统。与先前一项研究的结果一致,这些结果证实机器人引导激光截骨术具有显著优势,有助于将精确的虚拟术前规划与人体中的精确执行无缝整合。