Tuecking Lars-René, Ettinger Max, Windhagen Henning, Savov Peter
Orthopädische Klinik der MHH im Diakovere Annastift, Anna-von-Borries-Str. 1-6, 30625, Hannover, Deutschland.
Orthopadie (Heidelb). 2022 Sep;51(9):727-738. doi: 10.1007/s00132-022-04286-x. Epub 2022 Aug 9.
Robotic-assisted arthroplasty has been rapidly entering clinical routine in recent years. The leading endoprosthesis manufacturers have all meanwhile placed robotic systems on the market, which, however, differ significantly from one another technically. Current systems are currently classified according to the degree of autonomy (active vs. semi-active vs. passive) and the data/image source (image-based: CT vs. X‑ray, imageless). Some systems already offer the possibility of robotic-assisted or navigated implantation of hip endoprostheses. In the following review article, the currently leading robotic systems will be presented and compared with regard to their characteristics. Furthermore, the analysis of the learning curves for the different systems, currently available cost analysis models and an outlook on future developments and challenges will be given.
近年来，机器人辅助关节置换术已迅速进入临床常规应用。与此同时，主要的关节假体制造商均已将机器人系统投放市场，然而，这些系统在技术上彼此差异显著。目前的系统根据自主程度（主动型、半主动型、被动型）和数据/图像来源（基于图像的：CT 与 X 光、无图像）进行分类。一些系统已经提供了机器人辅助或导航植入髋关节假体的可能性。在接下来的综述文章中，将介绍当前领先的机器人系统，并对其特点进行比较。此外，还将给出不同系统学习曲线的分析、当前可用的成本分析模型以及对未来发展和挑战的展望。
