Rothman Orthopaedic Institute at Thomas Jefferson University, 925 Chestnut St, Philadelphia, PA, 19107, USA.
Int Orthop. 2023 Feb;47(2):365-373. doi: 10.1007/s00264-022-05411-3. Epub 2022 May 9.
The use of robotics in total knee arthroplasty (TKA) is growing at an exponential rate. Despite the improved accuracy and reproducibility of robotic-assisted TKA, consistent clinical benefits have yet to be determined, with most studies showing comparable functional outcomes and survivorship between robotic and conventional techniques. Given the success and durability of conventional TKA, measurable improvements in these outcomes with robotic assistance may be difficult to prove. Efforts to optimize component alignment within two degrees of neutral may be an attainable but misguided goal. Applying the "Wald Principles" of rationalization, it is possible that robotic technology may still prove beneficial, even when equivalent clinical outcomes as conventional methods, if we look beyond the obvious surrogate measures of success. Robotic systems may help to reduce inventory, streamline surgical trays, enhance workflows and surgical efficiency, optimize soft tissue balancing, improve surgeon ergonomics, and integrate artificial intelligence and machine learning algorithms into a broader digital ecosystem. This article explores these less obvious alternative benefits of robotic surgery in the field of TKA.
机器人技术在全膝关节置换术(TKA)中的应用正在呈指数级增长。尽管机器人辅助 TKA 提高了准确性和可重复性,但尚未确定其一致的临床益处,大多数研究表明机器人技术和传统技术之间的功能结果和存活率相当。鉴于传统 TKA 的成功和耐用性,机器人辅助在这些结果方面的可衡量的改进可能很难证明。努力将组件对准度优化到中立度的两个度数范围内可能是一个可以实现但有误导性的目标。如果我们超越传统方法的明显替代成功指标,那么应用“合理化的 Wald 原则”,即使机器人技术与传统方法具有相同的临床结果,它也可能仍然是有益的。机器人系统可以帮助减少库存、简化手术托盘、增强工作流程和手术效率、优化软组织平衡、改善外科医生的人体工程学,并将人工智能和机器学习算法集成到更广泛的数字生态系统中。本文探讨了机器人手术在 TKA 领域中这些不太明显的替代益处。