Image‐based robotics enhance precision and efficiency in lateral UKA: A comparative study of 135 UKAs
Clément Favroul, Cécile Batailler, Elsayed Ahmed Abdelatif, Elvire Servıen, Sébastien Lustıg
- 发表年份
- 2025
- 引用次数
- 1
摘要
PURPOSE: Robotic-assisted lateral unicompartmental knee arthroplasty (UKA) remains technically demanding due to the complex biomechanics of the lateral compartment. Image-based (IBRA) and imageless (ILRA) robotic systems have both demonstrated superior accuracy compared to conventional mechanical instrumentation, but have not yet been directly compared in lateral UKA. This study aimed to evaluate their respective accuracy and surgical efficiency. METHODS: This retrospective study included 135 patients who underwent lateral UKA using either IBRA or ILRA systems. Post-operative radiographic outcomes included hip-knee-ankle (HKA) alignment, posterior tibial slope (PTS) and joint line (JL) restoration. Surgical time was assessed as a secondary outcome. Target zones were HKA 180°-185°, PTS 2°-8° and JL ± 2 mm. RESULTS: IBRA showed higher rates of HKA inliers (94.9% vs. 78.9%, p = 0.011) and JL restoration (76.2% vs. 31.6%, p < 0.001) compared to ILRA. PTS accuracy was similar between groups (p = 0.30). Operative time was significantly shorter with IBRA (61.6 ± 13.5 vs. 81.9 ± 26.1 min, p < 0.001). CONCLUSION: IBRA outperformed ILRA in terms of alignment accuracy and surgical duration. These findings support the added value of IBRA systems in lateral UKA. LEVEL OF EVIDENCE: Level IV, retrospective case series study.
关键词
相关论文
Artificial intelligence: a modern approach
1995
Are we ready for autonomous driving? The KITTI vision benchmark suite
Andreas Geiger, P Lenz, R. Urtasun
2012
Self-Organizing Maps
Teuvo Kohonen
1995
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller 等 4 位作者
2013