Arthroplasty Today · 2024 · 14 citations · 33 references
MedicineOrthopaedic SurgeryOrthopedic SurgeryJoint Replacement SurgeryMedical RoboticsOrthopedicsKnee ArthroplastyRobot-assisted SurgeryRobotic-assisted ArthroplastySurgical ApproachesSurgical ManagementSurgical RoboticsBone Resection AccuracyImplant Positioning AccuracyJoint AlignmentKnee Joint AlignmentLearning Curve EvaluationRobotic Arm-assisted SurgeryRobotic-assisted Knee ArthroplastySurgical Learning Curve
Background Robotic arm assisted total knee arthroplasty (RA-TKA) aims to improve accuracy in bone resection, implant positioning, and joint alignment compared to manual TKA (M-TKA). However, the learning curve of RA-TKA can disrupt operating room efficiency, increase complications, and raise costs. This study examines the operative time learning curve of RA-TKA using a single robotic system. Methods The study analyzed the first 80 RA-TKA and the last 80 M-TKA cases performed by a single surgeon using the VELYS robotic system after transitioning from M-TKA. Cases were subdivided into groups of 20 and compared to M-TKA cases. A cumulative summation analysis identified the learning curve phases. Results Three phases were identified: Phase 1 (initial learning, cases 1-9), Phase 2 (increased competence, plateau from cases 10-52), and Phase 3 (post-learning, optimized performance from cases 53-80). Mean surgical time for RA-TKA was 42.4 ± 8.7 minutes, compared to 35.3 ± 7.0 minutes for M-TKA ( P < .001). Early RA-TKA cases (1-20) had significantly longer times than late RA-TKA cases (61-80) and M-TKA cases ( P < .05). Late RA-TKA times were comparable to M-TKA ( P = .06). Conclusions RA-TKA is an enabling surgical tool that can be integrated efficiently into a surgical workflow with a rapid learning curve of 9 cases.
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Estimating regression models with unknown break‐points
Vito M. R. Muggeo · Statistics in Medicine · 2003 · 2.3K citations
Babar Kayani, Sujith Konan, S. S. Huq et al. · Knee Surgery Sports Traumatology Arthroscopy · 2018 · 324 citations · Full text
Young-Hoo Kim, Sung-Hwan Yoon, Jang-Won Park · Clinical Orthopaedics and Related Research · 2019 · 284 citations · Full text