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SURGICAL

The learning curve for a novel, fluoroscopy‐based robotic‐assisted total hip arthroplasty system

Graham Buchan, Christian J. Hecht, Charles M. Lawrie, Peter K. Sculco, Atul F. Kamath

Year
2023
Citations
16

Abstract

BACKGROUND: Adoption of robotic-assisted total hip arthroplasty (RA-THA) systems can improve the accuracy of acetabular cup placement, but no group has reported the learning curve of novel, fluoroscopy-based RA-THA systems. METHODS: A learning-curve cumulative summation (LC-CUSUM) analysis was performed on a consecutive series of the first 100 patients who received fluoroscopy-based RA-THA by the study surgeon. Operative times and specific robotic timepoints were compared between learning and proficiency phases. RESULTS: Implementation of fluoroscopy-based RA-THA was associated with a learning curve of 12 cases. A 6-min increase in operative time was seen during the learning phase compared to the proficiency phase (44.3 ± 4.4 vs. 38.0 ± 7.1 min; p < 0.001), with a 3-min longer robotic cup impaction sequence during the learning phase (7.8 ± 1.9 vs. 4.8 ± 1.3 min; p < 0.001). CONCLUSION: Adoption of fluoroscopy-based RA-THA is associated with a brief learning curve of 12 cases, with the most significant improvements in surgical efficiency realised during acetabular cup placement.

Keywords

FluoroscopyCUSUMMedicineLearning curveTotal hip arthroplastyArea under the curveNuclear medicineSurgeryComputer scienceMathematics

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