# Does Resident Rotation Affect the Learning Curve of Active Robotic TKA? A Study of Surgical Efficiency and Radiographic Precision

**Authors:** Yong-Beom Park, Jin-Woong Jeon, Seong Hwan Kim, Han-Jun Lee

PMC · DOI: 10.3390/medicina62030533 · 2026-03-13

## TL;DR

This study shows that robotic TKA surgery becomes more efficient after 39 cases, even with rotating residents, without affecting precision.

## Contribution

The study identifies a learning curve for active robotic TKA and confirms its precision despite resident rotation.

## Key findings

- Operative time decreased by 20 minutes after the 39th case.
- Implant positioning and alignment remained precise throughout the study.
- Case number was the sole predictor of surgical duration.

## Abstract

Background and Objectives: Learning curves robotic arm-assisted total knee arthroplasty (TKA) are well-documented for semi-active systems, but evidence for advanced fully active robotic systems remains scarce. This study aimed to characterize the learning curve for operative time, implant positioning, and lower-limb alignment using a fully active robotic TKA system, specifically accounting for the impact of rotating resident involvement in a tertiary center. Materials and Methods: Sixty consecutive primary TKAs were performed using the advanced active robotic system (CUVIS-Joint®). The learning curve for operative time was evaluated using cumulative summation (CUSUM) analysis. To identify independent predictors of surgical duration and radiographic precision, a multivariate linear regression model was constructed, including case number, implant type, and resident rotation period as variables. Results: CUSUM analysis identified a statistically significant inflection point at the 39th case. Beyond this point, mean operative time decreased approximately 20 min (133.3 ± 13.5 vs. 113.8 ± 7.9 min, p < 0.001). Multivariate regression confirmed that case number was the sole independent predictor of operative time (p < 0.001). Notably, implant positioning and lower-limb alignment showed no detectable difference across the sequential cases (p > 0.05), maintaining high precision from the outset. Conclusions: Active robotic TKA demonstrated a learning curve for operative time that stabilized after 39 cases within a clinical setting of rotational resident participation. Radiographic accuracy remained consistent despite these educational requirements, supporting the technical feasibility and reliability of this advanced system for the management of end-stage knee osteoarthritis

## Full-text entities

- **Diseases:** end-stage knee osteoarthritis (MESH:D007676)

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13027700/full.md

---
Source: https://tomesphere.com/paper/PMC13027700