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SURGICAL

Handheld imageless robotic total knee arthroplasty improves accuracy and early clinical outcomes when compared with navigation

Joshua Yeuk-Shun Tran, Gloria Yan-Ting Lam, Tsz-Lung Choi, Rex Wang-Fung Mak, Jonathan Patrick Ng, Kevin Ki‐Wai Ho, Michael Tim‐Yun Ong, Patrick Shu‐Hang Yung

Year
2025
Citations
3
Access
Open access

Abstract

BACKGROUND: This study compared imageless robotic-assisted total knee arthroplasty (RATKA) with accelerometer-based navigation (ABN) systems in terms of surgical accuracy and early clinical outcomes. METHODS: A retrospective analysis was conducted on 153 patients (178 knees) who had undergone primary TKA from 2017 to 2023. Surgical accuracy and functional outcomes were assessed up to 12 months post-operation using the Chi-square test, Student's t-test, and ANCOVA. Subgroup analyses based on patient demographics were also conducted. RESULTS: Among 153 patients, 101 underwent RATKA, and 52 received ABN. RATKA demonstrated superior alignment accuracy with a significantly lower deviation from the planned alignment (P < 0.05). Additionally, RATKA led to significantly better postoperative functional scores at 6 weeks (P = 0.001) and 3 months (P = 0.001), even after adjusting for preoperative functional differences. CONCLUSIONS: RATKA offers enhanced precision and improves early recovery compared to ABN, supporting its potential as a preferred technology for TKA. Its ability to optimize kinematic alignment may contribute to superior patient outcomes. Compared to ABN, RATKA provides a unique advantage by achieving greater accuracy in planned alignment, which may translate into improved functional recovery. Further research with larger cohorts is recommended to confirm these findings.

Keywords

MedicineTotal knee arthroplastyDemographicsPhysical medicine and rehabilitationPhysical therapyAnalysis of covarianceKinematicsSurgeryComputer scienceMachine learning

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