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Deutscher Kongress für Orthopädie und Unfallchirurgie 2025 (DKOU 2025)

Deutsche Gesellschaft für Orthopädie und Unfallchirurgie (DGOU), Deutsche Gesellschaft für Orthopädie und Orthopädische Chirurgie (DGOOC), Deutsche Gesellschaft für Unfallchirurgie (DGU), Berufsverband für Orthopädie und Unfallchirurgie (BVOU)
28.-31.10.2025
Berlin

Meeting Abstract

Inherent bias in coronal knee axis measurement by ROSA Zimmer Biomet pre-op planning

Michał Duchniewicz - University of Cambridge, School of Clinical Medicine, Cambridge, UK; Universität des Saarlandes, Homburg (Saar), Deutschland
Aly Shaaban - University of Cambridge, School of Clinical Medicine, Cambridge, UK
Manuel Müller - Universität des Saarlandes, Homburg (Saar), Deutschland
Philip Anderson - University of Würzburg, Würzburg, Deutschland
Lars Goebel - Universität des Saarlandes, Homburg (Saar), Deutschland
Patrick Orth - Universität des Saarlandes, Homburg (Saar), Deutschland; Ruhr University Bochum, Bad Oeynhausen, Deutschland
Milan Anton Wolf - Universität des Saarlandes, Homburg (Saar), Deutschland
Felix Bachelier - Universität des Saarlandes, Homburg (Saar), Deutschland
Stefan Landgraeber - Universität des Saarlandes, Homburg (Saar), Deutschland
Philipp Winter - Universität des Saarlandes, Homburg (Saar), Deutschland

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Objectives and questions: We assessed the inherent biases, pre-procedural planning accuracy using 2D to 3D X-Atlas®, and final knee axis outcomes of the ROSA® Knee System (Zimmer Biomet, Warsaw, IN).

Material and methods: 55 patients who underwent robotic-assisted knee replacement using ROSA® Knee System (Zimmer Biomet, Warsaw, IN) at a single centre were included. Pre-procedural measurements performed by ROSA were compared to those performed by senior consultants. Component sizes predicted by ROSA® were compared to those implanted. Final axis measurement was taken during the procedure.

Results: Femur components were exactly matched in (83.64%) cases, accurately matched in further 8 (14.55%), and inaccurate for only 1 (1.82%). Tibial component sizes were exactly matched by the planning for 39 (70.91%), accurately for 12 (21.82%), inaccurately for 4 (7.27%). ANOVA did not show statistically significant differences between the predicted and implanted femur (p = 0.96) nor tibia components (p = 0.27). We show that ROSA® pre-procedural planning has a statistically significant bias (p=0.001) of 0.83 degrees into varus when assessing knee axis in the coronal plane when compared to senior consultant measurements. The average of final coronal knee axis was 0.37 degrees in varus (SD = 2.49).

Discussion and conclusions: ROSA® accurately predicts implanted component sizes. Despite small and statistically significant varus bias in initial knee axis assessment, the system results lay within the +/- 3 degrees of neutral knee axis, widely accepted knee replacement standard.