25dkou006
10.3205/25dkou006
urn:nbn:de:0183-25dkou0067
Meeting Abstract
Inherent bias in coronal knee axis measurement by ROSA Zimmer Biomet pre-op planning
Duchniewicz
Duchniewicz
Michał
M
University of Cambridge, School of Clinical Medicine, Cambridge, UK
Universität des Saarlandes, Homburg (Saar), Deutschland
author
Shaaban
Shaaban
Aly
A
University of Cambridge, School of Clinical Medicine, Cambridge, UK
author
Müller
Müller
Manuel
M
Universität des Saarlandes, Homburg (Saar), Deutschland
author
Anderson
Anderson
Philip
P
University of Würzburg, Würzburg, Deutschland
author
Goebel
Goebel
Lars
L
Universität des Saarlandes, Homburg (Saar), Deutschland
author
Orth
Orth
Patrick
P
Universität des Saarlandes, Homburg (Saar), Deutschland
Ruhr University Bochum, Bad Oeynhausen, Deutschland
author
Wolf
Wolf
Milan Anton
MA
Universität des Saarlandes, Homburg (Saar), Deutschland
author
Bachelier
Bachelier
Felix
F
Universität des Saarlandes, Homburg (Saar), Deutschland
author
Landgraeber
Landgraeber
Stefan
S
Universität des Saarlandes, Homburg (Saar), Deutschland
author
Winter
Winter
Philipp
P
Universität des Saarlandes, Homburg (Saar), Deutschland
author
German Medical Science GMS Publishing House
Düsseldorf
610
20251031
engl
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung).
M0634
006
Deutsche Gesellschaft für Orthopädie und Unfallchirurgie
Deutsche Gesellschaft für Orthopädie und Orthopädische Chirurgie
Deutsche Gesellschaft für Unfallchirurgie
Berufsverband für Orthopädie und Unfallchirurgie
Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2025)
Poster | Digitalisierung
Berlin
20251028
20251031
AB11-4154
TextObjectives 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.
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