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Published in: Knee Surgery, Sports Traumatology, Arthroscopy 8/2014

01-08-2014 | Knee

Assessment of accuracy of robotically assisted unicompartmental arthroplasty

Authors: Ali Mofidi, Johannes F. Plate, Bo Lu, Michael A. Conditt, Jason E. Lang, Gary G. Poehling, Riyaz H. Jinnah

Published in: Knee Surgery, Sports Traumatology, Arthroscopy | Issue 8/2014

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Abstract

Purpose

The purpose of this study was to analyse the accuracy of component placement during unicompartmental knee arthroplasty (UKA) using a robotic-assisted system.

Methods

Two hundred and six patients (232 knees) who underwent medial robotic-assisted UKA were retrospectively studied. Femoral and tibial sagittal and coronal alignments were measured in the post-operative radiographs and were compared with the equivalent measurements collected during the intra-operative period by the robotic system. Mismatch between pre-planning and post-operative radiography was assessed against accuracy of the prosthesis insertion.

Results

Robotic-assisted surgery for medial UKA resulted in an average difference of 2.2° ± 1.7° to 3.6° ± 3.3° depending on the component and radiographic view between the intra-operatively planned and post-operative measurements. Mismatch between pre-planning and post-operative radiography (inaccuracy) was related to improper cementing technique of the prosthesis in all measurements (except for tibial sagittal axis) rather than wrong bony cuts performed by the robotic arm.

Conclusion

Robotic-assisted medial UKA results in accurate prosthesis position. Inaccuracy may be attributed to suboptimal cementing technique.

Level of evidence

Comparative retrospective study, Level III.
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Metadata
Title
Assessment of accuracy of robotically assisted unicompartmental arthroplasty
Authors
Ali Mofidi
Johannes F. Plate
Bo Lu
Michael A. Conditt
Jason E. Lang
Gary G. Poehling
Riyaz H. Jinnah
Publication date
01-08-2014
Publisher
Springer Berlin Heidelberg
Published in
Knee Surgery, Sports Traumatology, Arthroscopy / Issue 8/2014
Print ISSN: 0942-2056
Electronic ISSN: 1433-7347
DOI
https://doi.org/10.1007/s00167-014-2969-6

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