Evidence map›Paper›PMID 40423815›Full record

ArticleArchives of orthopaedic and trauma surgery2025

The usability of robotic-assisted systems for total knee arthroplasty can be improved without hindering the accuracy of the bone cuts.

Killian Cosendey, Julien Stanovici, Jaad Mahlouly, Patrick Omoumi, Brigitte M Jolles, Julien Favre

Abstract read
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Article in Archives of orthopaedic and trauma surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Killian CosendeyDepartment of Orthopedic Surgery and Traumatology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland. Killian.cosendey@chuv.ch.ORCID http://orcid.org/0000-0003-3997-1616
Julien StanoviciDepartment of Orthopedic Surgery and Traumatology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.
Jaad MahloulyDepartment of Orthopedic Surgery and Traumatology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.
Patrick OmoumiDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.
Brigitte M JollesDepartment of Orthopedic Surgery and Traumatology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.
Julien FavreDepartment of Orthopedic Surgery and Traumatology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study assessed the bone cuts accuracy of a robotic-assisted system for total knee arthroplasty (TKA) that was recently upgraded. MATERIALS AND

methodsThree orthopaedic surgeons planned and executed TKA on 24 sawbones. Bone cut accuracy was assessed using CT scans, comparing the planning and the actual bone cuts in all six degrees-of-freedom.

resultsThe root-mean-square (RMS) values were below 2 mm or 2° for all error types, except for the medio-lateral position (2.4 mm) and internal-external rotation (2.3°) of the left tibias. The maximal amplitude of the 288 errors (6 degrees-of-freedom * 2 bones * 24 knees) was observed in tibial external rotation (3.2°). Most error types reported a bias, with limited variations among knees.

conclusionsThe errors were in the same range as those of the prior version of the system, suggesting that the improvements brought by the system upgrade were not obtained at the expense of accuracy.

Indexed as

Arthroplasty, Replacement, KneeRobotic Surgical ProceduresHumansTibiaTomography, X-Ray ComputedPositional and angular errorsRegistrationRobotic-assisted surgeryTotal knee arthroplasty

Identifiers

PMID40423815
PMCPMC12116841

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