A 3D Printed Mechanical Model of the Knee to Detect and Avoid Total Knee Replacement Surgery Errors

Mercader, Alexandra; Röttinger, Timon; Bigdeli, Amir K.; Röttinger, Heinz; Lueth, Tim C.

doi:10.1109/icra48506.2021.9561403

Cited by 1 publication

(1 citation statement)

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“…Despite the clear need for a personalized functional simulator of the knee, to our knowledge, only two examples are available in the literature. The first (Mercader et al , 2021)is, however, a planar simplification, modelingthe patient motion only in the sagittal planes by means of the well-known four-bar linkage, missing the internal/external and ab/adduction rotation and the medial/lateral translation of the knee. Also, the simulated kinematicsis rigidly dictated by the mechanism and thus it does not respond to surgical modifications.…”

Section: Introductionmentioning

confidence: 99%

A 3D-printed, dynamic, patient-specific knee simulator

Conconi,

Sancisi,

Backus

et al. 2024

RPJ

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Purpose 3D-printed devices proved their efficacy across different clinical applications, helping personalize medical treatments. This paper aims to present the procedure for the design and production of patient-specific dynamic simulators of the human knee. The scope of these simulators is to improve surgical outcomes, investigate the motion and load response of the human knee and standardize in-vitro experiments for testing orthopedic devices through a personalized physical representation of the patient’s joint. Design/methodology/approach This paper tested the approach on three volunteers. For each, a patient-specific mathematical joint model was defined from an magnetic resonance imaging (MRI) of the knee. The model guided the CAD design of the simulators, which was then realized through stereolithography printing. Manufacturing accuracy was tested by quantifying the differences between 3D-printed and CAD geometry. To assess the simulator functionality, its motion was measured through a stereophotogrammetric system and compared with the natural tibio-femoral motion of the volunteers, measured as a sequence of static MRI. Findings The 3D-printing accuracy was very high, with average differences between ideal and printed parts below ± 0.1 mm. However, the assembly of different 3D-printed parts resulted in a higher average error of 0.97 mm and peak values of 2.33 mm. Despite that, the rotational and translational accuracy of the simulator was about 5° and 4 mm, respectively. Originality/value Although improvements in the production process are needed, the proposed simulators successfully replicated the individual articular behavior. The proposed approach is general and thus extendible to other articulations.

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Section: Introductionmentioning

confidence: 99%