Robot-assisted total knee arthroplasty improves mechanical alignment and accuracy of component positioning compared to the conventional technique.
J Exp Orthop
; 9(1): 108, 2022 Oct 28.
Article
em En
| MEDLINE
| ID: mdl-36302997
ABSTRACT
PURPOSE:
The purpose of this study was to compare the mechanical axis, accuracy of component positioning, and polyethylene liner thickness between robot-assisted total knee arthroplasty (TKA) and conventional TKA.METHODS:
From July 2020 to December 2020, 154 TKAs were performed in 110 patients with Kellgren-Lawrence grade IV varus knees using a robot-assisted system (MAKO group). Additionally, 110 propensity score-matched patients who had undergone primary conventional TKA were chosen in a one-to-one ratio for the conventional group. Post-operative radiographs were used to evaluate mechanical axis and component coronal and sagittal positioning. The polyethylene liner thickness was investigated. The respective mean error values and outliers were obtained for the two study groups and were compared to determine the mechanical axis and the accuracy of the postoperative component positioning.RESULTS:
Patients in the MAKO group achieved better accuracy than those in the conventional group in terms of postoperative mean mechanical axis (1.9Ë vs. 2.8Ë, p < 0.05), femur coronal inclination (91.2Ë vs. 91.8Ë, p < 0.05), tibia coronal inclination (90.8Ë vs. 91.1Ë, p < 0.05), and tibia sagittal inclination (90.7Ë vs. 91.7Ë, p < 0.05). However, there was no difference between the two groups in polyethylene liner thickness.CONCLUSIONS:
Robot-assisted TKA showed improved mechanical axis and higher accuracy of component positioning compared to the conventional TKA technique, with no significant difference in polyethylene liner thickness between the two groups. Long-term follow-up studies are needed to compare the clinical outcomes of robot-assisted TKA. LEVEL OF EVIDENCE IV.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
/
Prognostic_studies
Idioma:
En
Revista:
J Exp Orthop
Ano de publicação:
2022
Tipo de documento:
Article