gms | German Medical Science

Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2024)

22. - 25.10.2024, Berlin

A systemic approach for addressing femoro-tibial translation in osteoarthritic knees in gait analysis

Meeting Abstract

  • presenting/speaker Simon Kuwert - Universitätsklinikum Schleswig-Holstein, Campus Kiel, Klinik für Orthopädie und Unfallchirurgie, Kiel, Germany
  • Mathis Wegner - Universitätsklinikum Schleswig-Holstein, Campus Kiel, Klinik für Orthopädie und Unfallchirurgie, Kiel, Germany
  • Stefan Kratzenstein - Institut für Sportwissenschaft, Kiel, Germany
  • Babak Moradi - Universitätsklinikum Schleswig-Holstein, Campus Kiel, Klinik für Orthopädie und Unfallchirurgie, Kiel, Germany

Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2024). Berlin, 22.-25.10.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. DocAB92-2149

doi: 10.3205/24dkou542, urn:nbn:de:0183-24dkou5420

Veröffentlicht: 21. Oktober 2024

© 2024 Kuwert et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Objectives: The aim of our study was to evaluate a parameter considering femorotibial translation in osteoarthritic knees in three-dimensional (3D) gait analysis to improve diagnosis and understanding of the pathophysiology.

Methods: All tests were performed using an optical system(OptiTrak, Natural Point, USA) with a capture rate of 100 Hz and reflective markers. The range of femorotibial translation was measured during the loading response [1]. The offset corresponded to the translation of the thigh segment in the local coordinate system of the tibial plateau.

First, we performed a motion analysis on an anatomical model to detect differences between two calculating models for the virtual marker, representing the centre of the tibial plateau. Second, we recorded four gait trials gait on one subject including a minimum of 14 gait cycles to determine the reliability.

Third, we conducted a case-control study with n=40 participants to address knee osteoarthritis.We included 29 patientswith unicompartmental knee osteoarthritis who were scheduled for unicompartmental knee arthroplasty (UKA) and 11 young, healthy controls. All subject agreed to the study protocol and were equipped with 18 reflective markers. The gait analysis included walking on a treadmill at a self-selected velocity. The femorotibial translation was calculated from a customized lower body model (Visual 3D, C-motion). Spatiotemporal and kinematic data were collected and participants completed patient-reported outcome measures (PROM) questionnaires. Statistical analysis was performed using Student's t-test and Mann-Whitney U for statistical significance (p<0.05).

Results and conclusion: The calculations of the virtual centre of the tibial plateau revealed no significant differences between the methods. The difference in the range of femorotibial translation in the loading response was 0.13 mm ± 0.1 mm in average for all planes between the methods.

Repetitive testing on a single subject demonstrated a strong correlation (r=0.76) for femorotibial translation during loading response across all planes and recordings.

We found significant differences in PROMs, spatiotemporal and kinematic parameters (p<0.01) comparing patients with knee osteoarthrosis with healthy controls. There were no statistically significant differencesin the femorotibial translation during the loading response in all three planes between the groups.The data showed a large variance between participants.

The data demonstrates the typical changes in patient-reported outcome measures (PROMs) and spatiotemporal and kinematic data for patients diagnosed with knee osteoarthritis. However, the setup was unable to reveal any differences in femorotibial translation between the patients and the control group.


References

1.
Perry J. Gait analysis. Normal and pathological function. Thorofare, NJ: Slack; 1992.