gms | German Medical Science

54. Jahrestagung der Norddeutschen Orthopädenvereinigung e. V.

Norddeutsche Orthopädenvereinigung

16.06. bis 18.06.2005, Hamburg

Gait analysis as diagnostic tool in patients with cervical myelopathy

Meeting Abstract

  • corresponding author R. Kothe - Klinik und Poliklinik für Orthopädie, Universitätsklinikum Hamburg-Eppendorf, Hamburg
  • G. Deuretzbacher - Hamburg
  • L. Papavero - Hamburg
  • W. Rüther - Hamburg

Norddeutsche Orthopädenvereinigung. 54. Jahrestagung der Norddeutschen Orthopädenvereinigung e.V.. Hamburg, 16.-18.06.2005. Düsseldorf, Köln: German Medical Science; 2005. Doc05novEP23

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/nov2005/05nov105.shtml

Veröffentlicht: 13. Juni 2005

© 2005 Kothe et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Introduction

The management of patients with cervical spondylotic myelopathy (CSM) is still a matter of controversy. Clinical scores depend on subjective judgement, and CT or MRI show structural changes only. Electrophysiological methods have been shown to be sensitive, but not very specific. The purpose of the study was to investigate if gait disturbances due to CSM can be detected by gait analysis.

Methods

10 patients with cervical myelopathy were evaluated preoperative, 1 week and 1 year after operation. Gait analysis was performed using an optoelectronic-motion-analysis-system (VICON), two force plates (Kistler plates) and a ten-channel surface EMG. Data collection of joint motion, electromyographic activity and ground-reaction force (GFR) were obtained simultaneously in real time with 24 gait cycles for each individual. For further evaluation 58 parameters relative to time-distance, kinematic and kinetic variables were calculated and statistically analysed. Data were compared with a control group of healthy subjects.

Results

Significant gait abnormalities could be identified in patients with SCM. Kinematic changes were seen at the hip, knee and ankle. Kinetic variables showed significant differences with respect to the GRF and the joint moments. Early changes were seen one week after surgical decompression with no further improvement after one year.

Discussion

Gait disturbances due to SCM could be quantified by gait analysis. Decompression surgery led to early changes in gait patterns that did not further improve after 1 year. Future studies will investigate if the changes detected by gait analysis correlate with clinical improvement in patients with CSM.