Dynamic functional outcome assessment in navigated TKR using gait analysis
Dillon, J.M. and Clarke, J.V. and Kinninmonth, A. and Gregori, A. and Picard, F (2008) Dynamic functional outcome assessment in navigated TKR using gait analysis. Journal of Bone and Joint Surgery, British Volume, 90-B (Supp I). p. 567. ISSN 0301-620X
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Performing Total Knee Replacement (TKR) surgery using computer assisted navigation systems results in more reproducibly accurate component alignment. Navigation allows real time evaluation of passive knee behaviour throughout flexion. These kinematic measurements reflect tibial rotation about the femoral condyles, patellar tracking and soft tissue balance throughout surgery. In this study, we aim to study dynamic knee function in navigated and standard instrumentation TKR patients performing a range of everyday activities using gait analysis.A prospective randomised controlled trial evaluated the functional outcome using gait analysis with 20 patients in each of three groups – Standard, Navigated and Control. The same implant (Scorpio) and navigation system (Strykervision) was used for each patient. The control group were subjects with no history of knee pathology or gait abnormality. Using an 8-camera Vicon motion analysis system set at 120Hz (real-time motion), we assessed the following functional activies: walking, rising from/sitting in chair, ascending/descending stairs. One functional outcome measure we have analysed so far is the maximum flexion angle.The maximum flexion angle was recorded for each activity in standard, navigated and control groups respectively. ANOVA was performed, with significance set at p<0.05.
ORCID iDs
Dillon, J.M., Clarke, J.V. ORCID: https://orcid.org/0000-0003-4499-7183, Kinninmonth, A., Gregori, A. and Picard, F;-
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Item type: Article ID code: 49786 Dates: DateEvent1 August 2008PublishedSubjects: Technology > Engineering (General). Civil engineering (General) > Bioengineering Department: Faculty of Engineering > Bioengineering
Faculty of Engineering > Biomedical EngineeringDepositing user: Pure Administrator Date deposited: 14 Oct 2014 12:25 Last modified: 11 Nov 2024 10:48 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/49786