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Robotic-arm assisted versus manual total knee arthroplasty: Functional gait analysis from a randomised controlled trial

Lookup NU author(s): Bola Ajekigbe, Jayasree Ramaskandhan, Steven Galloway, Professor David Deehan

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Abstract

© 2024The primary aim of this study was to assess whether measures of functional gait assessment were improved with robotic total knee arthroplasty (rTKA) when compared to manual TKA (mTKA). Gait analysis was performed as part of a randomised controlled trial. Walking and relaxed standing assessments were performed using an instrumented mat system. Spatiotemporal variables included gait cycle parameters, anteroposterior and lateral sway, and plantar pressure ratios. Measurements were recorded at pre-operative baseline and 12 months post-operatively. 100 patients were randomised, 50 to each group. Complete gait cycle data were available for 26 rTKA and 23 mTKA patients. Cadence and walking velocity showed overall improvements following surgery, with no difference between the two groups. In the operated limb, overall step and stride times decreased, while step and stride lengths increased. Subgroup analysis showed reduced propulsion time with rTKA, and decreased foot flat and mid stance times with mTKA. Lateral sway was decreased in the rTKA group. Plantar pressure ratios showed an overall increase in hindfoot loading on the operated limb, with no difference between the two groups. No other significant differences were identified between rTKA and mTKA at 12 months, and limitations may include statistical error. A small sample of the study cohort was followed up; analysis may represent the results of satisfied patients with well-functioning TKA. Further study could incorporate proprioceptive and 3D gait analysis techniques to analyse knee kinetics and kinematics with robotic surgery. Pressure mapping could further subdivide the plantar surfaces to explore any nuances in differential loading.

Publication metadata

Author(s): Ajekigbe B, Ramaskandhan J, Clement N, Galloway S, Gabrov N, Smith K, Weir D, Deehan D

Publication type: Article

Publication status: Published

Journal: Journal of Biomechanics

Year: 2024

Volume: 169

Print publication date: 01/05/2024

Online publication date: 18/04/2024

Acceptance date: 16/04/2024

ISSN (print): 0021-9290

ISSN (electronic): 1873-2380

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.jbiomech.2024.112112

DOI: 10.1016/j.jbiomech.2024.112112

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