Intraoperative passive knee kinematics during total knee arthroplasty surgery

Kathryn L. Young, Michael J. Dunbar, Glen Richardson, Janie L.Astephen Wilson

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Surgical navigation systems for total knee arthroplasty (TKA) surgery are capable of capturing passive three-dimensional (3D) angular joint movement patterns intraoperatively. Improved understanding of patient-specific knee kinematic changes between pre and post-implant states and their relationship with post-operative function may be important in optimizing TKA outcomes. However, a comprehensive characterization of the variability among patients has yet to be investigated. The objective of this study was to characterize the variability within frontal plane joint movement patterns intraoperatively during a passive knee flexion exercise. Three hundred and forty patients with severe knee osteoarthritis (OA) received a primary TKA using a navigation system. Passive kinematics were captured prior to (pre-implant), and after prosthesis insertion (post-implant). Principal component analysis (PCA) was used to capture characteristic patterns of knee angle kinematics among patients, to identify potential patient subgroups based on these patterns, and to examine the subgroup-specific changes in these patterns between pre- and post-implant states. The first four extracted patterns explained 99.9% of the diversity within the frontal plane angle patterns among the patients. Post-implant, the magnitude of the frontal plane angle shifted toward a neutral mechanical axis in all phenotypes, yet subtle pattern (shape of curvature) features of the pre-implant state persisted.

Original languageEnglish
Pages (from-to)1611-1619
Number of pages9
JournalJournal of Orthopaedic Research
Volume33
Issue number11
DOIs
Publication statusPublished - Nov 1 2015

Bibliographical note

Publisher Copyright:
© 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

ASJC Scopus Subject Areas

  • Orthopedics and Sports Medicine

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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