A Workflow-Efficient Approach to Pre- and Post-Operative Assessment of Weight-Bearing Three-Dimensional Knee Kinematics.

Journal: The Journal of arthroplasty
Published Date:

Abstract

BACKGROUND: Knee kinematics during daily activities reflect disease severity preoperatively and are associated with clinical outcomes after total knee arthroplasty (TKA). It is widely believed that measured kinematics would be useful for preoperative planning and postoperative assessment. Despite decades-long interest in measuring three-dimensional (3D) knee kinematics, no methods are available for routine, practical clinical examinations. We report a clinically practical method utilizing machine-learning-enhanced software and upgraded C-arm fluoroscopy for the accurate and time-efficient measurement of pre-TKA and post-TKA 3D dynamic knee kinematics.

Authors

  • Scott A Banks
    Department of Mechanical & Aerospace Engineering, University of Florida, Gainesville, Florida; Orthopedic Driven Imaging LLC, Gainesville, Florida.
  • Gokce Yildirim
    Vent Creativity Corporation, New York, New York.
  • George Jachode
    Imaging Engineering LLC, Gainesville, Florida.
  • John Cox
    Emeritus Professor of Psychiatry, Keele University, Staffordshire, UK. Email: John6.Cox@gmail.com.
  • Oren Anderson
    Imaging Engineering LLC, Gainesville, Florida.
  • Andrew Jensen
    Department of Mechanical and Aerospace Engineering at the University of Florida, Gainesville, FL, USA.
  • J Dean Cole
    Jewett Orthopaedic Hospital, Orlando Health, Orlando, Florida.
  • Oliver Kessler
    Zentrum Für Orthopädie & Sport, Zurich, Switzerland.