High degree of accuracy of a novel image free handheld robot for unicondylar knee arthroplasty in a cadaveric study

Jess H. Lonner, Julie R. Smith, Frederic Picard, Brian Hamlin, Philip J. Rowe, Philip E. Riches

Research output: Contribution to journalArticlepeer-review

84 Citations (Scopus)
170 Downloads (Pure)

Abstract

Surgical robotics has been shown to improve the accuracy of bone preparation and soft tissue balance in unicondylar knee arthroplasty (UKA). However, although extensive data have emerged with regard to a CT scan-based haptically constrained robotic arm, little is known about the accuracy of a newer alternative, an imageless robotic system. We assessed the accuracy of a novel imageless semiautonomous freehand robotic sculpting system in performing bone resection and preparation in UKA using cadaveric specimens. In this controlled study, we compared the planned and final implant placement in 25 cadaveric specimens undergoing UKA using the new tool. A quantitative analysis was performed to determine the translational, angular, and rotational differences between the planned and achieved positions of the implants. The femoral implant rotational mean error was 1.04° to 1.88° and mean translational error was 0.72 to 1.29 mm across the three planes. The tibial implant rotational mean error was 1.48° to 1.98° and the mean translational error was 0.79 to 1.27 mm across the three planes. The image-free robotic sculpting tool achieved accurate implementation of the surgical plan with small errors in implant placement. The next step will be to determine whether accurate implant placement translates into a clinical and functional benefit for the patient.
Original languageEnglish
Pages (from-to)206-212
Number of pages7
JournalClinical Orthopaedics and Related Research
Volume473
Issue number1
Early online date8 Jul 2014
DOIs
Publication statusPublished - 31 Jan 2015

Keywords

  • surgical robotics
  • image free robot
  • knee arthroplasty
  • robotic sculpting system

Fingerprint

Dive into the research topics of 'High degree of accuracy of a novel image free handheld robot for unicondylar knee arthroplasty in a cadaveric study'. Together they form a unique fingerprint.

Cite this