The Impact of Workflow on Cutting Time for Partial Knee Arthroplasty

3 pages•Published: October 26, 2019

Emily Hampp, Laura Scholl, Md Haque, Chunyan Wu, Geoffrey Westrich and Michael Mont

Abstract

To date, there are no studies aimed at characterizing the active cutting time for a robotic-assisted PKA procedure and the impact of workflow. This study quantified the active cutting time for three medial PKA workflows using the same robotic-assisted system.
Three surgeons each prepared six cadaveric knees for PKA with robotic-assisted technology using one of three workflows: A) burr-only, using a legacy cutting system and burr design; B) burr-only, using a new cutting system and burr design; or C) planar, using a new cutting system, burr design and saw. For a burr-only workflow, the femur and tibia were prepared with a burr. For a planar workflow, the femur and tibia were prepared with a burr and saw. The total mean trigger time to complete all femoral or tibial bony resections was measured and statistically compared between workflows using ANOVA and Tukey Pairwise Comparison.
There was statistically significant less time required to prepare the femur and tibia in B and C, compared to A (p≤0.05). Less time was required in C than B, but this was not statistically significant (p>0.05). Workflow A took an average of 429±104 seconds (range, 314 to 529 seconds), B took an average of 302±40 seconds (range, 244 to 363 seconds), and C took an average of 236±50 seconds (range, 196 to 332 seconds).
The new burr design, when used with both burr-only and planar workflows, has the potential to be more efficient (30 and 45% faster, respectively) compared to the legacy burr using the burr-only workflow, for a medial PKA. Bone resection time should be investigated in a clinical setting.

Keyphrases: cutting time, pka, robotic assisted

In: Patrick Meere and Ferdinando Rodriguez Y Baena (editors). CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 3, pages 166-168.

Links:	https://easychair.org/publications/paper/Lx9k
	https://doi.org/10.29007/xj7f

BibTeX entry

@inproceedings{CAOS2019:Impact_Workflow_Cutting_Time,
  author    = {Emily Hampp and Laura Scholl and Md Haque and Chunyan Wu and Geoffrey Westrich and Michael Mont},
  title     = {The Impact of Workflow on Cutting Time for Partial Knee Arthroplasty},
  booktitle = {CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Patrick Meere and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/Lx9k},
  doi       = {10.29007/xj7f},
  pages     = {166-168},
  year      = {2019}}

Download PDF Open PDF in browser