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Optimal Targeting Display for Navigated Pelvic Screw Insertions

5 pagesPublished: September 25, 2020

Abstract

Surgical navigation can be used for complex orthopaedic procedures, such as iliosacral screw fix- ations, to achieve accurate and efficient results [11]. Although there have been studies studying the impact of navigation systems on surgical outcomes [6, 3], we are not aware of any studies that have quantified the effect of how information regarding the surgical navigation scene is displayed to surgeons on conventional monitors. However, the display of information can have a measurable effect on both accuracy and time required to perform the navigated surgery, as the surgical scene can be presented in many different formats [9]. Optimizing surgical accuracy potentially helps improves patient safety by reducing screw malplacement [11], while optimiz- ing time efficiency reduces opportunity cost [1]. Therefore, we designed a study to determine the optimal visualizations for performing navigated pelvic screw insertions. The findings of this study can be used to more systematically design visualization components of a navigation system.

Keyphrases: display, fixation, iliosacral screw insertion, surgical navigation, surgical targeting

In: Ferdinando Rodriguez Y Baena and Fabio Tatti (editors). CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 4, pages 220-224.

BibTeX entry
@inproceedings{CAOS2020:Optimal_Targeting_Display_Navigated,
  author    = {Prashant Pandey and Pierre Guy and Kelly Lefaivre and Antony J. Hodgson},
  title     = {Optimal Targeting Display for Navigated Pelvic Screw Insertions},
  booktitle = {CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Ferdinando Rodriguez Y Baena and Fabio Tatti},
  series    = {EPiC Series in Health Sciences},
  volume    = {4},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/l71H},
  doi       = {10.29007/srn7},
  pages     = {220-224},
  year      = {2020}}
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