Accuracy and a learning curve of an accelerometer-based computer navigation system in total knee arthroplasty

4 pages•Published: October 26, 2019

Hirotake Yo, Tessyu Ikawa and Yoshito Minami

Abstract

The aim of this study was to investigate the accuracy in performing a femoral resection and the existence of a learning curve in conducting TKA using the KneeAlign2 system. 86 primary TKAs were enrolled in this prospective study. These patients were divided in two groups.Group1: patients operated by surgeon of experience using the KneeAlign2 system more than 30 cases.Group2: patients operated by surgeons of experience using the KneeAlign2 system less than 30 cases. The radiographic results (alignment of the femoral component) and operation time were compared between the groups. There were no significant differences between the groups .The KneeAlign2 system provides usefulness in performing an accurate distal femoral resection at TKA. As the learning curve does not be observed, this portable navigation system is easy to handle even for less experienced surgeons.

Keyphrases: accelerometer based computer navigation system, learning curve, total knee arthroplasty

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 428-431.

Links:	https://easychair.org/publications/paper/m9Zq
	https://doi.org/10.29007/dqdm

BibTeX entry

@inproceedings{CAOS2019:Accuracy_learning_curve_accelerometer,
  author    = {Hirotake Yo and Tessyu Ikawa and Yoshito Minami},
  title     = {Accuracy and a learning curve of an accelerometer-based computer navigation system in total 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/m9Zq},
  doi       = {10.29007/dqdm},
  pages     = {428-431},
  year      = {2019}}

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