Bony Resection Outliers: Insights from 10,144 Clinical Cases using A Contemporary Computer-Assisted Total Knee Arthroplasty System

4 pages•Published: October 26, 2019

Yifei Dai, Charlotte Bolch, Siyuan Gao, Amaury Jung and Cyril Hamad

Abstract

This study accessed the alignment outliers of intraoperatively measured bony resection during total knee arthroplasty on 10,144 cases performed using a modern CAOS system. The impacts from geographic regions, surgeon’s adoption of the technology (learning or proficient phases), and historical progression of the CAOS application (software versions) were evaluated. The comprehensive analysis demonstrated that the CAOS system is a robust and accurate solution to assist the surgeons to achieve his/her surgical resection goals across its application history.

Keyphrases: alignment outliers, big data analysis, computer assisted orthopedic surgery, 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 94-97.

Links:	https://easychair.org/publications/paper/Z5Tj
	https://doi.org/10.29007/bwjk

BibTeX entry

@inproceedings{CAOS2019:Bony_Resection_Outliers_Insights,
  author    = {Yifei Dai and Charlotte Bolch and Siyuan Gao and Amaury Jung and Cyril Hamad},
  title     = {Bony Resection Outliers: Insights from 10,144 Clinical Cases using A Contemporary Computer-Assisted Total Knee Arthroplasty System},
  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/Z5Tj},
  doi       = {10.29007/bwjk},
  pages     = {94-97},
  year      = {2019}}

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