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Clinical Use of a Computer Assisted Reverse Total Shoulder Arthroplasty System: an Analysis of 1702 Cases

5 pagesPublished: October 27, 2019

Abstract

Placement of the glenoid component in reverse total shoulder arthroplasty (rTSA) is of paramount importance and can affect a patient’s range of motion postoperatively. Preoperative planning and computer assisted surgery (CAS) can improve upon glenoid placement, but such systems for rTSA have experienced limited commercial success. Postoperative surgical reports from the first 1702 clinical cases of a commercially available CAS rTSA system were collected and analyzed for implant selection, implant placement, and incision start to incision close operative time, and compared to similar date cohorts for non-navigated cases. Navigated rTSA cases had a significantly longer incision time than non-navigated cases. Augmented glenoid components were used in a much higher percentage of navigated cases than non-navigated cases, suggesting that augmented glenoid components provide utility for correcting pathologic glenoid wear. The average resultant version and inclination of the implanted component increased with the size of augment used, suggesting there may not be a clear consensus on optimal version or inclination. Long term clinical follow up will need to be collected to determine if preoperative planning combined with more precise and accurate glenoid component positioning leads to improved clinical outcomes and implant longevity.

Keyphrases: Anatomic Total Shoulder Arthroplasty, Augmented Glenoid, computer assisted surgery, Navigation

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 152--156

Links:
BibTeX entry
@inproceedings{CAOS2019:Clinical_Use_of_Computer,
  author    = {Alexander Greene and Sandrine Polakovic and Christopher Roche and Yifei Dai},
  title     = {Clinical Use of a Computer Assisted Reverse Total Shoulder Arthroplasty System: an Analysis of 1702 Cases},
  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},
  pages     = {152--156},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {https://easychair.org/publications/paper/68hG},
  doi       = {10.29007/hcd6}}
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