Literature DB >> 20500099

Computer navigated total knee arthroplasty: the learning curve.

Benjamin R K Smith1, Angela H Deakin, Joe Baines, Frederic Picard.   

Abstract

The learning curve for computer navigated total knee arthroplasty (TKA) is not well defined. We collected data prospectively on a consultant surgeon's first 50 navigated TKAs. Over the same period, matching data was taken from 50 consecutive cases performed by an expert who has performed over 1000 navigated TKAs. From the first case, the novice navigator was able to achieve the same standard as the expert in terms of post-implant mechanical alignment in the coronal and sagittal planes. Equally, at 6 weeks and one year post-surgery there was no significant difference in the mean Oxford score, mechanical axis and range of movement for the two groups of patients. Operative time was significantly longer for the novice surgeon in the first 20 cases (92 versus 73 min, p < 0.001), but by the final 20 cases there was no difference (72 versus 74 min, p = 0.944). This study shows that the learning curve for navigated TKA is approximately 20 cases and that a beginner can reproduce the results of an expert from the outset.

Entities:  

Mesh:

Year:  2010        PMID: 20500099     DOI: 10.3109/10929088.2010.486559

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  13 in total

1.  Computer-assisted navigation in ACL reconstruction is attractive but not yet cost efficient.

Authors:  Jennifer Margier; Sandra David Tchouda; Jean-Jacques Banihachemi; Jean-Luc Bosson; Stéphane Plaweski
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-01-21       Impact factor: 4.342

2.  A Study of Surgical Accuracy with X-Ray-Based Patient-Specific Instrument (X3DPSI®) vs Conventional Instrument in Total Knee Arthroplasty Surgeries.

Authors:  Vivek Shetty; Sajeev Shekhar; Vikas Karade; Amit Maurya; Manu Sankar; Yash Wagh
Journal:  Indian J Orthop       Date:  2022-04-05       Impact factor: 1.033

3.  Impact of change of knee prosthesis on early clinical outcomes in a large volume arthroplasty centre.

Authors:  P Moonot; O D'Mello; N Tzinga; K Sisak; N J Fiddian; A H Harvey
Journal:  Ann R Coll Surg Engl       Date:  2013-11       Impact factor: 1.951

4.  Survivorship and relative risk of revision in computer-navigated versus conventional total knee replacement at 8-year follow-up.

Authors:  Gro S Dyrhovden; Anne M Fenstad; Ove Furnes; Øystein Gøthesen
Journal:  Acta Orthop       Date:  2016-10-24       Impact factor: 3.717

5.  Computer assisted navigation in total knee and hip arthroplasty.

Authors:  Kamal Deep; Shivakumar Shankar; Ashish Mahendra
Journal:  SICOT J       Date:  2017-07-28

6.  A randomized controlled trial to compare component placement in navigated total knee arthroplasty using original and streamlined registration processes.

Authors:  Nadia C Sciberras; Mohammed Almustafa; Benjamin R K Smith; David J Allen; Frederic Picard; Angela H Deakin
Journal:  Arthroplast Today       Date:  2016-10-04

7.  Learning navigation - Learning with navigation. A review.

Authors:  Jean-Yves Jenny; Frederic Picard
Journal:  SICOT J       Date:  2017-06-02

Review 8.  Minimally invasive total knee replacement: techniques and results.

Authors:  Frederic Picard; Angela Deakin; Navin Balasubramanian; Alberto Gregori
Journal:  Eur J Orthop Surg Traumatol       Date:  2018-03-22

9.  Influence of navigation system updates on total knee arthroplasty.

Authors:  Hiroshi Inui; Shuji Taketomi; Kensuke Nakamura; Seira Takei; Hideki Takeda; Sakae Tanaka; Takumi Nakagawa
Journal:  BMC Sports Sci Med Rehabil       Date:  2013-05-02

Review 10.  What is the optimal time point to assess patient-reported recovery after hip and knee replacement? A systematic review and analysis of routinely reported outcome data from the English patient-reported outcome measures programme.

Authors:  John Patrick Browne; Hamad Bastaki; Jill Dawson
Journal:  Health Qual Life Outcomes       Date:  2013-07-30       Impact factor: 3.186

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