THE LEARNING CURVE ASSOCIATED WITH ROBOTIC-ASSISTED TOTAL HIP ARTHROPLASTY
Domb Benjamin, Redmond John, Jon E. Hammarstedt, Petrakos Alexandra, Stake Christine, Gupta Asheesh, Conditt Michael
- Year
- 2018
- Citations
- 52
Abstract
BackgroundSeveral recent reports have documented high frequency of malpositioned acetabular components, even amongst high volume arthroplasty surgeons. Robotic assisted total hip arthroplasty (THA) has the potential to improve component positioning; however, to our knowledge there are no reports examining the learning curve during the adoption of robotic assisted THA.PurposeThe purpose of this study was to examine the learning curve of robotic assisted THA as measured by component position, operative time, intra-operative technical problems, and complications.MethodsThe first 105 robotic-assisted THAs performed by a single surgeon with a posterior approach from June 2011 to August 2013 patients were divided into three groups based on the order of surgery. Group A was cases 1–35, group B 36–70 and group C 71–105. Component position, operative time, intra-operative technical problems, and intra-operative complications were recorded.ResultsThere was no significant difference between groups A, B, and C for BM...
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002