Do residents perform TKAs using computer navigation as accurately as consultants?

Orthopedics. 2011 Mar 11;34(3):174. doi: 10.3928/01477447-20110124-05.

Abstract

The implantation of a total knee arthroplasty (TKA) is a milestone in a resident's surgical training. Studies demonstrate higher loosening rates after TKA by inexperienced surgeons. Alignment outliers should be avoided to achieve a long implant survival. Therefore, our study questioned whether residents implant knee prostheses using computer navigation as accurately as experienced consultants. The data for 662 consecutive TKAs were analyzed retrospectively. The operations were performed by 4 consultants (n=555) and 5 residents under supervision by a consultant (n=107). Cutting errors were recorded from the navigation data. The postoperative mechanical axis and operation time were recorded. Operation time was significantly prolonged if residents performed the operation vs consultants (139 vs 122 minutes, respectively). The analysis of cutting errors within each surgeon's first 20 navigated operations resulted in no significant difference between residents and consultants. During the subsequent operations, a trend toward a more accurate placement of the prosthesis was detected for consultants. The rate of outliers with a mechanical axis deviation >2° was low and did not significantly differ between residents and consultants (3.7% vs 2.3%, respectively). Our study shows that residents implant their first TKA using computer navigation as accurately as experienced consultants. However, the residents' operations take longer and therefore incur additional costs for the teaching clinic.

MeSH terms

  • Arthroplasty, Replacement, Knee / statistics & numerical data*
  • Germany / epidemiology
  • Humans
  • Internship and Residency / statistics & numerical data*
  • Professional Competence / statistics & numerical data*
  • Referral and Consultation / statistics & numerical data*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surgery, Computer-Assisted / statistics & numerical data*