56. COMPUTER NAVIGATED HIP RESURFACING: AN EVALUATION OF ACCURACY AND LEARNING CURVE

Abstract

Purpose: Hip resurfacing is a technically demanding alternative to total hip arthroplasty. Placement of the initial femoral guidewire utilizing traditional mechanical jigs may lead to preparatory errors and a high degree of variability in final implant stem-shaft angle (SSA). Intraoperative computer navigation has the potential to decrease preparatory errors and provide a reliable method of femoral component placement. The current study evaluated the accuracy and learning curve of 140 consecutive navigated hip resurfacing arthroplasties.

Method: Between October 2005 and May 2007, 140 consecutive Birmingham Hip Resurfacings were performed on 132 patients (107 male, 25 female). The mean age of the cohort was 51.2 years (range 25–82). Indications for surgery included osteoarthritis (n=136) and avascular necrosis (n=4). Preoperative templating was performed using digital AP unilateral hip radiographs. Neck-shaft angles (NSA) were digitally measured and relative implant stem-shaft angles planned. The central guidewire was drilled and verified intra-operatively using an imageless navigation system. Implant stem-shaft angles were assessed using 3 month post-operative radiographs.

Results: Pre-operative templating determined a mean NSA of 132.2 degrees (SD 5.3 degrees, range 115–160). The planned SSA was a relative valgus alignment of 9.5 degrees (SD 2.6 degrees). The post-operative SSA differed from the planned SSA by 2.5 degrees (SD 1.9 degrees, range 0–8). The final SSA measured within ±5 degrees of the planned SSA in 89% of cases. Of the remaining 11% of cases, all measurements erred in valgus. No cases of neck notching or varus implant alignment occurred in the series. The mean navigation time for the entire series was 18 minutes (SD 6.6 minutes, range 10–50). A learning curve was observed with respect to navigation time, with a significant decrease in navigation time between the first 20 cases and the remainder of the series. There was no evidence of a learning curve for implant placement accuracy.

Conclusion: Imageless computer navigation shows promise in optimizing preparation of the femoral head and reducing the introduction of mechanical preparatory factors that predispose to femoral neck fracture. Navigation may afford the surgeon an accurate and reliable method of femoral component placement with negligible learning curve.