Predictions of Birmingham hip resurfacing implant offset - In vitro and numerical models.
The number of hip resurfacing arthroplasty procedures has declined dramatically in recent years, for reasons related to the survival rate. Some studies suggest that metal particles are the main critical problem, but do not specify the effect of femoral position on the failure rate. The present study aims to analyze whether the positioning of the resurfacing head implant is important in the distribution of bone strains and in the risk of fracture of the femur. Three in vitro experimental models received the Birmingham hip resurfacing implant to replicate the total hip joint. The resurfacing head of the implanted models was placed in three different offset positions: in a positive offset, with the same femoral head center and in a negative offset. The numerical models were validated by correlating numerical and experimental results. Comparing experimental results from the implanted and intact femurs highlights a strain increase of up to 48% in the proximal medial femur region for positive offset and up to 18% in the neutral position. A reduction of 72% for negative offset (valgus position) was also measured experimentally. A significant change in strain distributions was observed with a resurfacing hip system and increased risk of neck fracture was found using the resurfacing head in positive offset. The iliac bone presents a high decrease in strains that will induce bone loss in the long term. Among the offset positions tested, results suggest that the negative offset (valgus position) and the natural position are the best equilibrated for better long-term results.
['Ramos|A|A|', 'Soares Dos Santos|Marco P|MP|', 'Mesnard|M|M|']
D019644:Arthroplasty, Replacement, Hip D005269:Femur D006622:Hip Prosthesis D006801:Humans D007085:Ilium D008954:Models, Biological D009716:Numerical Analysis, Computer-Assisted D015203:Reproducibility of Results D013314:Stress, Mechanical
hip resurfacing arthroplasty Finite element model in vitro experiments model validation