The increasing use of hip resurfacing is associated with early neck fractures of the implanted femur. The aim of this study was to elucidate if such fractures could be caused by a non-physiological state of stress/strain post-implantation. While the possible role of notching at the neck-implant interface has already been elucidated, it is not know whether a resurfacing implant could make the principal strain vary in magnitude and direction in a way that could compromise integrity of the proximal femur. The aim of this study was to measure if the direction of the principal strain in the proximal femur was affected by the presence of a resurfacing prosthesis. Seven human cadaver femurs were instrumented with 12 triaxial strain gauges to measure the magnitude and alignment of principal strains in the head-neck region. Each femur was implanted with a typical resurfacing prosthesis (BHR). All femurs were tested BACKGROUND
METHODS
Pre-clinical validation of implantable devices, including prostheses, generally aims at demonstrating that a new device offers some advantage compared to existing ones, while not introducing additional hazards. This process involves the assessment of a number of possible failure scenarios and claimed benefits, in order to obtain certification of the device (e.g. FDA or CE-mark), and to support its marketing strategy. While until the 90ies A possible paradigm for pre-clinical validation can be summarized as follows (Fig. 1):
Preliminary Potential hazards must be identified. For each hazard, the probability of occurrence and the risk must be identified using either a top-down Fault Tree Analysis (FTA), or a bottom-up Failure Mode and Effect Analysis (FMEA). To assess the risk of occurrence of each mode of failure, the most appropriate approach must be chosen (either experimental, or numerical). For instance, Preliminarily assess the intended implant performance, and explore possible failure modes. Measure the actual material properties and interface conditions. Perform tests on specimens that include a real bone, the typical uncertainty related to implantation (interface condition, press-fit), etc. Conversely, numerical models are advantageous to: Estimate biomechanical quantities (e.g. state of stress/strain) in regions that are not accessible experimentally. Explore the effect of design factors (material, surface finish, geometric features, etc), surgical factors (e.g. implant malpositioning) on the outcome.
Predict the post-operative evolution of the implant over time, including progressive failure, tissue adaptation, etc. Therefore,