Optimization of a Cemented Femoral Prosthesis Considering Bone Remodeling

Abstract

The study presents a numerical methodology for minimizing the bone loss in human femur submitted to total hip replacement (THR) procedure with focus on cemented femoral stem. Three-dimensional computational models were used to describe the femoral bone behavior. An optimization procedure using the genetic algorithm (GA) method was applied in order to minimize the bone loss, considering the geometry and the material of the prosthesis as well as the design of the stem. Internal and external bone remodeling were analyzed numerically. The numerical method proposed here showed that the bone mass loss could be reduced by 24%, changing the design parameters.

Advancement in total hip implant: a comprehensive review of mechanics and performance parameters across diverse novelties

“…As the implant material significantly affects the transmission of stress from the implant to the surrounding bone, it is essential to evaluate the bone remodelling rate and related failure index characteristics for hip implants made from various materials. The predominant bone remodelling estimating model, 48,[90][91][92][93] proposed by Winan et al 94 and Huiskes et al, 95 is based on the strain energy density (SED), which is widely used (J cm À3 ). The bone remodelling rate Dr Dt can be estimated using the following eqn (21).…”

“…The bone remodelling rate Dr Dt can be estimated using the following eqn (21). 42,48,[90][91][92][93] Fig. 6 Indication of Gruen Areas in (a) intact femur and (b) implanted femur.…”

“…The bone remodelling rate can be estimated using the following eqn (21). 42,48,90–93 Here, s is the dead zone, which is considered as the ±0.75 reference value 96. The intact femur bone FE model, which was exposed to the identical musculoskeletal loads and boundary conditions as the implanted FE model, served as the source of the site-specific reference stimulus estimates used in this investigation.…”

Optimization of pedicle screw position using finite element method and neural networks

“…Currently, studies have shown benefits of applying optimization in biomechanical situations [19,20]. For this, it is important that adequate mathematical models are applied, as it may require a high computational cost.…”