Finite Element Analysis of Poor Distal Contact of the Femoral Component of a Cementless Hip Endoprosthesis

Taylor, Mark; Abel, E.W.

doi:10.1243/pime_proc_1993_207_304_02

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…The interface characteristics depend on many factors, such as stem shape, surface roughness, reaming procedure, and bone quality. During implantation of a wedge‐shaped stem as used in the present study, a good distal fit of the prosthesis is often difficult to obtain 19. Therefore, a distal gap was modeled to obtain a realistic situation.…”

Section: Discussionmentioning

confidence: 99%

Toward a more realistic prediction of peri‐prosthetic micromotions

Ploeg

Tarala

Homminga

et al. 2011

Journal Orthopaedic Research

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The finite element (FE) method has become a common tool to evaluate peri-prosthetic micromotions in cementless total hip arthroplasty. Often, only the peak joint load and a selected number of muscle loads are applied to determine micromotions. Furthermore, the applied external constraints are simplified (diaphyseal fixation), resulting in a non-physiological situation. In this study, a scaled musculoskeletal model was used to extract a full set of muscle and hip joint loads occurring during a walking cycle. These loads were applied incrementally to an FE model to analyze micromotions. The relation between micromotions and external loads was investigated, and how micromotions during a full loading cycle compared to those calculated when applying a peak load only. Finally, the effect of external constraints was analyzed (full model vs. diaphyseal fixation and reduced number of muscle loads). Relatively large micromotions were found during the swing phase when the hip joint forces were relatively low. Maximal micromotions, however, did concur with the peak hip joint force. Applying only a peak joint force resulted in peak micromotions similar to those found when full walking cycle loads were applied. The magnitude and direction of the micromotions depended on the applied muscle loads, but not on external constraints.

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Section: Discussionmentioning

confidence: 99%

Toward a more realistic prediction of peri‐prosthetic micromotions

Ploeg

Tarala

Homminga

et al. 2011

Journal Orthopaedic Research

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“…The majority of studies have used geometry‐based generation methods. Taylor and Abel examined the influence of poor distal contact on the load transfer of a cementless femoral stem and reported differences between the two femurs examined. Although the geometry was derived from CT image data, only two material properties were assigned to represent cortical and cancellous bone.…”

Section: Review Of Multiple Subject‐specific Finite Element Studiesmentioning

confidence: 99%

Accounting for patient variability in finite element analysis of the intact and implanted hip and knee: A review

Taylor

Bryan

Galloway

2012

Numer Methods Biomed Eng

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It is becoming increasingly difficult to differentiate the performance of new joint replacement designs using available preclinical test methods. Finite element analysis is commonly used and the majority of published studies are performed on representative anatomy, assuming optimal implant placement, subjected to idealised loading conditions. There are significant differences between patients and accounting for this variability will lead to better assessment of the risk of failure. This review paper provides a comprehensive overview of the techniques available to account for patient variability. There is a brief overview of patient-specific model generation techniques, followed by a review of multisubject patient-specific studies performed on the intact and implanted femur and tibia. In particular, the challenges and limitations of manually generating models for such studies are discussed. To efficiently account for patient variability, the application of statistical shape and intensity models (SSIM) are being developed. Such models have the potential to synthetically generate thousands of representative models generated from a much smaller training set. Combined with the automation of the prosthesis implantation process, SSIM provides a potentially powerful tool for assessing the next generation of implant designs. The potential application of SSIM are discussed along with their limitations.

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