Sensitivity analysis of a cemented hip stem to implant position and cement mantle thickness

Shi, Jian; Browne, Martin; Strickland, Michael; Flivik, Gunnar; Taylor, Mark

doi:10.1080/10255842.2012.761693

Cited by 7 publications

(7 citation statements)

References 57 publications

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“…Очевидно, что пе-речисленные факторы не относятся к неустра-нимым, и если учитывать их при планировании, то, вероятно, вполне можно избежать. Несмотря на то, что доля ревизий по поводу расшатывания цементных бедренных компонентов являлась низкой, а очевидных причин ревизии на рентге-нограммах выявить не удалось, мы считаем, что их раннее расшатывание могло быть связано с нарушением техники установки имплантатов, в частности, формирования неадекватной мантии или выбора несоответствующего размера нож-ки эндопротеза [26,30].…”

Section: -2 (72)unclassified

The Structure of Early Revisions After Hip Replacement

Тихилов

Шубняков

Kovalenko

et al. 2014

Traumatology and Orthopedics of Russia

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The authors retrospectively reviewed RNIITO Arthroplasty Registry data of revision total hip arthroplasties performed in RNIITO in 3 year period (2011-2013). Part of early revisions within 5 years after the index procedure in general revision structure was 33% . Two hundred seventy three (64%) procedures had infection reason, 79 (19%) - aseptic loosening, 35 (8%) - dislocation and 27 (6%) - periprosthetic fractures in reasons of revision, respectively. More than half of revisions were performed within the first year after the index procedure. Early primary revisions after index total hip arthroplasty were performed in 254 (59,8%)cases, and repeated revisions were performed in 171cases one or more times. Of early primary revisions 125(49,2%) patients had index total hip athroplasty in our hospital, and 129 (50,8%) patients had index total hip athroplasty in other hospitals of Russian Federation. Our THA early revision structure is differs significantly from published in literature, moreover there is difference between revision reasons after primary total hip arthroplasty of our hospital and other hospitals. Revision reasons structure doesn’t show rate of primary THA complications, but defines main problems that should be solved.

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Section: -2 (72)unclassified

The Structure of Early Revisions After Hip Replacement

Тихилов

Шубняков

Kovalenko

et al. 2014

Traumatology and Orthopedics of Russia

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“…The cement mantle is also made up of two distinct layers, one of pure bone cement and the other a composite layer of cement and cancellous bone. At the macro-scale this is difficult to model and as a consequence only a few studies have considered it as a composite layer (Shi et al, 2013). The majority of studies also assume that the bone-cement interface is rigidly bonded.…”

Section: Simulation Of the Initial Mechanical Environment Of The Bonementioning

confidence: 99%

“…The method allows for large numbers of parameters (P) to be explored at a fixed number of levels (N). For full factorial designs (Clarke et al, 2011(Clarke et al, , 2012) the number of required analyses is P N , but by implementing fractional factorial designs (e.g Taguchi method) the number of analyses can be substantially reduced whilst still extracting the required information (Shi et al, 2013;Ong et al, 2006;Amiri and Wilson, 2012;Bahraminasab et al, 2013Bahraminasab et al, , 2014. Through careful study design, it is possible to explore both design related and environmental, patient and surgery related variability.…”

Section: Design Of Computer Based Experimentsmentioning

confidence: 99%

Four decades of finite element analysis of orthopaedic devices: Where are we now and what are the opportunities?

Taylor

Prendergast

2015

Journal of Biomechanics

147

106

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a b s t r a c tFinite element has been used for more than four decades to study and evaluate the mechanical behaviour total joint replacements. In Huiskes seminal paper "Failed innovation in total hip replacement: diagnosis and proposals for a cure", finite element modelling was one of the potential cures to avoid poorly performing designs reaching the market place. The size and sophistication of models has increased significantly since that paper and a range of techniques are available from predicting the initial mechanical environment through to advanced adaptive simulations including bone adaptation, tissue differentiation, damage accumulation and wear. However, are we any closer to FE becoming an effective screening tool for new devices? This review contains a critical analysis of currently available finite element modelling techniques including (i) development of the basic model, the application of appropriate material properties, loading and boundary conditions, (ii) describing the initial mechanical environment of the bone-implant system, (iii) capturing the time dependent behaviour in adaptive simulations, (iv) the design and implementation of computer based experiments and (v) determining suitable performance metrics.The development of the underlying tools and techniques appears to have plateaued and further advances appear to be limited either by a lack of data to populate the models or the need to better understand the fundamentals of the mechanical and biological processes. There has been progress in the design of computer based experiments. Historically, FE has been used in a similar way to in vitro tests, by running only a limited set of analyses, typically of a single bone segment or joint under idealised conditions. The power of finite element is the ability to run multiple simulations and explore the performance of a device under a variety of conditions. There has been increasing usage of design of experiments, probabilistic techniques and more recently population based modelling to account for patient and surgical variability. In order to have effective screening methods, we need to continue to develop these approaches to examine the behaviour and performance of total joint replacements and benchmark them for devices with known clinical performance.Finite element will increasingly be used in the design, development and pre-clinical testing of total joint replacements. However, simulations must include holistic, closely corroborated, multi-domain analyses which account for real world variability.

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“…Combination of the FE solvers with probabilistic methods (i.e. probabilistic FE analyses) have been applied to reliability of other orthopaedic components such as hip replacements [13][14][15][16] and for a longer time in the assessment of structural reliability [17][18][19]. This combination results in a more rigorous validation of the computation model and a more realistic comparison of the predicted results with results obtained by other means such as experimental results [11,12].…”

Section: Introductionmentioning

confidence: 99%

High-performance and distributed computing in a probabilistic finite element comparison study of the human lower leg model with total knee replacement

Arsene

2018

2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

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Reliability theory is used to assess the sensitivity of a passive flexion and active flexion of the human lower leg Finite Element (FE) models with Total Knee Replacement (TKR) to the variability in the input parameters of the respective FE models. The sensitivity of the active flexion simulating the stair ascent of the human lower leg FE model with TKR was presented before in [1,2] whereas now in this paper a comparison is made with the passive flexion of the human lower leg FE model with TKR. First, with the Monte Carlo Simulation Technique (MCST), a number of randomly generated input data of the FE model(s) are obtained based on the normal standard deviations of the respective input parameters. Then a series of FE simulations are done and the output kinematics and peak contact pressures are obtained for the respective FE models (passive flexion and/or active flexion models). Seven output performance measures are reported for the passive flexion model and one more parameter was reported for the active flexion FE model (patello-femoral peak contact pressure) in [1]. A sensitivity study will be performed based on the Response Surface Method (RSM) to identify the key parameters that influence the kinematics and peak contact pressures of the passive flexion FE model. Another two MCST and RSM-based probabilistic FE analyses will be performed based on a reduced list of 19 key input parameters. In total 4 probabilistic FE analyses will be performed: 2 probabilistic FE analyses (MCST and RSM) based on an extended set of 78 input variables and another 2 probabilistic FE analyses (MCST and RSM) based on a reduced set of 19 input variables. Due to the likely computation cost in order to make hundreds of FE simulations with MCST, a high-performance and distributed computing system will be used for the passive flexion FE model the same as it was used for the active flexion FE model in [1]. Keywords-high performance and distributed computing; probabilistic finite element study; total knee replacement; human lower leg model; passive flexion; active flexion.

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Sensitivity analysis of a cemented hip stem to implant position and cement mantle thickness

Cited by 7 publications

References 57 publications

The Structure of Early Revisions After Hip Replacement

The Structure of Early Revisions After Hip Replacement

Four decades of finite element analysis of orthopaedic devices: Where are we now and what are the opportunities?

High-performance and distributed computing in a probabilistic finite element comparison study of the human lower leg model with total knee replacement

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