Novel design analysis tools to increase precision and reduce variation in hip replacement performance

Lead Research Organisation: University of Leeds
Department Name: Mechanical Engineering

Abstract

Over 60 million patients worldwide suffer from hip osteoarthritis, and increasing numbers of patients are requiring total hip replacement surgery. Although the surgery is highly successful, the ageing active population and rise in obesity are placing extra demands on hip replacements: devices must now withstand higher loads and survive for longer durations in the body. The number of revision surgery procedures to replace worn out or damaged components is rising, and there is a need to develop more robust hip replacement devices that can withstand these increasing demands across all patient groups. One of the major causes of failure of hip replacements is due to wear and fatigue of the device components. These damage processes can increase dramatically if the components are not well aligned relative to each another, or relative to the direction of the loads they experience in the body. There can be many factors which affect the alignment, including the device design and surgical procedure as well as the patient anatomy and biomechanics.
In this proposal, we will develop computer models to simulate hip replacement performance under different misalignment conditions. We will incorporate patient and surgical variations into the model so that we can define exactly what levels of alignment are required for specific devices to operate adequately. This will enable us to provide better guidance on the choice of device for individual patients to reduce the likelihood of misalignment. It will also help inform surgeons on the positioning of the components for different patient characteristics.
We will work with a major orthopaedic company (DePuy Synthes) to integrate the computer models into their new product development process, so that the next generation of devices can be designed to be more robust to alignment variations, and surgical tools can be developed to help align devices with better precision in the most critical directions.
We will also work with regulators and standards agencies to develop new testing requirements that take account of the variations in patients and surgery, so that all new products will have to undergo more robust testing before they are introduced onto the market.
In the longer term, the methods we develop will help extend the lifetime and reliability of the next generation of hip replacements and enable these devices to meet the increasing demands of our ageing active population.

Planned Impact

Over 60 million patients worldwide suffer from hip osteoarthritis and it presents an increasing burden on healthcare systems. There are growing clinical and economic needs to develop more robust, longer lasting hip replacements to meet the demands of an ageing, active population and reduce the rising cost of revision surgery.
The longer term impact of this proposal is to extend the lifetime and reliability of the next generation of hip joint replacements to meet these demands, benefitting patients, healthcare providers and the orthopaedic industry.
Through this proposal, we will develop novel design analysis and testing tools that can simulate the tribological and mechanical effects of patient and surgical variance on hip replacement performance. In the shorter term, the proposal will have impact on industry in providing new design tools for product development, clinicians in providing guidance on patient stratification for existing devices, regulatory and standard agencies in developing methods that enable surgical and patient variation to be incorporated into pre-clinical testing, and academia in developing new methodologies and highly skilled researchers, as well as promoting this application of engineering to the wider public.
For industry, we will develop computational simulation methods that can be integrated into the early design phase of new product development . We will work with Project Partner DePuy Synthes to enable the company to adopt the simulation tools in the design stage of their next generation total hip replacement systems. We will use two-way secondments between the university and DePuy Synthes as well as regular higher level meetings to ensure there is engagement throughout the project and a rapid transfer of technology. The proposed work will strengthen the capabilities of DePuy's newly opened research and development centre in Leeds, helping to drive economic growth. It will pave the way for future adoption across the industrial sector, and application to other replacement devices.
For clinicians, we will develop and validate the models on existing total hip replacement devices and use the models to identify the precision requirements beyond which detrimental tribological conditions will occur. We will investigate the effects of patient and surgical variation and use this to define improved patient stratification or surgical alignment methods for existing devices. We will work with our clinical collaborators and wider network to help disseminate findings and recommendations for current devices.
For standards and regulatory agencies, we will propose new, improved preclinical testing processes and requirements. We will use the results of our validation studies, alongside increasingly stringent performance requirements from NICE and demands from the clinical community for higher levels of compliance to advocate for improved pre-clinical testing and regulation that takes account of surgical and patient variation.
For academia, we will develop novel dynamic finite element simulation methods, as well as new techniques to incorporate patient and surgical variation in a parameterised way that enables rapid analysis of multiple variables. We will publish our methodologies and make methods and data available through our repository. We will also develop a database of patient image and gait data that will provide a resource for the wider community investigating other research questions. We will use the work to promote this application of engineering to the wider public through science fairs and patient-public engagement activities.

Publications

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Etchels L (2023) Dynamic finite element analysis of hip replacement edge loading: Balancing precision and run time in a challenging model. in Journal of the mechanical behavior of biomedical materials

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O'Dwyer Lancaster-Jones O (2018) An in vitro simulation model to assess the severity of edge loading and wear, due to variations in component positioning in hip joint replacements. in Journal of biomedical materials research. Part B, Applied biomaterials

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Pryce GM (2022) Impingement in total hip arthroplasty: A geometric model. in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine

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Wang L (2019) Finite element analysis of polyethylene wear in total hip replacement: A literature review. in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine

 
Description We have developed new computer methods for simulating the dynamic performance of total hip replacements and evaluating the risk of adverse conditions occurring. The tools developed can be used to rapidly examine a range of different scenarios. Evidence has been generated to demonstrate the applicability and validity of different tools developed. Pilot work using clinical data (patient gait and MRI measurements) has shown how individual patient factors can affect some of these adverse risks.
Exploitation Route Methods are being translated to industry through engagement with Project Partner Depuy Synthes.
To enable wider adoption by the sector, the methodologies have been published and presented at international conferences to both industrial, academic and clinical audiences; the computational tools have been made openly available.
Sectors Healthcare,Manufacturing, including Industrial Biotechology

 
Description Computational methods have been adopted by Project Partner Depuy Synthes to screen test variables prior to lengthy and expensive in vitro testing, to reduce time-to-market for new products and provide evidence for surgical guidance on existing products.
First Year Of Impact 2021
Sector Healthcare,Manufacturing, including Industrial Biotechology
Impact Types Economic

 
Description LCR BIG Panel
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Membership of a guideline committee
Impact Membership of local economic partnership Leeds city region , west Yorkshire combined authority business Innovation growth Panel - special advisor on research innovation Universities
 
Description Med ical technology science and innovation audit
Geographic Reach National 
Policy Influence Type Membership of a guideline committee
Impact Leadership of Medical Technology science an dInnovation audit, Leeds City region Plus
 
Description Presented 'provocation' and participated in Wellcome Health Exchange - Wellcome Trust discussion on healthy aging research chaired by Eliza Manningham-Buller (Ruth Wilcox)
Geographic Reach National 
Policy Influence Type Membership of a guideline committee
 
Description international standards committee chair
Geographic Reach Asia 
Policy Influence Type Membership of a guideline committee
Impact international pre clinical testing standards
 
Description EPSRC Healthcare Technologies Challenge Award - Sophie Williams
Amount £1,021,819 (GBP)
Funding ID EP/R003971/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2018 
End 12/2022
 
Description Enabling Individualised Surgical Treatment of Osteoarthritis
Amount £1,246,813 (GBP)
Funding ID EP/W003139/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2022 
End 12/2025
 
Description Royal Academy of Engineering Senior Research Fellowship
Amount £480,000 (GBP)
Organisation Royal Academy of Engineering 
Sector Charity/Non Profit
Country United Kingdom
Start 10/2016 
End 09/2021
 
Description depuy
Amount £250,000 (GBP)
Organisation Depuy International 
Sector Private
Country United Kingdom
Start 01/2017 
End 01/2018
 
Title Dataset supporting the publication "Importance of dynamics in the finite element prediction of plastic damage of polyethylene acetabular liners under edge loading conditions" 
Description This dataset contains the full set of output values from a modelling study, summarised as follows. After hip replacement, in cases where there is instability at the joint, contact between the femoral head and the acetabular liner can move from the bearing surface to the liner rim, generating edge loading conditions. This has been linked to polyethylene liner fracture and led to the development of a regulatory testing standard (ISO 14242:4) to replicate these conditions. Performing computational modelling alongside simulator testing can provide insight into the complex damage mechanisms present in hard-on-soft bearings under edge loading. The aim of this work was to evaluate the need for inertia and elastoplastic material properties to predict kinematics (likelihood of edge loading) and plastic strain accumulation (as a damage indicator). While a static, rigid model was sufficient to predict kinematics for experimental test planning, the inclusion of inertia, alongside elastoplastic material, was required for prediction of plastic strain behaviour. The delay in device realignment during heel strike, caused by inertia, substantially increased the force experienced during rim loading (e.g. 600 N static rigid, ~1800 N dynamic elastoplastic, in one case). The accumulation of plastic strain is influenced by factors including cup orientation, swing phase force balance, the moving mass, and the design of the device itself. Evaluation of future liner designs could employ dynamic elastoplastic models to investigate the effect of design feature changes on bearing resilience under edge loading. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact Dataset has enabled reuse of material for further research and training. 
URL http://archive.researchdata.leeds.ac.uk/840/
 
Title Dataset supporting the publication 'Computationally Efficient Modelling of Hip Replacement Separation Due to Small Mismatches in Component Centres of Rotation' 
Description Patient imaging and explant analysis has shown evidence of edge loading of hard-on-hard hip replacements in vivo. Experimental hip simulator testing under edge loading conditions has produced increased, clinically-relevant, wear rates for hard-on-hard bearings when compared to concentric conditions. Such testing, however, is time consuming and costly. A quick running computational edge loading model (Python Edge Loading (PyEL) - quasi-static, rigid, frictionless), capable of considering realistic bearing geometries, was developed. The aim of this study was to produce predictions of separation within the typical experimental measurement error of ~0.5 mm. The model was verified and validated against comparable finite element (FE) models (including inertia and friction) and pre-existing experimental test data for 56 cases, covering a variety of simulated cup orientations, positions, tissue tensions, and loading environments. The PyEL model agreed well with both the more complex computational modelling and experimental results. From comparison with the FE models, the ashumption of no inertia had little effect on the maximum separation prediction. With high contact force cases, the ashumption of no friction had a larger effect (up to ~5% error). The PyEL model was able to predict the experimental maximum separations within ~0.3 mm. It could therefore be used to optimise an experimental test plan and efficiently investigate a much wider range of scenarios and variables. It could also help explain trends and damage modes seen in experimental testing through identifying the contact locations on the liner that are not easily measured experimentally. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact not yet any impact 
URL http://archive.researchdata.leeds.ac.uk/561/
 
Title Dataset supporting the publication 'Dynamic finite element analysis of hip replacement edge loading: balancing precision and run time in a challenging model' 
Description This dataset contains the full set of output values from a modelling study, summarised as follows. An important aspect in evaluating the resilience of hip replacement designs is testing their performance under adverse conditions that cause edge loading of the acetabular liner. The representation of edge loading conditions in computational models is computationally challenging, however, due to the changing contact locations, need for mesh refinement, and dynamic nature of the system. In the associated paper, an initial starting point for finite element modelling of this type of testing was developed. This consisted of recommendations for aspects such as the element type and shape, and to set up the head as the translating component and fix the liner using boundary conditions. It also included recommendations for element sizing for the bulk of the liner and the contacted rim, and a mass-scaling target time increment for the elements of the liner. In the paper we present a relatively clean sensitivity study to justify these choices and describe the sensitivity of results around them so that someone putting together a new model can hopefully do so far more quickly. There was a large amount of underpinning sensitivity testing, however, which was less structured but important for getting to this final recommendation. This data packet therefore contains results from two preliminary load cases (A and B) as well as the data used in the supported paper (case C). 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Dataset has enabled reuse of material for further research and training. 
URL https://archive.researchdata.leeds.ac.uk/1065/
 
Description DePuy partnership 2017 
Organisation Depuy International
Country United Kingdom 
Sector Private 
PI Contribution Research supply
Collaborator Contribution Funding, materials , know how, staff time
Impact publications multidisciplinary engineering biological sciences, medicine
Start Year 2017
 
Description Depuy Kennedy 16-17 
Organisation Depuy International
Country United Kingdom 
Sector Private 
PI Contribution Knowledge advice
Collaborator Contribution knowledge expertise
Impact multidiciplines engineering medicine
Start Year 2016
 
Description Great Yorkshire Show 11th - 13th July - Ruth Wilcox 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact iMBE regularly have an exhibit at the Great Yorkshire Show where the work conducted by all areas of the Institute is disseminated to the general public by displays, hands on models, computer screens and explanations by the participants.• Exhibit at Great Yorkshire Show, July 11-13 2017. Event attracts 130,000 with estimated 3,000 visitors to our exhibit which included 'build a knee' activity, cycling skeleton and examples of various medical devices for the knee. (organiser: Edwards; participating staff: Wilcox, Jennings, Jones, Liu)
Year(s) Of Engagement Activity 2017
 
Description Hosted laboratory visit for Leeds Biomedical Research Centre Patient Public Involvement group 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Patients, carers and/or patient groups
Results and Impact Hosted a laboratory tour and series of talks from academic members of the Institute of Medical and Biological Engineering for members of the Leeds PPI group
Year(s) Of Engagement Activity 2018
URL https://youtu.be/cKfs50-NxJQ
 
Description U3A Harrogate 10th July 2017 - Ruth Wilcox 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Public/other audiences
Results and Impact U3A Harrogate - explanation and dissemination of activities of the Institute of Medical & Biological Engineering
Year(s) Of Engagement Activity 2017