Numerical wear predictions are gaining increasing interest in many engineering applications, as they allow to simulate complex operative conditions not easily replicable in the laboratory. As far as hip prostheses are concerned, most of the wear models in the literature are based on the simulation of gait (recommended also in experimental wear tests), since gait is considered the most frequent and important motor task to recover after arthroplasty. However, since joint prostheses have been increasingly implanted in younger people, high loads and potentially severe conditions, e.g. due to sporting activities, should also be considered for a more reliable wear assessment of these implants. In this study, we propose a profitable combination of musculoskeletal and analytical wear modelling for the prediction of wear caused by common daily activities in metal-on-plastic hip arthroplasties. Several motion analysis data available in the literature (walking, fast walking, lunge, squat, stair negotiation) were selected and the effects of such motor tasks on prosthesis wear were investigated, both separately and in combination. Additionally, for comparative purposes, wear prediction for simplified gait conditions prescribed by the ISO 14242 standard, were also considered. Results suggest that this latter case produces lower wear depth and volume with respect to a relatively demanding combination of the selected daily activities. The preliminary results of the present study represent a first step towards the auspicious goal of validating the proposed procedure for in silico trials of hip arthroplasties.
LunnDEDe PieriEChapmanGJLundMERedmondACFergusonSJ. Current preclinical testing of new hip arthroplasty technologies does not reflect real-world loadings: Capturing patient-specific and activity-related variation in hip contact forces. J. Arthroplasty2020; 35: 877–885. https://doi.org/10.1016/j.arth.2019.10.006
2.
FabryCHerrmannSKaehlerMKlinkenbergE-DWoernleCBaderR. Generation of physiological parameter sets for hip joint motions and loads during daily life activities for application in wear simulators of the artificial hip joint. Med. Eng. Phys2013; 35: 131–139. https://doi.org/10.1016/j.medengphy.2012.07.014
3.
KurtzSMLauEOngKZhaoKKellyMBozicKJ. Future young patient demand for primary and revision joint replacement: National projections from 2010 to 2030. Clin. Orthop. Relat. Res2009; 467: 2606–2612. https://doi.org/10.1007/s11999-009-0834-6
4.
ViitalaRSaikkoV. Effect of random variation of input and various daily activities on wear in a hip joint simulator. J. Biomech2020; 106: 109831. https://doi.org/10.1016/j.jbiomech.2020.109831
5.
AffatatoSZaniniFCarmignatoS. Quantification of wear and deformation in different configurations of polyethylene acetabular cups using micro X-ray computed tomography. Materials2017; 10: 259. https://doi.org/10.3390/ma10030259
WangLIsaacGWilcoxRJonesAThompsonJ. Finite element analysis of polyethylene wear in total hip replacement: A literature review. Proc IMechE, Part H: J Engineering in Medicine2019; 233: 1067–1088. https://doi.org/10.1177/0954411919872630
BergmannGDeuretzbacherGHellerMGraichenFRohlmannAStraussJDudaGN. Hip contact forces and gait patterns from routine activities. J. Biomech2001; 34: 859–871. https://doi.org/10.1016/s0021-9290(01)00040-9
10.
MatteiLDi PuccioFCiulliE. A comparative study of wear laws for soft-on-hard hip implants using a mathematical wear model. Tribol. Int2013; 63: 66–77. https://doi.org/10.1016/j.triboint.2012.03.002
11.
MatteiLDi PuccioF. Wear simulation of metal-on-metal hip replacements with frictional contact. J. Tribol2013; 135: 021402. https://doi.org/10.1115/1.4023207
12.
SrivastavaGChristianNFred HiggsC. A predictive framework of the tribological impact of physical activities on metal-on-plastic hip implants. Biotribology2021; 25: 100156. https://doi.org/10.1016/j.biotri.2020.100156
13.
NithyaprakashRShankarSUddinMS. Computational wear assessment of hard on hard hip implants subject to physically demanding tasks. Med. Biol. Eng. Comput2018; 56: 899–910. https://doi.org/10.1007/s11517-017-1739-2
14.
PakhaliukVPoliakovA. Simulation of wear in a spherical joint with a polymeric component of the total hip replacement considering activities of daily living. Facta Univ. Ser. Mech. Eng2018; 16: 51–63. https://doi.org/10.22190/FUME171226006P
15.
RuggieroASiciliaAAffatatoS. In silico total hip replacement wear testing in the framework of ISO 14242-3 accounting for mixed elasto-hydrodynamic lubrication effects. Wear2020; 460–461: 203420. https://doi.org/10.1016/j.wear.2020.203420
16.
WuJS-SHungJ-PShuC-SChenJ-H. The computer simulation of wear behavior appearing in total hip prosthesis. Comput. Methods Programs Biomed2003; 70: 81–91. https://doi.org/10.1016/s0169-2607(01)00199-7
17.
MatteiLDi PuccioFJoyceTJCiulliE. Numerical and experimental investigations for the evaluation of the wear coefficient of reverse total shoulder prostheses. J. Mech. Behav. Biomed. Mater2016; 55: 53–66. https://doi.org/10.1016/j.jmbbm.2015.10.007
18.
Di PuccioFMatteiL. A novel approach to the estimation and application of the wear coefficient of metal-on-metal hip implants. Tribol. Int2015; 83: 69–76. https://doi.org/10.1016/j.triboint.2014.10.023
De PieriELundMEGopalakrishnanARasmussenKPLunnDEFergusonSJ. Refining muscle geometry and wrapping in the TLEM 2 model for improved hip contact force prediction. PLOS ONE2018; 13: e0204109. https://doi.org/10.1371/journal.pone.0204109
21.
ZhangXChenZWangLYangWLiDJinZ. Prediction of hip joint load and translation using musculoskeletal modelling with force-dependent kinematics and experimental validation. Inst. Mech. Eng. [H]2015; 229: 477–490. https://doi.org/10.1177/0954411915589115
22.
LunnDEChapmanGJRedmondAC. Hip kinematics and kinetics in total hip replacement patients stratified by age and functional capacity. J. Biomech2019; 87: 19–27. https://doi.org/10.1016/j.jbiomech.2019.02.002
23.
LLJ – lifelongjoints.eu — Silicon Nitride Coatings for Improved Implant Function. https://lifelongjoints.eu/ (accessed 21 July 2021).
24.
BartelDLBursteinAHTodaMDEdwardsDL. The effect of conformity and plastic thickness on contact stresses in metal-backed plastic implants. J. Biomech. Eng1985; 107: 193–199. https://doi.org/10.1115/1.3138543
25.
DelpSLAndersonFCArnoldASLoanPHabibAJohnCTGuendelmanEThelenDG. OpenSim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans. Biomed. Eng2007; 54: 1940–1950. https://doi.org/10.1109/TBME.2007.901024
26.
De PieriELunnDEChapmanGJRasmussenKPFergusonSJRedmondAC. Patient characteristics affect hip contact forces during gait. Osteoarthritis Cartilage2019; 27: 895–905. https://doi.org/10.1016/j.joca.2019.01.016
DelpSLLoanJPHoyMGZajacFEToppELRosenJM. An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures. IEEE Trans. Biomed. Eng1990; 37: 757–767. https://doi.org/10.1109/10.102791
Di PuccioFMatteiL. In-silico analytical wear predictions: application to joint prostheses (In Press), in: Wear Adv. Eng. Appl. Mater., Rodríguez-Tembleque, Luis Vázquez, Jesús Aliabadi, M H Ferri, n.d.
34.
MaxianTABrownTDPedersenDRCallaghanJJ. A sliding-distance-coupled finite element formulation for polyethylene wear in total hip arthroplasty. J. Biomech1996; 29: 687–692. https://doi.org/10.1016/0021-9290(95)00125-5
35.
VogelLACarotenutoGBastiJJLevineWN. Physical activity after total joint arthroplasty. Sports Health Multidiscip. Approach2011; 3: 441–450. https://doi.org/10.1177/1941738111415826
36.
MorlockMSchneiderEBluhmAVollmerMBergmannGMüllerVHonlM. Duration and frequency of every day activities in total hip patients. J. Biomech2001; 34: 873–881. https://doi.org/10.1016/S0021-9290(01)00035-5
37.
WeinhandlJTIrmischerBSSievertZA. Effects of gait speed of femoroacetabular joint forces. Appl. Bionics Biomech2017; 2017: e6432969. https://doi.org/10.1155/2017/6432969
38.
CappozzoACataniFLeardiniABenedettiMDella CroceU. Position and orientation in space of bones during movement: experimental artefacts. Clin. Biomech1996; 11: 90–100. https://doi.org/10.1016/0268-0033(95)00046-1
39.
CarboneVvan der KrogtMMKoopmanHFJMVerdonschotN. Sensitivity of subject-specific models to errors in musculo-skeletal geometry. J. Biomech2012; 45: 2476–2480. https://doi.org/10.1016/j.jbiomech.2012.06.026
40.
BosmansLValenteGWesselingMVan CampenADe GrooteFDe SchutterJJonkersI. Sensitivity of predicted muscle forces during gait to anatomical variability in musculotendon geometry. J. Biomech2015; 48: 2116–2123. https://doi.org/10.1016/j.jbiomech.2015.02.052
41.
WesselingMGrooteFDBosmansLBartelsWMeyerCDesloovereKJonkersI. Subject-specific geometrical detail rather than cost function formulation affects hip loading calculation. Comput. Methods Biomech. Biomed. Engin2016; 19: 1475–1488. https://doi.org/10.1080/10255842.2016.1154547
42.
KangLGalvinALBrownTDFisherJJinZ-M. Wear simulation of ultra-high molecular weight polyethylene hip implants by incorporating the effects of cross-shear and contact pressure. Proc. Inst. Mech. Eng. [H]2008; 222: 1049–1064. https://doi.org/10.1243/09544119JEIM431
43.
KangLGalvinALFisherJJinZ. Enhanced computational prediction of polyethylene wear in hip joints by incorporating cross-shear and contact pressure in additional to load and sliding distance: Effect of head diameter. J. Biomech2009; 42: 912–918. https://doi.org/10.1016/j.jbiomech.2009.01.005
44.
LiuFGalvinAJinZFisherJ. A new formulation for the prediction of polyethylene wear in artificial hip joints. Proc. Inst. Mech. Eng. [H]2011; 225: 16–24. https://doi.org/10.1243/09544119JEIM819
45.
KaddickCWimmerMA. Hip simulator wear testing according to the newly introduced standard ISO 14242. Proc. Inst. Mech. Eng. [H]2001; 215: 429–442. https://doi.org/10.1243/0954411011536019
46.
AliMAl-HajjarMPartridgeSWilliamsSFisherJJenningsLM. Influence of hip joint simulator design and mechanics on the wear and creep of metal-on-polyethylene bearings. Proc. Inst. Mech. Eng. [H]2016; 230: 389–397. https://doi.org/10.1177/0954411915620454
47.
MatsoukasGWillingRKimIY. Total hip wear assessment: A comparison between computational and in vitro wear assessment techniques using ISO 14242 loading and kinematics. J. Biomech. Eng.2009; 131: 041011. https://doi.org/10.1115/1.3049477
