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Convened under the auspicious of esteemed endorsers - ISTA

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over 73,000 in 2008 in <strong>the</strong> UK. This increase in procedures means that <strong>the</strong>re is a need to assess<strong>the</strong> performance <strong>of</strong> an implant design in <strong>the</strong> general population. For younger, more activepatients, cementless tibial fixation is an attractive alternative means <strong>of</strong> fixation and has beenused for over 30 years. However, <strong>the</strong> clinical results with cementless fixation have beenvariable, with reports <strong>of</strong> extensive radiolucent lines, rapid early migration and aseptic loosening[1]. This study investigates <strong>the</strong> inter-patient variability <strong>of</strong> bone strain at <strong>the</strong> implant-boneinterface <strong>of</strong> 130 implanted tibias over a full gait cycle.MethodsA large scale FE study <strong>of</strong> a full gait cycle was performed on 130 tibias implanted with acementless tibia tray (PFC Sigma, DePuy Inc, USA). A population <strong>of</strong> tibias was generated froma statistical shape and intensity (SSI) model [2].The tibia tray was automatically positioned and implanted using ZIBAmira (Zuse InstituteBerlin, Germany). Cutting and implanting were performed using Boolean operations on <strong>the</strong>meshed surfaces <strong>of</strong> <strong>the</strong> tibia and implant. After generation <strong>of</strong> a volume mesh from <strong>the</strong> resultingsurface, <strong>the</strong> bone modulus was mapped onto <strong>the</strong> new mesh.The FE models were processed in Abaqus (SIMULIA, RI, USA). Associated force data (axial,anterior-posterior and medial-lateral forces and flexion-extension, varus-valgus and internalexternalmoments) was sampled from a statistical model <strong>of</strong> <strong>the</strong> gait cycle derived frommusculoskeletal modelling <strong>of</strong> 20 elderly healthy subjects. Patient weight was estimated using<strong>the</strong> length <strong>of</strong> <strong>the</strong> tibia and a BMI sampled from NHANES data.Loads were applied to four groups <strong>of</strong> nodes on <strong>the</strong> tibia tray (anterior, posterior, medial and,lateral) for 51 steps in <strong>the</strong> gait cycle. The bone and implant were assumed to be bonded,simulating <strong>the</strong> osseointegrated condition.ResultsThe equivalent strain was computed for each element in <strong>the</strong> model. The peak strain in eachelement over all <strong>the</strong> gait cycle was found. The mean strain, for all implanted tibiae, at <strong>the</strong> boneimplantinterface was found to be 477 microstrain, with a 95th percentile <strong>of</strong> 1370 microstrain.The maximum and minimum mean interface strains <strong>of</strong> each individual tibia were 1243microstrain and 221 microstrain respectively. A one-way ANOVA test was carried out to see if<strong>the</strong>re was any significant difference <strong>of</strong> mean strain levels between implant sizes. No significantdifference was shown between <strong>the</strong> implant sizes and mean strain (p = 0.37).DiscussionThere is a large variability <strong>of</strong> <strong>the</strong> mean strain within <strong>the</strong> population, a range <strong>of</strong> 1000mircostrain. The implant size does not appear to influence <strong>the</strong> mean strain <strong>of</strong> <strong>the</strong> population.With a large scale study, it is possible to investigate <strong>the</strong> effect <strong>of</strong> o<strong>the</strong>r factors which mightinfluence <strong>the</strong> strain field at <strong>the</strong> contact interface, such as modulus, bone shape, or loading.AcknowledgementsThis project is funded by EPSRC and DePuy.References[1] Bassett R., 1997, J. Artho.[2] Bryan et al., 2009, Med. Eng. & Phys.file:///E|/<strong>ISTA</strong>2010-Abstracts.htm[12/7/2011 3:15:47 PM]

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