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Convened under the auspicious of esteemed endorsers - ISTA

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assumed to be 0.6. The distal portion <strong>the</strong> tibia was rigidly constrained. Five activities weresimulated based on data from Orthoload.com (patient K1L) including walking, stair ascent, stairdescent, sitting down and a deep knee bend. The three force and three moment time historieswere discritised to give between 44 and 48 individual load steps. Custom written scripts wereused to generate composite peak micromotion plots, which report <strong>the</strong> peak micromotion thatoccurs at each point <strong>of</strong> <strong>the</strong> contact surface during <strong>the</strong> gait cycle. The primary stability was <strong>the</strong>nassessed by reporting <strong>the</strong> maximum micromotion, <strong>the</strong> average peak micromotion and <strong>the</strong>percentage <strong>of</strong> <strong>the</strong> contact area experiencing micromoitons less than 50 microns.Results and discussion: Similar trends were observed for all three designs across <strong>the</strong> range <strong>of</strong>activities. Stair ascent and descent generated <strong>the</strong> highest micromotions, closely followed bylevel gait. Across <strong>the</strong>se three activities <strong>the</strong> mean peak (maximum) micromotions ranged from64-78 (186-239) microns for PFC Sigma, 61-72 (199-251) microns for Du<strong>of</strong>ix and 92-106(229-264) microns for LCS. The peak micromotions did not necessarily occur at <strong>the</strong> peakloads. For instance, for level walking <strong>the</strong> peak micromotions occurred when <strong>the</strong>re were lowaxial forces, but moderate varus-valgus moments. This highlights <strong>the</strong> need to examine <strong>the</strong>whole gait cycle in order to properly determine <strong>the</strong> initial stability tibiae tray designs. Byexploring a range <strong>of</strong> activities and interrogating <strong>the</strong> entire contact surface, it is easier todifferentiate between <strong>the</strong> relative performance <strong>of</strong> different implant designs.Saturday, October 9, 2010, 8:15-9:00Session A17: Knee MechanicsKinematic Analysis <strong>of</strong> Mobile-Bearing Total Knee Arthroplasty UsingImage Matching TechniqueKatsumasa Tei - Kobe Kaisei Hospital - Kobe, JAPAN*Nao Shibanuma - Kobe Kaisei Hospital - Kobe, JAPANSeiji Kubo - Kobe University - Kobe, JapanTomoyuki Matsumoto - Kobe University Graduate School <strong>of</strong> Medicine - Kobe, JapanAkio Matsumoto - Kobe Kaisei Hospital - Kobe, JAPANHiroomi Tateishi - Kobe Kaisei Hospital - Kobe, JAPANMasahiro Kurosaka - Kobe University Graduate School <strong>of</strong> Medicine - Kobe, JapanRyosuke Kuroda - Department <strong>of</strong> Orthopaedic Surgery, Kobe University Graduate School <strong>of</strong>Medicine - Kobe, Japan*Email: shibanu@db4.so-net.ne.jpAchieving high flexion after total knee arthroplasty (TKA) is one <strong>of</strong> <strong>the</strong> most important clinicalresults, especially in eastern countries where <strong>the</strong> high flexion activities, such as kneeling andsquatting, are part <strong>of</strong> <strong>the</strong> important lifestyle.Numerous studies have examined <strong>the</strong> kinematicsafter TKA. However, <strong>the</strong>re are few numbers <strong>of</strong> studies which examined <strong>the</strong> kinematics duringdeep knee flexion activities. Therefore, in <strong>the</strong> present study, we report analysis <strong>of</strong> mobilebearingTKA kinematics from extension to deep flexion kneeling using 2D-3D image matchingfile:///E|/<strong>ISTA</strong>2010-Abstracts.htm[12/7/2011 3:15:47 PM]

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