Computational wear prediction of a total knee replacement from in vivo kinematics
Wear of ultra-high molecular weight polyethylene bearings in total knee replacements remains a major limitation to the longevity of these clinically successful devices. Few design tools are currently available to predict mild wear in implants based on varying kinematics, loads, and material properti...
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description | Wear of ultra-high molecular weight polyethylene bearings in total knee replacements remains a major limitation to the longevity of these clinically successful devices. Few design tools are currently available to predict mild wear in implants based on varying kinematics, loads, and material properties. This paper reports the implementation of a computer modeling approach that uses fluoroscopically measured motions as inputs and predicts patient-specific implant damage using computationally efficient dynamic contact and tribological analyses. Multibody dynamic simulations of two activities (gait and stair) with two loading conditions (70–30 and 50–50 medial–lateral load splits) were generated from fluoroscopic data to predict contact pressure and slip velocity time histories for individual elements on the tibial insert surface. These time histories were used in a computational wear analysis to predict the depth of damage due to wear and creep experienced by each element. Predicted damage areas, volumes, and maximum depths were evaluated against a tibial insert retrieved from the same patient who provided the in vivo motions. Overall, the predicted damage was in close agreement with damage observed on the retrieval. The gait and stair simulations separately predicted the correct location of maximum damage on the lateral side, whereas a combination of gait and stair was required to predict the correct location on the medial side. Predicted maximum damage depths were consistent with the retrieval as well. Total computation time for each damage prediction was less than 30
min. Continuing refinement of this approach will provide a robust tool for accurately predicting clinically relevant wear in total knee replacements. |
doi_str_mv | 10.1016/j.jbiomech.2004.02.013 |
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min. Continuing refinement of this approach will provide a robust tool for accurately predicting clinically relevant wear in total knee replacements.</description><identifier>ISSN: 0021-9290</identifier><identifier>EISSN: 1873-2380</identifier><identifier>DOI: 10.1016/j.jbiomech.2004.02.013</identifier><identifier>PMID: 15598458</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Aged ; Arthroplasty, Replacement, Knee - instrumentation ; Arthroplasty, Replacement, Knee - methods ; Biocompatible Materials ; Biomechanical Phenomena ; Computational wear prediction ; Computer-Aided Design ; Dynamic contact simulation ; Equipment Failure Analysis - methods ; Feasibility Studies ; Female ; Humans ; Kinematics ; Knee ; Knee Joint - diagnostic imaging ; Knee Joint - physiopathology ; Knee Joint - surgery ; Knee Prosthesis ; Materials Testing - methods ; Patient-specific modeling ; Polyethylenes - chemistry ; Prosthesis Failure ; Radiography ; Sports medicine ; Stress, Mechanical ; Studies</subject><ispartof>Journal of biomechanics, 2005-02, Vol.38 (2), p.305-314</ispartof><rights>2004 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-2820f9deae8cc15cbd4986e585f51bf313dac8e85c3e80a6aecd0abf0b48fac83</citedby><cites>FETCH-LOGICAL-c460t-2820f9deae8cc15cbd4986e585f51bf313dac8e85c3e80a6aecd0abf0b48fac83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1034912906?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000,64390,64392,64394,72474</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15598458$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fregly, Benjamin J.</creatorcontrib><creatorcontrib>Sawyer, W.Gregory</creatorcontrib><creatorcontrib>Harman, Melinda K.</creatorcontrib><creatorcontrib>Banks, Scott A.</creatorcontrib><title>Computational wear prediction of a total knee replacement from in vivo kinematics</title><title>Journal of biomechanics</title><addtitle>J Biomech</addtitle><description>Wear of ultra-high molecular weight polyethylene bearings in total knee replacements remains a major limitation to the longevity of these clinically successful devices. Few design tools are currently available to predict mild wear in implants based on varying kinematics, loads, and material properties. This paper reports the implementation of a computer modeling approach that uses fluoroscopically measured motions as inputs and predicts patient-specific implant damage using computationally efficient dynamic contact and tribological analyses. Multibody dynamic simulations of two activities (gait and stair) with two loading conditions (70–30 and 50–50 medial–lateral load splits) were generated from fluoroscopic data to predict contact pressure and slip velocity time histories for individual elements on the tibial insert surface. These time histories were used in a computational wear analysis to predict the depth of damage due to wear and creep experienced by each element. Predicted damage areas, volumes, and maximum depths were evaluated against a tibial insert retrieved from the same patient who provided the in vivo motions. Overall, the predicted damage was in close agreement with damage observed on the retrieval. The gait and stair simulations separately predicted the correct location of maximum damage on the lateral side, whereas a combination of gait and stair was required to predict the correct location on the medial side. Predicted maximum damage depths were consistent with the retrieval as well. Total computation time for each damage prediction was less than 30
min. Continuing refinement of this approach will provide a robust tool for accurately predicting clinically relevant wear in total knee replacements.</description><subject>Aged</subject><subject>Arthroplasty, Replacement, Knee - instrumentation</subject><subject>Arthroplasty, Replacement, Knee - methods</subject><subject>Biocompatible Materials</subject><subject>Biomechanical Phenomena</subject><subject>Computational wear prediction</subject><subject>Computer-Aided Design</subject><subject>Dynamic contact simulation</subject><subject>Equipment Failure Analysis - methods</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Kinematics</subject><subject>Knee</subject><subject>Knee Joint - diagnostic imaging</subject><subject>Knee Joint - physiopathology</subject><subject>Knee Joint - surgery</subject><subject>Knee Prosthesis</subject><subject>Materials Testing - methods</subject><subject>Patient-specific modeling</subject><subject>Polyethylenes - chemistry</subject><subject>Prosthesis Failure</subject><subject>Radiography</subject><subject>Sports medicine</subject><subject>Stress, Mechanical</subject><subject>Studies</subject><issn>0021-9290</issn><issn>1873-2380</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkE1r3DAQhkVoyG4-_sIiKPRmd2RZXvnWsjQfEAiB5CxkeUTk2JYr2Vv676tlNxR66Wlg5pl3mIeQDYOcAau-dnnXOD-gecsLgDKHIgfGz8iayS3PCi7hE1kDFCyrixpW5DLGDgC25ba-ICsmRC1LIdfkeeeHaZn17Pyoe_oLdaBTwNaZQ4d6SzWd_ZxG7yMiDTj12uCA40xt8AN1I927vafvbsQhpZh4Tc6t7iPenOoVeb398bK7zx6f7h523x8zU1YwZ4UswNYtapTGMGGatqxlhUIKK1hjOeOtNhKlMBwl6EqjaUE3FppS2jThV-TLMXcK_ueCcVaDiwb7Xo_ol6iqLRdMcJHAz_-AnV9C-jYqBrysWRJUJao6Uib4GANaNQU36PA7QeqgXHXqQ7k6KFdQqKQ8LW5O8UszYPt37eQ4Ad-OACYbe4dBReNwNElyQDOr1rv_3fgDj9-W6Q</recordid><startdate>20050201</startdate><enddate>20050201</enddate><creator>Fregly, Benjamin J.</creator><creator>Sawyer, W.Gregory</creator><creator>Harman, Melinda K.</creator><creator>Banks, Scott A.</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TB</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20050201</creationdate><title>Computational wear prediction of a total knee replacement from in vivo kinematics</title><author>Fregly, Benjamin J. ; Sawyer, W.Gregory ; Harman, Melinda K. ; Banks, Scott A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-2820f9deae8cc15cbd4986e585f51bf313dac8e85c3e80a6aecd0abf0b48fac83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Aged</topic><topic>Arthroplasty, Replacement, Knee - instrumentation</topic><topic>Arthroplasty, Replacement, Knee - methods</topic><topic>Biocompatible Materials</topic><topic>Biomechanical Phenomena</topic><topic>Computational wear prediction</topic><topic>Computer-Aided Design</topic><topic>Dynamic contact simulation</topic><topic>Equipment Failure Analysis - methods</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Kinematics</topic><topic>Knee</topic><topic>Knee Joint - diagnostic imaging</topic><topic>Knee Joint - physiopathology</topic><topic>Knee Joint - surgery</topic><topic>Knee Prosthesis</topic><topic>Materials Testing - methods</topic><topic>Patient-specific modeling</topic><topic>Polyethylenes - chemistry</topic><topic>Prosthesis Failure</topic><topic>Radiography</topic><topic>Sports medicine</topic><topic>Stress, Mechanical</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fregly, Benjamin J.</creatorcontrib><creatorcontrib>Sawyer, W.Gregory</creatorcontrib><creatorcontrib>Harman, Melinda K.</creatorcontrib><creatorcontrib>Banks, Scott A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biomechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fregly, Benjamin J.</au><au>Sawyer, W.Gregory</au><au>Harman, Melinda K.</au><au>Banks, Scott A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational wear prediction of a total knee replacement from in vivo kinematics</atitle><jtitle>Journal of biomechanics</jtitle><addtitle>J Biomech</addtitle><date>2005-02-01</date><risdate>2005</risdate><volume>38</volume><issue>2</issue><spage>305</spage><epage>314</epage><pages>305-314</pages><issn>0021-9290</issn><eissn>1873-2380</eissn><abstract>Wear of ultra-high molecular weight polyethylene bearings in total knee replacements remains a major limitation to the longevity of these clinically successful devices. Few design tools are currently available to predict mild wear in implants based on varying kinematics, loads, and material properties. This paper reports the implementation of a computer modeling approach that uses fluoroscopically measured motions as inputs and predicts patient-specific implant damage using computationally efficient dynamic contact and tribological analyses. Multibody dynamic simulations of two activities (gait and stair) with two loading conditions (70–30 and 50–50 medial–lateral load splits) were generated from fluoroscopic data to predict contact pressure and slip velocity time histories for individual elements on the tibial insert surface. These time histories were used in a computational wear analysis to predict the depth of damage due to wear and creep experienced by each element. Predicted damage areas, volumes, and maximum depths were evaluated against a tibial insert retrieved from the same patient who provided the in vivo motions. Overall, the predicted damage was in close agreement with damage observed on the retrieval. The gait and stair simulations separately predicted the correct location of maximum damage on the lateral side, whereas a combination of gait and stair was required to predict the correct location on the medial side. Predicted maximum damage depths were consistent with the retrieval as well. Total computation time for each damage prediction was less than 30
min. Continuing refinement of this approach will provide a robust tool for accurately predicting clinically relevant wear in total knee replacements.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>15598458</pmid><doi>10.1016/j.jbiomech.2004.02.013</doi><tpages>10</tpages></addata></record> |
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subjects | Aged Arthroplasty, Replacement, Knee - instrumentation Arthroplasty, Replacement, Knee - methods Biocompatible Materials Biomechanical Phenomena Computational wear prediction Computer-Aided Design Dynamic contact simulation Equipment Failure Analysis - methods Feasibility Studies Female Humans Kinematics Knee Knee Joint - diagnostic imaging Knee Joint - physiopathology Knee Joint - surgery Knee Prosthesis Materials Testing - methods Patient-specific modeling Polyethylenes - chemistry Prosthesis Failure Radiography Sports medicine Stress, Mechanical Studies |
title | Computational wear prediction of a total knee replacement from in vivo kinematics |
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