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dc.contributor.authorHu, J
dc.contributor.authorGundry, M
dc.contributor.authorZheng, K
dc.contributor.authorZhong, J
dc.contributor.authorHourigan, P
dc.contributor.authorMeakin, JR
dc.contributor.authorWinlove, CP
dc.contributor.authorToms, AD
dc.contributor.authorKnapp, KM
dc.contributor.authorChen, J
dc.date.accessioned2022-05-12T10:34:48Z
dc.date.issued2022-04-17
dc.date.updated2022-05-12T10:09:08Z
dc.description.abstractThe demand for revision knee replacement (RKR) has increased dramatically with rising patient life expectancy and younger recipients for primary TKR. However, significant challenges to RKR arise from osseous defects, reduced bone quality, potential bone volume loss from implant removal and the need to achieve implant stability. This study utilizes the outcomes of an ongoing RKR clinical trial using porous metaphyseal cones 3D-printed of titanium, to investigate 1) bone mineral density (BMD) changes in three fixation zones (epiphysis, metaphysis, and diaphysis) over a year and 2) the biomechanical effects of the cones at 6 months post-surgery. It combines dual-energy x-ray absorptiometry (DXA), computed tomography (CT) with patient-specific based finite element (FE) modelling. Bone loss (-0.086 ± 0.05 g/cm2) was found in most patients over the first year. The biomechanical assessment considered four different loading scenarios from standing, walking on a flat surface, and walking downstairs, to a simulated impact of the knee. The patient-specific FE models showed that the cones marginally improved the strain distribution in the bone and shared the induced load but played a limited role in reducing the risks of bone fracture or cement debonding. This technique of obtaining real live data from a randomized clinical trial and inserting it into an in-silico FE model is unique and innovative in RKR research. The tibia RKR biomechanics examined open up further possibilities, allowing the in-silico testing of prototypes and implant combinations without putting patients at risk as per the recommended IDEAL framework standards. This process with further improvements could allow rapid innovation, optimization of implant design, and improve surgical planning.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.format.extent105233-
dc.format.mediumPrint-Electronic
dc.identifier.citationVol. 131, article 105233en_GB
dc.identifier.doihttps://doi.org/10.1016/j.jmbbm.2022.105233
dc.identifier.grantnumberEP/T008059/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/129594
dc.identifierORCID: 0000-0002-7403-185X (Meakin, Judith R)
dc.identifierScopusID: 7006369272 (Meakin, Judith R)
dc.identifierResearcherID: AAL-6094-2021 (Meakin, Judith R)
dc.identifierORCID: 0000-0001-7121-0994 (Chen, Junning)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/35504197en_GB
dc.rights© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectBone densityen_GB
dc.subjectCement debondingen_GB
dc.subjectDisuse resorptionen_GB
dc.subjectMetaphyseal cones augmentationen_GB
dc.subjectOsseointegrationen_GB
dc.subjectRevision knee replacementen_GB
dc.titleThe biomechanics of metaphyseal cone augmentation in revision knee replacementen_GB
dc.typeArticleen_GB
dc.date.available2022-05-12T10:34:48Z
dc.identifier.issn1751-6161
exeter.article-number105233
exeter.place-of-publicationNetherlands
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.eissn1878-0180
dc.identifier.journalJournal of the Mechanical Behavior of Biomedical Materialsen_GB
dc.relation.ispartofJ Mech Behav Biomed Mater, 131
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-04-09
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-04-17
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-05-12T10:33:14Z
refterms.versionFCDVoR
refterms.dateFOA2022-05-12T10:35:19Z
refterms.panelBen_GB


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© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).