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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.29007/7dsg</dc:identifier><dc:language>eng</dc:language><dc:creator>Quilez, María Paz</dc:creator><dc:creator>Delport, Hendrik Pieter</dc:creator><dc:creator>Wirix-Speetjens, Roel</dc:creator><dc:creator>Wesseling, Mariska</dc:creator><dc:creator>Pérez Ansón, María de los Ángeles</dc:creator><dc:creator>Jonkers, Ilse</dc:creator><dc:creator>Vander Sloten, Jos</dc:creator><dc:title>Can standard implants reproduce the native kinematics of a TKA patient?</dc:title><dc:identifier>ART-2019-122371</dc:identifier><dc:description>Total knee arthroplasty (TKA) is a reliable surgical procedure, yet up to a fifth of primary implant patients remains unsatisfied. Musculoskeletal modeling (MSM) has the potential to explore the relationship between implant alignment and functional outcome [3]. Consequently, implant alignment can be quantitatively optimized to restore the preTKA joint behavior and, therefore, achieve the most favorable functional outcome for the specific patient. For this reason, we developed a method to optimize the implant alignment, with the aim of restoring the native kinematics and ligament elongations of the patient before undergoing TKA. Subject-specific optimization towards ligament elongations demonstrated to accurately emulate the pre-TKA ligament behavior, in contrast to the mechanically aligned approach. However, the values of the optimized implant positions resulting from the pre-TKA kinematic optimization were extreme in some cases. The presented modelling approach is a promising starting point for allowing surgeons to evaluate the patient-specific implant alignment and restore the patientspecific biomechanics.</dc:description><dc:date>2019</dc:date><dc:source>http://zaguan.unizar.es/record/100768</dc:source><dc:doi>10.29007/7dsg</dc:doi><dc:identifier>http://zaguan.unizar.es/record/100768</dc:identifier><dc:identifier>oai:zaguan.unizar.es:100768</dc:identifier><dc:identifier.citation>EPiC series in health sciences 3 (2019), 311-314</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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