100768 20231023123342.0 doi 10.29007/7dsg sideral 122371 ART-2019-122371 eng Quilez, María Paz Can standard implants reproduce the native kinematics of a TKA patient? 2019 Access copy available to the general public Unrestricted 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. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Delport, Hendrik Pieter Wirix-Speetjens, Roel Wesseling, Mariska Pérez Ansón, María de los Ángeles Universidad de Zaragoza (orcid)0000-0002-2901-4188 Jonkers, Ilse Vander Sloten, Jos 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 3 (2019), 311-314 EPiC ser. health sci. EPiC series in health sciences 2398-5305 430233 http://zaguan.unizar.es/record/100768/files/texto_completo.pdf Versión publicada 1742491 http://zaguan.unizar.es/record/100768/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:100768 articulos driver 2023-10-23-12:21:20 ARTICLE