000106221 001__ 106221
000106221 005__ 20230519145443.0
000106221 0247_ $$2doi$$a10.1016/j.jmbbm.2021.104641
000106221 0248_ $$2sideral$$a124461
000106221 037__ $$aART-2021-124461
000106221 041__ $$aeng
000106221 100__ $$aVautrin, Antoine
000106221 245__ $$aTime-dependent in silico modelling of orthognathic surgery to support the design of biodegradable bone plates
000106221 260__ $$c2021
000106221 5060_ $$aAccess copy available to the general public$$fUnrestricted
000106221 5203_ $$aOrthognathic surgery is performed to realign the jaws of a patient through several osteotomies. The state-of- the-art bone plates used to maintain the bone fragments in place are made of titanium. The presence of these non-degradable plates can have unwanted side effects on the long term (e.g. higher infection risk) if they are not removed. Using a biodegradable material such as magnesium may be a possible solution to this problem. However, biodegradation leads to a decrease of mechanical strength, therefore a time-dependent computational approach can help to evaluate the performance of such plates. In the present work, a computational framework has been developed to include biodegradation and bone healing algorithms in a finite element model. It includes bone plates and the mandible, which are submitted to masticatory loads during the early healing period (two months following the surgery). Two different bone plate designs with different stiffnesses have been tested. The stiff design exhibited good mechanical stability, with maximum Von Mises stress being less than 40% of the yield strength throughout the simulation. The flexible design shows high stresses when the bone healing has not started in the fracture gaps, indicating possible failure of the plate. However, this design leads to a higher bone healing quality after two months, as more cartilage is formed due to higher strains exerted in fracture gaps. We therefore conclude that in silico modelling can support tuning of the design parameters to ensure mechanical stability and while promoting bone healing.
000106221 536__ $$9info:eu-repo/grantAgreement/EC/H2020/722535/EU/Predictive models and simulations in bone regeneration: a multiscale patient-specific approach/CuraBone$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 722535-CuraBone
000106221 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000106221 590__ $$a4.042$$b2021
000106221 592__ $$a0.746$$b2021
000106221 594__ $$a6.6$$b2021
000106221 591__ $$aENGINEERING, BIOMEDICAL$$b48 / 98 = 0.49$$c2021$$dQ2$$eT2
000106221 593__ $$aBiomedical Engineering$$c2021$$dQ2
000106221 591__ $$aMATERIALS SCIENCE, BIOMATERIALS$$b27 / 46 = 0.587$$c2021$$dQ3$$eT2
000106221 593__ $$aBiomaterials$$c2021$$dQ2
000106221 655_4 $$ainfo:eu-repo/semantics/article
000106221 700__ $$aWesseling, Mariska
000106221 700__ $$aWirix-Speetjens, Roel
000106221 700__ $$0(orcid)0000-0002-1878-8997$$aGómez Benito, María José$$uUniversidad de Zaragoza
000106221 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000106221 773__ $$g121 (2021), 104641$$pJ. mech. behav. boomed. mater.$$tJournal of the Mechanical Behavior of Biomedical Materials$$x1751-6161
000106221 8564_ $$s1930449$$uhttps://zaguan.unizar.es/record/106221/files/texto_completo.pdf
000106221 8564_ $$s2791431$$uhttps://zaguan.unizar.es/record/106221/files/texto_completo.jpg?subformat=icon$$xicon
000106221 909CO $$ooai:zaguan.unizar.es:106221$$particulos$$pdriver
000106221 951__ $$a2023-05-18-14:35:25
000106221 980__ $$aARTICLE