128092 20241125101159.0 doi 10.1016/j.compbiomed.2023.107381 sideral 135251 ART-2023-135251 eng Asbai-Ghoudan, Reduan In silico assessment of the bone regeneration potential of complex porous scaffolds 2023 Access copy available to the general public Unrestricted Mechanical environment plays a crucial role in regulating bone regeneration in bone defects. Assessing the mechanobiological behavior of patient-specific orthopedic scaffolds in-silico could help guide optimal scaffold designs, as well as intra- and post-operative strategies to enhance bone regeneration and improve implant longevity. Additively manufactured porous scaffolds, and specifically triply periodic minimal surfaces (TPMS), have shown promising structural properties to act as bone substitutes, yet their ability to induce mechanobiologially-driven bone regeneration has not been elucidated. The aim of this study is to i) explore the bone regeneration potential of TPMS scaffolds made of different stiffness biocompatible materials, to ii) analyze the influence of pre-seeding the scaffolds and increasing the post-operative resting period, and to iii) assess the influence of patient-specific parameters, such as age and mechanosensitivity, on outcomes. To perform this study, an in silico model of a goat tibia is used. The bone ingrowth within the scaffold pores was simulated with a mechano-driven model of bone regeneration. Results showed that the scaffold's architectural properties affect cellular diffusion and strain distribution, resulting in variations in the regenerated bone volume and distribution. The softer material improved the bone ingrowth. An initial resting period improved the bone ingrowth but not enough to reach the scaffold's core. However, this was achieved with the implantation of a pre-seeded scaffold. Physiological parameters like age and health of the patient also influence the bone regeneration outcome, though to a lesser extent than the scaffold design. This analysis demonstrates the importance of the scaffold's geometry and its material, and highlights the potential of using mechanobiological patient-specific models in the design process for bone substitutes. info:eu-repo/grantAgreement/ES/AEI/PID2020-113819RB-I00 info:eu-repo/grantAgreement/ES/AEI/PID2021-126471OA-I00 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 7.0 2023 BIOLOGY 7 / 109 = 0.064 2023 Q1 T1 MATHEMATICAL & COMPUTATIONAL BIOLOGY 2 / 66 = 0.03 2023 Q1 T1 ENGINEERING, BIOMEDICAL 16 / 123 = 0.13 2023 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 19 / 170 = 0.112 2023 Q1 T1 1.481 2023 Health Informatics 2023 Q1 Computer Science Applications 2023 Q1 11.7 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Nasello, Gabriele Pérez, María Ángeles Universidad de Zaragoza (orcid)0000-0002-2901-4188 Verbruggen, Stefaan W. Ruiz de Galarreta, Sergio Rodriguez-Florez, Naiara 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 165 (2023), 107381 [12 pp.] Comput. biol. med. Computers in biology and medicine 0010-4825 13972682 http://zaguan.unizar.es/record/128092/files/texto_completo.pdf Versión publicada 2382161 http://zaguan.unizar.es/record/128092/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:128092 articulos driver 2024-11-22-12:10:54 ARTICLE