Bioinspired Sternal Implant Design for Generic Anatomical Reconstruction

An In Silico Framework for Material Selection and Biomechanical Validation

Journal Article (2026)
Author(s)

Isıl Kutbay (University of Health Sciences, Uskudar)

Zeynep Gerdan (Bayburt University)

Murat Çolak (Bayburt University)

Yasemin Tabak (TÜBITAK UME National Metrology Institute)

A.T. ŞENSOY (TU Delft - Mechanical Engineering, Erasmus MC, Samsun University)

Research Group
Biomaterials & Tissue Biomechanics
DOI related publication
https://doi.org/10.3390/biomimetics11040251 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Biomaterials & Tissue Biomechanics
Journal title
Biomimetics
Issue number
4
Volume number
11
Article number
251
Downloads counter
8
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Abstract

The sternum protects the intrathoracic organs and contributes to chest wall mechanics, which makes reconstruction after tumor resection, trauma, or infection a demanding biomechanical problem. This study presents an in silico workflow for preselecting materials for sternal implants before physical prototyping. After a virtual resection, an anatomically conformal implant was designed and candidate biomaterials were screened in CES Selector using density, elastic modulus, fatigue strength, fracture toughness, toxicity, medical grade suitability, and MRI safety. A representative subset of the screened candidates was then compared by finite element modeling in terms of stress transfer and deformation. Seventeen candidates met the screening criteria. Ti-13Nb-13Zr showed an elastic modulus of about 80 GPa, and the titanium-based candidates showed deformation values of about 0.96 to 1.03 mm, whereas GF PEEK reached about 1.74 mm. The stress shielding index also showed that titanium-based materials remained on the implant-dominant side, while polymer-based materials shifted stress transfer toward bone. Taken together, the findings suggest that Ti-13Nb-13Zr offers the best overall balance for load-bearing sternal reconstruction, whereas PEEK-based systems may be more suitable within the present model for hybrid or adjunct designs. The proposed workflow can support early implant planning and guide future experimental and clinical studies.