Bioinspired Sternal Implant Design for Generic Anatomical Reconstruction: An In Silico Framework for Material Selection and Biomechanical Validation

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Özet

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.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/11094Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.3390/biomimetics11040251Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorKutbay, Işıl
dc.contributor.authorGerdan, Zeynep
dc.contributor.authorÇolak, Murat
dc.contributor.authorTabak, Yasemin
dc.contributor.authorŞensoy, Abdullah Tahir
dc.date.accessioned2026-10-29T19:08:02.811076626Z
dc.date.available2026-10-29T19:08:02.811076626Z
dc.date.issued2026
dc.description.abstractThe 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.
dc.description.sponsorshipTechnische Universiteit Delft
dc.identifier.articlenumber251
dc.identifier.doi10.3390/biomimetics11040251
dc.identifier.eissn2313-7673
dc.identifier.issn2313-7673
dc.identifier.issue4
dc.identifier.pmcidPMC13112937
dc.identifier.pmid42041481
dc.identifier.scopus2-s2.0-105037007949
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/11094
dc.identifier.volume11
dc.identifier.wosWOS:001749916000001
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofBiomimetics
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectbioinspired design
dc.subjectbiomaterial selection
dc.subjectCES selector
dc.subjectfinite element analysis
dc.subjectsternum implant
dc.subjectthoracic reconstruction
dc.subject.classificationEngineering, Multidisciplinary
dc.subject.classificationMaterials Science, Biomaterials
dc.subject.classificationEngineering
dc.subject.classificationMaterials Science
dc.subject.otherBiomechanics
dc.subject.otherBone
dc.subject.otherDiagnosis
dc.subject.otherMetal implants
dc.subject.otherPolymeric implants
dc.subject.otherTitanium
dc.subject.otherTitanium alloys
dc.subject.otherbiomaterial
dc.subject.othernickel
dc.subject.otherpolymer
dc.subject.otherBio-inspired designs
dc.subject.otherBiomaterial selections
dc.subject.otherCES selector
dc.subject.otherFinite element analyse
dc.subject.otherIn-silico
dc.subject.otherSternum implant
dc.subject.otherStress transfer
dc.subject.otherThoracic reconstruction
dc.subject.otherTitanium-based
dc.subject.otherWork-flows
dc.subject.otherArticle
dc.subject.otherbiocompatibility
dc.subject.otherclinical outcome
dc.subject.othercomputer model
dc.subject.otherdecision making
dc.subject.otherdesign
dc.subject.otherfinite element analysis
dc.subject.otherGeneric Anatomical Reconstruction
dc.subject.othergeometry
dc.subject.otherhuman
dc.subject.othermedical procedures
dc.subject.othernuclear magnetic resonance imaging
dc.subject.otherprediction
dc.subject.othersegmental sternectomy
dc.subject.othersimulation
dc.subject.otherthermal conductivity
dc.subject.otherworkflow
dc.subject.otherwound healing
dc.subject.otherYoung modulus
dc.subject.otherElastic moduli
dc.titleBioinspired Sternal Implant Design for Generic Anatomical Reconstruction: An In Silico Framework for Material Selection and Biomechanical Validation
dc.typeArticle
rdl.citation.openalex0
rdl.citation.scopus0
rdl.citation.wos0
rdl.departmentDepartment of Electronics and Automation, University of Health Sciences, Uskudar, 34668 Istanbul, Türkiye
rdl.departmentVocational School of Technical Sciences, Department of Digital Health Systems Technician, Bayburt University, 69000 Bayburt, Türkiye
rdl.departmentVocational School of Technical Sciences, Department of Electronic Automation, Bayburt University, 69000 Bayburt, Türkiye
rdl.departmentTÜBİTAK National Metrology Institute (UME), 41470 Gebze, Türkiye
rdl.departmentFaculty of Mechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands
rdl.departmentDepartment of Oral and Maxillofacial Surgery, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GE Rotterdam, The Netherlands
rdl.departmentDepartment of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Samsun University, 55420 Samsun, Türkiye
rdl.oa.statusgold
rdl.oa.statusgreen
rdl.oa.urlhttps://www.mdpi.com/2313-7673/11/4/251/pdf?version=1775376009
rdl.scopus.quartileQ2
rdl.sdgSDG03
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)