title: Is there a bone-nail specific entry point? Automated fit quantification of tibial nail designs during the insertion for six different nail entry points.
abstract: Intramedullary nailing is the standard fixation method for displaced diaphyseal fractures of tibia. Selection of the correct nail insertion point is important for axial alignment of bone fragments and to avoid iatrogenic fractures. However, the standard entry point (SEP) may not always optimise the bone-nail fit due to geometric variations of bones. This study aimed to investigate the optimal entry for a given bone-nail pair using the fit quantification software tool previously developed by the authors. The misfit was quantified for 20 bones with two nail designs (ETN and ETN-Proximal Bend) related to the SEP and 5 entry points which were 5 mm and 10 mm away from the SEP. The SEP was the optimal entry point for 50% of the bones used. For the remaining bones, the optimal entry point was located 5 mm away from the SEP, which improved the overall fit by 40% on average. However, entry points 10 mm away from the SEP doubled the misfit. The optimised bone-nail fit can be achieved through the SEP and within the range of a 5 mm radius, except posteriorly. The study results suggest that the optimal entry point should be selected by considering the fit during insertion and not only at the final position.
authors: Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Brisbane, QLD 4059, Australia.
authors: J P
authors: JP
authors: Amarathunga
authors: Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Brisbane, QLD 4059, Australia; Trauma Services, Princess Alexandra Hospital, Brisbane, Australia.
authors: M A
authors: MA
authors: Schuetz
authors: Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Brisbane, QLD 4059, Australia; School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia.
authors: K V D
authors: KV
authors: Yarlagadda
authors: Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Brisbane, QLD 4059, Australia. Electronic address: b.schmutz@qut.edu.au.
authors: B
authors: B
authors: Schmutz
mesh_terms: D000328:Adult; D000368:Aged; D001858:Bone Nails; D005260:Female; D049690:History, Ancient; D006801:Humans; D021621:Imaging, Three-Dimensional; D008875:Middle Aged; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods; D011474:Prosthesis Design; D012984:Software; D013977:Tibia / Q000033:anatomy & histology* / Q000000981:diagnostic imaging / Q000601:surgery*; D014057:Tomography, X-Ray Computed
keywords: Automation; Fit quantification; Fracture fixation; Insertion; Intramedullary nail; Nail entry points; Tibia