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Can we safely deform a plate to fit every bone? Population-based fit assessment and finite element deformation of a distal tibial plate

Overview of attention for article published in Medical Engineering & Physics, December 2015
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Title
Can we safely deform a plate to fit every bone? Population-based fit assessment and finite element deformation of a distal tibial plate
Published in
Medical Engineering & Physics, December 2015
DOI 10.1016/j.medengphy.2015.11.012
Pubmed ID
Authors

Hazreen Harith, Beat Schmutz, Javad Malekani, Michael A. Schuetz, Prasad K. Yarlagadda

Abstract

Anatomically precontoured plates are commonly used to treat periarticular fractures. A well-fitting plate can be used as a tool for anatomical reduction of the fractured bone. Recent studies highlighted that some plates fit poorly for many patients due to considerable shape variations between bones of the same anatomical site. While it is impossible to design one shape that fits all, it is also burdensome for the manufacturers and hospitals to produce, store and manage multiple plate shapes without the certainty of utilization by a patient population. In this study, we investigated the number of shapes required for maximum fit within a given dataset, and if they could be obtained by manually deforming the original plate. A distal medial tibial plate was automatically positioned on 45 individual tibiae, and the optimal deformation was determined iteratively using finite element analysis simulation. Within the studied dataset, we found that: (i) 89% fit could be achieved with four shapes, (ii) 100% fit was impossible through mechanical deformation, and (iii) the deformations required to obtain the four plate shapes were safe for the stainless steel plate for further clinical use. The proposed framework is easily transferable to other orthopaedic plates.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Researcher 5 16%
Student > Bachelor 3 10%
Other 2 6%
Student > Doctoral Student 2 6%
Other 5 16%
Unknown 9 29%
Readers by discipline Count As %
Engineering 13 42%
Medicine and Dentistry 3 10%
Unspecified 1 3%
Design 1 3%
Unknown 13 42%