Abstracts Posters SICOT-SOF meeting Gothenburg 2010 _2_

Poster
Topic: General Orthopaedics
Abstract number: 26544
A VIRTUAL BONE DATABASE FOR OPTIMIZATION OF ORTHOPAEDIC
IMPLANT DESIGN
Annika HOMEIER 1 , Felix FISCHER 1 , Walter SCHMIDT 2 , Nils REIMERS 1 , Anders
JÖNSSON 1
1 2
Stryker Osteosynthesis, Schönkirchen (GERMANY), Stryker Orthopaedics,
Mahwah (UNITED STATES)
Orthopaedic implant designs are historically based on data from cadaver bones,
normally from a very limited sample number. However, detailed knowledge of the
variance of bone morphology secures an optimized fit in a larger population. A
population-based design methodology will guarantee an optimal fit for the whole
range of patients and in turn may facilitate better clinical outcome and less device
related complications. Our new implant design methodology is based on bone
surface models of derived image segmented CT scans from patients together with
additional metadata (ethnic group, age, gender etc.). The surface bone models are
transformed to volume models using unique automated volume conversion software.
In addition, we developed semi- and fully-automated methods with which we can
analyse key bone geometries on our virtual, three-dimensional bone data. The aim of
our study was first to validate the automated methods and then to compare them to
data from manually performed volume conversion and geometric measurements. The
automated methods turned out to be reliable, whereas the manually performed
measurements have to be challenged because of high personal subjectivity resulting
in a large statistical variance of the data. This new design methodology is now
implemented in the development process of new implants and further planned
studies will investigate possible facilitation of surgical procedures and enhanced
clinical outcome.
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