Het onderzoek

Decision Support for Orthopaedics (DeSSOS)



PhD students

  • Nienke Wolterbeek MSc (Clinical fluoroscopy assessment)
  • Andre Prins (Optimisation of fluoroscopy software)


  • Thisbe van Strien MD (Time action analysis)


  • Fluoroscopy
  • Time-action analysis

Start/End Date

January 1 2006 – September 30 2010

Grant giver

EU (6FP)

Academic partners

  • University of Southampton (coordinator of project), United Kingdom
  • Charité and Julius Wolff Institute, Berlin, Germany
  • Zuse Institute Berlin, Germany
  • Aragón Institute of Engineering Research, University of Zaragoza
  • Commercial partners
  • DePuy, Finsbury, ESI Group SA


In 2005, there were approximately 540,000 knee replacement operations in the EU, this number will continue to rise, suggesting that by 2010 this figure is expect to be close to 750,000 implants required per year. Current statistics indicate that for total knee replacement operations, for patients over 60 year old approximately 5% will require subsequent corrective operations within 10 years following initial surgery. However, for patients less than 60, approximately 10% will require revision within 10 years of surgery. As the number of younger patients (below 60) is increasing, there has been a shift in emphasis, with post-operative function and implant longevity becoming increasingly important.

The main objective of this project is to develop patient-specific biomechanical models of the knee that will be encapsulated in software that is designed to support orthopaedic surgeons to assess pre- and intra-operatively the optimal configuration and position of total knee prostheses in order to maximise the effectiveness of the procedure and therefore to offer the best possible surgical outcome.

It is imperative that any device or software that predicts, alters or influences surgical outcome is not only tested, but fully assessed and validated before it can have any direct medical application. We lead a work package that is central to the DeSSOS project to ensure the biomechanical models and software is assessed, tested and validated as far as possible against prospective clinical data. Therefore, we analyse knee kinematics of patients that are enrolled in Berlin, Southampton and Leiden using synchronised fluoroscopic registration, contact forces, muscle activity, and external movement registration.