Effect of the initial implant fitting on the predicted secondary stability of a cementless stem

Marco Viceconti, A. Pancanti, M. Dotti, F. Traina, L. Cristofolini

Research output: Contribution to journalArticlepeer-review


A numerical model able to investigate the influence of biomechanical factors of the long-term secondary stability of implants would be extremely useful for the design of new cementless prosthetic devices. A purely biomechanical model of osseo-integration has been developed, formulated as a rule-based adaptation scheme. Due to its complexity, the problem was divided into three steps: preliminary implementation of the model (proof of concept); implementation of the complete model and investigation of the model solution; and model validation. The paper describes the first of these three steps. The model was implemented as a discrete-states machine, and the few parameters required were derived from the literature. It was then applied to a real clinical case. The study was conducted using the frictional contact finite element model of a human femur implanted with a cementless anatomical stem. A stable solution was achieved after between three and 15 iterations for all initial positions considered. Similar initial conditions yielded similar final configurations. The model predicted all initial configurations, with the exception of a partial osseo-integration, ranging between 62% (distal fit) and 78% (proximal fit) of the viable interface. This is in good agreement with the values reported in the literature that never exceed 75%, even in the best conditions, and report better clinical results for proximal fit. For the varus configuration, which lacks cortical support, the algorithm predicted a completed loosening.

Original languageEnglish
Pages (from-to)222-229
Number of pages8
JournalMedical and Biological Engineering and Computing
Issue number2
Publication statusPublished - Mar 2004


  • Cementless stem
  • Implant fitting
  • Numerical model
  • Osseo-integration
  • Secondary stability

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management
  • Computer Science Applications
  • Computational Theory and Mathematics


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