Computational Modelling Group

Seminar  12th January 2010 4 p.m.  Building 53 (Mountbatten), Room 4025

ICSS Seminar Series: Accounting for surgical and patient variability in assessing total joint replacements - approaches and challenges

Professor Mark Taylor
School of Engineering Sciences

Web page
http://www.icss.soton.ac.uk/seminars.html
Categories
Biomedical
Submitter
Deborah Guy

Professor Mark Taylor

It is becoming increasingly difficult to differentiate the performance of new hip and knee replacement designs using current pre-clinical test methods. The vast majority of published computational studies are performed on a representative subjects anatomy, with optimal implant placement, subjected to idealised loading conditions. Extrapolating these results to the larger patient population is unlikely to predict the potential risk of failure. It is well accepted that there can be significant variation between patients (mass, activity levels and bone quality) and also in surgery (implant size and orientation) and it is only by integrating these parameters into our models that we may better assess the risk of failure. Increases in computational power are leading to the application of probabilistic and stochastic techniques to examine the influence of multiple variables simultaneously, such as the Monte Carlo method or more computationally efficient reliability methods. The challenge in developing these techniques is automating the simulation process, particularly when aiming to generate hundreds or thousands of models. Some potential approaches and further challenges will be discussed.