Nico Verdonschot - Biography#

Prof. Verdonschot’s main contribution is the identification of failure processes of orthopaedic implants and subsequent implementation of this knowledge into computer simulation algorithms. These simulations are highly complex as they need to capture the adaptive process of living tissue around the implants. Many researchers look at these processes from a biological/medical point of view, but Verdonschot and his team have demonstrated that there are many (bio)mechanical parameters associated with the adaptive response of tissue around the implants. Over the last 10 years Prof. Verdonschot has expanded the predictive finite element models with musculoskeletal models. The combination of these two types of models is rather unique and allows to apply realistic dynamic loads on implants and other structures in the body. This knowledge is important as living tissue responds heavily on a change of load. A recent breakthrough in his research came in 2014 when he coordinated a European project (TLEMsafe; see Verdonschot demonstrated that the model of his group most accurately simulated the force production in the lower limb. These models are now applied to patients who require tumor surgery and in whom large resections (also of muscle tissue) need to be performed. Verdonschot is able to predict the functional consequences of muscle removal in these tumor patients. This achievement is truly unique and will be implemented to allow for better patient care.

Prof. Verdonschot started in 2013 with his ERC Advanced Grant, entitled: ‘Biomechanical diagnostic, pre-planning and outcome tools to improve musculoskeletal surgery’. Combinations of highly sophisticated imaging modalities (MRI and ultrasound) with computer modeling techniques are used to predict treatment outcome of orthopaedic patients on a patient-specific basis.

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