Founding offer · lifetime membership for a single £24, exclusive to our first members · closes 20 June Claim your place →
Global Research Partnerships £24 Lifetime Log inCreate free account

Funded Projects › FP7

MXL · Enhanced patient safety by computational Modelling from clinically available X-rays to minimise the risk of overload and instability for optimised function and joint Longevity

FP7Status: CLOSED1 January 201031 December 2012EU funding €3,700,000

Osteorthritis (OA) is a disabling disease, affecting the joints of 40% or more of the population over 60, resulting in a socioeconomic burden of €7b. per year in Germany alone. Joint surgery attempts to address the various disease stages, to either minimize the risk of early degeneration of the native joint, or to replace a fully degenerated joint, with well over 1,000,000 surgeries performed annually in the EU. Adequate joint function and longevity are the most important factors that define success, yet at least 10% of reconstructions fail within 10 years of surgery, and a large fraction of native joints progresses to early OA. The ensuing revision surgery is not only painful and stressful for the patient but also costly for the health care providers. Joint failure is a consequence of inadequate competence of the patient's musculoskeletal system, joint overload and instability, or their combination. Currently, surgeons rely on 2D static radiographs and their experience to plan the procedure. To prevent failures and improve outcome, key facts on the mechanical conditions of the joint need to be available to the surgeon. By implementing refined image reconstruction, biomechanical modelling and analysis tools, MXL will make the dynamic joint loading and stability accessible for the planning of joint surgery in every case. Based on this technology, MXL safeguards the patient by supporting the surgeon to decide when to operate, which procedure to use, and which key aspects to address to reduce the failure rate and improve the functional outcome of joint surgery. Therefore, we will develop an ICT based planning environment that provides the surgeon with quantitative information on the patient's anatomy, the competence of the soft and hard tissues, and integrates them within biomechanical models to arrive at an optimal strategy for joint surgery. This will result in a breakthrough with tremendous effects on patient safety and the return of function and joint longevity.

Consortium · 10 organisations

coordinator

UNIVERSITY OF SOUTHAMPTON

UK · €372,567

participant

ACADEMISCH ZIEKENHUIS LEIDEN

NL · €585,156

participant

EURAM LIMITED

UK · €239,940

participant

ESI GROUP

FR · €383,200

participant

SCS SRL

IT · €192,180

participant

ISTITUTO ORTOPEDICO RIZZOLI

IT · €226,350

participant

ZUSE-INSTITUT BERLIN

DE · €528,138

participant

Medis specials b.v.

NL · €82,568

participant

CHARITE - UNIVERSITAETSMEDIZIN BERLIN

DE · €604,280

participant

TECHNISCHE UNIVERSITEIT DELFT

NL · €485,621

Research fields

View the official record on CORDIS →

← Find collaborators and more funded projects

Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.