TecSan - Technologies pour la santé et l’autonomie 2012

Multimodal Imaging of sub-chondral bone in osteoarthritis of the knee: predictive capacity – MOSART

Multimodal Imaging of sub-chondral bone in osteoarthritis of the knee : predictive capacity

Factors of progression of osteoarthritis are not well known but a greater impact is given to subchondral bone in this poor outcome.<br />The proposed translational research aims to identify predictive factors of knee osteoarthritis from MRI and high resolution analysis of bone texture.

Provide multimodal medical imaging parameters allowing better prediction of osteoarthritis

Osteoarthritis is a major cause of pain, disability and loss of autonomy in the elderly people. Life expectancy progressing, age while maintaining a physical activity without pain has become one of the main challenges. The management of knee osteoarthritis is a major public health issue.<br />To provide imaging model to clinicians and laboratories combining on one hand X-ray high resolution facilitating the measurement of joint space and secondly software to evaluate new texture parameters of the subchondral bone predictive of progression of knee osteoarthritis would be a decisive step.

A cohort of 400 patients will be followed during 3 years. Multimodal imaging tests (X-rays, MRI, EOS stereographies) will be made at baseline and annually for 3 years. The predictive nature of the measured parameters will be evaluated by logistic regression and multivariate analyzes.

non applicable

The results of our study further demonstrated detectable factors on imaging, predicting cartilage degradation in the future will allow the study of potential effects of therapeutic agents targeting the inhibition of bone resorption and bone formation but also structural modulators used in the treatment of knee osteoarthritis.

1. R. Jennane, J. Touvier, M. Bergounioux, E. Lespessailles, “A Variational Model For Trabecular Bone Radiograph Characterization”. IEEE-ISBI 2014, Pékin (Chine), 28 avril-2 mai 2014

Predictive factors of ostearthritis progression are not yet well understood. However, in this unfavourable evolution, a growing role attaches importance to the sub-chondral bone. The aim of the present project is to determine predicrtive factors of progression of osteoarthritis at the knee by a multimodal characterization of subchondral bone by MRI, direct high resolution digitization radiographs and bone texture analysis. At the end of the project, an innovative imaging device called BoneXplorer, combining semi-automatic softwares for texture analysis, control detection and image registration would be supplied. This will enable on the one hand a more accurate and reproducible way to measure the joint space width of the affected compartment and on the other hand, an assistance to better detect patients at risk of progression of their osteoarthritis at the knee. A new acquisition technique so called "tomosynthesis" will facilitate the development of an image algorythm and correct the variations of positioning from an exam to another. These progressor patients could be selected to enter a program adapted to their severe disease, such as biotherapies.

Project coordination

Université

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partnership

D3A D3A Medical Systems

Help of the ANR 864,374 euros
Beginning and duration of the scientific project: March 2013 - 48 Months

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