Treatments & Early Prognosis

Processing of MRI and dynamic MRI data is nowadays a common problem. It is challenging because of diversify and complexity of sequences, equipment and applications, as well as the specific requirements of clinicians, make it difficult to solve in a computer science point of view.

Indeed, clinicians need

dedicated,
efficient,
intuitive, and
reactive

software tools to process, evaluate and quantify the data and make a diagnostic decision faster.

Moreover there is an obvious need to put together state-of-the-art as well as cutting edge technology to provide clinical doctors and researcher with a wide spectrum of tools for better data management.

Reliability and responsiveness of Dynamika parameters

A recent paper published in Scandinavian Journal of Rheumatology (M. Axelsen, M. Ostergaard, 2011) aimed to investigate the responsiveness to treatment and the reliability of DCE-MRI in RA knee joints.

In 12 clinically active RA knee joints DCE-MRI was performed before and 1, 7, 30 and 180 days after intra-articular injection with 80 mg methylprednisolone. All data was processed using Dynamika. In all patients clinical remission of the knee was achieved at day 7. All DCE-MRI parameters decreased from day 0 to day 7. Placing a quick ROI method, we observed decrease in IRE by 69%, in ME by 11%, in a number of voxels by 57%, and the parameter IRExNvoxel decreased by 85%. The intra-and inter- reader ICCs were between 0.96 and 1.00. The decline in DCE-MRI parameters was larger comparing to the decline in the SDC for all patients. This research concluded that DCE-MRI analyzed using Dynamika software is a reliable and responsive tool for assessing response to treatment in RA knees joints.