Automated assessment of synovitis in 0.2 T magnetic resonance images of the wrist. (1st December 2015)

• Record Type: Journal Article
• Authors: Czaplicka, Kamila; Wojciechowski, Wadim; Włodarczyk, Justyna; Urbanik, Andrzej; Tabor, Zbisław
• Is Part Of: Computers in biology and medicine. Volume 67(2015)
• Page Start: 116
• Page End: 125
• Publication Date: 2015-12-01
• Subjects: Rheumatoid arthritis -- Synovitis -- Wrist MRI -- RAMRIS -- CAD; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2015.10.009
• Languages: English
• ISSNs: 0010-4825

Abstract

Abstract: According to the current recommendations in diagnosis of rheumatoid arthritis (RA), Magnetic Resonance (MR) images of wrist joints are used to evaluate three main types of lesions: synovitis, bone edema and bone erosions. In the clinical practice, the RA-related lesions seen in MR images are assessed manually with the semi-quantitative RAMRIS scoring system. In this paper we present an automated method for inflamed synovial membrane volume determination, based on the analysis of pre- and post-contrast MR images and segmentation of wrist bones seen in MR images. We found that the correlation between the automatically quantified volume of synovitis and RAMRIS scores was in the range from 0.76 to 0.87 for the total RAMRIS synovitis score. This can be compared with the correlation between the manually quantified volume of synovitis and RAMRIS scores which was in the range from 0.75 to 0.81 for the total synovitis score. The results of the study demonstrate that computer assisted methods for assessment of synovitis have great potential for clinical applications.