title: Automated assessment of synovitis in 0.2T magnetic resonance images of the wrist.
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.
authors.affiliation: Jagiellonian University, Prof. Stanisława Łojasiewicza, 30-059 Krakow, Poland.
authors.forename: Kamila
authors.initials: K
authors.lastname: Czaplicka
authors.affiliation: Jagiellonian University Medical College, Kopernika 19, 31-501 Krakow, Poland; Medical Center iMed24, Zyczkowskiego 29, 31-864 Krakow, Poland.
authors.forename: Wadim
authors.initials: W
authors.lastname: Wojciechowski
authors.affiliation: Jagiellonian University, Prof. Stanisława Łojasiewicza, 30-059 Krakow, Poland.
authors.forename: Justyna
authors.initials: J
authors.lastname: Włodarczyk
authors.affiliation: Jagiellonian University Medical College, Kopernika 19, 31-501 Krakow, Poland.
authors.forename: Andrzej
authors.initials: A
authors.lastname: Urbanik
authors.affiliation: Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland. Electronic address: ztabor@pk.edu.pl.
authors.forename: Zbisław
authors.initials: Z
authors.lastname: Tabor
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001172:Arthritis, Rheumatoid / Q000473:pathology*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D000069550:Machine Learning; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D064847:Multimodal Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014955:Wrist Joint / Q000473:pathology*; D055815:Young Adult
keywords: CAD; RAMRIS; Rheumatoid arthritis; Synovitis; Wrist MRI