Correlation between manual 0.2T MRI assessment of synovitis and EULAR‐OMERACT scores of the wrist in patients with rheumatoid arthritis. Issue 5 (9th October 2013)

• Record Type: Journal Article
• Authors: Wojciechowski, Wadim; Czaplicka, Kamila; Włodarczyk, Justyna; Tabor, Zbisław
• Is Part Of: Journal of magnetic resonance imaging. Volume 39:Issue 5(2014)
• Page Start: 1171
• Page End: 1177
• Publication Date: 2013-10-09
• Subjects: synovitis -- rheumatoid arthritis -- manual segmentation -- wrist MRI -- RAMRIS; Magnetic resonance imaging -- Periodicals; 616
• DOI: 10.1002/jmri.24267
• Languages: English
• ISSNs: 1053-1807

Abstract

Abstract : Purpose: To test the correlation between manually assessed volumes of magnetic resonance (MR) signal‐enhancing regions in postcontrast images and MRI‐based rheumatoid arthritis scoring system (RAMRIS) synovitis scores in 0.2T MR data. Materials and Methods: The low‐field (0.2T) extremity MRI scans were acquired in 32 patients (37 study cases) as a part of the rheumatoid arthritis diagnostic procedure in accordance with Outcome Measures in Rheumatology Clinical Trials MRI working group (OMERACT) recommendations. The synovitis in joint regions was assessed based on RAMRIS. Regions of enhanced signals in postcontrast MR images were outlined manually. Results: Spearman's rank‐order correlations between RAMRIS scores and both absolute and relative volumes of signal‐enhancing regions were equal to 0.68, 0.78 (moderately positive) and 0.84 (strongly positive) for distal radioulnar joint (DRUJ), intercarpal‐carpometacarpal joints (ICCMJ), and radiocarpal joint (RCJ), respectively. Absolute and relative volumes of signal‐enhancing regions grow significantly with RAMRIS scores. Conclusion: Development of algorithms for automated detection of signal‐enhancing regions in 0.2T MR images is a reasonable direction of forthcoming studies on computer‐aided diagnosis (CAD) systems supporting low‐field extremity MR‐based diagnosis of rheumatoid arthritis by identifying its symptoms.J. Magn. Reson. Imaging 2014;39:1171–1177 . ©2013 Wiley Periodicals, Inc .