Literature DB >> 24123587

Correlation between manual 0.2T MRI assessment of synovitis and EULAR-OMERACT scores of the wrist in patients with rheumatoid arthritis.

Wadim Wojciechowski1, Kamila Czaplicka, Justyna Włodarczyk, Zbisław Tabor.   

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.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  RAMRIS; manual segmentation; rheumatoid arthritis; synovitis; wrist MRI

Mesh:

Year:  2013        PMID: 24123587     DOI: 10.1002/jmri.24267

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  1 in total

Review 1.  Polish Medical Society of Radiology and Polish Society of Rheumatology Recommendations for Magnetic Resonance Imaging of Musculoskeletal Disorders in Rheumatology.

Authors:  Iwona Sudoł-Szopińska; Andrzej Urbanik; Wadim Wojciechowski; Agnieszka Warczyńska; Katarzyna Kapuścińska; Mariusz Korkosz; Sławomir Jeka; Brygida Kwiatkowska
Journal:  Pol J Radiol       Date:  2015-05-16
  1 in total

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