Literature DB >> 21509868

Quantifying synovitis in rheumatoid arthritis using computer-assisted manual segmentation with 3 Tesla MRI scanning.

Arista S Chand1, Alexandra McHaffie, Andrew W Clarke, Quentin Reeves, Yu Mwee Tan, Nicola Dalbeth, Megan Williams, Fiona McQueen.   

Abstract

PURPOSE: To investigate the reliability, validity and feasibility of a computer-assisted manual segmentation method for determining the synovial membrane volume as a surrogate measure for synovitis in patients with rheumatoid arthritis (RA).
MATERIALS AND METHODS: The 3 Tesla (T) MRI scans were acquired in 22 early RA and 16 established RA patients. Synovial membrane volumes in postcontrast T1w axial images at three wrist joint regions were determined by two nonradiologist observers using a computer-assisted manual segmentation method.
RESULTS: Intraobserver reliability, measured by intraclass correlation coefficients (ICCs), was excellent in the early (ICC = 0.99) and established (ICC = 0.99) RA cohorts. Interobserver reliability (mean ICC [95% Confidence Interval]) was moderate to excellent in the early and established RA groups (ICCs = 0.87 [0.68,0.94] and 0.88 [0.66, 0.96], respectively). There was a strong correlation between the synovial membrane volumes derived by segmentation and the RA MRI scoring system (RAMRIS) scores for synovitis at all joints in the early (Spearman rho = 0.86-0.96) and established (Spearman rho = 0.85-0.93) RA cohorts. The entire segmentation technique took 19 to 21 min per patient.
CONCLUSION: Measurement of MRI synovitis using a computer-assisted manual segmentation method demonstrated excellent intraobserver and very good interobserver reliability, content validity (represented by its strong correlation with RAMRIS synovitis), and moderate feasibility.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21509868     DOI: 10.1002/jmri.22524

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


  7 in total

Review 1.  Insights into rheumatoid arthritis from use of MRI.

Authors:  Fiona M McQueen; Estee Chan
Journal:  Curr Rheumatol Rep       Date:  2014-01       Impact factor: 4.592

2.  ERAMRS: a new MR scoring system for early rheumatoid arthritis of the wrist.

Authors:  Fan Xiao; James F Griffith; Andrea L Hilkens; Jason C S Leung; Jiang Yue; Ryan K L Lee; David K W Yeung; Lai-Shan Tam
Journal:  Eur Radiol       Date:  2019-03-14       Impact factor: 5.315

3.  Computer-aided and manual quantifications of MRI synovitis, bone marrow edema-like lesions, erosion and cartilage loss in rheumatoid arthritis of the wrist.

Authors:  Haitao Yang; Julien Rivoire; Michael Hoppe; Waraporn Srikhum; John Imboden; Thomas M Link; Xiaojuan Li
Journal:  Skeletal Radiol       Date:  2014-12-10       Impact factor: 2.199

4.  Fully automated segmentation of wrist bones on T2-weighted fat-suppressed MR images in early rheumatoid arthritis.

Authors:  Lun Matthew Wong; Lin Shi; Fan Xiao; James Francis Griffith
Journal:  Quant Imaging Med Surg       Date:  2019-04

5.  MRI of Hands with Early Rheumatoid Arthritis: Usefulness of Three-Point Dixon Sequences to Quantitatively Assess Disease Activity.

Authors:  Thomas Kirchgesner; Maria Stoenoiu; Patrick Durez; Nicolas Michoux; Bruno Vande Berg
Journal:  J Belg Soc Radiol       Date:  2022-01-10       Impact factor: 1.894

6.  Computer-Assisted Image Analysis in Assessment of Peripheral Joint MRI in Inflammatory Arthritis: A Systematic Review and Meta-analysis.

Authors:  Arya Haj-Mirzaian; Olga Kubassova; Mikael Boesen; John Carrino; Paul Bird
Journal:  ACR Open Rheumatol       Date:  2022-06-10

7.  Segmentation of bones in magnetic resonance images of the wrist.

Authors:  Justyna Włodarczyk; Kamila Czaplicka; Zbisław Tabor; Wadim Wojciechowski; Andrzej Urbanik
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-08-06       Impact factor: 2.924

  7 in total

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