Literature DB >> 20665803

Assessment of synovitis in the osteoarthritic knee: Comparison between manual segmentation, semiautomated segmentation, and semiquantitative assessment using contrast-enhanced fat-suppressed T1-weighted MRI.

Amber Kassel Fotinos-Hoyer1, Ali Guermazi, Hernán Jara, Felix Eckstein, Al Ozonoff, Hussain Khard, Alexander Norbash, Klaus Bohndorf, Frank W Roemer.   

Abstract

Osteoarthritic joints regularly exhibit synovitis, which is ideally assessed on contrast-enhanced MRI. Manual segmentation is the reference standard for volumetric analysis but is labor intensive. The aim was to evaluate alternative semiautomated approaches of targeted thresholding and gaussian deconvolution. Volumetric and semiquantitative synovitis assessment was compared in addition. Thirty-two knees with osteoarthritis were scanned on a 1.5-T system. Synovitis volumes were plotted against each other and distributions fit with linear functions. The relationship between semiquantitative scores and synovitis volumes was assessed using Spearman's correlation coefficient. Semiautomated volume measurement was more time efficient than manual segmentation and showed a high correlation with manual analysis (R(2) = 0.88 and 0.82). Manual segmentation was correlated with summed and with maximum semiquantitative synovitis scores (rho = 0.71 and 0.47). In conclusion, semiautomated analysis provides comparable quantitative results when compared to manual segmentation but is approximately five times more time efficient. Semiquantitative assessment adds anatomic information on synovitis distribution.

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Year:  2010        PMID: 20665803     DOI: 10.1002/mrm.22401

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  7 in total

1.  Assessment of synovitis with contrast-enhanced MRI using a whole-joint semiquantitative scoring system in people with, or at high risk of, knee osteoarthritis: the MOST study.

Authors:  Ali Guermazi; Frank W Roemer; Daichi Hayashi; Michel D Crema; Jingbo Niu; Yuqing Zhang; Monica D Marra; Avinash Katur; John A Lynch; George Y El-Khoury; Kristin Baker; Laura B Hughes; Michael C Nevitt; David T Felson
Journal:  Ann Rheum Dis       Date:  2010-12-27       Impact factor: 19.103

2.  MRI-based volumetric assessment of joint effusion in knee osteoarthritis using proton density-weighted fat-suppressed and T1-weighted contrast-enhanced fat-suppressed sequences.

Authors:  Samer Habib; Ali Guermazi; Al Ozonoff; Daichi Hayashi; Michel D Crema; Frank W Roemer
Journal:  Skeletal Radiol       Date:  2011-05-20       Impact factor: 2.199

Review 3.  The role of synovitis in osteoarthritis pathogenesis.

Authors:  Carla R Scanzello; Steven R Goldring
Journal:  Bone       Date:  2012-02-22       Impact factor: 4.398

4.  Between-group differences in infra-patellar fat pad size and signal in symptomatic and radiographic progression of knee osteoarthritis vs non-progressive controls and healthy knees - data from the FNIH Biomarkers Consortium Study and the Osteoarthritis Initiative.

Authors:  A Ruhdorfer; F Haniel; T Petersohn; J Dörrenberg; W Wirth; T Dannhauer; D J Hunter; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2017-02-12       Impact factor: 6.576

Review 5.  The impact of MRI on the clinical management of inflammatory arthritides.

Authors:  Ulrich Weber; Mikkel Østergaard; Robert G W Lambert; Walter P Maksymowych
Journal:  Skeletal Radiol       Date:  2011-08-17       Impact factor: 2.199

Review 6.  Mesenchymal Stem Cells for Cartilage Regeneration of TMJ Osteoarthritis.

Authors:  Dixin Cui; Hongyu Li; Xin Xu; Ling Ye; Xuedong Zhou; Liwei Zheng; Yachuan Zhou
Journal:  Stem Cells Int       Date:  2017-10-16       Impact factor: 5.443

7.  Measurement of synovial tissue volume in knee osteoarthritis using a semiautomated MRI-based quantitative approach.

Authors:  Thomas A Perry; Andrew Gait; Terence W O'Neill; Matthew J Parkes; Richard Hodgson; Michael J Callaghan; Nigel K Arden; David T Felson; Timothy F Cootes
Journal:  Magn Reson Med       Date:  2019-02-15       Impact factor: 4.668

  7 in total

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