Literature DB >> 19671820

Multiple computer-based methods of measuring joint space width can discriminate between treatment arms in the COBRA trial -- Update of an ongoing OMERACT project.

John T Sharp1, Jane Angwin, Maarten Boers, Jeff Duryea, Axel Finckh, James R Hall, Joost A Kauffman, Robert Landewé, Georg Langs, Cédric Lukas, H J Bernelot Moens, Philipp Peloschek, C Vibeke Strand, Désirée van der Heijde.   

Abstract

Previously reported data on 5 computer-based programs for measurement of joint space width focusing on discriminating ability and reproducibility are updated, showing new data. Four of 5 different programs for measuring joint space width were more discriminating than observer scoring for change in narrowing in the 12 months interval. Three of 4 programs were more discriminating than observer scoring for the 0-18 month interval. The program that failed to discriminate in the 0-12 month interval was not the same program that failed in the 0-18 month interval. The committee agreed at an interim meeting in November 2007 that an important goal for computer-based measurement programs is a 90% success rate in making measurements of joint pairs in followup studies. This means that the same joint must be measured in images of both timepoints in order to assess change over time in serial radiographs. None of the programs met this 90% threshold, but 3 programs achieved 85%-90% success rate. Intraclass correlation coefficients for assessing change in joint space width in individual joints were 0.98 or 0.99 for 4 programs. The smallest detectable change was < 0.2 mm for 4 of the 5 programs, representing 29%-36% of the change within the 99th percentile of measurements.

Mesh:

Year:  2009        PMID: 19671820     DOI: 10.3899/jrheum.090353

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  3 in total

1.  Feasibility study of semi-automated measurements of finger joint space widths.

Authors:  Alexander Pfeil; Julia Sommerfeld; Rosemarie Fröber; Gabriele Lehmann; Ansgar Malich; Andreas Hansch; Gunter Wolf; Joachim Böttcher
Journal:  Rheumatol Int       Date:  2010-04-17       Impact factor: 2.631

2.  Quantitative in vivo HR-pQCT imaging of 3D wrist and metacarpophalangeal joint space width in rheumatoid arthritis.

Authors:  Andrew J Burghardt; Chan Hee Lee; Daniel Kuo; Sharmila Majumdar; John B Imboden; Thomas M Link; Xiaojuan Li
Journal:  Ann Biomed Eng       Date:  2013-07-26       Impact factor: 3.934

3.  Computer-Based Radiographic Quantification of Joint Space Narrowing Progression Using Sequential Hand Radiographs: Validation Study in Rheumatoid Arthritis Patients from Multiple Institutions.

Authors:  Shota Ichikawa; Tamotsu Kamishima; Kenneth Sutherland; Jun Fukae; Kou Katayama; Yuko Aoki; Takanobu Okubo; Taichi Okino; Takahiko Kaneda; Satoshi Takagi; Kazuhide Tanimura
Journal:  J Digit Imaging       Date:  2017-10       Impact factor: 4.056

  3 in total

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