Literature DB >> 21963809

Reproducibility and influence of hand rotation on computer-aided joint space analysis.

Alexander Pfeil1, Andreas Hansch, Julia Sommerfeld, Rosemarie Fröber, Diane M Renz, Gabriele Lehmann, Ansgar Malich, Gunter Wolf, Joachim Böttcher.   

Abstract

OBJECTIVES: Computer-aided joint space analysis (CAJSA) is a recently developed, semi-automated tool to aid in the measurement of joint space margins based on hand radiographs. The objective of this study is to verify the potential effect of hand rotation during X-ray imaging on the measurement of joint space width using CAJSA and to evaluate the reproducibility of the CAJSA technique in healthy subjects and in patients with rheumatoid arthritis.
METHODS: All joint space distance (JSD) measurements were performed using CAJSA-technology at the metacarpophalangeal articulation based on conventional and digital hand radiographs.
RESULTS: I. Hand rotation showed an effect on the reproducibility with CV ranging between 0.39% (angulation 1°) and 1.66% (angulation 19°). II. Regarding the overall reproducibility of the CAJSA method, the intra-radiograph reproducibility of JSD was calculated with CV=0.54% for conventional images and CV=0.38% for digital images. The inter-radiograph reproducibility error was observed with CV=0.66% (conventional images) and CV=0.63% (digital images). III. The study revealed a reproducibility for CAJSA measurements in RA ranging between 0.37% (JSD-MCP ring finger; van der Heijde-modification of the Sharp method score 1) to 1.37% (JSD-MCP index finger; van der Heijde-modification of the Sharp method score 3).
CONCLUSION: CAJSA measures JSD at the metacarpophalangeal articulation with high reproducibility in healthy subjects and in patients with differing stages of rheumatoid arthritis. Additional findings show that hand rotation during X-ray imaging has an impact on the CAJSA measurements; thus avoiding acquisition of hand radiographs with a rotation error of more than 15 degrees can be recommended.
Copyright © 2011 Société française de rhumatologie. Published by Elsevier SAS. All rights reserved.

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Year:  2011        PMID: 21963809     DOI: 10.1016/j.jbspin.2011.07.011

Source DB:  PubMed          Journal:  Joint Bone Spine        ISSN: 1297-319X            Impact factor:   4.929


  4 in total

1.  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

2.  Fully automated joint space width measurement and digital X-ray radiogrammetry in early RA.

Authors:  Michael Platten; Yogan Kisten; Johan Kälvesten; Laurent Arnaud; Kristina Forslind; Ronald van Vollenhoven
Journal:  RMD Open       Date:  2017-06-29

3.  Joint damage in rheumatoid arthritis: assessment of a new scoring method.

Authors:  Alexander Pfeil; Peter Oelzner; Klaus Bornholdt; Andreas Hansch; Gabriele Lehmann; Diane M Renz; Gunter Wolf; Joachim Böttcher
Journal:  Arthritis Res Ther       Date:  2013-02-13       Impact factor: 5.156

4.  Radiographic remission in rheumatoid arthritis quantified by computer-aided joint space analysis (CASJA): a post hoc analysis of the RAPID 1 trial.

Authors:  Alexander Pfeil; Anica Nussbaum; Diane M Renz; Tobias Hoffmann; Ansgar Malich; Marcus Franz; Peter Oelzner; Gunter Wolf; Joachim Böttcher
Journal:  Arthritis Res Ther       Date:  2020-10-06       Impact factor: 5.156

  4 in total

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