Literature DB >> 28378032

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

Shota Ichikawa1, Tamotsu Kamishima2, Kenneth Sutherland3, Jun Fukae4, Kou Katayama5, Yuko Aoki4, Takanobu Okubo5, Taichi Okino1, Takahiko Kaneda1, Satoshi Takagi6, Kazuhide Tanimura4.   

Abstract

We have developed a refined computer-based method to detect joint space narrowing (JSN) progression with the joint space narrowing progression index (JSNPI) by superimposing sequential hand radiographs. The purpose of this study is to assess the validity of a computer-based method using images obtained from multiple institutions in rheumatoid arthritis (RA) patients. Sequential hand radiographs of 42 patients (37 females and 5 males) with RA from two institutions were analyzed by a computer-based method and visual scoring systems as a standard of reference. The JSNPI above the smallest detectable difference (SDD) defined JSN progression on the joint level. The sensitivity and specificity of the computer-based method for JSN progression was calculated using the SDD and a receiver operating characteristic (ROC) curve. Out of 314 metacarpophalangeal joints, 34 joints progressed based on the SDD, while 11 joints widened. Twenty-one joints progressed in the computer-based method, 11 joints in the scoring systems, and 13 joints in both methods. Based on the SDD, we found lower sensitivity and higher specificity with 54.2 and 92.8%, respectively. At the most discriminant cutoff point according to the ROC curve, the sensitivity and specificity was 70.8 and 81.7%, respectively. The proposed computer-based method provides quantitative measurement of JSN progression using sequential hand radiographs and may be a useful tool in follow-up assessment of joint damage in RA patients.

Entities:  

Keywords:  Computer assisted detection; Hand; Radiography

Mesh:

Year:  2017        PMID: 28378032      PMCID: PMC5603443          DOI: 10.1007/s10278-017-9970-9

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  32 in total

1.  Reading radiographs in chronological order, in pairs or as single films has important implications for the discriminative power of rheumatoid arthritis clinical trials.

Authors:  D van Der Heijde; A Boonen; M Boers; P Kostense; S van Der Linden
Journal:  Rheumatology (Oxford)       Date:  1999-12       Impact factor: 7.580

2.  How to read radiographs according to the Sharp/van der Heijde method.

Authors:  D van der Heijde
Journal:  J Rheumatol       Date:  2000-01       Impact factor: 4.666

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

Authors:  John T Sharp; 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
Journal:  J Rheumatol       Date:  2009-08       Impact factor: 4.666

4.  Performance of computer-based analysis using temporal subtraction to assess joint space narrowing progression in rheumatoid patients.

Authors:  Shota Ichikawa; Tamotsu Kamishima; Kenneth Sutherland; Takanobu Okubo; Kou Katayama
Journal:  Rheumatol Int       Date:  2015-08-23       Impact factor: 2.631

5.  Neural network based algorithm to quantify joint space width in joints of the hand for arthritis assessment.

Authors:  J Duryea; Y Jiang; M Zakharevich; H K Genant
Journal:  Med Phys       Date:  2000-05       Impact factor: 4.071

6.  The usefulness of computer-aided joint space analysis in the assessment of rheumatoid arthritis.

Authors:  Alexander Pfeil; Diane M Renz; Andreas Hansch; Franz Kainberger; Gabriele Lehmann; Ansgar Malich; Gunter Wolf; Joachim Böttcher
Journal:  Joint Bone Spine       Date:  2012-12-12       Impact factor: 4.929

7.  Automatic Quantification of Radiographic Finger Joint Space Width of Patients With Early Rheumatoid Arthritis.

Authors:  Yinghe Huo; Koen L Vincken; Desiree van der Heijde; Maria J H De Hair; Floris P Lafeber; Max A Viergever
Journal:  IEEE Trans Biomed Eng       Date:  2015-12-29       Impact factor: 4.538

8.  Radiographic hand joint space width assessed by computer is a sensitive measure of change in early rheumatoid arthritis.

Authors:  Jane Angwin; Andrew Lloyd; Geoff Heald; Gerald Nepom; Michael Binks; Michael F James
Journal:  J Rheumatol       Date:  2004-06       Impact factor: 4.666

Review 9.  Deciding on progression of joint damage in paired films of individual patients: smallest detectable difference or change.

Authors:  K Bruynesteyn; M Boers; P Kostense; S van der Linden; D van der Heijde
Journal:  Ann Rheum Dis       Date:  2004-07-29       Impact factor: 19.103

10.  Computer-aided joint space analysis of the metacarpal-phalangeal and proximal-interphalangeal finger joint: normative age-related and gender-specific data.

Authors:  Alexander Pfeil; Joachim Böttcher; Bettina E Seidl; Jens-Peter Heyne; Alexander Petrovitch; Torsten Eidner; Hans-Joachim Mentzel; Gunter Wolf; Gert Hein; Werner A Kaiser
Journal:  Skeletal Radiol       Date:  2007-05-17       Impact factor: 2.199

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  2 in total

Review 1.  Use of artificial intelligence in imaging in rheumatology - current status and future perspectives.

Authors:  Berend Stoel
Journal:  RMD Open       Date:  2020-01

2.  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

  2 in total

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