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Fully automatic software for detecting radiographic joint space narrowing progression in rheumatoid arthritis : phantom study and comparison with visual assessment

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Title: Fully automatic software for detecting radiographic joint space narrowing progression in rheumatoid arthritis : phantom study and comparison with visual assessment
Authors: Okino, Taichi Browse this author
Ou, Yafei Browse this author
Ikebe, Masayuki Browse this author →KAKEN DB
Tamura, Kenichi Browse this author
Sutherland, Kenneth Browse this author
Fukae, Jun Browse this author
Tanimura, Kazuhide Browse this author
Kamishima, Tamotsu Browse this author →KAKEN DB
Keywords: Connective tissue disease
Joint space
Issue Date: 20-Dec-2022
Publisher: Springer
Journal Title: Japanese journal of radiology
Volume: 41
Start Page: 510
End Page: 520
Publisher DOI: 10.1007/s11604-022-01373-z
PMID: 36538163
Abstract: Purpose We have developed an in-house software equipped with partial image phase-only correlation (PIPOC) which can automatically quantify radiographic joint space narrowing (JSN) progression. The purpose of this study was to evaluate the software in phantom and clinical assessments. Materials and methods In the phantom assessment, the software's performance on radiographic images was compared to the joint space width (JSW) difference using a micrometer as ground truth. A phantom simulating a finger joint was scanned underwater. In the clinical assessment, 15 RA patients were included. The software measured the radiological progression of the finger joints between baseline and the 52nd week. The cases were also evaluated with the Genant-modified Sharp score (GSS), a conventional visual scoring method. We also quantitatively assessed these joints' synovial vascularity (SV) on power Doppler ultrasonography (0, 8, 20 and 52 weeks). Results In the phantom assessment, the PIPOC software could detect changes in JSN with a smallest detectable difference of 0.044 mm at 0.1 mm intervals. In the clinical assessment, the JSW change of the joints with GSS progression detected by the software was significantly greater than those without GSS progression (p = 0.004). The JSW change of joints with positive SV at baseline was significantly higher than those with negative SV (p = 0.024). Conclusion Our in-house software equipped with PIPOC can automatically and quantitatively detect slight radiographic changes of JSW in clinically inactive RA patients.
Rights: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at:
Type: article (author version)
Appears in Collections:保健科学院・保健科学研究院 (Graduate School of Health Sciences / Faculty of Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 神島 保

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