Fully automatic quantitative software for assessment of minute finger joint space narrowing progression on radiographs: evaluation in rheumatoid arthritis patients with long-term sustained clinical low disease activity

Kazuki Kato, Kenneth Sutherland, Yuki Tanaka, Masaru Kato, Jun Fukae, Kazuhide Tanimura, Tamotsu Kamishima*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Purpose: Rheumatoid arthritis (RA) causes joint space narrowing (JSN) as a form of joint destruction. We developed an automatic system that can detect joint locations and compute the joint space difference index (JSDI), which was defined as the chronological change in JSN between two radiographs. This study aims to evaluate the application of “machine vision” for radiographic image of the finger joints. Materials and methods: Fifteen RA patients with long-term sustained clinical low disease activity were recruited. All patients underwent hand radiography and power Doppler ultrasonography (PDUS). The JSN was evaluated using the Genant-modified Sharp scoring (GSS) method and the automatic system. Synovial vascularity (SV) was assessed quantitatively using ultrasonography. Results: There were no significant differences in the JSDI between the joints with JSN and those without JSN on GSS (p = 0.052). The JSDI of the joints with SV was significantly higher than those without SV (p = 0.043). The JSDI of the no therapeutic response group was significantly higher than those of the response group (p < 0.001). Conclusion: Our software can automatically evaluate temporal changes of JSN, which might free rheumatologists / radiologists from the burden of scoring hand radiography.

Original languageEnglish
Pages (from-to)979-986
Number of pages8
JournalJapanese Journal of Radiology
Volume38
Issue number10
DOIs
StatePublished - 2020/10/01

Keywords

  • Joint space narrowing
  • Radiography
  • Rheumatoid arthritis
  • Synovial vascularity
  • Ultrasonography

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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