抄録
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.
本文言語 | 英語 |
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ページ(範囲) | 979-986 |
ページ数 | 8 |
ジャーナル | Japanese Journal of Radiology |
巻 | 38 |
号 | 10 |
DOI | |
出版ステータス | 出版済み - 2020/10/01 |
ASJC Scopus 主題領域
- 放射線学、核医学およびイメージング