論文の公開元へAssessment of Automatic Software for Detecting Radiographic Joint Space Narrowing Progression in Rheumatoid Arthritis [an abstract of entire text]
概要
The main results of this study were as follows.
First, this study clarified the accuracy to which automated in-house software is able
to precisely measure JSW. The potential for clinical application was demonstrated in terms
of both phantom validation and comparison of visual evaluation. In the phantom assessment,
the software could detect changes in JSN with the smallest detectable difference of 0.044 mm.
In the clinical assessment, the software was comparable to the conventional scoring method
regarding the detectability of JSN progression in RA patients. The in-house software
equipped with PIPOC can automatically and quantitatively detect slight radiographic changes
of JSW in clinically inactive RA patients.
Second, this study revealed whether in-house software could detect subtle JSN
progression and predict the subsequent joint destruction with only short-term observation in
RA patients undergoing potent biological disease-modifying anti-rheumatic drugs
(DMARDs) treatment with TCZ. In the assessment by the software and the conventional
scoring method, JSN progression at 0-12 months was significantly greater in the JSN
progression group than in the non-progression group at 0-6 months. In addition, there was a
significant correlation in the software measurement between 0-6-month and 0-12-month JSN
progression in the left 2nd and 3rd MCP joints. The results suggest that the software can
detect subtle JSW changes at six months and predict JSN progression at 12 months.
In conclusion, the automated software used in this study, which can automatically
and quantitatively detect slight radiographic RA lesions, is expected to be a powerful tool for
the prevention and early detection of the disease and for making appropriate medication
decisions and inducing remission. ...
この論文で使われている画像
