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

Authors :
Taichi Okino
Yafei Ou
Masayuki Ikebe
Kenichi Tamura
Kenneth Sutherland
Jun Fukae
Kazuhide Tanimura
Tamotsu Kamishima
Source :
Japanese Journal of Radiology. 41:510-520
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

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.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).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).Our in-house software equipped with PIPOC can automatically and quantitatively detect slight radiographic changes of JSW in clinically inactive RA patients.

Details

ISSN :
1867108X and 18671071
Volume :
41
Database :
OpenAIRE
Journal :
Japanese Journal of Radiology
Accession number :
edsair.doi.dedup.....ed489902a7e906b40bbe06de98542ba8
Full Text :
https://doi.org/10.1007/s11604-022-01373-z