Back to Search Start Over

Prediction of radiographic progression during a treat-to-target strategy by the sequential application of MRI-proven bone marrow edema and power-Doppler grade ≥2 articular synovitis in rheumatoid arthritis: retrospective observational study

Authors :
Ayuko Takatani
Mami Tamai
Nozomi Ohki
Momoko Okamoto
Yushiro Endo
Sousuke Tsuji
Toshimasa Shimizu
Masataka Umeda
Shoichi Fukui
Remi Sumiyoshi
Ayako Nishino
Tomohiro Koga
Shin-ya Kawashiri
Naoki Iwamoto
Takashi Igawa
Kunihiro Ichinose
Kazuhiko Arima
Hideki Nakamura
Tomoki Origuchi
Masataka Uetani
Atsushi Kawakami
Publication Year :
2020
Publisher :
Research Square Platform LLC, 2020.

Abstract

Objectives To investigate the appropriate timing, useful findings and combination of magnetic resonance imaging (MRI) and ultrasound (US) for predicting the radiographic progression in early rheumatoid arthritis (RA). Methods Forty-four active RA patients, who examined by both of MRI and US in the symptomatic wrist and finger joints, were recruited in Nagasaki University Hospital from 2010 to 2017 and treated by the treat-to-target therapeutic strategy for 1 year. MRI was evaluated by RA MRI scoring and US by Outcomes Measures in Rheumatology Clinical Trial, respectively. Plain radiographs were assessed by the Genant-modified Sharp score for the symptomatic side in the same manner as MRI and US. Radiographic progression was defined as an annual increase ≥0.75 at 1 year. Factors associated with radiographic progression were analysed. Also, the optimal combination of MRI and US at each timepoint was considered. Results Logistic regression model revealed that MRI-proven bone marrow oedema at baseline and 6 months and joint counts of power-Doppler grade ≥2 articular synovitis at 3 or 6 months were significantly associated with radiographic progression at 1 year. Conclusion This study may suggest the favourable timing and combination of MRI and US at each point to predict radiographic progression in patients with early-stage RA.

Subjects

Subjects :
Rheumatology

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....5703baa3f7e974d7b213005ae4bc6e4d