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Updated: Feb 15, 2026

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Predict rheumatoid arthritis conversion from undifferentiated arthritis with dynamic contrast-enhanced MRI and
Xinwei Lei1, Huixia Li2, Ying Zhan2
1Department of Radiology, Tianjin First Center Hospital, Tianjin, China. leixinwei66@163.com.
Objectives:
To investigate the clinical value of dynamic contrast-enhanced MRI (DCE-MRI) and laboratory indexes in predicting conversion from undifferentiated arthritis (UA) to rheumatoid arthritis (RA).
Methods:
A total 81 DMARD-naive UA patients were studied. 37 cases were ultimately diagnosed as RA, 32 cases were diagnosed as other types of arthritis, and the remaining cases were still UA during the 1-year follow-up. The DCE-MRI and laboratory measures were fed into a logistic regression analysis.
Results:
Wash-in rate and anti-cyclic citrullinated peptide (anti-CCP) antibody served as the final variables into the regression equation (p<0.05). The area under the ROC curve of wash-in rate was 0.966. With optimal cut-off point 29.84 s-1, wash-in rate achieved a sensitivity of 94.6% and specificity of 88.6% for predicting RA conversion from UA; anti-CCP antibody positive achieved a sensitivity of 37.8% and specificity of 90.9%. The combination of wash-in rate and anti-CCP antibody positive improved specificity (100%) but not sensitivity (27.3%).
Conclusions:
The conversion from UA to RA is highly predictable. The wash-in rate of DCE-MRI can be used as an important biomarker to predict UA progression.
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