Volume 42 Issue 7
Jul.  2021
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Li-xiang REN, You-deng PU, Jia-qi WANG, Ya-jun WANG, Hui-mei YUAN, Yi-chen HUANG, Qing LI, San-li YI. Synovial Volume Quantitative Analysis of MRI and Serological Comparison in the Evaluation of Juvenile Idiopathic Arthritis[J]. Journal of Kunming Medical University, 2021, 42(7): 64-69. doi: 10.12259/j.issn.2095-610X.S20210710
Citation: Li-xiang REN, You-deng PU, Jia-qi WANG, Ya-jun WANG, Hui-mei YUAN, Yi-chen HUANG, Qing LI, San-li YI. Synovial Volume Quantitative Analysis of MRI and Serological Comparison in the Evaluation of Juvenile Idiopathic Arthritis[J]. Journal of Kunming Medical University, 2021, 42(7): 64-69. doi: 10.12259/j.issn.2095-610X.S20210710

Synovial Volume Quantitative Analysis of MRI and Serological Comparison in the Evaluation of Juvenile Idiopathic Arthritis

doi: 10.12259/j.issn.2095-610X.S20210710
  • Received Date: 2021-05-18
    Available Online: 2021-07-19
  • Publish Date: 2021-07-21
  •   Objective  To establish volume quantitative analysis and explore the value of MRI with synovial quantitative analysis for treatment evaluation of juvenile idiopathic arthritis (JIA).  Methods  Quantitative analysis model pretest and clinical prospective study were conducted. A total of 30 patients with JIA whom were treated regularly for 1 year were studied. The same joint was scanned before and after treatment for each patient and the corresponding for treatment synovial volume were measured by a self- designed software (The MRI software for synovial volume quantitative analysis, Kunming University of Science and Technology), as well as Erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) of studied patients were simultaneously measured.  Results  The volume quantitative analysis model has satisfactory results and accurate measurement. The synovial volume, ESR and CRP decreased significantly after treatment (P < 0.05). Synovial volume change is significantly correlated to those of ESR (r = 0.655) and CRP (r = 0.752).  Conclusion  Synovial volume quantitative analysis is an accurate measure for disease severity assessment and treatment effect evaluation.
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