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Abstract Number: 2112

Combination of Magnetic Resonance Imaging (MRI)-Proven Osteitis with 2010 RA Classification Criteria Improves the Diagnostic Probability of Rheumatoid Arthritis (RA)

Mami Tamai1, Yoshikazu Nakashima1, Takahisa Suzuki1, Yoshiro Horai2, Akitomo Okada2, Junko Kita2, Shin-ya Kawashiri3, Naoki Iwamoto2, Kunihiro Ichinose4, Kazuhiko Arima2, Hideki Nakamura5, Tomoki Origuchi6, Masataka Uetani7, Kiyoshi Aoyagi8, Katsumi Eguchi9 and Atsushi Kawakami3, 1Unit of Translational Medicine, Department of Immunology and Rheumatology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan, 2Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan, 3Department of Immunology and Rheumatology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan, 4Department of Immunology and Rheumatology, Unit of Translational Medicine, Department of Immunology and Rheumatology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan, 5Department of Immunology and Rheumatology, Nagasaki University, Nagasaki, Japan, 6Department of Health Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan, 7Department of Radiology and Radiation Research, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan, 8Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan, 9Sasebo City General Hospital, Sasebo, Nagasaki, Japan

Meeting: 2012 ACR/ARHP Annual Meeting

Keywords: Bone marrow, Diagnostic criteria, magnetic resonance imaging (MRI) and rheumatoid arthritis (RA)

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Session Information

Title: Rheumatoid Arthritis - Clinical Aspects III: Infections/Risk Factors for Incident Rheumatoid Arthritis/Metrology/Classification/Biomarkers/Predictors of Rheumatolid Arthritis Activity & Severity

Session Type: Abstract Submissions (ACR)

Background/Purpose: In the articles of 2010 rheumatoid arthritis (RA) classification criteria, it is stated that additional evidence of joint injury from other imaging techniques such as magnetic resonance imaging (MRI) may be used for confirmation of the clinical findings. Considering the impact of MRI on the clinical assessment of inflammatory arthritides, it would be desirable to address the algorithm toward earlier classification of RA by the  MRI findings combining to 2010 RA classification criteria. We have tried to investigate whether MRI-proven joint injury assist the diagnostic performance of 2010 RA classification criteria toward early arthritis patients.

Methods: Two hundred patients with early arthritis patients, whose median duration of symptoms at entry is 3 months, were consecutively enrolled into this study. Patients, whose diagnoses were compatible as other rheumatic diseases than RA or obvious to plain radiographic erosion at entry, were excluded in the present study. All of the patients were examined by Japan College of Rheumatology (JCR)-certified rheumatologists and considered as RA potentially at entry. Patients gave their informed consent to be subjected to the protocol that was approved by the Institutional Review Board of Nagasaki University. All of the subjects had been examined by physical examination, blood tests, gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA)-enhanced MRI and plain radiograph of both wrist and finger joints at the same day. Gold standard RA in the present study was defined as the patients received disease-modifying antirheumatic drugs (DMARDs) therapy during the first year. Patients were evaluated by the 2010 RA classification criteria at the initial visit. Diagnostic performance of 2010 RA criteria combined with or without the finding of MRI-proven joint injury were investigated. One hundred fifteen were diagnosed as gold standard RA whereas 85 were not.

Results: 2010 RA classification criteria classified RA at sensitivity 59.8 %, specificity 80.7 %, positive predictive value (PPV) 81.4 %, respectively. Osteitis was the most specific MRI finding toward gold standard RA (sensitivity 45.3 %, specificity 90.4 %, PPV 86.9 %) as compared with symmetrical synovitis and bone erosion. We have proposed the decision tree algorithm of 2010 RA classification criteria combined with MRI-proven osteitis which demonstrate initially applied 2010 RA classification criteria, and if the patients do not fulfill 2010 RA classification criteria, MRI-proven osteitis rule is introduced. The tree algorithm has shown to differentiate the patients more efficiently compared with 2010 RA classification criteria alone as sensitivity 74.4 %, specificity 94.0 %, PPV 94.6 %, respectively.

Conclusion: The present data indicate that combination of MRI-proven osteitis with 2010 RA classification criteria improves the diagnostic probability of RA at earlier stage.


Disclosure:

M. Tamai,
None;

Y. Nakashima,
None;

T. Suzuki,
None;

Y. Horai,
None;

A. Okada,
None;

J. Kita,
None;

S. Y. Kawashiri,
None;

N. Iwamoto,
None;

K. Ichinose,
None;

K. Arima,
None;

H. Nakamura,
None;

T. Origuchi,
None;

M. Uetani,
None;

K. Aoyagi,
None;

K. Eguchi,
None;

A. Kawakami,
None.

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ACR Meeting Abstracts - https://acrabstracts.org/abstract/combination-of-magnetic-resonance-imaging-mri-proven-osteitis-with-2010-ra-classification-criteria-improves-the-diagnostic-probability-of-rheumatoid-arthritis-ra/

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All abstracts accepted to ACR Convergence are under media embargo once the ACR has notified presenters of their abstract’s acceptance. They may be presented at other meetings or published as manuscripts after this time but should not be discussed in non-scholarly venues or outlets. The following embargo policies are strictly enforced by the ACR.

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