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Chinese Journal of Joint Surgery(Electronic Edition) ›› 2026, Vol. 20 ›› Issue (03): 314-321. doi: 10.3877/cma.j.issn.1674-134X.2026.03.008

• CLINICAL RESEARCH • Previous Articles    

Differences and differentiation in musculoskeletal ultrasound signs between gouty arthritis and rheumatoid arthritis

Mingjing Xu, Bao Liu(), Guoqiang Sun, Jing Zhou, Mengyu Nian   

  1. Xuzhou First People’s Hospital, Xuzhou 221000, China
  • Received:2025-07-04 Online:2026-06-01 Published:2026-07-30
  • Contact: Bao Liu

Abstract:

Objective

To construct a differential diagnosis model for musculoskeletal ultrasound (MSUS)signs in patients with gouty arthritis (GA) and rheumatoid arthritis (RA).

Methods

A total of 180 patients from the Department of Rheumatology and Immunology of Xuzhou First People’s Hospital between January 2020 and May 2025 were selected. Inclusion criteria: age between 18 and 75 years old; present with typical symptoms of arthritis such as joint pain and swelling; Patients can cooperate to complete musculoskeletal ultrasound examination. Exclusion criteria: complicated with other types of arthritis, such as infectious arthritis, reactive arthritis, etc.; severe functional disorders of important organs like heart, liver, and kidney; pregnant or lactating women. Based on diagnostic results, they were divided into the GA group (n=92) and the RA group (n=88). High-frequency musculoskeletal ultrasound was used to detect synovial thickness, blood flow signals, bone erosion, the double-contour sign, and tophi. Differences in ultrasound findings between the two groups were compared by independent t test. Multivariate logistic regression and receiver operating characteristic (ROC) curve analysis were employed to evaluate the differential diagnostic performance of the ultrasound signs.

Results

There were statistically significant differences between the two groups in terms of age (t=2.916), gender (χ2=17.370), body mass index (BMI) ( t=5.427), knee joint (χ2=4.447), toe joint involvement rate (χ2=13.310), wrist joint (χ2=11.117), shoulder joint involvement rate (χ2=5.692), double-track sign (χ2=59.732), punctate hyperechoic area (χ2=34.567), positive rate of gout stones (χ2=46.075), bone erosion depth (t=6.640), synovial hyperplasia (t=8.586), joint cavity effusion (t=9.164), blood flow signal over level two (χ2=17.759), and cartilage destruction (χ2=10.940) ( all P<0.05). Multivariate logistic regression analysis revealed that bone erosion [odds ratio (OR)=7.655, β=2.035], joint cavity effusion (OR=6.323, β=1.844), blood flow signal (OR=4.791, β=1.567), gender (OR=7.202, β=1.974), and BMI (OR=0.684, β=-0.38) (all P<0.05) were independent influencing factors for GA and RA. Additionally, ROC results demonstrated that the combined model of double-track sign, punctate hyperechoic, and tophus in GA differentiation had an area under the curve (AUC) of 0.921, with sensitivity of 82.4% and specificity of 94.3%. For RA differentiation, the combined model of bone erosion and joint cavity effusion had an AUC of 0.882, with sensitivity of 78.4% and specificity of 87.0%. The combined diagnostic models exhibited good diagnostic efficacy.

Conclusion

Musculoskeletal ultrasound signs are valuable in the differentiation between GA and RA, and the combination of characteristic signs such as double-track sign and gout stone can improve the diagnostic efficacy of GA, while bone erosion and joint cavity effusion are significant in the differentiation of RA.

Key words: Gouty arthritis, Rheumatoid arthritis, Ultrasonography, Diagnosis, differential

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