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DOI 10.1177/20584601221112616

Медицинская библиотека · Acta radiologica open · 2022

Comparison of the axillary lymph node between rheumatoid arthritis and psoriatic arthritis with computed tomography.

Fukuda Takeshi, Kayama Reina, Ogiwara Sho, Yonenaga Takenori, Ojiri Hiroya

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Аннотация

BACKGROUNDS: There is a lack of universally available biomarker to differentiate rheumatoid arthritis (RA) and psoriatic arthritis (PsA).

PURPOSE: to see if the size of the axillary lymphnodes (ALNs) and the frequency of lymphadenopathy are useful biomarker to differentiate RA and PsA.

MATERIAL AND

METHODS

Forty RA and 19 PsA patients without previous biologics usage were retrospectively included. Chest CT was assessed for the presence of lymphadenopathy and the size of the largest ALN. Frequency of lymphadenopathies was statistically compared between RA and PsA. The short axis and the long axis of the largest ALN were also compared and receiver operating characteristic (ROC) curve analysis was performed.

RESULTS

Frequency of axillary lymphadenopathy was significantly higher in RA than in PsA (80% vs 31.6%, p < .001). Number of lymphadenopathies in each patient was also significantly higher in RA than in PsA (3.0 vs 1.2 per patient, p = .005). Sensitivity and specificity for differentiating RA from PsA by the presence of at least one axillary lymphadenopathy were 0.8 and 0.68, respectively.The short axis of the largest ALNs in RA was significantly longer than in PsA (6.5 ± 1.6 mm vs 4.7 ± 1.7 mm, p < .001). ROC curve analysis of the short axis showed AUC of 0.75 (p = .002) and the cutoff value of 5.1 mm with a sensitivity of 0.83 and specificity of 0.74, when differentiating RA and PsA.

CONCLUSION

Presence of ALN lymphadenopathy and the short axis of the largest ALN may have a potential utility in differentiating RA and PsA.

Для цитирования: Fukuda Takeshi, Kayama Reina, Ogiwara Sho, Yonenaga Takenori, Ojiri Hiroya. Comparison of the axillary lymph node between rheumatoid arthritis and psoriatic arthritis with computed tomography.. Acta radiologica open. 2022. DOI: 10.1177/20584601221112616.
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