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ABSTRACT: Objective
To investigate whether digital activity fluorescence optical imaging (FOI) patterns of inflammation can identify distinct rheumatoid arthritis (RA) phenotypes.Methods
The hands of newly diagnosed patients with RA were evaluated by clinical examination, musculoskeletal ultrasound, and FOI. Inflammation on FOI was defined when capillary leakage and/or fluorophore perfusion was present. The FOI composite image was quantified into a digital disease activity (DACT) score, using novel computerized algorithms. Unsupervised clustering on FOI inflammatory patterns was used to identify subgroups of patients relative to anticyclic citrullinated peptides (ACPA) and/or rheumatoid factor (RF).Results
Of 1326 examined hand joints in 39 patients with RA (72% female; 56% e
SUBMITTER: Kisten Y
PROVIDER: S-EPMC10502810 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature