Assessing the Reliability of a Semiautomated Segmentation Algorithm for Quantifying Erosions in the Metacarpophalangeal Joints of Patients with Rheumatoid Arthritis

作者:Tomizza Michael A; Jessome Matthew A; Barbosa Joshua; Beattie Karen A; Bensen William G; Bobba Raja S; Cividino Alfred A; Emond Patrick D; Gordon Chris; Hart Lawrence; Ioannidis George; Koh Melissa X P; Larche Maggie; Tavares Ruben; Tytus Stephen; Adachi Jonathan D*
来源:Journal of Rheumatology, 2015, 42(9): 1582-1586.
DOI:10.3899/jrheum.141139

摘要

Objective. Assess the reliability of early erosions in rheumatoid arthritis (EERA) software for quantifying erosive damage to the metacarpophalangeal joints of patients with rheumatoid arthritis (RA). Methods. One hundred magnetic resonance image sets from 68 patients with early referral RA were evaluated. Reliability was assessed using 95% limits of agreement and intraclass correlation coefficient (ICC) with 95% CI. Results. Limits of agreement linearly depended on erosion volume: 0.44x between readers and 0.19x within readers. Interrater ICC was 0.976 (95% CI 0.965-0.984) and intrarater ICC was 0.996 (95% CI 0.994-0.997). Conclusion. EERA is highly reproducible for quantifying erosions in patients with early RA.

  • 出版日期2015-9

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