TY - JOUR T1 - Assessing the Reliability of a Semiautomated Segmentation Algorithm for Quantifying Erosions in the Metacarpophalangeal Joints of Patients with Rheumatoid Arthritis JF - The Journal of Rheumatology JO - J Rheumatol SP - 1582 LP - 1586 DO - 10.3899/jrheum.141139 VL - 42 IS - 9 AU - Michael A. Tomizza AU - Matthew A. Jessome AU - Joshua Barbosa AU - Karen A. Beattie AU - William G. Bensen AU - Raja S. Bobba AU - Alfred A. Cividino AU - Patrick D. Emond AU - Chris Gordon AU - Lawrence Hart AU - George Ioannidis AU - Melissa X.P. Koh AU - Maggie Larché AU - Ruben Tavares AU - Stephen Tytus AU - Jonathan D. Adachi Y1 - 2015/09/01 UR - http://www.jrheum.org/content/42/9/1582.abstract N2 - 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: 0.44× between readers and 0.19× 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. ER -