PT  - JOURNAL ARTICLE
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
TI  - Assessing the Reliability of a Semiautomated Segmentation Algorithm for Quantifying Erosions in the Metacarpophalangeal Joints of Patients with Rheumatoid Arthritis
AID  - 10.3899/jrheum.141139
DP  - 2015 Sep 01
TA  - The Journal of Rheumatology
PG  - 1582--1586
VI  - 42
IP  - 9
4099  - http://www.jrheum.org/content/42/9/1582.short
4100  - http://www.jrheum.org/content/42/9/1582.full
SO  - J Rheumatol2015 Sep 01; 42
AB  - 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.