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

Michael A Tomizza; Matthew A Jessome; Joshua Barbosa; Karen A Beattie; William G Bensen; Raja S Bobba; Alfred A Cividino; Patrick D Emond; Chris Gordon; Lawrence Hart; George Ioannidis; Melissa X P Koh; Maggie Larché; Ruben Tavares; Stephen Tytus; Jonathan D Adachi

doi:10.3899/jrheum.141139

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

J Rheumatol. 2015 Sep;42(9):1582-6. doi: 10.3899/jrheum.141139. Epub 2015 Jul 15.

Authors

Michael A Tomizza¹, Matthew A Jessome¹, Joshua Barbosa¹, Karen A Beattie¹, William G Bensen¹, Raja S Bobba¹, Alfred A Cividino¹, Patrick D Emond¹, Chris Gordon¹, Lawrence Hart¹, George Ioannidis¹, Melissa X P Koh¹, Maggie Larché¹, Ruben Tavares¹, Stephen Tytus¹, Jonathan D Adachi²

Affiliations

¹ From the Department of Medical Sciences, Department of Medicine, and Faculty of Health Sciences, McMaster University; Department of Diagnostic Imaging, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.M.A. Tomizza, BSc, Department of Medical Sciences, McMaster University; M.A. Jessome, BHSc; J. Barbosa, BHSc, Faculty of Health Sciences, McMaster University; K.A. Beattie, PhD; W.G. Bensen, MD; R.S. Bobba, MD; A.A. Cividino, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; P.D. Emond, PhD; C. Gordon, PhD, St. Joseph's Healthcare Hamilton; L. Hart, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; G. Ioannidis, PhD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; M.X. Koh, BHSc, Faculty of Health Sciences, McMaster University; M. Larché, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; R. Tavares, PhD; S. Tytus, MD, St. Joseph's Healthcare Hamilton; J.D. Adachi, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton.
² From the Department of Medical Sciences, Department of Medicine, and Faculty of Health Sciences, McMaster University; Department of Diagnostic Imaging, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.M.A. Tomizza, BSc, Department of Medical Sciences, McMaster University; M.A. Jessome, BHSc; J. Barbosa, BHSc, Faculty of Health Sciences, McMaster University; K.A. Beattie, PhD; W.G. Bensen, MD; R.S. Bobba, MD; A.A. Cividino, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; P.D. Emond, PhD; C. Gordon, PhD, St. Joseph's Healthcare Hamilton; L. Hart, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; G. Ioannidis, PhD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; M.X. Koh, BHSc, Faculty of Health Sciences, McMaster University; M. Larché, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; R. Tavares, PhD; S. Tytus, MD, St. Joseph's Healthcare Hamilton; J.D. Adachi, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton. jd.adachi@sympatico.ca.

PMID: 26178277
DOI: 10.3899/jrheum.141139

Abstract

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.

Keywords: JOINT EROSIONS; MAGNETIC RESONANCE IMAGING; METACARPOPHALANGEAL JOINT; REPRODUCIBILITY OF RESULTS; RHEUMATOID ARTHRITIS.

MeSH terms

Aged
Algorithms
Arthritis, Rheumatoid / pathology*
Disease Progression
Female
Humans
Image Processing, Computer-Assisted / methods*
Magnetic Resonance Imaging / methods
Male
Metacarpophalangeal Joint / pathology*
Middle Aged
Reproducibility of Results
Severity of Illness Index