ACR Meeting Abstracts

ACR Meeting Abstracts

  • Home
  • Meetings Archive
    • ACR Convergence 2021
    • ACR Convergence 2020
    • 2020 ACR/ARP PRSYM
    • 2019 ACR/ARP Annual Meeting
    • 2018 ACR/ARHP Annual Meeting
    • 2017 ACR/ARHP Annual Meeting
    • 2017 ACR/ARHP PRSYM
    • 2016-2009 Meetings
    • Download Abstracts
  • Keyword Index
  • Advanced Search
  • Your Favorites
    • Favorites
    • Login
    • View and print all favorites
    • Clear all your favorites
  • Meeting Resource Center

Abstract Number: 1018

Reliability of the Early Erosions in Rheumatoid Arthritis Software When Quantifying Bone Loss

Melissa XP. Koh1, Joshua WJ. Barbosa1, Ruben Tavares2, Stephen Tytus2, Patrick Emond3, Chris Gordon2, George Ioannidis4, Karen A. Beattie5, William G. Bensen6, Raja S. Bobba7, Alfred A. Cividino5, Lawrence E. Hart8, Maggie Larche7, Arthur N. Lau9 and Jonathan D. Adachi10, 1Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada, 2McMaster University, Hamilton, ON, Canada, 3Medical Physics, McMaster University, Hamilton, ON, Canada, 4St Josephs Hospital, McMaster University, Hamilton, ON, Canada, 5Medicine, McMaster University, Hamilton, ON, Canada, 6Department of Medicine, Division of Rheumatology, St. Joseph's Hospital and McMaster University, Hamilton, ON, Canada, 7Rheumatology, McMaster University, Hamilton, ON, Canada, 8Medicine (Rheumatology), St. Joseph's Health Care, Hamilton, ON, Canada, 9Rheumatology and Clinical Epidemiology, Division of Rheumatology, McMaster University, Hamilton, ON, Canada, 10St. Joseph's Health Care and McMaster University, Hamilton, ON, Canada

Meeting: 2012 ACR/ARHP Annual Meeting

Keywords: magnetic resonance imaging (MRI) and rheumatoid arthritis (RA)

  • Tweet
  • Email
  • Print
Session Information

Session Title: Imaging of Rheumatic Diseases: Magnetic Resonance Imaging, Computed Tomography and X-ray

Session Type: Abstract Submissions (ACR)

Background/Purpose: Instruments designed to determine the clinical relevance of bone erosions captured by magnetic resonance imaging (MRI) in rheumatoid arthritis (RA) patients have been set-back by inconsistency in both intra and inter-rater reliability. The developed Early Erosions in Rheumatoid Arthritis (EERA) software holds promise for increasing reliability across readers by quantifying RA patient erosions in a semi-automated fashion using an amalgamation of conventional Region Growing and Level-Set Segmentation algorithms. The principle aim of this study was to determine intra and inter-rater reliability when applying EERA software to the quantification of erosions in the metacarpal phalanges (MCPs) of RA patients.

Methods: Two readers, R1 and R2, trained to use EERA software, but otherwise inexperienced with conventional quantification techniques, evaluated erosions captured by MRI in the second through fifth MCPs of 50 patients diagnosed with RA under the American College of Rheumatology 1987 revised definition. A 1T magnet, 100mm diameter cylindrical transmit and receive coil, and a 3D spoiled gradient echo sequence were used in acquiring the images. Images were evaluated by each reader twice with a 72 hour wait period between runs. Intra and inter-rater reliabilities for the total volume measures between the two readers and two runs were assessed via intra-class correlations, ICC(2,1), with 95% confidence intervals. For each run, volume differences between readers were graphed against R2’s volume measures in Bland-Altman difference plots so as to visually capture the degree to which scores varied.

Results: Of the 50 participants recruited for the study, 16 were male and 34 were female. Study subjects had a mean age of 57 (SD=11.5)yr, a mean weight of 78 (SD=15.6)kg, and a mean height of 169 (SD=13.9)cm. Readers identified 64 ± 1 erosions in the patients: 15 of these occurred in second MCP, 33 ± 1 in the third MCP, 12 ± 1 in the fourth MCP, and 4 in the fifth MCP. Mean erosion size, as determined by R1 during the first and second runs, were 87.1 (SD=118.9)mm3 and 88.1 (SD=121.2)mm3 respectively. R2’s measures had a mean erosion volume of 90.7 (SD=130.1)mm3 for the first run and 103.2 (SD=151.0)mm3 for the second run. For both runs, agreement between readers was better for smaller sized erosions decreasing appreciably beyond 100mm3 (See Figure 1. Run 2 results are not shown but are available upon request). The intra-rater reliability had an ICC value of 0.956 with the 95% confidence interval ranging from 0.935 to 0.970. Between R1 and R2, the inter-rater reliability had an ICC value of 0.921 with a 95% confidence interval from 0.886 to 0.946.

Conclusion: Results obtained suggest that EERA software can be applied to acquire MCP erosion volume measures in a reliable manner.

Figure 1. Run 1 Reader Measured Erosion Volume Differences Plotted against R2’s Measures

 


Disclosure:

M. X. Koh,
None;

J. W. Barbosa,
None;

R. Tavares,
None;

S. Tytus,
None;

P. Emond,
None;

C. Gordon,
None;

G. Ioannidis,
None;

K. A. Beattie,
None;

W. G. Bensen,
None;

R. S. Bobba,
None;

A. A. Cividino,
None;

L. E. Hart,
None;

M. Larche,
None;

A. N. Lau,
None;

J. D. Adachi,

Abbott, Amgen, Bristol Myers Squibb, and Roche Pharmaceutcals,

2.

  • Tweet
  • Email
  • Print

« Back to 2012 ACR/ARHP Annual Meeting

ACR Meeting Abstracts - https://acrabstracts.org/abstract/reliability-of-the-early-erosions-in-rheumatoid-arthritis-software-when-quantifying-bone-loss/

Advanced Search

Your Favorites

You can save and print a list of your favorite abstracts during your browser session by clicking the “Favorite” button at the bottom of any abstract. View your favorites »

ACR Pediatric Rheumatology Symposium 2020

© COPYRIGHT 2022 AMERICAN COLLEGE OF RHEUMATOLOGY

Wiley

  • Home
  • Meetings Archive
  • Advanced Search
  • Meeting Resource Center
  • Online Journal
  • Privacy Policy
  • Permissions Policies