Authors

Greg Gilles, University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
Arjun Vohra, University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
Dagoberto Robles, University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
Mihra S. Taljanovic, University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA; Departments of Medical Imaging and Orthopaedic Surgery, University of Arizona, Tucson, AZ 85719, USA; Department of Radiology, University of New Mexico Health Sciences, Albuquerque, NM 87131, USA
Erin L. Ashbeck, University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA
Chelsea Caruso, University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA; Tualatin Imaging P.C., Tualatin, OR 97062, USA
Jeffrey Duryea, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
Edward J. Bedrick, Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ 85724, USA
Ali Guermazi, VA Boston Healthcare System, West Roxbury, Boston, MA 02132, USA; Department of Radiology, Boston University School of Medicine, Boston, MA 02118, USA
C Kent Kwoh, University of Arizona Arthritis Center, University of Arizona College of Medicine, Tucson, AZ 85724, USA

Document Type

Article

Publication Date

4-4-2023

Abstract

Effusion-synovitis (ES) is recognized as a component of osteoarthritis, creating a need for rapid methods to assess ES on MRI. We describe the development and reliability of an efficient single-slice semi-automated quantitative approach to measure ES. We used two samples from the Osteoarthritis Initiative (OAI): 50 randomly selected OAI participants with radiographic osteoarthritis (i.e., Kellgren-Lawrence (KL) grade 2 or 3) and a subset from the Foundation for the National Institutes of Health Osteoarthritis Biomarker study. An experienced musculoskeletal radiologist trained four non-expert readers to use custom semi-automated software to measure ES on a single axial slice and then read scans blinded to prior assessments. The estimated intraclass correlation coefficient (ICC) for intra-reader reliability of the single-slice ES method in the KL 2-3 sample was 0.96 (95% CI: 0.93, 0.97), and for inter-reader reliability, the ICC was 0.90 (95% CI: 0.87, 0.95). The intra-reader mean absolute difference (MAD) was 35 mm3 (95% CI: 28, 44), and the inter-reader MAD was 61 mm3 (95% CI: 48, 76). Our single-slice quantitative knee ES measurement offers a reliable, valid, and efficient surrogate for multi-slice quantitative and semi-quantitative assessment.

Publication Title

J Clin Med

ISSN

2077-0383

Volume

12

Issue

7

DOI

10.3390/jcm12072691

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