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Reliability and Validity of Single Axial Slice vs. Multiple Slice Quantitative Measurement of the Volume of Effusion-Synovitis on 3T Knee MRI in Knees with Osteoarthritis

  • Greg Gilles
  • , Arjun Vohra
  • , Dagoberto Robles
  • , Mihra S. Taljanovic
  • , Erin L. Ashbeck
  • , Chelsea Caruso
  • , Jeffrey Duryea
  • , Edward J. Bedrick
  • , Ali Guermazi
  • , C. Kent Kwoh

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number2691
JournalJournal of Clinical Medicine
Volume12
Issue number7
DOIs
StatePublished - Apr 2023

Keywords

  • MRI
  • biomarkers
  • effusion
  • inflammation
  • knee
  • osteoarthritis
  • quantitative imaging
  • semi-automated
  • synovitis

ASJC Scopus subject areas

  • General Medicine

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