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Data-driven definitions for active and structural MRI lesions in the sacroiliac joint in spondyloarthritis and their predictive utility

  • Walter P. Maksymowych*
  • , Robert G. Lambert
  • , Xenofon Baraliakos
  • , Ulrich Weber
  • , Pedro M. MacHado
  • , Susanne J. Pedersen
  • , Manouk de Hooge
  • , Joachim Sieper
  • , Stephanie Wichuk
  • , Denis Poddubnyy
  • , Martin Rudwaleit
  • , D. sirée van der Heijde
  • , Robert Landewe
  • , Iris Eshed
  • , Mikkel Ostergaard
  • *Corresponding author for this work
  • Department of Medicine and Clinical Islet Transplant Program, University of Alberta, Edmonton, AB, Canada
  • CaRE Arthritis
  • University of Alberta
  • Medical Imaging Consultants
  • Rheumazentrum Ruhrgebiet, Herne, Germany
  • University Hospital of Southern Denmark
  • University of Southern Denmark
  • Department of Rheumatology, London, United Kingdom
  • University College London
  • University of Copenhagen
  • Ghent University
  • Charité – Universitätsmedizin Berlin
  • Städtischen Kliniken Bielefeld gem. GmbH
  • Leiden University Medical Center
  • St. Franciscus Hospital
  • Sheba Medical Center, Department of Gastroenterology, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Objectives: To determine quantitative SI joint MRI lesion cut-offs that optimally define a positive MRI for inflammatory and structural lesions typical of axial SpA (axSpA) and that predict clinical diagnosis. Methods: The Assessment of SpondyloArthritis international Society (ASAS) MRI group assessed MRIs from the ASAS Classification Cohort in two reading exercises where (A) 169 cases and 7 central readers; (B) 107 cases and 8 central readers. We calculated sensitivity/specificity for the number of SI joint quadrants or slices with bone marrow oedema (BME), erosion, fat lesion, where a majority of central readers had high confidence there was a definite active or structural lesion. Cut-offs with ≥95% specificity were analysed for their predictive utility for follow-up rheumatologist diagnosis of axSpA by calculating positive/negative predictive values (PPVs/NPVs) and selecting cut-offs with PPV ≥ 95%. Results: Active or structural lesions typical of axSpA on MRI had PPVs ≥ 95% for clinical diagnosis of axSpA. Cut-offs that best reflected a definite active lesion typical of axSpA were either ≥4 SI joint quadrants with BME at any location or at the same location in ≥3 consecutive slices. For definite structural lesion, the optimal cut-offs were any one of ≥3 SI joint quadrants with erosion or ≥5 with fat lesions, erosion at the same location for ≥2 consecutive slices, fat lesions at the same location for ≥3 consecutive slices, or presence of a deep (i.e. >1 cm depth) fat lesion. Conclusion: We propose cut-offs for definite active and structural lesions typical of axSpA that have high PPVs for a long-term clinical diagnosis of axSpA for application in disease classification and clinical research.
Original languageEnglish
Pages (from-to)4778-4789
Number of pages12
JournalRheumatology (United Kingdom)
Volume60
Issue number10
DOIs
Publication statusPublished - 1 Oct 2021

Keywords

  • Definitions
  • Magnetic resonance imaging
  • Predictive validity
  • Sacroiliac joint
  • Spondyloarthritis

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