Defining and validating a high specificity MRI cut-off for the radiographic part of the modified New York criteria in patients with axial spondyloarthritis
BACKGROUND: According to the modified New York criteria (mNYc), moderate-severe sacroiliac joint (SIJ) structural damage on radiography is necessary for classifying radiographic axial spondyloarthritis (r-axSpA). In contrast to radiography, MRI provides no ionizing radiation, higher sensitivity for structural damage, better inter-reader reliability, and is gradually replacing radiography. Therefore, we aimed to develop and validate a high specificity MRI cut-off to the radiographic component of the mNYc (rad-mNYc), defined as MRI findings that correspond to an mNY-positive radiograph. METHODS: based on erosion, backfill and ankylosis in 5/all slices) and ROC curves were calculated. Internal validation by bootstrapping was performed. RESULTS: predicting rad-mNYc (specificity 0.95, sensitivity 0.39, area-under-curve 0.83, accuracy with mNYc 69.2%. Internal validation showed moderate accuracy and high positive predictive value. Cut-offs for sclerosis, erosion, backfill and ankylosis were ≥ 9, ≥12, ≥ 5, and ≥ 1, respectively, with sensitivities all ≤ 0.21 except ankylosis 0.34 and accuracy ~ 60%, except ankylosis 67%. Cut-offs using all MRI-slices performed slightly worse or similarly. CONCLUSIONS: ) was the optimal high specificity MRI cut-off to rad-mNYc positivity, being potentially usable in both research and clinical settings, with different thresholds depending on whether sensitivity or specificity is prioritized.
Authors
- Simon Krabbe (ORCID: https://orcid.org/0000-0002-2877-1582)
- Stylianos Georgiadis (ORCID: https://orcid.org/0000-0003-3485-9457)
- Torsten Diekhoff (ORCID: https://orcid.org/0000-0003-3593-1449)
- Adrian Ciurea (ORCID: https://orcid.org/0000-0002-7870-7132)
- Jakub Závada (ORCID: https://orcid.org/0000-0002-9802-6545)
- Manouk de Hooge (ORCID: https://orcid.org/0000-0002-0652-9808)
- Susanne Juhl Pedersen (ORCID: https://orcid.org/0000-0002-6500-9263)
- Raphael Micheroli (ORCID: https://orcid.org/0000-0002-8918-7304)
- Iwona Sudoł‐Szopińska (ORCID: https://orcid.org/0000-0003-2671-3036)
- Lykke Midtbøll Ørnbjerg (ORCID: https://orcid.org/0000-0002-7832-6831)
- Nora Vladimirova (ORCID: https://orcid.org/0000-0001-7819-7286)
- Karlo Pintarić
- Monika Gregová (ORCID: https://orcid.org/0000-0002-8022-0307)
- Björn Guðbjörnsson (ORCID: https://orcid.org/0000-0003-4631-6505)
- Merete Lund Hetland (ORCID: https://orcid.org/0000-0003-4229-6818)
- Kristýna Bubová (ORCID: https://orcid.org/0000-0002-4903-1022)
- Žiga Snoj (ORCID: https://orcid.org/0000-0001-6864-8880)
- Marie Wetterslev (ORCID: https://orcid.org/0000-0002-2095-9441)
- A. E. F. Hadsbjerg (ORCID: https://orcid.org/0000-0001-8196-4327)
- Žiga Rotar (ORCID: https://orcid.org/0000-0002-9323-9189)
- Alexander Bernatschek
- Maurice Donzallaz
- Iris Eshed
- Karel Gorican (ORCID: https://orcid.org/0000-0002-4406-8344)
- Robert GW Lambert
- Kasper Gosvig
- Stephanie Wichuk
- Jakob M Møller
- Burkhard Möller
- Michael J. Nissen
- Mikkel Østergaard
Institutions
- Reykjavík University (IS)
- University of Copenhagen (DK)
- University of Ljubljana (SI)
- University of Alberta (CA)
- University of Iceland (IS)
- Charles University (CZ)
- Sheba Medical Center (IL)
- University Hospital of Bern (CH)
- Ghent University Hospital (BE)
- Ljubljana University Medical Centre (SI)
- Herlev Hospital (DK)
- Glostrup Hospital (DK)
- Gentofte Hospital (DK)
- Institute of Oncology Ljubljana (SI)
- Institute of Rheumatology (CZ)
- University Hospital of Zurich (CH)
- University Hospital of Geneva (CH)
- National University Hospital of Iceland (IS)
- National Institute of Geriatrics, Rheumatology and Rehabilitation (PL)
- LungenClinic Grosshansdorf (DE)
- Université de Montréal (CA)
Publication Details
- Journal
- Arthritis Research & Therapy
- Published
- 2026-07-17
- DOI
- https://doi.org/10.1186/s13075-026-03865-z
- Primary Topic
- Spondyloarthritis Studies and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Københavns Universitet