Abstract
Objective
To compare sacroiliac joint (SIJ) lesions on MRI in women with versus without axial spondyloarthritis (ax-SpA) and establish an algorithm to determine whether such lesions are due to ax-SpA.
Methods
This retrospective comparative study assessed bone marrow edema (BME), sclerosis, erosions, osteophytes, and ankylosis at the SIJ in two groups of women, one with and another without ax-SpA. Sensitivity and specificity were calculated for combinations/characteristics of lesions, using rheumatologists’ assessment with assessment of spondyloarthritis international society (ASAS) criteria as the gold standard for diagnosis of ax-SpA.
Results
Compared to women without ax-SpA, women with ax-SpA had more BME (61% vs 17%, p < 0.001), sclerosis (40% vs 22%, p < 0.001), erosions (35% vs 5%, p < 0.001), and ankylosis (2% vs 0%, p = 0.007), but less osteophytes (5% vs 33%, p < 0.001). The ASAS MRI criteria yielded 59% sensitivity and 88% specificity, while a new algorithm achieved 56% sensitivity and 95% specificity using the following criteria: no osteophytes at the SIJ and either (i) BME at the SIJ with at least one dimension ≥ 8 mm or (ii) at least one erosion at the SIJ.
Conclusions
We recommend the following pragmatic algorithm for MRI diagnosis of ax-SpA in women: no osteophytes at the SIJ and either (i) BME at the SIJ with at least one dimension ≥ 8 mm or (ii) at least one erosion at the SIJ. The false positive rate when using the new algorithm (3.3%) is less than half than when using the ASAS MRI criteria (7.7%); thus, its application in clinical practice could reduce overdiagnosis and prevent overtreatment of ax-SpA.
Clinical relevance statement
The developed algorithm has a false-positive rate that is less than half than when using the ASAS MRI criteria (3.3% vs 7.7%), thus its application in clinical practice could reduce overdiagnosis and prevent overtreatment of axial spondyloarthritis.
Key Points
• Compared to women without axial spondyloarthritis (ax-SpA), women with ax-SpA had a significantly higher prevalence of bone marrow edema (BME), sclerosis, erosions, and ankylosis, but a significantly lower prevalence of osteophytes.
• A new algorithm for positive ax-SpA based on sacroiliac joint MRI was developed: no osteophytes at the sacroiliac joint (SIJ) and either (i) BME at the SIJ with at least one dimension ≥ 8 mm or (ii) at least one erosion at the SIJ.
• We recommend this new algorithm for diagnosis of ax-SpA in women, as it has a significantly better specificity than the assessment of spondyloarthritis international society (ASAS) MRI criteria and less than half the false positive rate; thus, its application in clinical practice could reduce overdiagnosis and prevent overtreatment of ax-SpA.
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Abbreviations
- ASAS:
-
Assessment of spondyloarthritis international society
- AUC:
-
Area under the curve
- ax-SpA:
-
Axial spondyloarthritis
- BME:
-
Bone marrow edema
- ICC:
-
Intraclass correlation coefficient
- MRI:
-
Magnetic resonance imaging
- NPV:
-
Negative predictive value
- PACS:
-
Picture archiving communication system
- PPV:
-
Positive predictive value
- SIJ:
-
Sacroiliac joint
- STIR:
-
Short Tau Inversion Recovery
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Acknowledgements
The authors are grateful to Celine Engrand for her assistance with data collection.
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This study has received funding by Montpellier University Hospital, for statistical analysis and manuscript writing.
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The scientific guarantor of this publication is Catherine Cyteval.
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Statistics and biometry
One of the authors has significant statistical expertise.
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Written informed consent was obtained from all subjects (patients) in this study.
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Institutional Review Board approval was obtained.
Study subjects or cohorts overlap
Some study subjects or cohorts have been previously reported in Hoballah et al, 2020 (http://dx.doi.org/10.1136/ annrheumdis-2020-217208).
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• Retrospective
• Case–control study
• Multicentre study
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Pastor, M., Lukas, C., Ramos-Pascual, S. et al. Sacroiliac joint MRI for diagnosis of ax-SpA: algorithm to improve the specificity of the current ASAS MRI criteria. Eur Radiol 33, 8645–8655 (2023). https://doi.org/10.1007/s00330-023-09969-3
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DOI: https://doi.org/10.1007/s00330-023-09969-3