ReviewFrontiers in medicine2021
Axial Spondyloarthritis: Mimics and Pitfalls of Imaging Assessment.
Review in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Diagnostic features of osteitis condensans ilii by MRI-a systematic literature review.Skeletal radiology · 2025Pooled it
- Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets.Rheumatology (Oxford, England) · 2025Trial
- Lumbar spinal stenosis in axial spondyloarthritis and chronic low back pain: a cross-sectional magnetic resonance imaging study with clinical dimensions.Clinical rheumatology · 2026Article
- Clinical Utility of Repeat Sacroiliac Joint MRI in Patients Evaluated for Axial Spondyloarthritis: A Real-World Cohort Study.Journal of clinical medicine · 2026Article
- Assessment of Anatomical Variations in the Sacroiliac Joint Using Magnetic Resonance Imaging: A Retrospective Study of 840 Patients.Diagnostics (Basel, Switzerland) · 2026Article
- Learning from multiple readings for axial spondyloarthritis classification of the sacroiliac joints.Scientific reports · 2026Article
- Article
- Anterior-posterior topographic patterns of thoracic joint structural abnormalities on chest CT in psoriatic arthritis.Frontiers in medicine · 2026Article
- Non-Infectious Spinal Diseases Mimicking Infection: A Pictorial Essay.Journal of the Korean Society of Radiology · 2025Review
- Enhanced diagnosis of axial spondyloarthritis using machine learning with sacroiliac joint MRI: a multicenter study.Insights into imaging · 2025Article
- Paraneoplastic sacroiliitis.BMJ case reports · 2023Article
- MRI Findings in Axial Psoriatic Spondylarthritis.Diagnostics (Basel, Switzerland) · 2023Review
- The value of magnetic resonance imaging and computed tomography in the study of spinal disorders.Quantitative imaging in medicine and surgery · 2022Review
- Future of Low-Dose Computed Tomography and Dual-Energy Computed Tomography in Axial Spondyloarthritis.Current rheumatology reports · 2022Review
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder that predominantly involves the axial skeleton. Imaging findings of axSpA can be divided into active changes, which include bone marrow edema, synovitis, enthesitis, capsulitis, and intra-articular effusion, and structural changes, which include erosions, sclerosis, bone fatty infiltration, fat deposition in an erosion cavity, and bone bridging or ankylosis. The ability to distinguish between imaging lesions suggestive of axSpA and artifacts or lesions suggestive of other disorders is critical for the accurate diagnosis of axSpA. Diagnosis may be challenging, particularly in early-stage disease and magnetic resonance imaging (MRI) plays a key role in the detection of subtle or inflammatory changes. MRI also allows the detection of structural changes in the subchondral bone marrow that are not visible on conventional radiography and is of prognostic and monitoring value. However, bone structural changes are more accurately depicted using computed tomography. Conventional radiography, on the other hand, has limitations, but it is easily accessible and may provide insight on gross changes as well as rule out other pathological features of the axial skeleton. This review outlines the imaging evaluation of axSpA with a focus on imaging mimics and potential pitfalls when assessing the axial skeleton.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.