ArticleRMD open2024
Diagnostic accuracy in axial spondyloarthritis: a systematic evaluation of the role of clinical information in the interpretation of sacroiliac joint imaging.
Article in RMD open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical information on imaging referrals for suspected or known axial spondyloarthritis: recommendations from the Assessment of Spondyloarthritis International Society (ASAS).Annals of the rheumatic diseases · 2024Guideline
- Review
- MRI-defined sacroiliitis and spinal inflammation in chronic back pain: real-world patterns in axial spondyloarthritis and axial psoriatic arthritis.Rheumatology advances in practice · 2026Article
- Spondyloarthritis in Latin America: a difficult-to-diagnose challenge.Therapeutic advances in musculoskeletal disease · 2026Review
- Better communication between rheumatologists and radiologists is key to improving MRI requesting and reporting data in axial spondyloarthritis: audit data from a single specialist centre.Rheumatology advances in practice · 2026Article
- Clinical Impact of Multiparametric Contrast-Enhanced Dual-Energy Computed Tomography in Arthritis Imaging: A Prospective Single-Center Study.Arthritis & rheumatology (Hoboken, N.J.) · 2025Article
- Impact of combining magnetic resonance images and radiographs on radiographic grading of sacroiliitis and classification in axial spondyloarthritis: a reliability study.Rheumatology international · 2025Article
- Information Extraction from Lumbar Spine MRI Radiology Reports Using GPT4: Accuracy and Benchmarking Against Research-Grade Comprehensive Scoring.Diagnostics (Basel, Switzerland) · 2025Article
- Differentiation of Early Sacroiliitis Using Machine-Learning- Supported Texture Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Artificial intelligence improves the diagnosis of human leukocyte antigen (HLA)-B27-negative axial spondyloarthritis based on multi-sequence magnetic resonance imaging and clinical features.Quantitative imaging in medicine and surgery · 2024Article
- Progressive improvement in time to diagnosis in axial spondyloarthritis through an integrated referral and education system.Rheumatology advances in practice · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesRadiography and MRI of the sacroiliac joints (SIJ) are relevant for the diagnosis and classification of patients with axial spondyloarthritis (axSpA). This study aimed to evaluate the impact of clinical information (CI) on the accuracy of imaging interpretation.
methodsOut of 109 patients referred because of suspicion of axSpA with complete imaging sets (radiographs and MRI of SIJ), 61 were diagnosed with axSpA (56%). Images were independently evaluated by three radiologists in four consecutive reading campaigns: radiographs and radiographs+MRI without and with CI including demographic data, SpA features, physical activity and pregnancy. Radiographs were scored according to the modified New York criteria, and MRIs for inflammatory and structural changes compatible with axSpA (yes/no). The clinical diagnosis was taken as reference standard. The compatibility of imaging findings with a diagnosis of axSpA (precision) before and after the provision of CI and radiologists' confidence with their findings (0-10) were evaluated.
resultsThe precision of radiographs evaluation without versus with CI increased from 70% to 78% (p=0.008), and for radiographs+MRI from 81% to 82% (p=1.0), respectively. For CR alone, the sensitivity and specificity of radiologic findings were 51% and 94% without and 60% and 100% with CI, while, for radiographs+MRI, they were 74% and 90% vs 71% and 98%, respectively. The diagnostic confidence of radiologists increased from 5.2±1.9 to 6.0±1.7 with CI for radiographs, and from 6.7±1.6 to 7.2±1.6 for radiographs+MRI, respectively.
conclusionThe precision, specificity and diagnostic confidence of radiologic evaluation increased when CI was provided.
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