1. Evaluation of the performances of ‘typical’ imaging abnormalities of axial spondyloarthritis: results of the cross-sectional ILOS-DESIR study
- Author
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Romain Beaufort, Philippe Goupille, Maxime Dougados, Pascal Richette, Antoine Feydy, Violaine Foltz, Jean-Denis Laredo, Anna Molto, Laure Gossec, Marie-Martine Lefèvre-Colau, Philippe Dieudé, Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Service de Rhumatologie [CHU Pitié Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de rééducation et de réadaptation de l'appareil locomoteur et des pathologies du rachis [CHU Cochin], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Cochin [AP-HP], Sans affiliation, Hôpital Lariboisière-Fernand-Widal [APHP], Biologie de l'Os et du Cartilage : Régulations et Ciblages Thérapeutiques (BIOSCAR (UMR_S_1132 / U1132)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Immunopathologie rénale, récepteurs et inflammation, Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), AP-HP - Hôpital Bichat - Claude Bernard [Paris], CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and HAL-SU, Gestionnaire
- Subjects
Diagnostic Imaging ,Male ,medicine.medical_specialty ,[SDV]Life Sciences [q-bio] ,Radiography ,Immunology ,Population ,Sensitivity and Specificity ,Lesion ,03 medical and health sciences ,0302 clinical medicine ,Rheumatology ,Spondyloarthritis ,Spondylarthritis ,medicine ,Back pain ,Immunology and Allergy ,Humans ,030212 general & internal medicine ,Axial spondyloarthritis ,education ,030203 arthritis & rheumatology ,Sacroiliac joint ,education.field_of_study ,medicine.diagnostic_test ,business.industry ,Reproducibility of Results ,Magnetic resonance imaging ,Magnetic Resonance Imaging ,Spine ,[SDV] Life Sciences [q-bio] ,medicine.anatomical_structure ,Cross-Sectional Studies ,Cohort ,epidemiology ,Female ,Radiology ,medicine.symptom ,business - Abstract
ObjectiveTo evaluate the prevalence and performance as axial Spondyloarthritis (axSpA) diagnostic feature of radiographic and MRI lesions ‘typical’ of axSpA of the sacroiliac joint (SIJ) and spine in a mechanical chronic back pain (CBP) population and in an axSpA cohort.MethodsCross-sectional multicentre study. Patients: (1) recent onset axSpA (DESIR cohort) and (2) mechanical non-axSpA CBP matched for age and gender (ILOS study). Imaging: radiographs and MR scans were performed identically in both groups. All images were centrally read, blinded for diagnosis and for other imaging findings in the same patient. Statistical analysis: prevalence of lesions ‘typical of axSpA’ were compared in both groups. Sensitivity, specificity and positive likelihood ratios (LR+) of each lesion (and combination of lesions) were calculated.ResultsA total of 98 patients with CBP were included, and compared with 100 patients with recent onset axSpA. SIJ lesions were consistently more frequent in the axSpA group (35.0% vs 11.8% pConclusionOur study confirms that ‘typical’ lesions can also be observed in patients with non-axSpA CBP but that SIJ lesions by all modalities remain the most valuable for diagnosis, including structural lesions of the SIJ. This suggests the potential interest of adding MRI SIJ structural lesions in the definition of MRI abnormalities for axSpA classification.
- Published
- 2019
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