Diagnostic performance of sacroiliac joint MRI and added value of spine MRI to detect active spondyloarthritis
| Autor: | Patrick Durez, Frédéric Lecouvet, A. Nzeusseu Toukap, Thomas Kirchgesner, Maria Stoenoiu, Bernard Lauwerys, M. Plier, Nicolas Michoux |
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| Přispěvatelé: | UCL - SSS/IREC/RUMA - Pôle de Pathologies rhumatismales, UCL - SSS/IREC/IMAG - Pôle d'imagerie médicale, UCL - (SLuc) Service de radiologie, UCL - (SLuc) Service de rhumatologie, UCL - (SLuc) Centre du cancer |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male medicine.medical_specialty Severity of Illness Index 030218 nuclear medicine & medical imaging Disease activity 03 medical and health sciences 0302 clinical medicine Lumbar Spondylarthritis medicine Humans Spondylitis Ankylosing Radiology Nuclear Medicine and imaging Axial spondyloarthritis Magnetic resonance imaging (MRI) Sacroiliac joint Ankylosing spondylitis Radiological and Ultrasound Technology Receiver operating characteristic medicine.diagnostic_test business.industry Sacro-iliac joint Sacroiliac Joint Magnetic resonance imaging General Medicine medicine.disease Magnetic Resonance Imaging Spine Cross-Sectional Studies medicine.anatomical_structure 030220 oncology & carcinogenesis Radiological weapon Female Radiology business |
| Zdroj: | Diagnostic and interventional imaging, Vol. 102, no. 3, p. 171-180 (2021) |
| ISSN: | 2211-5684 |
| DOI: | 10.1016/j.diii.2020.07.001 |
| Popis: | Purpose To investigate the diagnostic performance of sacroiliac joint (SIJ) magnetic resonance imaging (MRI) and the incremental value of spine MRI to “predict” clinical disease activity in patients with axial spondyloarthritis (axSpA). Materials and methods This cross-sectional study included adult patients with known axSpA according to the SpondyloArthritis International Society (ASAS) classification criteria, radiological arm. MRI disease activity was scored semi-quantitatively for SIJ and total spine MRI in each patient. Two cut-off levels (≥ 1.3 and ≥ 2.1) for ankylosing spondylitis disease activity score with C-reactive protein (ASDAS-CRP) were considered for clinical disease activity categorization. MRI scores were first evaluated individually. Then, SIJ score was combined with the score from a spine segment (lumbar, cervical, thoracic or total spine) to build a bi-parametric model using a classification tree. Receiver operating characteristic (ROC) curves were constructed to evaluate the classification performance according to disease activity category of these models. Results Forty-four patients (30 men, 14 women; mean age, 37 years ± 10 [SD] [range: 17–64 years]) with a mean disease duration of 5 years ± 8 (SD) (range: 0–35 years) were included. Thirty-six patients (36/44; 82%) had ASDAS-CRP ≥ 1.3 and 27 patients (27/44; 61%) had ASDAS-CRP ≥ 2.1. The most frequently involved spinal segment was mid-thoracic (T7-T8). The SIJ MRI score was an informative model to identify active axSpA (AUC ≥ 0.7, regardless of the cut-off level on ASDAS-CRP). Performance of bi-parametric models based on “SIJ + thoracic spine” (for detecting patients with ASDAS-CRP ≥ 1.3) or “SIJ + total spine” (for detecting patients with ASDAS-CRP ≥ 2.1) outperformed that of the individual SIJ score (P Conclusion The combination of MRI of the SIJ and spine allows to accurately discriminate between active and inactive axSpA, outperforming SIJ MRI alone. |
| Databáze: | OpenAIRE |
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