OP0273 Does Spinal MRI Add Incremental Diagnostic Value to MRI of the Sacroiliac Joints Alone in Non-Radiographic Axial Spondyloarthritis?

2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A145.2-A146 ◽  
Author(s):  
U. Weber ◽  
V. Zubler ◽  
Z. Zhao ◽  
R. G. Lambert ◽  
S. M. Chan ◽  
...  
2014 ◽  
Vol 74 (6) ◽  
pp. 985-992 ◽  
Author(s):  
Ulrich Weber ◽  
Veronika Zubler ◽  
Zheng Zhao ◽  
Robert GW Lambert ◽  
Stanley M Chan ◽  
...  

ObjectiveTo assess the incremental diagnostic value of spine MRI evaluated separately from and combined with sacroiliac joint (SIJ) MRI in non-radiographic axial spondyloarthritis (nr-axSpA) compared with SIJ MRI alone.MethodsThe study sample comprised two independent cohorts A/B of 130 consecutive patients aged ≤50 years with back pain, newly referred to two university clinics, and 20 healthy controls. Patients were classified according to clinical examination and pelvic radiographs as having nr-axSpA (n=50), ankylosing spondylitis (n=33), or non-specific back pain (n=47). Four readers assessed SIJ and spine MRI separately 6 months apart, and 1–12 months later both scans simultaneously using standardised modules. Readers recorded presence/absence of SpA and their level of confidence in this conclusion on a 0–10 scale (0=definitely not; 10=definite). We analysed differences between SIJ MRI versus spine MRI alone, and SIJ MRI alone versus combined MRI, descriptively by the number/percentage of subjects according to the mean of four readers.ResultsIn cohorts A/B, 15.8%/24.2% of patients with nr-axSpA having a negative SIJ MRI were reclassified as being positive for SpA by global evaluation of combined scans. However, 26.8%/11.4% of non-specific back pain controls and 17.5% of healthy volunteers with a negative SIJ MRI were falsely reclassified as having SpA by combined MRI. Low confidence in a diagnosis of SpA by SIJ MRI increased to high confidence by combined MRI in 6.6%/7.3% of patients with nr-axSpA.ConclusionsCombined spine and SIJ MRI added little incremental value compared with SIJ MRI alone for diagnosing patients with nr-axSpA and enhancing confidence in this diagnosis.


2020 ◽  
Vol 12 ◽  
pp. 1759720X2097392
Author(s):  
Shirley Chiu Wai Chan ◽  
Philip Hei Li ◽  
Kam Ho Lee ◽  
Helen Hoi Lun Tsang ◽  
Chak Sing Lau ◽  
...  

Background: The presence of ⩾3 corner inflammatory lesions has been proposed as the definition of a positive spinal magnetic resonance imaging (MRI) for axial spondyloarthritis (axSpA), but subsequent studies showed inconclusive findings. Our objective was to evaluate whether locations of corner inflammatory lesions (CILs) would affect the diagnostic utility of MRI in axSpA. Method: Two groups were consecutively recruited from eight rheumatology centers in Hong Kong. The ‘axSpA’ group included 369 participants with a known diagnosis of axSpA. The ‘non-specific back pain’ (NSBP) control group consisted of 117 participants. Clinical, biochemical, and radiological parameters were collected and all patients underwent MRI of the spine and sacroiliac joints. CILs were assessed based on their locations (cervical, thoracic or lumbar) to determine the optimal cutoff for diagnosis. Results: The cutoff of ⩾5 whole spine CILs (W-CILs) and ⩾3 thoracic spine CILs (T-CILs) had comparable specificity to MRI sacroiliitis. Of 85/369 axSpA patients without sacroiliitis on conventional radiograph or MRI, 7 had ⩾5 W-CILs and 11 had ⩾3 T-CILs. Incorporating the proposed cutoffs into Assessment of SpondyloArthritis international Society axSpA criteria, ⩾5 W-CILs and ⩾3 T-CILs had similar performance when added to the imaging criteria for sacroiliitis (sensitivity 0.79 versus 0.80, specificity 0.92 versus 0.91). Conclusion: Spinal MRI provided little incremental diagnostic value in unselected axSpA patients. However, in patients without sacroiliitis on MRI or radiographs, 8–13% might be diagnosed by spinal MRI. Thoracic and whole spine MRI had similar diagnostic performance using the proposed cutoff of ⩾5 W-CILs and ⩾3 T-CILs.


2010 ◽  
Vol 37 (6) ◽  
pp. 1200-1202 ◽  
Author(s):  
IN-HO SONG ◽  
HENNING BRANDT ◽  
MARTIN RUDWALEIT ◽  
JOACHIM SIEPER

Objective.To assess the diagnostic value for axial spondyloarthritis (SpA) of unilateral sacroiliitis in scintigraphy in daily clinical practice.Methods.In 207 patients with chronic back pain, the diagnostic value of scintigraphy was assessed retrospectively. The diagnosis made by the rheumatologist (axial SpA vs no axial SpA) was the standard.Results.Sensitivities of scintigraphy for any (unilateral or bilateral), bilateral, and isolated unilateral sacroiliitis were 64.9%, 40.2%, and 24.7%, respectively. Respective specificities were 50.5%, 57.7%, and 92.8%, resulting in likelihood ratios of 1.3, 1.0, and 3.4.Conclusion.Scintigraphy of the sacroiliac joints is of limited value for the diagnosis of axial SpA. Unilateral compared to bilateral sacroiliitis is slightly superior, but is associated with a low sensitivity.


Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1156
Author(s):  
Kang Hee Lee ◽  
Sang Tae Choi ◽  
Guen Young Lee ◽  
You Jung Ha ◽  
Sang-Il Choi

Axial spondyloarthritis (axSpA) is a chronic inflammatory disease of the sacroiliac joints. In this study, we develop a method for detecting bone marrow edema by magnetic resonance (MR) imaging of the sacroiliac joints and a deep-learning network. A total of 815 MR images of the sacroiliac joints were obtained from 60 patients diagnosed with axSpA and 19 healthy subjects. Gadolinium-enhanced fat-suppressed T1-weighted oblique coronal images were used for deep learning. Active sacroiliitis was defined as bone marrow edema, and the following processes were performed: setting the region of interest (ROI) and normalizing it to a size suitable for input to a deep-learning network, determining bone marrow edema using a convolutional-neural-network-based deep-learning network for individual MR images, and determining sacroiliac arthritis in subject examinations based on the classification results of individual MR images. About 70% of the patients and normal subjects were randomly selected for the training dataset, and the remaining 30% formed the test dataset. This process was repeated five times to calculate the average classification rate of the five-fold sets. The gradient-weighted class activation mapping method was used to validate the classification results. In the performance analysis of the ResNet18-based classification network for individual MR images, use of the ROI showed excellent detection performance of bone marrow edema with 93.55 ± 2.19% accuracy, 92.87 ± 1.27% recall, and 94.69 ± 3.03% precision. The overall performance was additionally improved using a median filter to reflect the context information. Finally, active sacroiliitis was diagnosed in individual subjects with 96.06 ± 2.83% accuracy, 100% recall, and 94.84 ± 3.73% precision. This is a pilot study to diagnose bone marrow edema by deep learning based on MR images, and the results suggest that MR analysis using deep learning can be a useful complementary means for clinicians to diagnose bone marrow edema.


2015 ◽  
Vol 8 ◽  
pp. CMAMD.S28347 ◽  
Author(s):  
Marcelo P. Castro ◽  
Simon M. Stebbings ◽  
Stephan Milosavljevic ◽  
Melanie D. Bussey

The aim of this study was to present a rationale to explore the use of clinical tests for the sacroiliac joints to detect early axial spondyloarthritis (SpA) and to suggest a protocol to validate these clinical tests. Based on the European Guidelines for Diagnosis and Treatments of Pelvic Girdle Pain, we propose a set of six clinical tests to identify the likely presence of inflammation in the sacroiliac joints associated with early axial SpA. As magnetic resonance imaging (MRI) is the current gold standard used to identify inflammation in the sacroiliac joints, the results of the proposed set of clinical tests are compared with those from the MRI examinations. We hypothesize that specific clinical tests, which combine pain provocation and functional tests, for assessing the sacroiliac joints will help to identify early active inflammation at the sacroiliac joints in axial SpA. If such tests prove to be sensitive and specific, they could add further value to the diagnostic classification criteria for axial SpA.


2021 ◽  
Vol 30 (04) ◽  
pp. 311-318
Author(s):  
Uta Syrbe

AbstractAxial spondyloarthritis is an inflammatory disease of the axial skeleton. Its pathogenesis is only partly understood. At the beginning, there are inflammatory changes in the sacroiliac joints which are followed by inflammation in vertebral bodies and in facet joints. Low back pain occurring in the morning hours is the dominant clinical symptom. In the early phase, inflammatory changes are detectably by MRI. Inflammation promotes a process of joint remodelling in the sacroiliac joints which leads to erosions, sclerosis and bony bridging, i. e. ankylosis, which are detectable by X-ray. In the spine, vertical osteophytes developing at sites of previous inflammation connect vertebral bodies as syndesmophytes. Additional ossification of longitudinal ligaments contributes to the so-called bamboo spine. Ossification of the spine promotes fixation of a severe kyphosis of the thoracic spine which strongly impairs spine mobility and quality of life. High disease activity seems a prominent risk factor for development of structural damage. However, although NSAIDs improve clinical symptoms, they do not reduce new bone formation. In contrast, TNFα and IL-17 inhibitors seem to retard new bone formation apart from their clinical efficacy. Research work of the last years identified immunological pathways of inflammation. However, the trigger and cellular components of the immune reaction in the bone marrow are still poorly defined. Osteoclasts are involved in the destruction of the subchondral bone, while osteoblasts facilitate new bone formation and cartilage ossification. This review gives an overview about diagnostics and therapy of axSpA and about risk factors for the development of structural damage. Concepts about the immune pathogenesis and joint remodeling in AS are given under recognition of genetic and histopathological studies.


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