High versus standard magnetic resonance image resolution of the cervical spine in patients with axial spondyloarthritis

2019 ◽  
Vol 61 (4) ◽  
pp. 471-479
Author(s):  
Simon Krabbe ◽  
Mikkel Østergaard ◽  
Inge J Sørensen ◽  
Jakob Møller ◽  
Bente Jensen ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Cervical Spine ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Bone Marrow Edema ◽  
Axial Spondyloarthritis ◽  
New Bone Formation ◽  
Standard Resolution ◽  
High Resolution Mri ◽  
Marrow Edema

Background Sagittal magnetic resonance (MR) images are typically obtained with the same spatial resolution along the entire spine, but cervical vertebrae are smaller and may be harder to assess. Purpose To investigate if high-resolution (high-res) short tau inversion recovery (STIR) and T1-weighted turbo spin echo (T1W) MR imaging (MRI) sequences are superior to standard resolution for detecting inflammatory and structural lesions in the cervical spine of patients with axial spondyloarthritis. Material and Methods Images were obtained in 36 patients. Voxel sizes at high/standard resolution were 1.99/4.33 mm3 (STIR) and 0.89/3.71 mm3 (T1W). High-resolution and standard-resolution images were scored by two readers according to the Canada-Denmark (CANDEN) MRI spine scoring system. Results Higher bone marrow edema scores were obtained at high resolution versus standard resolution (mean 2.1 vs. 1.2, P = 0.040), whereas fat lesion scores (1.8 vs. 1.5, P = 0.27) and new bone formation scores (3.5 vs. 2.8, P = 0.21) were similar. High-resolution MRI did not classify more patients as positive for bone marrow edema, fat, or new bone formation in the cervical spine compared to standard resolution. Using lateral radiographs as reference standard, sensitivity for detecting anterior corner syndesmophytes with both high-resolution and standard-resolution MRI was low (range 7–22%) and sensitivity for detecting ankylosis was low to moderate (20–55%), while specificity was high (≥96%). Conclusion High-resolution MRI allowed identification of more inflammatory lesions in the cervical spine in patients with axial spondyloarthritis when compared to standard resolution, but it did not classify more patients as positive for bone marrow edema. The slightly increased sensitivity at high-resolution MRI seemed to be too modest to have any real clinical importance.

scholarly journals Method for Diagnosing the Bone Marrow Edema of Sacroiliac Joint in Patients with Axial Spondyloarthritis Using Magnetic Resonance Image Analysis Based on Deep Learning

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1156
Author(s):  
Kang Hee Lee ◽  
Sang Tae Choi ◽  
Guen Young Lee ◽  
You Jung Ha ◽  
Sang-Il Choi
Keyword(s):  
Bone Marrow ◽  
Deep Learning ◽  
Bone Marrow Edema ◽  
Axial Spondyloarthritis ◽  
Mr Images ◽  
Sacroiliac Joints ◽  
Learning Network ◽  
Active Sacroiliitis ◽  
Deep Learning Network ◽  
Marrow Edema

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.

AB1100 PERFORMANCE OF MAGNETIC RESONANCE IMAGING FOR DETECTING SACROILIITIS IN EARLY STAGES OF SPONDYLOARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1839.1-1839
Author(s):  
F. Ladeb ◽  
D. Ben Nessib ◽  
M. Bouaziz ◽  
W. Hamdi ◽  
E. Labbene ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Bone Marrow ◽  
Magnetic Resonance ◽  
Positive Predictive Value ◽  
Bone Marrow Edema ◽  
Resonance Imaging ◽  
Sacroiliac Joints ◽  
Early Stages ◽  
The Mean ◽  
Marrow Edema

Background:In view of the limited accuracy of clinical evaluation to recognize sacroiliitis, several imaging techniques such as conventional radiographs, scintigraphy, ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI) have been used to examine the sacroiliac joints (SIJ).Objectives:The aim of this study was to assess the performance of MRI for detecting sacroiliitis in early stages of spondyloarthritis (SpA).Methods:This cross-sectional prospective monocentric double-blind study included 57 patients consulting for symptoms suggestive of SpA during more than 3 months between February 2014 and February 2017. Patients with conventional radiograph showing a confirmed sacroiliitis (grade 3 or 4) were not included. After clinical examination and blood sampling, eligible patients underwent MRI of SIJ. MR images were interpreted by 2 experimented musculoskeletal radiologists blinded to clinical and laboratory data. Two professors in rheumatology blinded to radiologists’ conclusions, analyzed clinical data, laboratory tests, HLA typing, X-rays and MRI images and divided the patients into 2 groups: confirmed non radiographic SpA (nr-SpA) or no SpA. This classification was considered as the gold standard when analyzing the results.Results:Fifteen men and 42 women were enrolled. The mean age at inclusion was 39.75 ± 11 years [17-59]. The mean duration from the first symptom was 47 ± 39 months [6.6-180]. Forty-three patients were assessed as nr-SpA (75.4%) and 14 patients as no SpA (24.6%). Thirty-three percent of patients were HLA B27 positive. Totally 22 patients had sacroiliitis at MRI, all of them classified as confirmed nr-SpA. Among the nr-SpA group, MRI showed bone marrow edema (BME) in 34.9% of patients and erosions in 44.2% of patients. Among the patients in whom the diagnosis of SpA was excluded, MRI showed bone marrow edema (BME) in 7% of patients and erosions in 7% of patients. A statistically significant association was observed between the presence of sacroiliitis at MRI and rheumatologists’ diagnosis of SpA (p=0.001). The diagnostic value of MRI lesions is presented in the following table:Sensitivity (%)Specificity (%)Positive Predictive Value (%)Positive Predictive Value (%)BME34.992.993.731.7Erosions44.292.99535.1MRI conclusion: sacroiliitis51.210010040Conclusion:SIJ MRI had an excellent specificity for the diagnosis of SpA but a moderate sensitivity. Consequently, some patients in early stages of SpA might be missed by MRI. In addition, we found that diagnostic based solely on BME lacked sensitivity. Detection of erosions in addition to BME enhanced sensitivity (from 34.9% to 44.9%) without changing specificity. Indeed, many recent studies have pointed out the importance of considering structural lesions of SIJ in addition to inflammatory lesions [1, 2].References:[1]Weber U, Lambert RGW, Pedersen SJ, et al (2010) Assessment of structural lesions in sacroiliac joints enhances diagnostic utility of magnetic resonance imaging in early spondylarthritis. Arthritis Care Res 62:1763–1771.https://doi.org/10.1002/acr.20312[2]Weber U, Jurik AG, Lambert RGW, Maksymowych WP (2016) Imaging in Spondyloarthritis: Controversies in Recognition of Early Disease. Curr Rheumatol Rep 18:58.https://doi.org/10.1007/s11926-016-0607-7Disclosure of Interests:None declared

scholarly journals Magnetic Resonance Imaging: Marrow Edema Patterns in Chronic Foot Pain

2020 ◽  
Vol 2 ◽  
pp. 26-31
Author(s):  
Zameer Hirji ◽  
Jatin Kaicker ◽  
Timothy Aravinth Ariyanayagam ◽  
Joanne Howey ◽  
Hema Nalini Choudur
Keyword(s):  
Bone Marrow ◽  
Magnetic Resonance ◽  
Bone Marrow Edema ◽  
Inflammatory Diseases ◽  
Statistical Significance ◽  
Weight Bearing ◽  
Clinical History ◽  
Foot Pain ◽  
The Individual ◽  
Marrow Edema

Objectives: The objective of the study was to determine whether there are specific magnetic resonance (MR) marrow edema patterns in patients with chronic foot pain and whether the individual small bones contribute significantly to pain. Material and Methods: A total of 153 symptomatic consecutive MR studies of patients with chronic foot pain and altered bone marrow signals of the foot and ankle were included in the study. Patients were placed into subgroups based on medial, central, or lateral marrow edema patterns. All cases with a clinical history or MR features of trauma, infection, inflammatory diseases, and tumors were excluded from the study. Statistical analysis was conducted to determine whether the marrow edema in each small bone of the subgroup was significant for the contribution of pain. Results: There were 84, 41, and 28 cases (153 patients) for the medial, central, and lateral marrow edema subgroups, respectively. The medial talus and medial and lateral sesamoid bones achieved statistical significance for an association between pain and marrow edema on MR images. Of the central group, sinus tarsi was statistically significant as a contributor of pain. None of the lateral bones were statistically significant as contributors of pain. Conclusion: Abnormal bone marrow edema patterns of the foot including the ankle on MRI fall into specific patterns of the medial, central, and lateral foot. This could be attributed to altered mechanical weight-bearing axis. The normal mechanical weight-bearing axis for the purpose of this study was along the long axis of the 2nd metatarsal, akin to the underlying seen in March fractures. The medial bone marrow edema was deemed to be a result of medial deviation of the normal mechanical weight-bearing axis, resulting in the marrow edema from the abnormal stress forces. The bone marrow edema pattern along the 2nd metatarsal was considered on the basis of excessive mechanical stress forces. The marrow edema pattern along the lateral foot, 4th and 5th metatarsals, and the lateral talus, calcaneus, and cuboid, was considered as a lateral deviation of the normal axis resulting in the abnormal stress and marrow edema pattern within these bones. By defining bone marrow edema patterns, we can assist orthopedic surgeons, physiatrists, and physiotherapists to provide appropriate corrective treatment including orthotics and physiotherapy. These MR features can also provide a baseline to monitor interval improvement after the application of the corrective measures.

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