Asymptomatic Bone Marrow Edema Detected by 67Ga Scintigraphy

Background: Calcium-suppressed (CaSupp) technique involving spectral-based images has been used to observe bone marrow edema by removing calcium components from the image. Objective: This study aimed to evaluate the knee articular cartilage using the CaSupp technique in dual-layer detector computed tomography (DLCT). Methods: Twenty-eight healthy participants and two patients with osteoarthritis were enrolled, who underwent DLCT and magnetic resonance imaging (MRI) examination. CaSupp images were reconstructed from spectral-based images using a calcium suppression algorithm and were overlaid conventional CT images for visual evaluation. The morphology of the knee cartilage was evaluated, and the thickness of the articular cartilage was measured on sagittal proton density– weighted and CaSupp images in the patellofemoral compartment. Results: No abnormal signal or density, cartilage defect, and subjacent bone ulceration were observed in the lateral and medial femorotibial compartments and the patellofemoral compartment on MRI images and CaSupp images for the 48 normal knee joints. CaSupp images could clearly identify cartilage thinning, defect, subjacent bone marrow edema, and edema of the infrapatellar fat pad in the same way as MRI images in the three knee joints with osteoarthritis. A significant difference was found in the mean thickness of the patellar cartilage between MRI images and CaSupp images, while the femoral cartilage presented no significant difference in thickness between MRI images and CaSupp images over all 48 knee joints. Conclusion: The present study demonstrated that CaSupp images could effectively be used to perform the visual and quantitative assessment of knee cartilage.

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Detection of Bone Marrow Edema in Patients with Osteoid Osteoma Using Three-Material Decomposition with Dual-Layer Spectral CT

Diagnostics ◽

10.3390/diagnostics11060953 ◽

2021 ◽

Vol 11 (6) ◽

pp. 953

Author(s):

Florian T. Gassert ◽

Johannes Hammel ◽

Felix C. Hofmann ◽

Jan Neumann ◽

Claudio E. von Schacky ◽

...

Keyword(s):

Bone Marrow ◽

Osteoid Osteoma ◽

Bone Marrow Edema ◽

Volume Fraction ◽

Imaging Findings ◽

Spectral Ct ◽

Material Decomposition ◽

Negative Imaging ◽

Interreader Agreement ◽

Marrow Edema

The aim of this study is to assess whether perifocal bone marrow edema (BME) in patients with osteoid osteoma (OO) can be accurately detected on dual-layer spectral CT (DLCT) with three-material decomposition. To that end, 18 patients with OO (25.33 ± 12.44 years; 7 females) were pairwise-matched with 18 patients (26.72 ± 9.65 years; 9 females) admitted for suspected pathologies other than OO in the same anatomic location but negative imaging findings. All patients were examined with DLCT and MRI. DLCT data was decomposed into hydroxyapatite and water- and fat-equivalent volume fraction maps. Two radiologists assessed DLCT-based volume fraction maps for the presence of perifocal BME, using a Likert scale (1 = no edema; 2 = likely no edema; 3 = likely edema; 4 = edema). Accuracy, sensitivity, and specificity for the detection of BME on DLCT were analyzed using MR findings as standard of reference. For the detection of BME in patients with OO, DLCT showed a sensitivity of 0.92, a specificity of 0.94, and an accuracy of 0.92 for both radiologists. Interreader agreement for the assessment of BME with DLCT was substantial (weighted κ = 0.78; 95% CI, 0.59, 0.94). DLCT with material-specific volume fraction maps allowed accurate detection of BME in patients with OO. This may spare patients additional examinations and facilitate the diagnosis of OO.

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THU0484 FIBROMYALGIA AND MULTIPLE SWITCHING OF BIOLOGICS IN SPONDYLOARTHRITIS

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.6224 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 479.2-480

Author(s):

A. Negm ◽

J. Alsaleh

Keyword(s):

Bone Marrow ◽

Disease Activity ◽

Bone Marrow Edema ◽

Disease Duration ◽

Hla B27 ◽

Tender Points ◽

Conventional Dmards ◽

Likelihood Ratio Testing ◽

Multiple Switching ◽

Marrow Edema

Background:Fibromyalgia (FM) is a condition characterized by chronic widespread pain, tender points, fatigue and disturbed sleep rhythm. Some of these symptoms such as fatigue, tender points and diffuse pain seen in patients with spondylarthritis (SpA). Moreover, FM and SpA can coexist creating a diagnostic challenge, particularly in early disease course and influence clinical disease activity assessment.Objectives:With this cross-sectional study, we aim to estimate the prevalence of FM in SpA and to elaborate its effect on biological treatments.Methods:FM was identified according to the ACR 2010 diagnostic criteria. SpA patients identified according to rheumatologist using various SpA subsets criteria. A review of the electronic medical files for SpA patients attending the rheumatology outpatient clinic and infusion unit at a major tertiary hospital during the period from June to December 2018 were included. Patients’ demographics, socioeconomics, disease characteristics, activity, HLA status and abnormal MRI sacroiliac were explored. Regarding SpA medications, number, frequency and dose of DMARDs and biological agents were obtained.Continuous variables were reported by their mean and standard deviation (SD) and qualitative variables by frequency and percentage. Statistical significance was set at p <0.05. Statistical analysis was performed using SPSS version 23.Results:Of the 305 enrolled SpA patients, 43 (14.1%) had FM. Females represents 57.4% of the patients, mean age was 44.07 ± 11.85 years. Arab ethnicity represents most of our cohort 84.9%, the majority were Emirati 64.6%. Smokers were 8.2% and ex-smokers were 3.3%. Axial SpA represents 38.4% while peripheral SpA 61.6% of our cohort according to ASAS classification.HLA B27 tested in a sample of 180 patients; it was positive in only 17.8%. CRP found to be elevated in 20.3% of the patients at baseline. Abnormal MRI SIJ bone marrow edema changes were found in 10.8%, while other SIJ changes was seen in additional 20.6%. The prevalence of FM showed no statistically significant difference between axial and peripheral SpA. Patients SpA and FM have longer disease duration than SpA alone, P= 0.034. Table.1 show demographics, socioeconomics and clinical data of our cohort.Regarding medication, the use of biologics among SpA patients with FM is more frequent than SpA patients without FM (74.4% vs 51.5 % respectively), P= 0.005. Interestingly, the likelihood ratio testing showed that SpA patient with Fibromyalgia switch more frequently to another biologics than SpA without fibromyalgia, P= 0.015.Cramer’s V test showed that there is a high statistically significant (P= 0.002) and very strong association (> 0.25) between presence of Fibromyalgia and multiple switching of biologics in SpA.There was no difference in the exposure to prednisolone nor conventional DMARDs between SpA patients with or without FM, P= 0.64 & 1 respectively.Gender, Female, n (%)175 (57.4)Age, mean ± SD (min- max), years44.07 ± 11.85 (18- 78)Type of A, n (%)AxialPeripheral117 (38.4)188 (61.6)Fibromyalgia, n (%)FM in axial SpAFM in Peripheral SpA43 (14.1)18 (41.9)25 (58.1)SpA Disease duration (months)FM+, mean ±SDFM-, mean ±SD107.7± 50.486± 57.9Elevated CRP, n (%)62 (20.3)HLA B27 in180 patients, n (%)PositiveNegative32 (17.8)148 (82.2)Abnormal MRI SIJ, n (%)Bone marrow edemaSubchondral sclerosisFatty transformation of bone marrowErosion92 (30.2)33 (10.8)21 (6.9)5 (1.6)2 (0.7)Number of conventional DMARDs ever tired, n (%)NoneOneTwoThree81 (26.6)166 (54.4)46 (15.1)12 (3.9)Frequency of DMARDs usage, n, (%)Conventional DMARDsPrednisoloneBiologic DNARDs224 (73.4)56 (18.4)164 (53.8)Conclusion:FM coexistence with SpA might impact clinical evaluation of disease activity and possibly negatively affect self-measurement of treatment response. In our study, SPA patients exposed to more biologics if they have coexisting FM; Moreover, they are more frequent switchers among biologics including TNFi and IL17i.Acknowledgments:N Elsidig, A Al Marzooqi, N Zamani, A HossainiDisclosure of Interests: :None declared

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MR Imaging of Bone Marrow Edema and Joint Effusion in Patients with Osteonecrosis of the Femoral Head: Relationship to Pain

American Journal of Roentgenology ◽

10.2214/ajr.181.2.1810545 ◽

2003 ◽

Vol 181 (2) ◽

pp. 545-549 ◽

Cited By ~ 50

Author(s):

Guo-Shu Huang ◽

Wing P. Chan ◽

Yue-Cune Chang ◽

Cheng-Yen Chang ◽

Cheng-Yu Chen ◽

...

Keyword(s):

Bone Marrow ◽

Femoral Head ◽

Mr Imaging ◽

Bone Marrow Edema ◽

Joint Effusion ◽

Marrow Edema

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Influence of pregnancy/childbirth on long-term bone marrow edema and subchondral sclerosis of sacroiliac joints

Skeletal Radiology ◽

10.1007/s00256-020-03700-9 ◽

2021 ◽

Author(s):

Christoph Germann ◽

Daniela Kroismayr ◽

Florian Brunner ◽

Christian W. A. Pfirrmann ◽

Reto Sutter ◽

...

Keyword(s):

Bone Marrow ◽

Bone Marrow Edema ◽

Low Back ◽

Long Term Effects ◽

Sacroiliac Joints ◽

Number Of Children ◽

Mri Changes ◽

Marrow Edema ◽

Subchondral Sclerosis

Abstract Objective To investigate long-term effects of pregnancy/childbirth on bone marrow edema (BME) and subchondral sclerosis of sacroiliac joints (SIJ) in comparison to MRI changes caused by spondyloarthritis (SpA) and assess the influence of birth method and number of children on SIJ-MRI changes. Materials and methods This is a retrospective cohort study with 349 women (mean age 47 ± 14 years) suffering low back pain. Four subgroups were formed based on SpA diagnosis and childbirth (CB) history. Two musculoskeletal radiologists scored the presence of BME and sclerosis on SIJ-MRI using the Berlin method. Further, an 11-point “global assessment score” representing the overall confidence of SpA diagnosis based on MRI was evaluated in addition to the ASAS (Assessment of Spondyloarthritis International Society) criterion of “positive MRI” for sacroiliitis. Results CB did not correlate with BME score (p = 0.38), whereas SpA diagnosis was associated with a higher BME score (r = 0.31, p < 0.001). Both CB (r = 0.21, p < 0.001) and SpA diagnosis (r = 0.33, p < 0.001) were correlated with a higher sclerosis score. CB was not associated with a higher confidence level in diagnosing SpA based on MRI (p = 0.07), whereas SpA diagnosis was associated with a higher score (r = 0.61, p < 0.001). Both CB (phi = 0.13, p = 0.02) and SpA diagnosis (phi = 0.23, p < 0.001) were significantly associated with a positive ASAS criterion for sacroiliitis. In non-SpA patients with CB, number of children (p = 0.001) was an independent predictor of sclerosis score, while birth method yielded no significant effect (p = 0.75). Conclusion Pregnancy/CB has no impact on long-term BME on SIJ, however, may cause long-term subchondral sclerosis—similar to SpA-associated sclerosis. Number of children is positively correlated with SIJ sclerosis. Birth method yields no effect on SIJ sclerosis.

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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 ◽

10.3390/diagnostics11071156 ◽

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.

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