scholarly journals Radiological Followup of the Evolution of Inflammatory Process in Sacroiliac Joint with Magnetic Resonance Imaging: A Case with Pyogenic Sacroiliitis

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Muhammet Cinar ◽  
Hatice Tugba Sanal ◽  
Sedat Yilmaz ◽  
Ismail Simsek ◽  
Hakan Erdem ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Sacroiliac Joint ◽  
Resonance Imaging ◽  
Mr Images ◽  
Buttock Pain ◽  
Pyogenic Sacroiliitis ◽  
Acute Form ◽  
Active Sacroiliitis ◽  
Bone Structures ◽  
Surrounding Bone

Pyogenic sacroiliitis (PS) is an acute form of sacroiliitis that mostly starts with very painful buttock pain. Here in this case, the followup magnetic resonance (MR) images of a 49-year-old male patient with PS is displayed. After his sacroiliitis was documented by MR images, he was treated with the combination of rifampicin plus streptomycin and moxifloxacin. Serial MR investigations were done to disclose acute and subsequent imaging changes concerning sacroiliac joint and surrounding bone structures. Although after treatment all the symptoms were completely resolved, 20 months later changes suggesting active sacroiliitis on MR images were continuing.

scholarly journals THU0527 FREQUENCY AND ANATOMIC DISTRIBUTION OF MAGNETIC RESONANCE IMAGING LESIONS IN THE SACRO-ILIAC JOINTS OF HEALTHY SUBJECTS AND PATIENTS WITH SPONDYLOARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 503.2-503
Author(s):  
S. Hecquet ◽  
J. P. Lustig ◽  
F. Verhoeven ◽  
M. Chouk ◽  
S. Aubry ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Sacroiliac Joint ◽  
Healthy Subjects ◽  
Axial Spondyloarthritis ◽  
Healthy Individuals ◽  
Resonance Imaging ◽  
Sacroiliac Joints ◽  
Buttock Pain ◽  
Middle Segment

Background:Lesions detected by magnetic resonance imaging (MRI) of the sacroiliac joints are critical to the diagnosis of non-radiographic axial spondyloarthritis (1). However, some lesions, such as bone marrow edema (BME), usually observed in patients with spondyloarthritis may be encountered in other conditions. BME have been described in patients with nonspecific back pain, healthy subjects, women with postpartum and in athletes (2). Moreover, it has recently been shown that structural lesions of the sacroiliac joint, such as erosions and fat metaplasia, may be present in healthy subjects (3).Objectives:To evaluate and compare the frequency and location of lesions (BME, subchondral condensation, fat metaplasia, erosions and ankylosis) on MRIs of the sacroiliac joint of healthy individuals and patients with spondyloarthritis.Methods:This is a retrospective study conducted at the University Hospital of Besançon including 200 patients, each having received an MRI of the sacroiliac joints in coronal section and in T1 and Semicoronal short tau inversion recovery sequences. Two experienced readers evaluated the whole set of images to detect erosions, subchondral condensation, fat metaplasia, BME and ankylosis according to the definitions established by the Assessment of SpondyloArthritis MRI working group. We subdivided a sacroiliac joint into three segments, upper, medium and lower along the cranio-caudal axis. Within the middle segment, we retained 3 portions: anterior, intermediate, posterior along the ventro-dorsal axis. Overall, one sacroiliac joint contained five quadrants on the iliac side and five quadrants on the sacral side.Results:Collected MRI of 200 patients (62% female), 96 patients had spondyloarthritis (mean age 37.4±11.8 years, 48% HLA-B27+), 104 subjects were unaffected by the disease (mean age 39.9±11.6 years, 11% HLA-B27+). Of the 96 spondyloarthritis patients, 62 (65%) had inflammatory buttock pain compared to 26 (25%) in the group without spondyloarthritis. BME was seen in 62 (65%) patients with spondyloarthritis mainly in the iliac quadrant of the intermediate middle segment and in 21 (20%) patients without spondyloarthritis predominantly in the antero-middle quadrant. There were equal BME in women and men with spondyloarthritis. Subchondral condensation occurred in 45% of patients without spondyloarthritis, mostly in the antero-middle quadrant and in 36% of patients with spondyloarthritis. Fat metaplasia was present in 35% of spondyloarthritis patients and in 23% of control patients. Erosions were seen in 31% of healthy patients and in 61% of patients with spondyloarthritis.Conclusion:In this large retrospective cohort, we observed a significant frequency of inflammatory but also structural lesions on MRIs of sacroiliacs joints from healthy patients, which could lead to the misdiagnosis of spondyloarthritis. Fine identification of the location of these lesions is crucial to avoid erroneous diagnosis.References:[1]Maksymowych WP. The role of imaging in the diagnosis and management of axial spondyloarthritis. Nat Rev Rheumatol. nov 2019;15(11):657‑72.[2]de Winter J, de Hooge M, van de Sande M, de Jong H, van Hoeven L, de Koning A, et al. Magnetic Resonance Imaging of the Sacroiliac Joints Indicating Sacroiliitis According to the Assessment of SpondyloArthritis international Society Definition in Healthy Individuals, Runners, and Women With Postpartum Back Pain. Arthritis Rheumatol Hoboken Nj. juill 2018;70(7):1042‑8.[3]Seven S, Østergaard M, Morsel-Carlsen L, Sørensen IJ, Bonde B, Thamsborg G, et al. Magnetic Resonance Imaging of Lesions in the Sacroiliac Joints for Differentiation of Patients With Axial Spondyloarthritis From Control Subjects With or Without Pelvic or Buttock Pain: A Prospective, Cross-Sectional Study of 204 Participants. Arthritis Rheumatol. 1 déc 2019;71(12):2034‑46.Disclosure of Interests:None declared

Magnetic resonance imaging of primary cerebral gliosarcoma: a report of 15 cases

2008 ◽  
Vol 49 (9) ◽  
pp. 1058-1067 ◽  
Author(s):  
L. Han ◽  
X. Zhang ◽  
S. Qiu ◽  
X. Li ◽  
W. Xiong ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Clinical Information ◽  
Cerebellar Hemisphere ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Mr Images ◽  
Peripheral Location ◽  
Pathology Reports ◽  
The Right ◽  
Radiologic Features

Background: Gliosarcomas are rare tumors with mixed glial and mesenchymal components. Many of their radiologic features resemble those of other primary brain malignancies. Purpose: To investigate the magnetic resonance (MR) imaging features of gliosarcomas. Material and Methods: We retrospectively reviewed the MR images, pathology reports, and clinical information of 11 male and four female patients aged 15–71 years to evaluate the location, morphology, enhancement, and other features of their pathologically confirmed gliosarcomas. Results: Apart from one tumor in the right cerebellar hemisphere, all were supratentorial. Two tumors were intraventricular, and four involved the corpus callosum. The tumors were well demarcated, with an inhomogeneous or cystic appearance and moderate-to-extensive surrounding edema. Thick walls with strong rim and ring-like enhancement were observed in 13 (87%). Seven (47%) showed intratumoral paliform enhancement. Conclusion: Gliosarcoma demonstrates certain characteristic MR features, such as supratentorial and peripheral location, well-demarcated, abutting a dural surface, uneven and thick-walled rim-like or ring enhancement, as well as intratumoral strip enhancement. These findings, combined with patient age, can aid the differential diagnosis of gliosarcomas from more common primary brain tumors.

Optimization of T2-weighted imaging for shoulder magnetic resonance arthrography by synthetic magnetic resonance imaging

2017 ◽  
Vol 59 (8) ◽  
pp. 959-965
Author(s):  
Seung Hyun Lee ◽  
Young Han Lee ◽  
Seok Hahn ◽  
Jaemoon Yang ◽  
Ho-Taek Song ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Supraspinatus Tendon ◽  
Joint Fluid ◽  
Resonance Imaging ◽  
Mr Images ◽  
Diagnostic Agreement ◽  
Tissue Contrast ◽  
Synthetic Images ◽  
Synthetic Mri

Background Synthetic magnetic resonance imaging (MRI) allows reformatting of various synthetic images by adjustment of scanning parameters such as repetition time (TR) and echo time (TE). Optimized MR images can be reformatted from T1, T2, and proton density (PD) values to achieve maximum tissue contrast between joint fluid and adjacent soft tissue. Purpose To demonstrate the method for optimization of TR and TE by synthetic MRI and to validate the optimized images by comparison with conventional shoulder MR arthrography (MRA) images. Material and Methods Thirty-seven shoulder MRA images acquired by synthetic MRI were retrospectively evaluated for PD, T1, and T2 values at the joint fluid and glenoid labrum. Differences in signal intensity between the fluid and labrum were observed between TR of 500–6000 ms and TE of 80–300 ms in T2-weighted (T2W) images. Conventional T2W and synthetic images were analyzed for diagnostic agreement of supraspinatus tendon abnormalities (kappa statistics) and image quality scores (one-way analysis of variance with post-hoc analysis). Results Optimized mean values of TR and TE were 2724.7 ± 1634.7 and 80.1 ± 0.4, respectively. Diagnostic agreement for supraspinatus tendon abnormalities between conventional and synthetic MR images was excellent (κ = 0.882). The mean image quality score of the joint space in optimized synthetic images was significantly higher compared with those in conventional and synthetic images (2.861 ± 0.351 vs. 2.556 ± 0.607 vs. 2.750 ± 0.439; P < 0.05). Conclusion Synthetic MRI with optimized TR and TE for shoulder MRA enables optimization of soft-tissue contrast.

Magnetic resonance imaging of active sacroiliitis: Do we really need gadolinium?

2009 ◽  
Vol 71 (2) ◽  
pp. 232-236 ◽  
Author(s):  
Christian E. Althoff ◽  
Eugen Feist ◽  
Elena Burova ◽  
Iris Eshed ◽  
Matthias Bollow ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Active Sacroiliitis

AB1161 ARTIFICIAL INTELLIGENCE FOR RHEUMATOLOGY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1871-1872
Author(s):  
A. C. Genç ◽  
F. Turkoglu Genc ◽  
A. B. Kara ◽  
L. Genc Kaya ◽  
Z. Ozturk ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Sacroiliac Joint ◽  
Axial Skeleton ◽  
Observer Agreement ◽  
Mri Findings ◽  
Learning Methods ◽  
Expert Radiologist ◽  
Active Sacroiliitis

Background:Magnetic resonance imaging (MRI) of sacroiliac (SI) joints is used to detect early sacroiliitis(1). There can be an interobserver disagreement in MRI findings of SI joints of spondyloarthropathy patients between a rheumatologist, a local radiologist, and an expert radiologist(2). Artificial Intelligence and deep learning methods to detect abnormalities have become popular in radiology and other medical fields in recent years(3). Search for “artificial intelligence” and “radiology” in Pubmed for the last five years returned around 1500 clinical studies yet no results were retrieved for “artificial intelligence” and “rheumatology”.Objectives:Artificial Intelligence (AI) can help to detect the pathological area like sacroiliitis or not and also allows us to characterize it as quantitatively rather than qualitatively in the SI-MRI.Methods:Between the years of 2015 and 2019, 8100 sacroiliac MRIs were taken at our center. The MRIs of 1150 patients who were reported as active or chronic sacroiliitis from these sacroiliac MRIs or whose MRIs were considered by the primary physician in favor of sacroiliitis was included in the study. 1441 MRI coronal STIR sequence of 1150 patients were tagged as ‘’active sacroiliitis’’ and trained to detect and localize active sacroiliitis and provide prediction performance. This model is available for various operating systems. (Image1)Results:Precision score, the percentage of sacroiliac images of the trained model, is 87.1%. Recall, the percentage of the total sacroiliac MRIs correctly classified by the model, is 82.1% and the mean average precision (mAP) of the model is 89%.Conclusion:There are gray areas in medicine like sacroiliitis. Inter-observer variability can be reduced by AI and deep learning methods. The efficiency and reliability of health services can be increased in this way.References:[1]Jans L, Egund N, Eshed I, Sudoł-Szopińska I, Jurik AG. Sacroiliitis in Axial Spondyloarthritis: Assessing Morphology and Activity. Semin Musculoskelet Radiol. 2018;22: 180–188.[2]B. Arnbak, T. S. Jensen, C. Manniche, A. Zejden, N. Egund, and A. G. Jurik, “Spondyloarthritis-related and degenerative MRI changes in the axial skeleton—an inter- and intra-observer agreement study,”BMC Musculoskeletal Disorders, vol. 14, article 274, 2013.[3]Rueda, Juan C et al. “Interobserver Agreement in Magnetic Resonance of the Sacroiliac Joints in Patients with Spondyloarthritis.”International journal of rheumatology(2017).Image1.Bilateral active sacroiliitis detected automatically by AI model (in right sacroiliac joint 75.6%> (50%), in left sacroiliac joint 65% (>50%))Disclosure of Interests:None declared

scholarly journals Prognostic value of magnetic resonance imaging features in low-grade gliomas

2019 ◽  
Vol 39 (6) ◽  
Author(s):  
Liang Deng ◽  
Liangfang Shen ◽  
Lin Shen ◽  
Zhao Zhao ◽  
Yingpeng Peng ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multivariate Analysis ◽  
Magnetic Resonance ◽  
Low Grade ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Mr Images ◽  
Low Grade Gliomas ◽  
Kaplan Meier ◽  
Mri Features

AbstractIntroduction: The treatment strategy for low-grade gliomas (LGGs) is still controversial, and there are no standardized criteria to predict the prognosis of patients with LGGs. Magnetic resonance imaging (MRI) is a routine test for preoperative diagnosis for LGG and can reflect the destructive features for the tumor. In the present study, we aimed to explore the relationship between the MRI features and prognosis in patients with LGG.Methods: Clinical data of 80 patients with pathologically proved LGGs between January 2010 and December 2016 were analyzed retrospectively. MRI features were classified as contrast enhancement pattern (focal enhancement, diffuse enhancement and ring-like enhancement), necrosis and cysts based on the preoperative MR images. Kaplan–Meier method and multivariate analysis were performed on the data by SPSS software to explore the prognostic significance of MRI features.Results: Patients with cystic LGG had a significantly longer 5-year progression-free survival (PFS) than that with no cyst (90.9 ± 8.7 vs 65.7 ± 9.1%, P=0.045). Multivariate analysis further verified cyst as an independent prognosis factor for PFS (P=0.027, hazard ratio [HR] = 0.084). Additionally, patients with ring-like enhancement exhibited significantly longer 5-year PFS time in the Kaplan–Meier survival curves (100 vs 67.2 ± 7.7%, P=0.049). There was no significant difference in PFS and overall survival (OS) between patients with or without necrosis.Conclusion: Our study suggests that cyst formation and ring-like enhancement on preoperative MR images can be useful to predict a favorable prognosis in patients with LGGs.

Magnetic Resonance Imaging in the Evaluation of Occult Submucous Cleft Palate

2001 ◽  
Vol 38 (5) ◽  
pp. 421-431 ◽  
Author(s):  
David P. Kuehn ◽  
Sandra L. Ettema ◽  
Michael S. Goldwasser ◽  
Joseph C. Barkmeier ◽  
Jayne M. Wachtel
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Cleft Palate ◽  
Muscle Tissue ◽  
Speech Therapy ◽  
Treatment Decision ◽  
Levator Muscle ◽  
Resonance Imaging ◽  
Mr Images ◽  
Submucous Cleft Palate

Objective: To explore the application of magnetic resonance imaging (MRI) in the evaluation of patients with occult submucous cleft palate and to use the MRI information obtained to aid in the treatment decision to perform surgery versus behavioral speech therapy. Design: Prospective study with magnetic resonance (MR) images of subjects suspected of having occult submucous cleft palate. Setting: Hospital and university-based. Patients: Two girls who were 4 years old at the time of palatal surgery. Intervention: Furlow double-opposing Z-plasty. Main outcome measures: MR images and clinical speech evaluations. Results: MR images provided evidence of an interruption of levator veli palatini muscle tissue in the midline and a substantial attachment of levator muscle tissue to the posterior border of the hard palate. In addition, MR images for both subjects demonstrated remarkably similar bilateral encapsulating sheaths that contained nonmuscular tissue, as confirmed subsequently during surgery. The encapsulating sheaths interrupted the normal progression of the levator muscle sling across the midline. The MR images led to the decision to perform surgery instead of speech therapy. Hypernasality was markedly reduced in both subjects after surgery. Conclusions: MRI is an effective technique for diagnosing occult submucous cleft palate and may be an important aid in the treatment decision regarding surgery versus behavioral speech therapy for patients diagnosed with occult submucous cleft palate.

Quantitative brain histogram of canine epilepsy using magnetic resonance imaging

2020 ◽  
pp. 028418512091403
Author(s):  
Somkiat Huaijantug ◽  
Paranee Yatmark ◽  
Phanupong Chinnabrut ◽  
Nutruja Rueangsawat ◽  
Avirut Wongkumlue ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Diffusion Coefficient ◽  
Magnetic Resonance ◽  
Apparent Diffusion Coefficient ◽  
Diffusion Weighted Imaging ◽  
Idiopathic Epilepsy ◽  
Resonance Imaging ◽  
Mr Images ◽  
Apparent Diffusion ◽  
The Brain

Background Quantitative magnetic resonance imaging (MRI) is used to study the anatomy of the brain in dogs with idiopathic epilepsy. Purpose To quantitate MRI images in terms of volumetric ratios and histogram analyses of the following regions of interest (ROI) in dogs with idiopathic epilepsy: frontal; parietal; temporal; piriform; thalamic; and hippocampal regions. Material and Methods Nine dogs with epilepsy and four healthy controls were evaluated. We examined the volumetric ratios and histogram analyses of six ROIs in all dogs. Results MR images, in T1-weighted, T2-weighted, FLAIR, diffusion-weighted imaging, and apparent diffusion coefficient sequences detected changes in 4/9 (44%) epileptic dogs found in 5/6 regions: frontal; parietal; temporal; piriform; and hippocampal regions. However, no such changes were observed in the thalamic region. Interestingly, the frontal and piriform volumetric ratios of epileptic dogs were significantly lower than those of control dogs. The histogram analyses in 4/6 regions were significantly increased in epileptic dogs. Conclusion Our results demonstrated MRI finding abnormalities in several regions of the brain in several sequences including T1-weighted, T2-weighted, FLAIR, diffusion-weighted imaging, and apparent diffusion coefficient in epileptic dogs. In several regions of the brain, atrophy may exist, and hyperintensity may be present on MR images in epileptic dogs. These findings suggest that the diagnostic yield of MRI, which is an advanced neuroimaging technique, is high in epileptic dogs and has good reliability and sensitivity in detecting abnormal areas in patients.

Janus nanoparticles for contrast enhancement of T1–T2 dual mode magnetic resonance imaging

2019 ◽  
Vol 48 (3) ◽  
pp. 1075-1083 ◽  
Author(s):  
Kashmiri Deka ◽  
Anupam Guleria ◽  
Dinesh Kumar ◽  
Jayeeta Biswas ◽  
Saurabh Lodha ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Contrast Enhancement ◽  
Resonance Imaging ◽  
Mr Images ◽  
Dual Mode ◽  
Janus Nanoparticles

MnFe2O4@MnO Janus nanoparticles efficiently enhances contrast of both T1 and T2 based MR Images.

Sign in / Sign up

Export Citation Format

Share Document