scholarly journals Systemic inflammatory response in infants with craniostenosis sedated with propofol

2021 ◽  
Vol 11 (3) ◽  
pp. 297-306
Author(s):  
Viktoriia I. Gurskaya ◽  
Vadim P. Ivanov ◽  
Vitalii Yu. Novikov ◽  
Natalia V. Draygina ◽  
Irina A. Savvina
Keyword(s):  
Blood Plasma ◽  
Brain Mri ◽  
Short Exposure ◽  
Intravenous Sedation ◽  
Resonance Imaging ◽  
Intravenous Anesthesia ◽  
Tumor Necrosis Factors ◽  
Before And After ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

AIM: This study aimed to investigate the possible effect of intravenous anesthesia (sedation) with propofol on the levels of several cytokines (interleukin [IL]-6, IL-8, IL-10, and tumor necrosis factors-) and S100B protein in the blood plasma of children aged 1 year with craniostenosis. MATERIALS AND METHODS: Twenty patients aged 112 months diagnosed with non-syndromic forms of craniosynostosis, who underwent magnetic resonance imaging (MRI) of the brain under propofol sedation, were classified according to ASA I-II class. Peripheral blood sampling was performed before and after the drug administration, followed by laboratory analysis. RESULTS: A significant increase was found in the serum level of IL-6 (p = 0.004) when intravenous sedation with propofol was used for 29 4.93 min. CONCLUSION: Short exposure of children aged 1 year with craniostenosis to hypnotic propofol during brain MRI significantly increased the level of the pro-inflammatory cytokine IL-6 in the blood plasma.

scholarly journals Concurrence of Juvenile Idiopathic Arthritis and Multiple Sclerosis

2011 ◽  
Vol 2011 ◽  
pp. 1-2
Author(s):  
Ben Abdelghani Kaouther ◽  
Souabni Leila ◽  
Belhadj Salwa ◽  
Zakraoui Leith
Keyword(s):  
Multiple Sclerosis ◽  
Juvenile Idiopathic Arthritis ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Brain Mri ◽  
Resonance Imaging ◽  
Cerebral Magnetic Resonance Imaging ◽  
Need To Evaluate ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

We report a 21-year-old female patient known to have Juvenile idiopathic arthritis (JIA) who later developed multiple sclerosis (MS). The disease was documented on the brain and cerebral magnetic resonance imaging (MRI) and the visual evoked potential. Our case emphasizes the need to evaluate the symptoms and brain MRI carefully. The concurrence of MS and JIA is uncommon. The possible relationship between the 2 diseases was discussed.

Outpatient Procedural Sedation of Patients With Autism Spectrum Disorders for Magnetic Resonance Imaging of the Brain Using Propofol

2018 ◽  
Vol 33 (5) ◽  
pp. 313-319 ◽  
Author(s):  
Pradip P. Kamat ◽  
Marie K. Karaga ◽  
Benjamin L. Wisniewski ◽  
Courtney E. McCracken ◽  
Harold K. Simon ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Mri ◽  
Autism Spectrum ◽  
Resonance Imaging ◽  
Serious Adverse Events ◽  
Children With Asd ◽  
Spectrum Disorders ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

Objective: To quantify the number of personnel, time to induce and complete sedation using propofol for outpatient magnetic resonance imaging (MRI) of the brain, and the frequency of serious adverse events (SAEs) in children with autism spectrum disorder (ASD) compared with children without ASD. Results: Baseline characteristics were the same between both groups. Overall sedation success was 99%. Although most children were sedated with ≤3 providers, 10% with ASD needed ≥4 providers (P = .005). The duration of sedation was less for the ASD group compared with the non-ASD group (49 minutes vs 56 minutes, P = .005). There was no difference in SAE frequency between groups (ASD 14% vs non-ASD 16%, P = .57). Conclusion: Children with ASD can be sedated for brain MRI using propofol with no increased frequency of SAEs compared with children without ASD. Sedation teams should anticipate that 10% of children with ASD may need additional personnel before propofol induction.

scholarly journals Transient Periictal Brain Imaging Abnormality in a Saudi Patient with Probable Celiac Disease Epilepsy and Occipital Calcification Syndrome

2019 ◽  
Vol 2019 ◽  
pp. 1-5
Author(s):  
Soha Khan ◽  
Asma AlNajjar ◽  
Abdullah Alquaydheb ◽  
Shahpar Nahrir
Keyword(s):  
Celiac Disease ◽  
Energy Demand ◽  
Brain Mri ◽  
Brain Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Pump Failure ◽  
Mediterranean Countries ◽  
Apparent Diffusion ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

Celiac disease epilepsy and occipital calcification (CEC) syndrome is a rare, emerging disease first described in 1992. To date, fewer than 200 cases have been reported worldwide. CEC syndrome is generally thought to be a genetic, noninherited, and ethnically and geographically restricted disease in Mediterranean countries. However, we report the first ever case of probable CEC in a Saudi patient. Furthermore, the patient manifested a magnitude of brain magnetic resonance imaging (MRI) signal abnormalities during the periictal period which, to the best of our knowledge, has never been described in CEC. The brain MRI revealed diffusion-weighted imaging (DWI) restriction with a concordant area of apparent diffusion coefficient (ADC) hypointensity around bilateral occipital area of calcification. An imbalance between the heightened energy demand during ictal phase of the seizure and unadjusted blood supply may have caused an electric pump failure and cytotoxic edema, which then led to DWI/ADC signal alteration.

Segmentation and clustering in brain MRI imaging

2018 ◽  
Vol 30 (1) ◽  
pp. 31-44 ◽  
Author(s):  
Golrokh Mirzaei ◽  
Hojjat Adeli
Keyword(s):  
Grey Matter ◽  
State Of The Art ◽  
Brain Mri ◽  
Brain Regions ◽  
Mri Imaging ◽  
Resonance Imaging ◽  
Brain Images ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain ◽  
Different Parts

AbstractClustering is a vital task in magnetic resonance imaging (MRI) brain imaging and plays an important role in the reliability of brain disease detection, diagnosis, and effectiveness of the treatment. Clustering is used in processing and analysis of brain images for different tasks, including segmentation of brain regions and tissues (grey matter, white matter, and cerebrospinal fluid) and clustering of the atrophy in different parts of the brain. This paper presents a state-of-the-art review of brain MRI studies that use clustering techniques for different tasks.

scholarly journals Cerebral X-linked adrenoleukodystrophy: follow-up with magnetic resonance imaging

2006 ◽  
Vol 64 (4) ◽  
pp. 1033-1035 ◽  
Author(s):  
Emerson L. Gasparetto ◽  
Juliana Mecunhe Rosa ◽  
Taísa Davaus ◽  
Arnolfo de Carvalho Neto
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Mri ◽  
Resonance Imaging ◽  
Mri Findings ◽  
Magnetic Resonance Imaging Mri ◽  
One Year ◽  
Occipital Lobes ◽  
The Brain

OBJECTIVE: To report a case of childhood cerebral X-linked adrenoleukodystrophy (X-ADL), emphasizing the magnetic resonance imaging (MRI) findings at initial evaluation and at the follow-up. CASE REPORT: Five year-old boy, who was asymptomatic, presented with diagnosis of X-ADL for MRI evaluation. The initial brain MRI showed a focal area of enhancement at the splenium of the corpus calosum. One year later, the follow-up MRI showed a progression of the corpus calosus lesion, as well as other lesions in the parietal and occipital lobes. CONCLUSION: The brain MRI follow-up of patients with X-ADL is important to show the progression of the lesions.

Brain MRI in Inherited Metabolic Diseases of Adulthood

2016 ◽  
Author(s):  
Alessandro Burlina ◽  
Renzo Manara
Keyword(s):  
Magnetic Resonance Imaging ◽  
Metabolic Diseases ◽  
Brain Mri ◽  
Brain Magnetic Resonance Imaging ◽  
Diagnostic Process ◽  
Resonance Imaging ◽  
Inherited Metabolic Diseases ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

Brain magnetic resonance imaging (MRI) is an important tool to investigate inherited metabolic diseases in adulthood. In the present chapter the major neuroradiological findings that brain MRI can provide to adult metabolic clinicians will be presented, classified according to white and gray matter involvement.The role of brain MRI in the diagnostic process and clinical monitoring of specific inherited metabolic affecting the brain will be examined.

scholarly journals A Reliable and an Efficient Approach for Diagnosis of Brain Tumor Using Transfer Learning

2021 ◽  
Vol 14 (1) ◽  
pp. 283-293
Author(s):  
Sarika A Panwar ◽  
Mousami V Munot ◽  
Suraj Gawande ◽  
Pallavi S Deshpande
Keyword(s):  
Brain Tumor ◽  
Transfer Learning ◽  
Brain Mri ◽  
Discriminative Power ◽  
Resonance Imaging ◽  
Medical Field ◽  
World Brain ◽  
Magnetic Resonance Imaging Mri ◽  
Fully Connected ◽  
The Brain

Introduction: The World Brain Tumor Day is seen on eighth June, in a year. Despite exhaustive research in the medical field, the prevalence of this deadly disease is increasing globally with over new 28,000 braintumor cases being reported annually, in India alone. Recent advancements in the field of machine learning facilitate minimally invasive, efficient and reliable procedures for the diagnosis of Brain tumor. Objective: This research intends to design and devlop a reliable framework for accurate diagnosis of brain tumor mainly meningioma type, gliomatype and pituitary cerebrum tumor utilizing Magnetic Resonance Imaging (MRI), one of the most mainstream non-obtrusive procedure Methods: In the proposed system, pre-trained AlexNet is used to classify meningioma, glioma and pituitary brain tumor. The concept of transfer learning is applied using AlexNet for extracting the features from brain MRI images.The AlexNet contains eight layers in which the first five are convolution layer and the remaining three are fully connected layers. The last layer is a softmax layer which gets the output from fully connected layers. The ReLU non-linearity is applied to the output of every convolution and fully connected layer. The idea of transfer learning is applied utilizing AlexNet for computing thefeatures from brain MRI pictures. The AlexNet contains eight layers in which the initial five are convolution layers and the staying three layers are fully connected layers. a softmax is the last layer , which is feeded by the fully connected layers. The ReLUactivation function is applied to the output of convolution layer and fully connectedlayer Result: The proposed system framework recorded the best order precision of 100 % to classify the brain tumor when validated using a practical dataset. Conclusion: The proposed work presents accurate and automatic brain tumor classification using transfer learning. The features extracted using AlexNet has proven to be efficient in obtaining good discriminative power in diagnosis of brain tumor

scholarly journals Cinematic rendering of a burst sagittal suture caused by an occipito-frontal gunshot wound

2021 ◽  
Author(s):  
Dominic Gascho ◽  
Michael J. Thali ◽  
Rosa M. Martinez ◽  
Stephan A. Bolliger
Keyword(s):  
Gunshot Wound ◽  
Three Dimensional ◽  
The Novel ◽  
Sagittal Suture ◽  
Resonance Imaging ◽  
Cinematic Rendering ◽  
Reconstruction Methods ◽  
Dimensional Reconstruction ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

AbstractThe computed tomography (CT) scan of a 19-year-old man who died from an occipito-frontal gunshot wound presented an impressive radiating fracture line where the entire sagittal suture burst due to the high intracranial pressure that arose from a near-contact shot from a 9 mm bullet fired from a Glock 17 pistol. Photorealistic depictions of the radiating fracture lines along the cranial bones were created using three-dimensional reconstruction methods, such as the novel cinematic rendering technique that simulates the propagation and interaction of light when it passes through volumetric data. Since the brain had collapsed, depiction of soft tissue was insufficient on CT images. An additional magnetic resonance imaging (MRI) examination was performed, which enabled the diagnostic assessment of cerebral injuries.

scholarly journals Preoperative measurements on MRI in Chiari 1 patients fail to predict outcome after decompressive surgery

2021 ◽  
Author(s):  
Miro-Pekka Jussila ◽  
Juho Nissilä ◽  
Minna Vakkuri ◽  
Päivi Olsén ◽  
Jaakko Niinimäki ◽  
...  
Keyword(s):  
Surgical Outcomes ◽  
University Hospital ◽  
Resonance Imaging ◽  
Surgical Decision ◽  
Postoperative Mri ◽  
Before And After ◽  
Magnetic Resonance Imaging Mri ◽  
Surgical Decision Making ◽  
Mri Evaluation ◽  
Outcome Of Surgery

Abstract Background The purpose of our study was to research the parameters of magnetic resonance imaging (MRI) that would predict the outcome of surgery in patients with Chiari 1 malformation (CM1) and to evaluate changes in MRI parameters after surgery. Methods Fifty-one patients (19 children, 13 adolescents, and 19 adults) operated on due to CM1 in Oulu University Hospital between 2004 and 2018 were evaluated. Seventeen parameters were measured from the preoperative MRI and 11 from the postoperative MRI. The correlations between the MRI parameters and the clinical variables before and after surgery were analyzed. Results The majority (88.2%) of the patients had favorable surgical outcomes. Postoperatively, subjective symptoms improved in 88.6% of the patients and syringomyelia in 81.8%. The location of the cerebellar tonsils, when measured in relation to the C2 synchondrosis or the end plate, postoperatively moved cranially in 51.0% (n = 26), did not change in 27.4% (n = 14), and moved caudally in 21.6% (n = 11) of the patients. However, neither the location of the tonsils nor any other parameters measured from pre- or postoperative MRI correlated with the patients’ symptoms or surgical outcomes. Conclusions No specific parameters on preoperative MRI evaluation were predictive of the outcome of surgery, emphasizing clinical examination in surgical decision-making. Furthermore, the postoperative MRI parameters did not correlate with the surgical outcomes. Thus, routine postoperative imaging is suggested only for patients with preoperatively diagnosed syringomyelia or worsening of symptoms.

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