Inflammatory bowel diseases (IBD) represent challenges, both from a diagnostic, and therapeutic point of view. Deep-seated anatomic structures are difficult to assess by ultrasound technique alone. As radiation-free alternative cross-sectional imaging method, magnetic resonance imaging of the intestinal structures is costly and time-consuming. Examination of pediatric patients imply additional considerations: reduction of body motions in younger children and consideration of the most appropriate preparation, and examination technique. The demanding Sellink technique is the only means for appropriately distending the lesser intestine in order to detect small bowel strictures. Oral intake of contrast medium (CM) alone shows its limitations regarding distensibility. The need for intravenous contrast media application needs to be considered, too. Active inflammation of both intestinal wall, and mesentery can be demonstrated accurately. Nevertheless, viable alternatives to CM application is desirable, considering non-negligible adverse reactions. Recent data suggest diffusion weighted imaging might fill this diagnostic gap. Irrespective of sequence technique chosen, bowel movement remains a major obstacle. Antispasmolytics in their function as smooth muscle relaxants help in improving image quality, however, their use in children might be off-label. Optimal preparation for the examination and appropriate imaging technique allow for diagnosing typical patterns of changes in IBD, such as bowel wall thickening, ulcers, mural stratification, strictures, creeping fat, and comb sign, and lymphadenopathy. The article gives a detailed overview of current significance of magnetic resonance imaging pediatric patients suffering from IBD, considering indications, limitations, and safety aspects.
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http://dx.doi.org/10.3748/wjg.v20.i5.1180 | DOI Listing |
Neurol Neuroimmunol Neuroinflamm
March 2025
Department of Neurology with Institute of Translational Neurology, University Hospital 4 Münster, Germany.
Background And Objectives: Levels of activated complement proteins in the CSF are increased in people with multiple sclerosis (MS) and are associated with clinical disease severity. In this study, we determined whether complement activation profiles track with quantitative MRI metrics and liquid biomarkers indicative of disease activity and progression.
Methods: Complement components and activation products (Factor H and I, C1q, C3, C4, C5, Ba, Bb, C3a, C4a, C5a, and sC5b-9) and liquid biomarkers (neurofilament light chain, glial fibrillary acidic protein [GFAP], CXCL-13, CXCL-9, and IL-12b) were quantified in the CSF of 112 patients with clinically isolated syndromes and 127 patients with MS; longitudinal MRIs according to a standardized protocol of the Swiss MS cohort were assessed.
Proc Natl Acad Sci U S A
January 2025
Centre for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain.
A fundamental topological principle is that the container always shapes the content. In neuroscience, this translates into how the brain anatomy shapes brain dynamics. From neuroanatomy, the topology of the mammalian brain can be approximated by local connectivity, accurately described by an exponential distance rule (EDR).
View Article and Find Full Text PDFSci Adv
January 2025
Institute of Molecular Physical Science, ETH Zurich, 8093 Zurich, Switzerland.
Dynamic nuclear polarization (DNP) and emerging quantum technologies rely on the spin transfer in electron-nuclear hybrid quantum systems. Spin transfers might be suppressed by larger couplings, e.g.
View Article and Find Full Text PDFNeurogastroenterol Motil
January 2025
School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Background: Irritable Bowel Syndrome (IBS) is a prevalent condition characterized by dysregulated brain-gut interactions. Despite its widespread impact, the brain mechanism of IBS remains incompletely understood, and there is a lack of objective diagnostic criteria and biomarkers. This study aims to investigate brain network alterations in IBS patients using the functional connectivity strength (FCS) method and to develop a support vector machine (SVM) classifier for distinguishing IBS patients from healthy controls (HCs).
View Article and Find Full Text PDFPLoS One
January 2025
NCCA, Bournemouth University, Poole, United Kingdom.
Medical volume data are rapidly increasing, growing from gigabytes to petabytes, which presents significant challenges in organisation, storage, transmission, manipulation, and rendering. To address the challenges, we propose an end-to-end architecture for data compression, leveraging advanced deep learning technologies. This architecture consists of three key modules: downsampling, implicit neural representation (INR), and super-resolution (SR).
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