The objective of this study was to investigate the prevalence and clinical characteristics of mesial temporal sclerosis as diagnosed by brain magnetic resonance imaging in children. A total of 390 consecutive brain magnetic resonance imaging studies in children were reviewed for evidence of mesial temporal sclerosis. Subsequently, the magnetic resonance imaging scans and charts of patients with mesial temporal sclerosis were reviewed and their clinical details were evaluated. The magnetic resonance imaging studies had been performed for multiple indications, including seizures, headache, and developmental problems. In children, the prevalence of mesial temporal sclerosis among all brain magnetic resonance imaging studies was 3.1% (12 of 390 studies) and 12.1% (12 of 99 studies) among all brain magnetic resonance imaging studies performed for seizures. These children all presented with a history of seizure disorder, often had other medical problems, and histopathology (when available) nearly always (5 of 6 patients) confirmed their magnetic resonance imaging diagnosis of mesial temporal sclerosis. The prevalence of mesial temporal sclerosis is low among all pediatric patients who had magnetic resonance imaging brain studies. All our mesial temporal sclerosis patients had clinical seizures; i.e., it was never an "incidental finding". Children with mesial temporal sclerosis often had comorbid conditions, and the diagnosis of mesial temporal sclerosis made by magnetic resonance imaging was accurate when compared with the available histopathology.
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http://dx.doi.org/10.1016/S0887-8994(03)00406-5 | DOI Listing |
JAMA Netw Open
January 2025
Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.
Importance: Baseline cerebral microbleeds (CMBs) and APOE ε4 allele copy number are important risk factors for amyloid-related imaging abnormalities in patients with Alzheimer disease (AD) receiving therapies to lower amyloid-β plaque levels.
Objective: To provide prevalence estimates of any, no more than 4, or fewer than 2 CMBs in association with amyloid status, APOE ε4 copy number, and age.
Design, Setting, And Participants: This cross-sectional study used data included in the Amyloid Biomarker Study data pooling initiative (January 1, 2012, to the present [data collection is ongoing]).
Acta Neurol Belg
January 2025
Department of Radiology, Health Sciences University Gulhane Faculty of Medicine, Ankara, Turkey.
Background: Trigeminal neuralgia is a disease characterized by severe facial pain that significantly reduces patients quality of life. Trigeminal neuralgia is subcategorized as idiopathic, classic or secondary. Magnetic resonance imaging is the basis for classification, but neurophysiological tests are also used.
View Article and Find Full Text PDFJ Biomol NMR
January 2025
Department of Chemistry "Ugo Schiff" and Magnetic Resonance Center (CERM), University of Florence, Florence, Italy.
Intrinsically disordered proteins and protein regions are central to many biological processes but difficult to characterize at atomic resolution. Nuclear magnetic resonance is particularly well-suited for providing structural and dynamical information on intrinsically disordered proteins, but existing NMR methodologies need to be constantly refined to provide greater sensitivity and resolution, particularly to capitalise on the potential of high magnetic fields to investigate large proteins. In this paper, we describe how N-detected 2D NMR experiments can be optimised for better performance.
View Article and Find Full Text PDFBreast Cancer Res Treat
January 2025
Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.
Purpose: Identification of the molecular subtypes in breast cancer allows to optimize treatment strategies, but usually requires invasive needle biopsy. Recently, non-invasive imaging has emerged as promising means to classify them. Magnetic resonance imaging is often used for this purpose because it is three-dimensional and highly informative.
View Article and Find Full Text PDFNeuroinformatics
January 2025
Department of Information Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India.
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.
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