Results 31 to 40 of about 102,328 (249)
Application of machine learning in neuroradiology (literature review)
Українська Інтервенційна Нейрорадіологія та ХірургіяNeuroradiology is a branch of medical imaging focused on diagnosing diseases of the brain, spine, and nervous system using radiological methods (computed tomography, magnetic resonance imaging, positron emission tomography, etc.).
S.V. Konotopchyk +8 more
doaj +1 more source
Diagnostics, 2021 Objective: To study the efficacy of middle meningeal artery (MMA) embolization for the treatment of chronic subdural hematoma (SDH) and characterize its post-embolization volumetric resolution.
Ambooj Tiwari +8 more
doaj +1 more source
Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz +3 more
wiley +1 more source
Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle +11 more
wiley +1 more source
Brain Health in Neuroradiology
Clinical and Translational NeuroscienceNeuroradiology, as a modern branch of the neurosciences and radiological sciences, has an impact on global health, particularly on brain health.
Karl-Olof Lövblad +6 more
doaj +1 more source
Smart Visualization of Medical Images as a Tool in the Function of Education in Neuroradiology
Diagnostics, 2022 The smart visualization of medical images (SVMI) model is based on multi-detector computed tomography (MDCT) data sets and can provide a clearer view of changes in the brain, such as tumors (expansive changes), bleeding, and ischemia on native imaging (i.
Aleksandar Simović +3 more
doaj +1 more source
Focal Spot, Fall/Winter 1989 [PDF]
, 1989 https://digitalcommons.wustl.edu/focal_spot_archives/1053/thumbnail ...
core +1 more source
, 2016 We performed a comprehensive literature search in the PubMed and Scopus data bases on blister-like ...
CANNIZZARO, DELIA +4 more
core +1 more source
Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas +39 more
wiley +1 more source
Pesquisa Veterinária Brasileira, 2021 : The purpose of this study was to evaluate the effects of lumbar myelography on subarachnoid pressure, cardiorespiratory parameters and pressure-volume index in sheep. Eight sheep were evaluated.
Bruno W. Minto +7 more
doaj +1 more source