Background: MRI changes due to status epilepticus (SE) often suggest a combination of cytotoxic and vasogenic edema, but it is unclear why only certain patients have MRI changes.
Objectives: To determine the frequency of MRI changes due to SE and the associated patient characteristics.
Methods: We reviewed records for demographics, medical history, and MRI changes attributable to seizures of all patients admitted to Brigham and Women's Hospital or Massachusetts General Hospital for SE from 1/1999 to 7/2003 and who had MRI during admission.
Results: Ten (11.6%) of the eighty-six patients identified had MRI abnormalities likely due to seizures. Four, two with pre-existing epilepsy and two with extratemporal structural lesions, had focally increased signal on T2 and diffusion-weighted imaging (DWI) in the hippocampus ipsilateral to the seizure focus. One, with elevated levels of clozapine, had increased signal on T2 weighted images and variably restricted diffusion in the splenium. Five had gyral distribution of restricted diffusion and increased signal on T2 weighted images; they had complex medical comorbidities and possible hypoperfusion or hypoxia associated with SE.
Conclusions: Among patients with SE who had MRI changes, those with previous epilepsy or extratemporal structural lesions showed increased diffusion in the hippocampus and may have selective hippocampal vulnerability to seizure-induced hyperexcitability. Patients with hyperintense signal in the cortical gray matter had episodes of possible hypoperfusion or hypoxia.
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http://dx.doi.org/10.1016/j.seizure.2008.07.004 | DOI Listing |
Neurol Neuroimmunol Neuroinflamm
March 2025
Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin.
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View Article and Find Full Text PDFElectromagn Biol Med
January 2025
Department of Mathematics, University of Gour Banga, Malda, India.
In cardiovascular research, electromagnetic fields generated by Riga plates are utilized to study or manipulate blood flow dynamics, which is particularly crucial in developing treatments for conditions such as arterial plaque deposition and understanding blood behavior under varied flow conditions. This research predicts the flow patterns of blood enhanced with gold and maghemite nanoparticles (gold-maghemite/blood) in an electromagnetic microchannel influenced by Riga plates with a temperature gradient that decays exponentially, under sudden changes in pressure gradient. The flow modeling includes key physical influences like radiation heat emission and Darcy drag forces in porous media, with the flow mathematically represented through unsteady partial differential equations solved using the Laplace transform (LT) method.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Coating biological membranes onto biomimetic nanocarriers improves biocompatibility, prolongs circulation, and enhances targeted delivery for cancer precision medicine. To better understand the biodistribution profiles of these biomimetic nanosystems, molecular imaging techniques, including optical imaging, radionuclide imaging, magnetic resonance imaging, and ultrasound imaging, have been widely employed for in vivo tracking and dynamic imaging. Here in this review, we delve into the profound role of these imaging modalities in visualizing changes in the tumor microenvironment, particularly in monitoring oxygen consumption and immune response dynamics, highlighting their potential to improve cancer therapies.
View Article and Find Full Text PDFPhysiol Rep
February 2025
Motion and Exercise Science, University of Stuttgart, Stuttgart, Germany.
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training.
View Article and Find Full Text PDFNeurosurgery
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Background And Objectives: Understanding and managing seizure activity is crucial in neuro-oncology, especially for highly epileptogenic lesions like isocitrate dehydrogenase (IDH)-mutant gliomas. Advanced MRI techniques such as diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) have been used to describe microstructural changes associated with epilepsy. However, their role in tumor-related epilepsy (TRE) remains unclear.
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