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With the development of MRI-guided focused ultrasound (FUS), there is an ongoing renewal of interest for ablative procedures as a surgical option for tremor disorders. One of the main criticisms regarding FUS thalamotomy is the potential recurrence of tremor symptoms during follow-up. In case of tremor reappearance, repeating the ultrasound ablation may represent a reasonable option. However, tremor is often perceived as a highly disabling condition and patients may be reluctant to undergo the same unsuccessful treatment again. In this context, few data are available about the feasibility of Deep Brain Stimulation (DBS) in case of tremor recurrence after FUS. Moreover, concerns exist that FUS lesioning could preclude or limit the effectiveness of future DBS. Here we present the case of a 73-year-old right-handed man with a disabling, right-hand, mixed tremor recurring after initial successful FUS thalamotomy and that was properly managed in the end with thalamic Deep Brain Stimulation. Our case suggests that DBS and FUS thalamotomy are not mutually exclusive, but rather they represent complementary tools in the surgical approach to tremor.
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http://dx.doi.org/10.1016/j.jocn.2019.07.035 | DOI Listing |
Brain
December 2024
Neuroimmunology Program, Fundació Clínic per la Recerca Biomèdica - Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona 08036, Spain.
Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a disorder mediated by autoantibodies against the GluN1 subunit of NMDAR. It occurs with severe neuropsychiatric symptoms that often improve with immunotherapy. Clinical studies and animal models based on patients' antibody transfer or NMDAR immunization suggest that the autoantibodies play a major pathogenic role.
View Article and Find Full Text PDFEpilepsia
December 2024
Department of Neurology, University of Virginia, Charlottesville, Virginia, USA.
Objective: Focal cortical seizures travel long distances from the onset zone, but the long-distance propagation pathways are uncertain. In vitro and in vivo imaging techniques have investigated the local spread of seizures but did not elucidate long-distance spread. Furthermore, classical studies in slices suggested seizure spread locally along deep cortical layers, whereas more recent in vivo imaging studies posit a role for superficial cortical layers in local spread.
View Article and Find Full Text PDFJ Blood Med
December 2024
Department of Internal Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Gallbladder adenocarcinoma has a high mortality rate, with approximately 1.7% cancer-related deaths worldwide. Cancer-associated thrombosis (CAT), including deep vein thrombosis (DVT), can significantly increase the risk of mortality within cancer patients, especially in pancreatic, brain, and intra-abdominal cancers, as well as in advanced and metastatic cancers.
View Article and Find Full Text PDFEur J Radiol Open
December 2024
Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls-University Tuebingen, Tuebingen D-72076, Germany.
Unlabelled: Diagnostic accuracy and therapeutic decision-making for IDH-mutant gliomas in tumor board reviews are based on MRI and multidisciplinary interactions.
Materials And Methods: This study explores the feasibility of deep learning-based reconstruction (DLR) in MRI for IDH-mutant gliomas. The research utilizes a multidisciplinary approach, engaging neuroradiologists, neurosurgeons, neuro-oncologists, and radiotherapists to evaluate qualitative aspects of DLR and conventional reconstructed (CR) sequences.
Neurooncol Adv
December 2024
Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Background: Fully automatic skull-stripping and tumor segmentation are crucial for monitoring pediatric brain tumors (PBT). Current methods, however, often lack generalizability, particularly for rare tumors in the sellar/suprasellar regions and when applied to real-world clinical data in limited data scenarios. To address these challenges, we propose AI-driven techniques for skull-stripping and tumor segmentation.
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