Gliomas are the most common intracranial tumors, featured by a high mortality rate. They represent about 28% of all primary central nervous system (CNS) tumors and 80% of all malignant brain tumors. Cytotoxic chemotherapy is one of the conventional treatments used for the treatment, but it often shows rather limited efficacy and severe side effects on healthy organs, due to the low selectivity of the therapy for malignant cells and to a limited access of the drug to the tumor site, caused by the presence of the Blood-Brain Barrier. In order to resolve these limitations, recently an Erythro-Magneto-HA-Virosome (EMHV) drug delivery system (DDS), remotely controllable through an externally applied magnetic field, has been proposed. To accurately localize the EMHV at the target area, a system able to generate an adequate magnetic field is necessary. In this framework, the objective of this paper was to design and develop a magnetic helmet for the localization of the proposed EMHV DDS in the brain area. The results demonstrated, through the implementation of therapeutic efficacy maps, that the magnetic helmet designed in the study is a potential promising magnetic generation system useful for studying the possible usability of the magnetic helmet in the treatment of glioma and possibly other CNS pathologies by EMHV DDS.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1088/2057-1976/ab89f1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Biomarkers.
Alzheimers Dement
December 2024
University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Background: The common marmoset (Callithrix jacchus) is an important animal model in neuroscience and neurological diseases, presenting primate-specific evolutionary features such as an expanded frontal cortex. We established a new consortium with funding support from the National Institute on Aging to generate, characterize, and validate MArmosets as Research MOdels of AD (MARMO-AD). This consortium develops and studies gene-edited marmoset models carrying genetic risk for AD, comparing them against wild-type aging marmosets from birth throughout their lifespan, using non-invasive longitudinal assessments.
View Article and Find Full Text PDFAlzheimer's Imaging Consortium.
Alzheimers Dement
December 2024
University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Background: The common marmoset (Callithrix jacchus) is an important animal model in neuroscience and neurological diseases, presenting primate-specific evolutionary features such as an expanded frontal cortex. We established a new consortium with funding support from the National Institute on Aging to generate, characterize, and validate MArmosets as Research MOdels of AD (MARMO-AD). This consortium develops and studies gene-edited marmoset models carrying genetic risk for AD, comparing them against wild-type aging marmosets from birth throughout their lifespan, using non-invasive longitudinal assessments.
View Article and Find Full Text PDFAn Open Access Resource for Marmoset Neuroscientific Apparatus.
bioRxiv
November 2024
Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Article Synopsis
- The common marmoset has become increasingly popular in neuroscience research over the past 20 years, especially for studying human brain diseases, but marmoset-specific research tools are often limited and must be created within labs.
- A team has designed and tested various imaging and measurement techniques for studying marmosets, including MRI, PET, CT, and electrophysiology, and has made these designs publicly accessible to help ease the burden on researchers.
- They provide numerous computer-aided design (CAD) files, software, and resources, including tools for neuroimaging and experimental stimuli, through the Marmoset Brain Connectome website to support further advancements in marmoset neuroscience.
Cross-modality image translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla using Generative Adversarial Networks.
medRxiv
October 2024
Department of Bioengineering, University of Pittsburgh, Pennsylvania, United States.
The rapid advancements in magnetic resonance imaging (MRI) technology have precipitated a new paradigm wherein cross-modality data translation across diverse imaging platforms, field strengths, and different sites is increasingly challenging. This issue is particularly accentuated when transitioning from 3 Tesla (3T) to 7 Tesla (7T) MRI systems. This study proposes a novel solution to these challenges using generative adversarial networks (GANs)-specifically, the CycleGAN architecture-to create synthetic 7T images from 3T data.
View Article and Find Full Text PDFLarge improvement in RF magnetic fields and imaging SNR with whole-head high-permittivity slurry helmet for human-brain MRI applications at 7 T.
Magn Reson Med
March 2025
Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Article Synopsis
- The study aimed to enhance MRI imaging of the human brain using a helmet-shaped container filled with high-permittivity material (HPM) slurry to boost RF coil sensitivity and signal-to-noise ratio (SNR).
- Using electromagnetic simulations and in vivo experiments at 7 T, researchers tested various geometries of RF coil arrays combined with the HPM slurry helmet.
- Results indicated significant improvements in SNR and RF coil sensitivity, with in vivo tests showing a 14.5% enhancement in SNR, suggesting that the helmet design could greatly improve MRI quality for brain imaging.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!