View clinical trials related to Brain Lesion.
Filter by:The purpose of the study is to determine whether treatment with pre-operative hypofractionated stereotactic radiosurgery followed by surgery will improve time to local failure (TTLF) compared to the current standard of care.
The primary purpose of this study is to assess the feasibility, safety and reliability of the use of handheld dynamometry in evaluating intraoperative motor function for patients undergoing awake craniotomy for the resection of brain lesions located within or adjacent to the motor cortex.
Readmissions increasingly serve as a metric of hospital performance, inviting quality improvement initiatives in both medicine and surgery. Recently, a readmission reduction program in the United States was associated with significantly shorter length of stay, earlier discharge, and reduced 30-day readmission after elective neurosurgery. These results underscore the importance of patient education and surveillance after hospital discharge, and it would be beneficial to test whether the same approach yields beneficial results in a different health system, the NHS. In this study, the investigators will replicate the Transitional Care Program (TCP) published by Robertson et al.(Journal of Neurosurgery 2017) with the goal of decreasing length of stay, improving discharge efficiency, and reducing readmissions in neurosurgical patients by optimizing patient education and post-discharge surveillance.
Two groups of subjects will be constitute: (i) patients with circumscribed brain injury (including stroke, vascular malformations, tumor or circumscribed infectious lesions) or degenerative/developmental disorders and selective cognitive disorders; (ii) healthy control subjects. The objective of this project is to evaluate specific neuropsychological deficits and apply current brain imaging techniques (anatomical, diffusion, functional, magnetic stimulation) to patients suffering from these cognitive deficits due to brain damage, in order to elucidate the brain mechanisms underlying these deficits.
The goal of this clinical research study is to learn if using advanced magnetic resonance imaging (AMRI) will improve the targeting of brain tumor needle biopsies compared to the standard targeting techniques. Researchers also want to learn how the results of the images and biopsies compare to each other to try to improve the way researchers and radiologists use AMRI images. This is an investigational study. The perfusion scan is not FDA approved or commercially available. It is currently only being used in research. There will be no cost to you for the advanced MRI, additional anesthesia, special pathology stains, and/or gene testing for this study. Up to 50 patients will take part in this study. All will be enrolled at MD Anderson.
Prematurely born children are at higher risk of cognitive impairments and behavioral disorders than full-term children. There is growing evidence of significant volumetric and shape abnormalities in subcortical structures of premature neonates, which may be associated to negative long-term neurodevelopmental outcomes. The general objective is to look directly at the long-term neurodevelopmental implications of these neonatal subcortical structures abnormalities. Investigators propose to develop biomarkers of prematurity by comparing the morphological and diffusion properties of subcortical structures between preterm, with and without associated brain injuries, and full-term neonates using brain MRI. By combining subcortical morphological and diffusion properties, investigators hypothesize to be able to: (1) delineate specific correlative relationships between structures regionally and differentially affected by normal maturation and different patterns of white matter injury, and (2) improve the specificity of neuroimaging to predict neurodevelopmental outcomes earlier. The specific aims and general methodology are: 1) Build a new toolbox for neonatal subcortical structures analyses that combine a group lasso-based analysis of significant regions of shape changes, a structural correlation network analysis, a neonatal tractography, and tensor-based analysis on tracts; 2) Ascertain biomarkers of prematurity in neonates with different patterns of abnormalities using correlational and connectivity analysis within and between structures features; 3) Assess the predictive potential of subcortical imaging on neurodevelopmental outcomes by correlating neonatal imaging results with long-term neurodevelopmental scores at 9 and 18 months, and 6-8 years, follow-up. In each of these aims, investigators will use advanced neuroimaging analysis developed by their group and collaborator, including multivariate tensor-based morphometry and multivariate tract-based analysis. This application will provide the first complete subcortical network analysis in both term and preterm neonates. In the first study of its kind for prematurity, investigators will use sparse and multi-task learning to determine which of the biomarkers of prematurity at birth are the best predictors of long-term outcome. Once implemented, these methods will be available to compare subcortical structures for other pathologies in newborns and children.