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Glioma clinical trials

View clinical trials related to Glioma.

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NCT ID: NCT04264143 Completed - Clinical trials for Diffuse Intrinsic Pontine Glioma

CED of MTX110 Newly Diagnosed Diffuse Midline Gliomas

Start date: March 10, 2020
Phase: Phase 1
Study type: Interventional

The blood brain barrier (BBB) prevents some drugs from successfully reaching the target source. Convection-Enhanced Delivery (CED) is a method of direct infusion of drugs under controlled pressure to the tumor that may reduce systemic side effects of drugs in the patient. The purpose of this Phase I study is to find the maximum tolerated dose of MTX110 (a water-soluble Panobinostat nanoparticle formulation) and Gadolinium that can be given safely in children with newly diagnosed diffuse midline gliomas. All patients enrolled in the study will receive infusion of MTX110 and Gadolinium delivered with a pump directly into the tumor over 9-11 days.

NCT ID: NCT04254419 Not yet recruiting - High Grade Glioma Clinical Trials

Intra-tumoral Injection of Natural Killer Cells in High-Grade Gliomas

NK HGG
Start date: December 2023
Phase: Phase 1
Study type: Interventional

Patients will receive 3 cycles of NK cell infusions over 12 weeks. Each cycle will consist of 1 infusion per week for 3 weeks, followed by a rest week (week 4). Dose will be escalated in an inter-patient stepwise fashion consisting of 4 dose levels.

NCT ID: NCT04253873 Recruiting - High-grade Gliomas Clinical Trials

Clinical Study of Apatinib Combined With Temozolomide in the Treatment of Uncontrolled or Repeated High-grade Gliomas

Start date: December 16, 2019
Phase: Phase 2
Study type: Interventional

Gliomas are the most common malignant tumors of the central nervous system and are highly invasive. Gliomas account for one-third of central nervous system tumors in adults and children. Interstitial astrocytomas and glioblastomas are also called high-grade gliomas, accounting for 77.5% of all gliomas.

NCT ID: NCT04233788 Recruiting - Glioma Clinical Trials

Metabolic Characterization of Space Occupying Lesions of the Brain

FASTMRSI
Start date: September 1, 2021
Phase:
Study type: Observational

High field MR-technologies are expected to boost metabolic spectroscopic imaging (MRSI), but also CEST-MRI. This is due to the fact that increased SNR is available which can be used to increase the spatial resolution of all sequences, or reduction of measurement times. Recent findings has shown that MRSI can be used to evaluate the isocitrate dehydrogenase (IDH) status of gliomas, a brain tumor type which is most often diagnosed in humans. Patients with IDH-mutated gliomas have a much longer survival time that IDH-wildtype. In IDH-mutated gliomas the substance 2-hydroxy-glutarate (2HG) is found, whereas in IDH-wildtype gliomas it is not. The underlying trial aims to measure 2HG directly with different MRSI sequences at 3 Tesla (3T) and 7 Tesla (7T) magnetic field strength. Apart from MRSI-techniques for IDH-typing it has been shown that CEST-imaging can also be performed to determine the IDH-status of gliomas. A total of 75 patients and 50 healthy controls will be examined in this study to evaluate the most accurate method for pre-operative IDH-status determination.

NCT ID: NCT04222309 Suspended - Glioblastoma Clinical Trials

Laparoscopically Harvested Omental Free Tissue Autograft to Bypass the Blood Brain Barrier (BBB) in Human Recurrent Glioblastoma Multiforme (rGBM)

Start date: January 6, 2020
Phase: Phase 1
Study type: Interventional

This single center, single arm, open-label, phase I study will assess the safety of a laparoscopically harvested omental free flap into the resection cavity of recurrent glioblastoma multiforme (GBM) patients. All participants included in the study will undergo standard surgical resection for diagnosed recurrent GBM. Following the resection, the surgical cavity will be lined with a laparoscopically harvested omental free flap. The participant's dura, bone and scalp will be closed as is customary. The participant will be followed for side effects within 72 hours, 7 days, 30 days, 90 days and 180 days. Risk assessment will include seizure, stroke, infection, tumor progression, and death.

NCT ID: NCT04220892 Withdrawn - High Grade Glioma Clinical Trials

Pilot Study of Pembrolizumab Combined With Pemetrexed or Abemaciclib for High Grade Glioma

Start date: July 8, 2020
Phase: Early Phase 1
Study type: Interventional

The purpose of this study is to evaluate any preliminary evidence of anticancer activity of pembrolizumab combined with either pemetrexed or abemaciclib when used following surgery and before standard therapy with radiation and temozolomide in patients with newly diagnosed high grade glioma. Additional aims of the study are to: - Find out the side effects (good and bad) of pembrolizumab combined with pemetrexed or abemaciclib; - • Evaluate tumor characteristics by collecting brain tumor tissue samples. - Measure the amount of pembrolizumab, pemetrexed, and/or abemaciclib that gets in the body by collecting blood and cerebrospinal fluid. - Look at biomarkers (biochemical features that can be used to measure the progress of disease or the effects of a drug) in blood and cerebrospinal fluid if available.

NCT ID: NCT04220424 Recruiting - Glioma Clinical Trials

Glioma Patients Registry Based on Radiological, Histopathological and Genetic Analysis

Start date: November 1, 2018
Phase:
Study type: Observational [Patient Registry]

This prospective study aims to collect clinical, radiological, pathological, molecular and genetic data including detailed clinical parameters, MR and histopathology images, molecular pathology and genetic sequencing data. By leveraging artificial intelligence, this registry seeks to construct and refine algorithms that able to predict molecular pathology or clinical outcomes of glioma patients based on MR images and histopathology images, as well as revealing related mechanisms from genetic perspective.

NCT ID: NCT04217044 Recruiting - Glioma Clinical Trials

Histopathology Images Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence

Start date: January 1, 2017
Phase:
Study type: Observational [Patient Registry]

This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and images of HE slices in primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine histopathology image based algorithms that are able to predict molecular pathology or subgroups of gliomas.

NCT ID: NCT04217018 Recruiting - Glioma Clinical Trials

MR Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence

Start date: January 1, 2017
Phase:
Study type: Observational [Patient Registry]

This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new MR sequences (T1, T1c, T2, FLAIR, ADC, DTI, PWI, etc) of patients with primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine algorithms that able to predict molecular pathology or subgroups of gliomas.

NCT ID: NCT04216550 Recruiting - Recurrent Glioma Clinical Trials

Prediction of Therapeutic Response of Apatinib in Recurrent Gliomas

Start date: January 1, 2018
Phase:
Study type: Observational [Patient Registry]

Apatinib, also known as YN968D1, is a small-molecule tyrosine kinase inhibitor (TKI) that selectively binds to and inhibits vascular endothelial growth factor receptor 2 (VEGFR-2). This study aims to collect clinical, radiological and histopathology imaging including detailed radiological data, survival data, clinical parameters, molecular pathology and images of HE slices in patients with recurrent gliomas whose are treated with Apatinib, for evaluating the efficacy and safety of Apatinib. Moreover, by leveraging artificial intelligence, this study seeks to construct and refine MR and histopathology imaging based algorithms that are able to predict the responses to Apatinib of patients with recurrent gliomas.