RecruitingNCT05864976
Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning
Advancing Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning - a Prospective Study
Sponsor
Washington University School of Medicine
Enrollment
100 participants
Start Date
Dec 6, 2023
Study Type
OBSERVATIONAL
Conditions
Summary
This study is investigating the use of a computer algorithm to analyze scans of the brain before surgery to predict how a person's tumor will respond to treatment.
Eligibility
Min Age: 18 Years
Inclusion Criteria4
- Must have a radiological diagnosis of a lesion in the brain with characteristics consistent with glioblastoma multiforme.
- Must be planning to undergo a pre-operative MRI.
- Must be at least 18 years old.
- Must be able to understand and willing to sign an IRB approved written informed consent document.
Exclusion Criteria2
- Contraindication to MRI.
- Inability to have clinical follow-up (e.g., patient is out of town and will do follow-up elsewhere).
Interventions
DEVICESupport Vector Machine
Machine learning algorithm
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT05864976
Related Trials
Lorlatinib for Newly-Diagnosed High-Grade Glioma With ROS or ALK Fusion
NCT0633389918 locations
Study of Ribociclib and Everolimus in HGG and DIPG or Ribociclib and Temozolomide in DHG, H3G34-mutant
NCT0584325321 locations
Targeted Pediatric High-Grade Glioma Therapy
NCT0583937921 locations
Safety and Efficacy Study in Recurrent or Progressive Grade III or IV IDH1 Mutated Glioma
NCT0270485812 locations
A Feasibility Study to Evaluate the Safety of the TheraSphere Glioblastoma (GBM) Device in Patients With Recurrent GBM
NCT053034679 locations