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Cognitive Changes of IDH-mutant and IDH-wildtype Glioma Patients After Chemoradiotherapy With Radiation Dose to the Resting State Networks
Sponsor: Washington University School of Medicine
Summary
Neurocognitive decline after radiation therapy is one of the most concerning complication for brain tumor patients and neuro-oncologists. There are increasing technological advances in evaluating the brain's neural connections responsible for the neurocognitive processes. For example, resting-state functional MRI (RS-fMRI) is an advanced imaging method that can identify the spatiotemporal distribution of the intrinsic functional networks within the brain (also referred to as resting state networks (RSNs) without requiring specific tasks by the imaged participants. Although there is evidence that shows that avoidance of specific neural networks during radiation therapy planning can lead to improved preservation of neurocognitive function afterward, it is important to first identify the most vulnerable and clinically relevant RSNs that correspond to cognitive decline. In this study, the investigators will prospectively perform RS-fMRI and neurocognitive evaluation using the NIH Toolbox Cognitive Battery (NIHTB-CB) on patients with gliomas before and after radiation therapy to generate preliminary data on what RSNs are most vulnerable to radiation injury leading to cognitive decline. A benign brain tumor cohort will also be followed to serve as control. The investigators will also evaluate the feasibility of incorporating RS-fMRI with radiation planning software for treatment optimization.
Official title: A Longitudinal Study to Correlate Cognitive Changes of IDH-mutant and IDH-wildtype Glioma Patients After Chemoradiotherapy With Radiation Dose to the Resting State Networks
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
96
Start Date
2020-09-02
Completion Date
2033-10-31
Last Updated
2026-02-02
Healthy Volunteers
No
Conditions
Interventions
RS-fMRI
Advanced imaging method that can identify the spatiotemporal distribution of the intrinsic functional networks within the brain
Locations (1)
Washington University School of Medicine
St Louis, Missouri, United States