This pilot clinical trial studies the correlation between the genetics and brain images of patients with newly diagnosed glioblastoma before surgery. The genetic characteristics of a tumor are an important way to predict how well it will respond to treatment. Imaging, using magnetic resonance imaging (MRI), takes detailed pictures of organs inside the body, and may also provide information that helps doctors predict how brain tumors will respond to treatment. If MRI can provide doctors with similar information about the tumor as the tumor's genes, it may be able to be used to predict tumor response in patients whose tumors cannot be reached by surgery or biopsy to get tissue samples.
PRIMARY OBJECTIVES: I. Determine the correlation between the genetic and neuroimaging signature of glioblastoma. II. Determine the correlation between the neuroimaging signature of glioblastoma and prognosis. OUTLINE: Patients undergo MRI before and after gadolinium contrast administration, including 3-dimensional (3D) volumetric T1-weighted sequence, fluid attenuated inversion recovery (FLAIR) sequence, diffusion weighted imaging, and perfusion MRI. Tissue samples are also analyzed for the tumor genetic profile.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Undergo diffusion weighted MRI
Undergo gadolinium-enhanced MRI
Tissue genetic analysis
Correlation between the genetic and neuroimaging signature of glioblastoma and prognosis
The average DK parameter and CBV parameter will be compared between classes 1 and 2 based on the 9-gene expression profile at each site using two sample t-test. Data will be transformed or a nonparametric test will be conducted if necessary. Differences in DK and CBV parameters between the two MR techniques (3T MR in OSU and 1.5 T in MUSC) will be explored in each class of patients.
Time frame: Day 1
Diffusional kurtosis (DK) values
The average DK parameter and cerebral blood volume (CBV) parameter will be compared between classes 1 and 2 based on the 9-gene expression profile at each site using two sample t-test. Data will be transformed or a nonparametric test will be conducted if necessary. Differences in DK and CBV parameters between the two MR techniques (3T MR in Ohio State University \[OSU\] and 1.5 T in Medical University of South Carolina \[MUSC\]) will be explored in each class of patients.
Time frame: Day 1
Genetic tumor profile
The average DK parameter and CBV parameter will be compared between classes 1 and 2 based on the 9-gene expression profile at each site using two sample t-test. Data will be transformed or a nonparametric test will be conducted if necessary.
Time frame: Day 1
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Undergo gadolinium-enhanced MRI
Undergo 3D volumetric T1-weighted sequence
Undergo FLAIR sequence
Undergo perfusion MRI