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Correlation Between the Genetic and Neuroimaging Signatures in Newly Diagnosed Glioblastoma Patients Before Surgery
The Correlation Between the Genetic and Neuroimaging Signatures in Newly Diagnosed Glioblastoma
2 other identifiers
interventional
N/A
0 countries
N/A
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
Started Mar 2016
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 20, 2015
CompletedFirst Posted
Study publicly available on registry
October 29, 2015
CompletedStudy Start
First participant enrolled
March 20, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 26, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
October 26, 2017
CompletedJanuary 31, 2018
January 1, 2018
1.6 years
September 20, 2015
January 30, 2018
Conditions
Outcome Measures
Primary Outcomes (3)
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.
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.
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.
Day 1
Study Arms (1)
Diagnostic (MRI, tumor tissue analysis)
EXPERIMENTALPatients undergo MRI before and after gadolinium contrast administration, including 3D volumetric T1-weighted sequence, FLAIR sequence, diffusion weighted imaging, and perfusion MRI. Tissue samples are also analyzed for the tumor genetic profile.
Interventions
Undergo diffusion weighted MRI
Undergo gadolinium-enhanced MRI
Undergo gadolinium-enhanced MRI
Undergo perfusion MRI
Eligibility Criteria
You may qualify if:
- Patients who will be undergoing surgery for newly-diagnosed glioblastoma
- Subtotal, gross total or biopsy patients will be eligible
- Confirmation of pathology as glioblastoma
You may not qualify if:
- Tissue analysis demonstrating pathology other than glioblastoma
- Patients with a contraindication to having MR imaging (e.g. pacemaker) or contrast MR administration (e.g. hypersensitivity to gadolinium or renal insufficiency above the institutional threshold for administration of contrast); patients with hypersensitivity to MR contrast may be able to participate if it has been established that premedication will mitigate the hypersensitivity reaction
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Pierre Giglio, MD
Ohio State University Comprehensive Cancer Center
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
September 20, 2015
First Posted
October 29, 2015
Study Start
March 20, 2016
Primary Completion
October 26, 2017
Study Completion
October 26, 2017
Last Updated
January 31, 2018
Record last verified: 2018-01