Feasibility and Clinically Application of Magnetic Resonance Fingerprinting
NCT ID: NCT02387840
Last Updated: 2021-01-12
Study Results
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View full resultsBasic Information
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TERMINATED
NA
35 participants
INTERVENTIONAL
2015-03-31
2019-07-31
Brief Summary
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Detailed Description
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Specific Aim 2: Characterize the MRF signature of low-grade gliomas
Specific Aim 3: Determine whether MRF can identify occult tumor in subjects with low-grade glioma.
Specific Aim 4: Determine whether MRF can identify treatment effects in low-grade gliomas.
Specific Aim 5: Explore whether common brain tumors can be differentiated by comparing pre-operative MRF signature with pathologic diagnosis.
Outline: This study will examine the feasibility of MRF in children and AYA and determine whether quantitative measures of T1 and T2 relaxation times can be derived in subjects \<35 years of age. Approximately 80 subjects will be evaluated and include subgroups where MRF may be of particular utility, including children and AYA subjects with brain tumors and subjects with neurofibromatosis type 1 (NF1). Additional aims will investigate the utility of MRF in these groups.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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NF1-associated Optic Pathway Glioma (OPG)
Patients with neurofibromatosis type 1 (NF1) associated OPG will be imaged by magnetic resonance imaging and magnetic resonance fingerprinting
Magnetic Resonance Imaging
Patients will have a scan of soft tissue using magnetic field and radio frequency pulses.
Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) uses pseudo-randomized variation in acquisition parameters to generate a multi-parametric data signal that can be compared to signal patterns calculated from all possible combinations of parameters of interest. The closest match in signal patterns yields the parameters used to calculate the theoretical signal, in each voxel, and thus a map of all parameters of interest for that tissue. This process allows for rapid quantitation of MR relaxometry values (T1 and T2).
NF1 without brain tumor
Patients with NF1 without brain tumor will be imaged by magnetic resonance imaging and magnetic resonance fingerprinting
Magnetic Resonance Imaging
Patients will have a scan of soft tissue using magnetic field and radio frequency pulses.
Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) uses pseudo-randomized variation in acquisition parameters to generate a multi-parametric data signal that can be compared to signal patterns calculated from all possible combinations of parameters of interest. The closest match in signal patterns yields the parameters used to calculate the theoretical signal, in each voxel, and thus a map of all parameters of interest for that tissue. This process allows for rapid quantitation of MR relaxometry values (T1 and T2).
Without NF1 and with brain tumor exposed to therapy
Patients without NF1 and with low grade gliomas exposed to therapy will be imaged by magnetic resonance imaging and magnetic resonance fingerprinting
Magnetic Resonance Imaging
Patients will have a scan of soft tissue using magnetic field and radio frequency pulses.
Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) uses pseudo-randomized variation in acquisition parameters to generate a multi-parametric data signal that can be compared to signal patterns calculated from all possible combinations of parameters of interest. The closest match in signal patterns yields the parameters used to calculate the theoretical signal, in each voxel, and thus a map of all parameters of interest for that tissue. This process allows for rapid quantitation of MR relaxometry values (T1 and T2).
Without NF1 and with untreated low grade brain tumors
Patients without NF1 and with untreated low grade gliomas will be imaged by magnetic resonance imaging and magnetic resonance fingerprinting
Magnetic Resonance Imaging
Patients will have a scan of soft tissue using magnetic field and radio frequency pulses.
Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) uses pseudo-randomized variation in acquisition parameters to generate a multi-parametric data signal that can be compared to signal patterns calculated from all possible combinations of parameters of interest. The closest match in signal patterns yields the parameters used to calculate the theoretical signal, in each voxel, and thus a map of all parameters of interest for that tissue. This process allows for rapid quantitation of MR relaxometry values (T1 and T2).
Without NF1 and without brain tumors
Patients without NF1 and without brain tumor will be imaged by magnetic resonance imaging and magnetic resonance fingerprinting
Magnetic Resonance Imaging
Patients will have a scan of soft tissue using magnetic field and radio frequency pulses.
Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) uses pseudo-randomized variation in acquisition parameters to generate a multi-parametric data signal that can be compared to signal patterns calculated from all possible combinations of parameters of interest. The closest match in signal patterns yields the parameters used to calculate the theoretical signal, in each voxel, and thus a map of all parameters of interest for that tissue. This process allows for rapid quantitation of MR relaxometry values (T1 and T2).
Brain tumors of assorted pathology
Patients with brain tumors of assorted pathologies will be imaged by magnetic resonance imaging and magnetic resonance fingerprinting
Magnetic Resonance Imaging
Patients will have a scan of soft tissue using magnetic field and radio frequency pulses.
Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) uses pseudo-randomized variation in acquisition parameters to generate a multi-parametric data signal that can be compared to signal patterns calculated from all possible combinations of parameters of interest. The closest match in signal patterns yields the parameters used to calculate the theoretical signal, in each voxel, and thus a map of all parameters of interest for that tissue. This process allows for rapid quantitation of MR relaxometry values (T1 and T2).
Interventions
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Magnetic Resonance Imaging
Patients will have a scan of soft tissue using magnetic field and radio frequency pulses.
Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) uses pseudo-randomized variation in acquisition parameters to generate a multi-parametric data signal that can be compared to signal patterns calculated from all possible combinations of parameters of interest. The closest match in signal patterns yields the parameters used to calculate the theoretical signal, in each voxel, and thus a map of all parameters of interest for that tissue. This process allows for rapid quantitation of MR relaxometry values (T1 and T2).
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* NF1 status will be determined by clinical exam or genetic testing
* NF1-associated Optic Pathway Glioma (OPG) will be defined as radiographic evidence of glioma along the optic nerve, chiasm, tract or radiation in a child with NF1
* Untreated low grade gliomas will be imaging-defined gliomas that have not yet been exposed to radiation or systemic chemotherapy. Those exposed to therapy will have had radiation and/or systemic chemotherapy more than 1 month prior to scans
Exclusion Criteria
* Presence of a genetic disorder other than NF1 that effects cognition or is associated with MR imaging abnormalities (e.g. tuberous sclerosis)
* History of cerebrovascular accident (stroke)
* Birth weight below five pounds, premature birth prior to 36 weeks of gestation, or ischemic episode at birth
* Major psychiatric diagnosis prior to neuro-oncological diagnosis
35 Years
ALL
Yes
Sponsors
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Case Comprehensive Cancer Center
OTHER
Responsible Party
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Principal Investigators
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Deborah R Gold, MD
Role: PRINCIPAL_INVESTIGATOR
Case Comprehensive Cancer Center
Locations
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Rainbow Babies and Children's Hospital
Cleveland, Ohio, United States
Countries
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Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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NCI-2015-00301
Identifier Type: REGISTRY
Identifier Source: secondary_id
CASE7314
Identifier Type: -
Identifier Source: org_study_id
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