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Feasibility and Clinically Application of Magnetic Resonance Fingerprinting

Feasibility and Clinically Application of Magnetic Resonance Fingerprinting

Status
Terminated
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02387840
Enrollment
35
Registered
2015-03-13
Start date
2015-03-31
Completion date
2019-07-31
Last updated
2021-01-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Brain Tumor, Glioma, Neurofibromatosis Type 1

Keywords

Brain, Cancer, Neurofibromatosis type 1, NF1, Magnetic resonance fingerprinting, MRF

Brief summary

This study will look at the feasibility of using magnetic resonance fingerprinting (MRF) in children, adolescents and young adults (AYA) with and without brain tumors. This study will also look at subjects with and without neurofibromatosis type 1(NF1), a genetic disorder that affects the growth of nervous system cells. Further, it will explore potential ways of using of MRF signal measurements in children, adolescents, and young adults with brain tumors, including tissue characterization, looking at whether the treatment was effective, and finding metastasized tumors of unknown origin (occult tumors). To explore the feasibility and potential applications of MRF, this study will recruit up to 80 subjects but will stop once 10 subjects have usable data in each of six groups.

Detailed description

Specific Aim 1: Demonstrate the feasibility of magnetic resonance fingerprinting (MRF) in children, adolescents and young adults (AYA) with and without brain tumors. 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.

Interventions

DEVICEMagnetic Resonance Imaging

Patients will have a scan of soft tissue using magnetic field and radio frequency pulses.

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).

Sponsors

Case Comprehensive Cancer Center
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
No minimum to 35 Years
Healthy volunteers
Yes

Inclusion criteria

* Subjects undergoing MRI evaluation of the brain * 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

* History of mental retardation unrelated to brain tumor * 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

Design outcomes

Primary

MeasureTime frameDescription
Average Duration of MRF Sequence - FeasibilityUp to 1 yearThe duration of MRF sequence in minutes will be recorded as a measure of feasibility

Secondary

MeasureTime frameDescription
Number of Patients With Evaluable T1 and T2 Relaxation Times on MRF ScansUp to 1 yearNumber of patients which have evaluable scans at both T1 and T2
Comparison of Relaxometry MRI Scans Between Low Grade Gliomas and Healthy Brain TissueUp to 1 yearUsing Wilcoxon rank sum test to compare continuous variables, researchers will identify scans with significant difference in relaxometry between low-grade (composite of arms 1,3,4) and versus healthy brain tissue.
Combination of Relaxometry MRI Scans Between High Grade Gliomas and Healthy Brain TissueUp to 1 yearUsing Wilcoxon rank sum test to compare continuous variables, researchers will identify scans with significant difference in relaxometry between high-grade (arm 6) and versus healthy brain tissue.
Comparison of Scans of Treated and Untreated Low Grade Gliomas (LGG)Up to 1 yearUsing paired t-tests or non-parametric Wilcoxon signed rank tests, researchers will identify scans with significant differences in scans of treated and untreated tumors

Other

MeasureTime frameDescription
Comparison of Relaxometry Values Between Tumors of Varying PathologyUp to 1 yearDescriptive statistics will be used to identify the T1 and T2 relaxation times for tumors of different types on pre-operative MRF scan

Countries

United States

Participant flow

Pre-assignment details

Protocol enrollment was 35 but data are only available for 34 participants - Study team believes one participant's scan was never completed with MRF but because the study was terminated in 2018 with no further access to data this cannot be confirmed.

Participants by arm

ArmCount
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).
4
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).
6
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).
6
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).
8
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).
4
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).
6
Total34

Withdrawals & dropouts

PeriodReasonFG000FG001FG002FG003FG004FG005
Overall StudyDeath000001

Baseline characteristics

CharacteristicNF1-associated Optic Pathway Glioma (OPG)TotalBrain Tumors of Assorted PathologyWithout NF1 and Without Brain TumorsWithout NF1 and With Untreated Low Grade Brain TumorsWithout NF1 and With Brain Tumor Exposed to TherapyNF1 Without Brain Tumor
Age, Continuous4.5 Years15 Years14 Years12.5 Years15 Years14 Years17.5 Years
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
4 Participants34 Participants6 Participants4 Participants8 Participants6 Participants6 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Black or African American
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
4 Participants34 Participants6 Participants4 Participants8 Participants6 Participants6 Participants
Race (NIH/OMB)
White
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Region of Enrollment
United States
4 participants34 participants6 participants4 participants8 participants6 participants6 participants
Sex: Female, Male
Female
2 Participants18 Participants0 Participants3 Participants6 Participants4 Participants3 Participants
Sex: Female, Male
Male
2 Participants16 Participants6 Participants1 Participants2 Participants2 Participants3 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
EG004
affected / at risk
EG005
affected / at risk
deaths
Total, all-cause mortality
0 / 40 / 60 / 61 / 80 / 41 / 6
other
Total, other adverse events
0 / 40 / 60 / 60 / 80 / 40 / 6
serious
Total, serious adverse events
0 / 40 / 60 / 60 / 80 / 40 / 6

Outcome results

Primary

Average Duration of MRF Sequence - Feasibility

The duration of MRF sequence in minutes will be recorded as a measure of feasibility

Time frame: Up to 1 year

Population: Participants enrolled in study

ArmMeasureValue (MEAN)Dispersion
NF1-associated Optic Pathway Glioma (OPG)Average Duration of MRF Sequence - Feasibility11 minutesStandard Deviation 0
NF1 Without Brain TumorAverage Duration of MRF Sequence - Feasibility11 minutesStandard Deviation 0
Without NF1 and With Brain Tumor Exposed to TherapyAverage Duration of MRF Sequence - Feasibility11 minutesStandard Deviation 0
Without NF1 and With Untreated Low Grade Brain TumorsAverage Duration of MRF Sequence - Feasibility11 minutesStandard Deviation 0
Without NF1 and Without Brain TumorsAverage Duration of MRF Sequence - Feasibility11 minutesStandard Deviation 0
Brain Tumors of Assorted PathologyAverage Duration of MRF Sequence - Feasibility11 minutesStandard Deviation 0
Secondary

Combination of Relaxometry MRI Scans Between High Grade Gliomas and Healthy Brain Tissue

Using Wilcoxon rank sum test to compare continuous variables, researchers will identify scans with significant difference in relaxometry between high-grade (arm 6) and versus healthy brain tissue.

Time frame: Up to 1 year

Population: Participants in arm 6 had a measurable solid portion of HGG and were used for this analysis. Each participant had a single tumor sample measured and a single normal-appearing white matter measured.

ArmMeasureGroupValue (MEAN)Dispersion
NF1-associated Optic Pathway Glioma (OPG)Combination of Relaxometry MRI Scans Between High Grade Gliomas and Healthy Brain TissueT11863 milliseconds (ms)Standard Deviation 70
NF1-associated Optic Pathway Glioma (OPG)Combination of Relaxometry MRI Scans Between High Grade Gliomas and Healthy Brain TissueT291 milliseconds (ms)Standard Deviation 13
NF1 Without Brain TumorCombination of Relaxometry MRI Scans Between High Grade Gliomas and Healthy Brain TissueT1979 milliseconds (ms)Standard Deviation 156
NF1 Without Brain TumorCombination of Relaxometry MRI Scans Between High Grade Gliomas and Healthy Brain TissueT245 milliseconds (ms)Standard Deviation 7
Comparison: Comparison of T1 valuesp-value: 0.081Wilcoxon (Mann-Whitney)
Comparison: Comparison of T2 valuesp-value: 0.081Wilcoxon (Mann-Whitney)
Secondary

Comparison of Relaxometry MRI Scans Between Low Grade Gliomas and Healthy Brain Tissue

Using Wilcoxon rank sum test to compare continuous variables, researchers will identify scans with significant difference in relaxometry between low-grade (composite of arms 1,3,4) and versus healthy brain tissue.

Time frame: Up to 1 year

Population: Participants enrolled on arms 1,3 and 4. Combination of Arms 1, 3, and 4 for reporting was pre-specified in the study protocol. Each participant had a single tumor sample measured and a single normal-appearing white matter measured.

ArmMeasureGroupValue (MEAN)Dispersion
NF1-associated Optic Pathway Glioma (OPG)Comparison of Relaxometry MRI Scans Between Low Grade Gliomas and Healthy Brain TissueT11355 milliseconds (ms)Standard Deviation 187
NF1-associated Optic Pathway Glioma (OPG)Comparison of Relaxometry MRI Scans Between Low Grade Gliomas and Healthy Brain TissueT256 milliseconds (ms)Standard Deviation 19
NF1 Without Brain TumorComparison of Relaxometry MRI Scans Between Low Grade Gliomas and Healthy Brain TissueT1916 milliseconds (ms)Standard Deviation 78
NF1 Without Brain TumorComparison of Relaxometry MRI Scans Between Low Grade Gliomas and Healthy Brain TissueT238 milliseconds (ms)Standard Deviation 8
Comparison: Comparison of T1 valuesp-value: 0.0002Wilcoxon (Mann-Whitney)
Comparison: Comparison of T2 valuesp-value: 0.0003Wilcoxon (Mann-Whitney)
Secondary

Comparison of Scans of Treated and Untreated Low Grade Gliomas (LGG)

Using paired t-tests or non-parametric Wilcoxon signed rank tests, researchers will identify scans with significant differences in scans of treated and untreated tumors

Time frame: Up to 1 year

Population: Participants enrolled in study. Combination of Arms for reporting was pre-specified in the study protocol

ArmMeasureGroupValue (MEAN)Dispersion
NF1-associated Optic Pathway Glioma (OPG)Comparison of Scans of Treated and Untreated Low Grade Gliomas (LGG)T257 milliseconds (ms)Standard Deviation 15
NF1-associated Optic Pathway Glioma (OPG)Comparison of Scans of Treated and Untreated Low Grade Gliomas (LGG)T11410 milliseconds (ms)Standard Deviation 180
NF1 Without Brain TumorComparison of Scans of Treated and Untreated Low Grade Gliomas (LGG)T11265 milliseconds (ms)Standard Deviation 181
NF1 Without Brain TumorComparison of Scans of Treated and Untreated Low Grade Gliomas (LGG)T247 milliseconds (ms)Standard Deviation 15
Comparison: Comparison of T1 valuesp-value: 0.12Wilcoxon (Mann-Whitney)
Comparison: Comparison of T2 valuesp-value: 0.14Wilcoxon (Mann-Whitney)
Secondary

Number of Patients With Evaluable T1 and T2 Relaxation Times on MRF Scans

Number of patients which have evaluable scans at both T1 and T2

Time frame: Up to 1 year

Population: Participants enrolled in study

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
NF1-associated Optic Pathway Glioma (OPG)Number of Patients With Evaluable T1 and T2 Relaxation Times on MRF Scans4 Participants
NF1 Without Brain TumorNumber of Patients With Evaluable T1 and T2 Relaxation Times on MRF Scans6 Participants
Without NF1 and With Brain Tumor Exposed to TherapyNumber of Patients With Evaluable T1 and T2 Relaxation Times on MRF Scans6 Participants
Without NF1 and With Untreated Low Grade Brain TumorsNumber of Patients With Evaluable T1 and T2 Relaxation Times on MRF Scans8 Participants
Without NF1 and Without Brain TumorsNumber of Patients With Evaluable T1 and T2 Relaxation Times on MRF Scans4 Participants
Brain Tumors of Assorted PathologyNumber of Patients With Evaluable T1 and T2 Relaxation Times on MRF Scans6 Participants
Other Pre-specified

Comparison of Relaxometry Values Between Tumors of Varying Pathology

Descriptive statistics will be used to identify the T1 and T2 relaxation times for tumors of different types on pre-operative MRF scan

Time frame: Up to 1 year

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026