- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03698162
Precise DCE-MRI in Diagnosing Participants With Recurrent High Grade Glioma or Melanoma Brain Metastases
Area B: Precise DCE-MRI Assessment of Brain Tumors
Study Overview
Status
Intervention / Treatment
Detailed Description
PRIMARY OBJECTIVES:
I. To optimize and technically validate specially-tailored acquisition and reconstruction (STAR) DCE-MRI based on the accuracy and reproducibility of whole-brain tracer-kinetic (TK) parameter maps.
SECONDARY OBJECTIVES:
I. To develop a robust clinical implementation of STAR DCE-MRI. II. To clinically evaluate STAR DCE-MRI in patients with brain tumors.
OUTLINE: Participants are assigned to 1 of 2 cohorts.
COHORT I: Participants with recurrent high-grade glioma undergo STAR DCE-MRI every 2 months, and just prior to and 4-6 weeks after starting bevacizumab treatment. If there is concern for tumor progression (i.e. increased contrast enhancement), more frequent MRI scans will be scheduled.
COHORT II: Participants with melanoma brain metastases undergo STAR DCE-MRI at baseline and 4-6 weeks after therapy. Participants may undergo more frequent MRI if there is concern for tumor progression.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Steven Carrasco
- Phone Number: 323-442-7469
- Email: Steven.Carrasco@med.usc.edu
Study Locations
-
-
California
-
Los Angeles, California, United States, 90033
- USC / Norris Comprehensive Cancer Center
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- COHORT I: Recurrent high-grade glioma (often with thin areas of enhancement) treated with bevacizumab.
- COHORT I: We will include adult patients with histopathologically confirmed high-grade glioma with evidence of tumor progression at baseline MRI who will undergo treatment with an anti-angiogenic agent (bevacizumab) with or without concomitant chemotherapy, and Karnofsky Performance Score > 60%.
- COHORT I: At least 30 days should have elapsed since prior therapy including surgery and temozolomide chemoradiation.
- COHORT I: Satisfactory renal, hepatic, and hematologic function is required.
- COHORT II: Melanoma brain metastases (often small and spread throughout the brain) treated with immunotherapy.
- COHORT II: We will include adult patients with a tissue-proven history of melanoma who have contrast enhancing brain masses who will undergo treatment with immunotherapy with an anti-CTLA-4 or anti-PD-1 approach (e.g. ipilimumab, pembrolizumab, or nivolumab), and Karnofsky Performance Score > 60%.
- COHORT II: At least 30 days should have elapsed since prior therapy including surgery, stereotactic brain irradiation, and corticosteroid use.
Exclusion Criteria:
- COHORT I: Exclusion criteria include treatment with any other anti-cancer treatment, enzyme-inducing antiepileptic agents, anticoagulant treatment, pregnancy, other anti-angiogenesis therapy and prior thrombo-embolic disorders.
- COHORT I: Exclusion criteria will include the standard contraindications for MRI: 1) prior work as a machinist or metal worker, or history of metal being removed from the eyes, 2) cardiac pacemaker or internal pacing wires, 3) non-MRI compatible vena cava filter, vascular aneurysm clip, heart valve, spinal or ventricular shunt, optic implant, neuro-stimulator unit, ocular implant, or intrauterine device, or 4) claustrophobia, or uncontrollable motion disorder.
- COHORT I: Pregnant women, prisoners, and institutionalized individuals will be excluded.
- COHORT II: Exclusion criteria include treatment with any other anti-cancer treatment, and other immunotherapy exclusion criteria.
- COHORT II: Non-cutaneous melanomas will be excluded.
- COHORT II: Exclusion criteria will include the standard contraindications for MRI: 1) prior work as a machinist or metal worker, or history of metal being removed from the eyes, 2) cardiac pacemaker or internal pacing wires, 3) non-MRI compatible vena cava filter, vascular aneurysm clip, heart valve, spinal or ventricular shunt, optic implant, neuro-stimulator unit, ocular implant, or intrauterine device, or 4) claustrophobia, or uncontrollable motion disorder.
- COHORT II: Pregnant women, prisoners, and institutionalized individuals will be excluded.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Cohort I (STAR DCE-MRI)
Participants with recurrent high-grade glioma undergo STAR DCE-MRI every 2 months, and just prior to and 4-6 weeks after starting bevacizumab treatment.
Participants may undergo more frequent MRI if there is concern for tumor progression.
|
Undergo STAR DCE-MRI
Other Names:
Bevacizumab will be give to participants who have recurrent high-grade glioma as part of standard of care.
Other Names:
|
Experimental: Cohort II (STAR DCE-MRI)
Participants with melanoma brain metastases undergo STAR DCE-MRI at baseline and 4-6 weeks after therapy.
Participants may undergo more frequent MRI if there is concern for tumor progression.
|
Undergo STAR DCE-MRI
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Volume transfer constant (Ktrans)
Time Frame: Up to 3 years
|
The raw data will be acquired at the voxel level.
Then the analytic parameters will be extracted from voxel-wise data such as the mean, median, interquartile range, skewness and kurtosis.
Receiver-operating characteristic curves (ROC) will be used to illustrate the univariate prediction accuracy for each parameter in predicting the clinically determined outcome.
The pattern of change with different clinical response status will be visually illustrated using spaghetti plots or other graphical approaches.
Classification and Regression Tree (CART) with 10-fold cross validation will be used for building the final prediction model and determine the diagnostic cut point(s).
CART analysis will also include demographics, comorbidity information, and relevant biological variables including sex.
The final model accuracy will be assessed using area under the curve (AUC) when fitting a ROC curve using predicted outcome against the actual outcome.
|
Up to 3 years
|
Fractional plasma volume (vp)
Time Frame: Up to 3 years
|
The raw data will be acquired at the voxel level.
Then the analytic parameters will be extracted from voxel-wise data such as the mean, median, interquartile range, skewness and kurtosis.
ROC will be used to illustrate the univariate prediction accuracy for each parameter in predicting the clinically determined outcome.
The pattern of change with different clinical response status will be visually illustrated using spaghetti plots or other graphical approaches.
CART with 10-fold cross validation will be used for building the final prediction model and determine the diagnostic cut point(s).
CART analysis will also include demographics, comorbidity information, and relevant biological variables including sex.
The final model accuracy will be assessed using AUC when fitting a ROC curve using predicted outcome against the actual outcome.
|
Up to 3 years
|
Fractional extravascular-extracellular space volume (ve)
Time Frame: Up to 3 years
|
The raw data will be acquired at the voxel level.
Then the analytic parameters will be extracted from voxel-wise data such as the mean, median, interquartile range, skewness and kurtosis.
ROC will be used to illustrate the univariate prediction accuracy for each parameter in predicting the clinically determined outcome.
The pattern of change with different clinical response status will be visually illustrated using spaghetti plots or other graphical approaches.
CART with 10-fold cross validation will be used for building the final prediction model and determine the diagnostic cut point(s).
CART analysis will also include demographics, comorbidity information, and relevant biological variables including sex.
The final model accuracy will be assessed using AUC when fitting a ROC curve using predicted outcome against the actual outcome.
|
Up to 3 years
|
Model-free initial area under the contrast agent concentration curve (iAUC)
Time Frame: Up to 3 years
|
The raw data will be acquired at the voxel level.
Then the analytic parameters will be extracted from voxel-wise data such as the mean, median, interquartile range, skewness and kurtosis.
ROC will be used to illustrate the univariate prediction accuracy for each parameter in predicting the clinically determined outcome.
The pattern of change with different clinical response status will be visually illustrated using spaghetti plots or other graphical approaches.
CART with 10-fold cross validation will be used for building the final prediction model and determine the diagnostic cut point(s).
CART analysis will also include demographics, comorbidity information, and relevant biological variables including sex.
The final model accuracy will be assessed using AUC when fitting a ROC curve using predicted outcome against the actual outcome.
|
Up to 3 years
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Krishna Nayak, PhD, University of Southern California
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Neoplasms by Site
- Neoplasms, Glandular and Epithelial
- Neoplasms, Neuroepithelial
- Neuroectodermal Tumors
- Neoplasms, Germ Cell and Embryonal
- Neoplasms, Nerve Tissue
- Neoplastic Processes
- Central Nervous System Neoplasms
- Nervous System Neoplasms
- Neuroendocrine Tumors
- Nevi and Melanomas
- Neoplasm Metastasis
- Glioma
- Brain Neoplasms
- Melanoma
- Physiological Effects of Drugs
- Antineoplastic Agents
- Antineoplastic Agents, Immunological
- Angiogenesis Inhibitors
- Angiogenesis Modulating Agents
- Growth Substances
- Growth Inhibitors
- Bevacizumab
Other Study ID Numbers
- 6B-17-2 (Other Identifier: USC / Norris Comprehensive Cancer Center)
- P30CA014089 (U.S. NIH Grant/Contract)
- NCI-2018-01890 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
- R33CA225400 (U.S. NIH Grant/Contract)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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