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The purpose of this study is to examine the safety and feasibility of performing hyperpolarized metabolic MRI in the diagnosis of brain tumor. This study will also assess the accuracy of hyperpolarized metabolic MRI to diagnose intermediate to patients with infiltrating gliomas and examine the added utility of metabolic MRI over standard MRI imaging
The FDA is allowing the use of hyperpolarized [1-13C] pyruvate (HP 13C-pyruvate) in this study.
Up to 5 patients may take part in this study at the University of Maryland, Baltimore (UMB).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| metabolic MRI | Experimental | Single-arm study in patients who have Glioma Perform metabolic magnetic resonance imaging on patient have a Glioma cancer to understand if metabolic MRI can be safely performed on this population |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Hyperpolarized 13C-Pyruvate | Drug | Hyperpolarized Pyruvate (13C) Injection, containing spin-polarized ("hyperpolarized") [ 13C]pyruvate, is being studied as a diagnostic agent in combination with 13C spectroscopic MR imaging. The aim is to visualize [13C]pyruvate and its metabolites and thereby distinguish between anatomical areas with normal vs. abnormal metabolism, which should be useful in diagnosing and characterizing, for example, malignancy. Hyperpolarized Pyruvate (13C) Injection and [13C]pyruvate are general terms used throughout this brochure, that refer to all 13C labeling patterns, such as [1- 13C]pyruvate, [2- 13C]pyruvate and [1,2- 13C]pyruvate. From biological and safety standpoints, pyruvate with each of the labeling patterns behaves identically in the human body [Koletzko et al., 1997]. |
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy of metabolic MRI to diagnose Glioma | To study the accuracy of hyperpolarized metabolic MRI to diagnose Glioma Cancer. We will compare the prediction of cancer from the MRI scan compared to actual diagnosis of cancer by any subsequent workup or procedure the participant undergoes. Prediction of cancer from MRI scan will be performed by assigning a standardized score . Actual diagnosis of cancer will be based on tissue pathology. | Within three years post treatment |
| Measure | Description | Time Frame |
|---|---|---|
| Utility of metabolic MRI over standard MRI imaging in the diagnosis of Glioma cancer | To examine the added utility of metabolic MRI over standard MRI imaging. 3. We will quantify the number of participants in which the MRI provided extra information that otherwise was not available during the course of the patient's workup. | Within three years post treatment |
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Inclusion Criteria:
• Patients with a new brain lesion interpreted as suspected infiltrating gliomas including but not limited to (diffuse astrocytoma WHO grade 2; oligodendroglioma WHO grade 2 and 3; anaplastic astrocytoma WHO grade 3; astrocytoma WHO grade 4), OR, patients with prior history of infiltrating glioma scheduled for surgery for tumor biopsy or resection.
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Rosy Njonkou Tchoquessi | Contact | 4107066445 | rnjonkou@som.umaryland.edu |
| Name | Affiliation | Role |
|---|---|---|
| Dirk Mayer, Dr. rer. nat | University of Maryland, Baltimore | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Rosy Njonkou Tchoquessi | Recruiting | Baltimore | Maryland | 21201 | United States |
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| ID | Term |
|---|---|
| D005910 | Glioma |
| ID | Term |
|---|---|
| D018302 | Neoplasms, Neuroepithelial |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
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|
| D009369 | Neoplasms |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009380 | Neoplasms, Nerve Tissue |