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Investigator left institution
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One-third of all primary brain tumors are astrocytomas, the most common type of glioma. Grade 4 astrocytomas, more commonly known as glioblastomas (GBMs), represent about 50% of all gliomas (annual incidence of over 3 per 100,000) and are associated with high mortality rates and median patient survival of just 12-15 months post-diagnosis. Treatment response is assessed by measuring post-treatment tumor size on contrast-enhanced magnetic resonance images (MRI). However, radiation and chemotherapy cause inflammatory and necrotic changes which, like actual tumor progression itself, demonstrate contrast enhancement on the first post-treatment MRI scan. This enhancement eventually subsides (typically within 6 months of treatment) and is known as pseudoprogression (PsP). Currently, there is no gold standard noninvasive tool for distinguishing between pseudoprogression and progressive disease. Dynamic susceptibility-weighted contrast-enhanced perfusion MRI (DSC perfusion MRI) permits measurement of hemodynamic imaging variables. Previous literature reports attempted to use some or all of these metrics to assess their utility in distinguishing PsP from true cancer progression. These studies showed mixed results, likely due to a number of factors, including poor statistical power, poorly defined PsP, analysis of multiple cancer grades and types, and varied analysis methodologies. The investigators aim to address these issues in this study.
See BRIEF SUMMARY section
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Study subjects | Patients who have or might have a brain tumor which may be a glioblastoma. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Study subjects | Other | This study does not include an intervention it is only observational. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Imaging parameter utility for pseudoprogression vs. true tumor growth | The primary outcome of this study is to assess the utility of peak height, peak signal recovery, apparent diffusion coefficient, and cerebral blood volume (and their relative values) in determining, positive predictive values (PPV), negative predictive values (NPV), and likelihood ratios (LR) for identifying pseudo progression versus true tumor growth. | Up to 24 months |
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Inclusion Criteria:
Exclusion Criteria:
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Individuals who have or might have a brain tumor which may be a glioblastoma.
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| Name | Affiliation | Role |
|---|---|---|
| Eric Beltz, MD | Northwest Radiology Network, Inc | Principal Investigator |
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| ID | Term |
|---|---|
| D005909 | Glioblastoma |
| D001932 | Brain Neoplasms |
| ID | Term |
|---|---|
| D001254 | Astrocytoma |
| D005910 | Glioma |
| D018302 | Neoplasms, Neuroepithelial |
| D017599 | Neuroectodermal Tumors |
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| D009373 |
| Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009380 | Neoplasms, Nerve Tissue |
| D016543 | Central Nervous System Neoplasms |
| D009423 | Nervous System Neoplasms |
| D009371 | Neoplasms by Site |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |