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This study aims to evaluate whether MRI can be used to predict genomics and prognosis in glioma. Given the profound prognostic significance of genetic mutations seen in glioma, there have been increasing attempts to correlate imaging characteristics with genetic, mutational and expression patterns. To be able to predict genomics and prognosis based on imaging alone will prove useful in patients with involvement of glioma in delicate areas of the brain and better reflect tumor and molecular heterogeneity.
Previous studies have proposed certain imaging characteristics correlating with genetic, molecular and expression patterns. Advanced imaging provides additional clues but no studies have examined its added value particularly in a prospective setting. The investigator's aim to evaluate preoperative MRI for patients suspected of glioma to predict IDH mutation, 1p19q codeletion, MGMT methylation and EGFR mutation status using imaging characteristics such as margin, patterns of contrast enhancement and edema as well as diffusion and perfusion characteristics. This will be confirmed pathologically and further correlated with patients' long term outcome.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Glioma | Patients suspected of glioma |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MRI | Diagnostic Test | MRI |
|
| Measure | Description | Time Frame |
|---|---|---|
| Time to progression | The response was determined by a modification of the response assessment in neuro-oncology (RANO) criteria that combined the image assessment, neurologic evaluation and assessment of steroid use. | Through study completion, an average of 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Genomics including IDH mutation, 1p19q codeletion, MGMT methylation and EGFR mutation status | Proportion of positive IDH mutation, 1p19q codeletion, MGMT methylation and EGFR mutation in percentage (%) | 2 months |
| Progression free survival |
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Inclusion Criteria:
Exclusion Criteria:
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Patients of tertiary hospital center
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ji Eun Park, MD PhD | Contact | +82 2 3010 1505 | jieunp@gmail.com | |
| Min Jae Kim, MD | Contact | manzae.kim@gmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Ho Sung Kim, MD PhD | Asan Medical Center | Principal Investigator |
| Ji Eun Park, MD PhD | Asan Medical Center | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Asan Medical Center | Recruiting | Seoul | South Korea |
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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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Pathologic specimen with next generation sequencing
Estimated probable duration of life without disease progression, from on-study date to earlier progression date or date of death from any cause, using the Kaplan-Meier method with censoring. The response was determined by a modification of the RANO criteria that combined the image assessment, neurologic evaluation and assessment of steroid use.
| Through study completion, an average of 3 years |
| D009369 | Neoplasms |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009380 | Neoplasms, Nerve Tissue |