- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04122521
Radiogenomic and Prognosis Analysis in Glioma
February 6, 2020 updated by: Ho Sung Kim, Asan Medical Center
Prospective Observational Study of Imaging-based Prediction for Genomic Mutations and Prognosis in Glioma
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.
Study Overview
Detailed Description
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.
Study Type
Observational
Enrollment (Anticipated)
62
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Ji Eun Park, MD PhD
- Phone Number: +82 2 3010 1505
- Email: jieunp@gmail.com
Study Contact Backup
- Name: Min Jae Kim, MD
- Email: manzae.kim@gmail.com
Study Locations
-
-
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Seoul, Korea, Republic of
- Recruiting
- Asan Medical Center
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
N/A
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Patients of tertiary hospital center
Description
Inclusion Criteria:
- Patients suspected of glioma undergoing MRI examination prior to surgery
- MRI including advanced imaging such as cerebral blood volume, apparent diffusion coefficient and amide proton transfer imaging
- Signed informed consent
Exclusion Criteria:
- Pathologic confirmation as tumors other than glioma
- Patients who have any type of bioimplant activated by mechanical, electronic, or magnetic means (e.g., cochlear implants, pacemakers, neurostimulators, biostimulates, electronic infusion pumps, etc), because such devices may be displaced or malfunction
- Patients who are pregnant or breast feeding; urine pregnancy test will be performed on women of child bearing potential
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Glioma
Patients suspected of glioma
|
MRI
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Time to progression
Time Frame: Through study completion, an average of 2 years
|
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
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Genomics including IDH mutation, 1p19q codeletion, MGMT methylation and EGFR mutation status
Time Frame: 2 months
|
Proportion of positive IDH mutation, 1p19q codeletion, MGMT methylation and EGFR mutation in percentage (%)
|
2 months
|
Progression free survival
Time Frame: Through study completion, an average of 3 years
|
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
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: Ji Eun Park, MD PhD, Asan Medical Center
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 12, 2020
Primary Completion (Anticipated)
February 1, 2021
Study Completion (Anticipated)
February 1, 2021
Study Registration Dates
First Submitted
October 7, 2019
First Submitted That Met QC Criteria
October 9, 2019
First Posted (Actual)
October 10, 2019
Study Record Updates
Last Update Posted (Actual)
February 7, 2020
Last Update Submitted That Met QC Criteria
February 6, 2020
Last Verified
February 1, 2020
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- AsanMCHSKim_03
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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