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

Status

Unknown

Conditions

Intervention / Treatment

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

Study Locations

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.

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

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.

Clinical Trials on Glioma

Clinical Trials on MRI

3
Subscribe