MR Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence
NCT04217018 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000
Last updated 2021-02-08
Summary
This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new MR sequences (T1, T1c, T2, FLAIR, ADC, DTI, PWI, etc) of patients with primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine algorithms that able to predict molecular pathology or subgroups of gliomas.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
Prediction of molecular pathology
Prediction of 1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations or molecular subgroups by leveraging AI
Sponsors & Collaborators
-
Sun Yat-sen University
collaborator OTHER -
The First Affiliated Hospital of Zhengzhou University
lead OTHER
Eligibility
- Min Age
- 1 Year
- Max Age
- 95 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2017-01-01
- Primary Completion
- 2027-01-01
- Completion
- 2027-06-01
Countries
- China
Study Locations
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