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RECRUITING
NCT04215211

MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence

Sponsor: The First Affiliated Hospital of Zhengzhou University

View on ClinicalTrials.gov

Summary

This registry aims to collect clinical, molecular and radiologic data including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, 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 patients' survivals in the frame of molecular pathology or subgroups of gliomas.

Official title: MR Based Survival Prediction of Patients With Primary Glioma Ssing Deep Learning or Machine Learning

Key Details

Gender

All

Age Range

1 Year - 90 Years

Study Type

OBSERVATIONAL

Enrollment

2500

Start Date

2017-01-01

Completion Date

2027-06-01

Last Updated

2021-02-08

Healthy Volunteers

No

Conditions

Interventions

DIAGNOSTIC_TEST

Survival prediction for glioma patients

Survival prediction of glioma patients in the frame of molecular pathology by leveraging AI

Locations (1)

Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University

Zhengzhou, Henan, China