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MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence
Sponsor: The First Affiliated Hospital of Zhengzhou University
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
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