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Histopathology Images Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence
Sponsor: The First Affiliated Hospital of Zhengzhou University
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 images of HE slices in primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine histopathology image based algorithms that are able to predict molecular pathology or subgroups of gliomas.
Official title: Histopathology Images Based Prediction of Molecular Pathology in Glioma Using Deep Learning or Machine Learning
Key Details
Gender
All
Age Range
1 Year - 95 Years
Study Type
OBSERVATIONAL
Enrollment
3000
Start Date
2017-01-01
Completion Date
2027-06-01
Last Updated
2021-02-08
Healthy Volunteers
Yes
Conditions
Interventions
Histopathology images based prediction of molecular pathology
Histopathology images based prediction of 1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations or molecular subgroups by leveraging AI
Locations (1)
Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China