Histopathology Images Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence

Recruiting now

Conditions studied: Glioma

In brief

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.

Key facts

Study ID

NCT04217044

Run by

The First Affiliated Hospital of Zhengzhou University

People needed

3000

Starts

2017-01-01

Expected to finish

2027-06-01

Last updated by the study team

2021-02-08

Who can join

Age: 1 and older, up to 95. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Patients must have radiologically and histologically confirmed diagnosis of primary glioma
• Life expectancy of greater than 3 months
• Must receive tumor resection
• Signed informed consent

You may not qualify if…

• No gliomas
• No sufficient amount of tumor tissues for detection of molecular pathology
• Patients who are pregnant or breast feeding
• Patients who are suffered from severe systematic malfunctions

Where it is running

• Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University — Zhengzhou, Henan, China (enrolling)

Full record on ClinicalTrials.gov

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