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Histopathology Images Based Survival Prediction of Glioma Patients Using Artificial Intelligence

RECRUITINGSponsored by The First Affiliated Hospital of Zhengzhou University
Actively Recruiting
SponsorThe First Affiliated Hospital of Zhengzhou University
Started2017-01-01
Est. completion2027-01-01
Eligibility
Age1 Year – 90 Years
Healthy vol.Accepted

Summary

This registry aims to collect clinical, molecular and histopathology imaging including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, 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 hstopathology imaging based algorithms that able to predict patients' survivals in the frame of molecular pathology or subgroups of gliomas.

Eligibility

Age: 1 Year – 90 YearsHealthy volunteers accepted
Inclusion Criteria:

* 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

Exclusion Criteria:

* 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 malfuctions

Conditions2

CancerGlioma

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