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Histopathology Images Based Survival Prediction of Glioma Patients Using Artificial Intelligence

NCT04215224 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3500

Last updated 2021-02-08

No results posted yet for this study

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.

Conditions

Interventions

DIAGNOSTIC_TEST

Histopathology images based survival prediction for glioma patients

Histopathology images based survival prediction of glioma patients in the frame of molecular pathology by leveraging AI

Sponsors & Collaborators

  • Sun Yat-sen University

    collaborator OTHER

  • The First Affiliated Hospital of Zhengzhou University

    lead OTHER

Eligibility

Min Age
1 Year
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-01-01
Primary Completion
2027-01-01
Completion
2027-06-01

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04215224 on ClinicalTrials.gov