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NCT04215224

Histopathology Images Based Survival Prediction of Glioma Patients Using Artificial Intelligence

Recruiting now Last updated 8 February 2021
What this trial tests

trial testing Histopathology images based survival prediction for glioma patients in Glioma in 3,500 participants. Currently enrolling.

Timeline
1 January 2017
Primary endpoint
1 January 2027
1 June 2027

Quick facts

Lead sponsorThe First Affiliated Hospital of Zhengzhou University
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment3,500
Start date1 January 2017
Primary completion1 January 2027
Estimated completion1 June 2027
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

The First Affiliated Hospital of Zhengzhou University

Who can join

Adults 1 to 90, any sex, with Glioma. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future.
    Tangsrivimol JA, Schonfeld E, Zhang M, Veeravagu A, et al · · 2023 · cited 43× · PMID 37510174 · DOI 10.3390/diagnostics13142429

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Other recruiting trials for Glioma

Currently open trials in the same condition.

Other The First Affiliated Hospital of Zhengzhou University trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04215224.

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