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Glioma Patients Registry Based on Radiological, Histopathological and Genetic Analysis

NCT04220424 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2021-02-08

No results posted yet for this study

Summary

This prospective study aims to collect clinical, radiological, pathological, molecular and genetic data including detailed clinical parameters, MR and histopathology images, molecular pathology and genetic sequencing data. By leveraging artificial intelligence, this registry seeks to construct and refine algorithms that able to predict molecular pathology or clinical outcomes of glioma patients based on MR images and histopathology images, as well as revealing related mechanisms from genetic perspective.

Conditions

Interventions

DIAGNOSTIC_TEST

MR and Histopathology images based prediction of molecular pathology and patient survival

MR and Histopathology images based prediction of molecular pathology and patient survival in gliomas by leverage artificial intelligence algorithms

Sponsors & Collaborators

  • Sun Yat-sen University

    collaborator OTHER

  • The First Affiliated Hospital of Zhengzhou University

    lead OTHER

Eligibility

Min Age
1 Year
Max Age
95 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-11-01
Primary Completion
2022-01-01
Completion
2022-03-01

Countries

  • China

Study Locations

More Related Trials

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 NCT04220424 on ClinicalTrials.gov