Actively Recruiting

Age: 1Year - 90Years
All Genders
NCT04215211

MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence

Led by The First Affiliated Hospital of Zhengzhou University · Updated on 2021-02-08

2500

Participants Needed

1

Research Sites

543 weeks

Total Duration

On this page

Sponsors

T

The First Affiliated Hospital of Zhengzhou University

Lead Sponsor

S

Sun Yat-sen University

Collaborating Sponsor

AI-Summary

What this Trial Is About

This registry aims to collect clinical, molecular and radiologic data including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new MR sequences (T1, T1c, T2, FLAIR, ADC, DTI, PWI, etc) of patients with primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine algorithms that able to predict patients' survivals in the frame of molecular pathology or subgroups of gliomas.

CONDITIONS

Official Title

MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence

Who Can Participate

Age: 1Year - 90Years
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • 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
Not Eligible

You will not qualify if you...

  • No gliomas
  • No sufficient amount of tumor tissues for detection of molecular pathology
  • Patients who have any type of bioimplant activated by mechanical, electronic, or magnetic devices
  • Patients who are pregnant or breast feeding
  • Patients who are suffered from severe systematic malfuctions

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University

Zhengzhou, Henan, China, 450052

Actively Recruiting

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Research Team

Z

Zhenyu Zhang, Dr.

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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