Glioma Patients Registry Based on Radiological Histopathological and Genetic Analysis

  • STATUS
    Recruiting
  • participants needed
    500
  • sponsor
    The First Affiliated Hospital of Zhengzhou University
Send
Updated on 16 February 2024
See if I qualify
genetic analysis
tumor resection
tumour resection
molecular pathology
glioma

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.

Description

Non-invasive and precise prediction for molecular biomarkers such as 1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, and patients survival is challenging for gliomas. With the development of artificial intelligence, much more potential lies in the preoperative conventional/advanced MR imaging (T1 weighted imaging, T2 weighted imaging, FLAIR, contrast-enhanced T1 weighted imaging, diffusion-weighted imaging, and perfusion imaging), and in the histopathology images of HE slices of gliomas could be excavated to aid prediction of molecular pathology and patients' survival of gliomas. This study aims to collect clinical, radiological, pathological, molecular and genetic data including detailed clinical parameters, MR and histopathology images, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and genetic data (Whole exome sequencing, RNA sequencing, proteomics, etc), and 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.

Details
Condition Glioma
Age 1years - 95years
Treatment MR and Histopathology images based prediction of molecular pathology and patient survival
Clinical Study IdentifierNCT04220424
SponsorThe First Affiliated Hospital of Zhengzhou University
Last Modified on16 February 2024

Eligibility

 Yes No Not Sure

Inclusion Criteria

Patients must have radiologically and histologically confirmed diagnosis of primary glioma
Life expectancy of greater than 3 months
Must receive tumor resection
Must have sufficient frozen tissues and peripheral blood samples for sequencing
Must have high-quality MR images and histopathology images
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 malfunctions
Clear my responses
Read more

How to participate?

Step 1 Connect with a study center
Message sent successfully.
We have submitted the information you provided to the research team at the location you chose. For your records, we have sent a copy of the message to your email address.
If you would like to be informed of other studies that may be of interest to you, you may sign up for Patient Notification Service.
Sign up

Send a message

Enter your contact details to connect with study team

Investigator Avatar

Primary Contact

First name*
Last name*
Email*
Phone number*
Other language

Additional screening procedures may be conducted by the study team before you can be confirmed eligible to participate.

Learn more

If you are confirmed eligible after full screening, you will be required to understand and sign the informed consent if you decide to enroll in the study. Once enrolled you may be asked to make scheduled visits over a period of time.

Learn more

Complete your scheduled study participation activities and then you are done. You may receive summary of study results if provided by the sponsor.

Learn more

Similar trials to consider

Browse trials for

genetic analysis
tumor resection
tumour resection
molecular pathology
glioma

Not finding what you're looking for?

Every year hundreds of thousands of volunteers step forward to participate in research. Sign up as a volunteer and receive email notifications when clinical trials are posted in the medical category of interest to you.

Sign up as volunteer
Add a private note
  • abc Select a piece of text.
  • Add notes visible only to you.
  • Send it to people through a passcode protected link.