MR Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence

  • STATUS
    Recruiting
  • End date
    Jun 1, 2027
  • participants needed
    3000
  • sponsor
    The First Affiliated Hospital of Zhengzhou University
Updated on 19 February 2024
tumor resection
flair
tumour resection
molecular pathology
glioma

Summary

This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, 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 molecular pathology or subgroups of gliomas.

Description

Non-invasive and precise prediction for molecular biomarkers such as 1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations is challenging. 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) could be excavated to aid prediction of molecular pathology of gliomas. The creation of a registry for primary glioma with detailed molecular pathology, radiological data and with sufficient sample size for deep learning (>1000) provide considerable opportunities for personalized prediction of molecular pathology with non-invasiveness and precision.

Details
Condition Glioma
Age 1years - 95years
Treatment Prediction of molecular pathology
Clinical Study IdentifierNCT04217018
SponsorThe First Affiliated Hospital of Zhengzhou University
Last Modified on19 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
Signed informed consent

Exclusion Criteria

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 malfunctions
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