Glioma of Brain Clinical Trial
Official title:
A New Strategy for the Visulation of Molecular Genotype in Glioma Evolution Based on the Radiomics and Microomics
NCT number | NCT03750890 |
Other study ID # | ZWZ2018 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | January 1, 2019 |
Est. completion date | December 31, 2022 |
The key molecular changes in the progression of glioma are closely related to tumor heterogeneity, pathological grade, precision treatment and prognosis of glioma. At present, a visually quantitative assessment criteria about the key molecular typing of glioma is still absent. Based on the previous research, this project intends to establish a multi-dimensional database of glioma from clinical, radiomics and microomics levels. The investigators aim to filter out the specific molecular markers in the progression of glioma and explore the intrinsic connection of radiomics features and microomics molecular markers by using bioinformatics integration analysis and artificial intelligence multiple kernel learning. Thus, the investigators could determine the specific molecular mechanism in the progression of glioma, and establish a visually quantitative assessment system of pre-operative precisive grading, molecular typing discrimination and prognosis prediction. The completion of this project is of great significance for improving molecular diagnostic level of glioma, guiding individualized diagnosis and treatment decisions, and improving the survival rate of patients.
Status | Recruiting |
Enrollment | 1000 |
Est. completion date | December 31, 2022 |
Est. primary completion date | December 31, 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility |
Inclusion Criteria: 1. postoperative pathological and genetic test confirmed brain glioma; 2. The preoperative Clear and complete multimodal imaging data were collected within 10 days. Exclusion Criteria: 1. patients who underwent surgery more than 4 weeks after MRI; 2. patients with motion artifacts. |
Country | Name | City | State |
---|---|---|---|
China | Zhenxiong Wang | Wuhan | Choose A State Or Province |
Lead Sponsor | Collaborator |
---|---|
Tongji Hospital |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | radiomics features(the parameters of T1WI, T2WI, DWI, DKI, ASL, ESWAN, DCE, MRS and so on) | the radiomics features(the parameters of T1WI, T2WI, DWI, DKI, ASL, ESWAN, DCE, MRS and so on)in the progression of glioma | through study completion, an average of 3 years | |
Primary | microomics molecular markers (IDH mutation, 1p/19q status, P53 mutation, TERT and ATRX mutation, EGFR amplification and mutation, MGMT methylation status, PTEN mutation, ZM fusion gene and other gene features) | the key molecular markers (IDH mutation, 1p/19q status, P53 mutation, TERT and ATRX mutation, EGFR amplification and mutation, MGMT methylation status, PTEN mutation, ZM fusion gene and other gene features) in the progression of glioma | through study completion, an average of 3 years |
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