Clinical, patHOlogical and Imaging Project of nEuro-oncology (HOPE)

NCT ID: NCT05859659

Last Updated: 2023-05-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

3500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-01

Study Completion Date

2024-12-31

Brief Summary

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Glioma disease is the most common primary malignant tumor of the central nervous system, with an annual incidence of about 3-8 people per 100,000 population, of which glioblastoma with the highest degree of malignancy and the worst prognosis accounts for 70-75%. The construction goal of this project is to construct a multivariate retrospective glioma database (3000 cases) integrating clinical information, magnetic resonance imaging examination and molecular pathological results, and a prospective glioma database (500 cases) integrating advanced magnetic resonance sequences. It aims to form a standardized database integrating clinical-prognostic information, magnetic resonance imaging and pathological results. Based on the construction of the above standardized database, the specifications for the acquisition of cranial magnetic resonance images, the image segmentation and labeling process, and the expert consensus on database construction and use management of glioma diseases were established. Form a multimodal, large-capacity, high-quality, and rich medical imaging database that conforms to the characteristics of Chinese groups and clinical diagnosis and treatment norms; On this basis, the data are dynamically updated, in-depth mining, and the classification and grading standards of glioma diseases, prognosis judgment criteria and treatment efficacy evaluation system are formulated.

Detailed Description

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Glioma disease is the most common primary malignant tumor of the central nervous system, with an annual incidence of about 3-8 people per 100,000 population, of which glioblastoma with the highest degree of malignancy and the worst prognosis accounts for 70-75%. The construction goal of this project is to construct a multivariate retrospective glioma database (3000 cases) integrating clinical information, magnetic resonance imaging examination and molecular pathological results, and a prospective glioma database (500 cases) integrating advanced magnetic resonance sequences. It aims to form a standardized database integrating clinical-prognostic information, magnetic resonance imaging and pathological results. Based on the construction of the above standardized database, the specifications for the acquisition of cranial magnetic resonance images, the image segmentation and labeling process, and the expert consensus on database construction and use management of glioma diseases were established. Form a multimodal, large-capacity, high-quality, and rich medical imaging database that conforms to the characteristics of Chinese groups and clinical diagnosis and treatment norms; On this basis, the data are dynamically updated, in-depth mining, and the classification and grading standards of glioma diseases, prognosis judgment criteria and treatment efficacy evaluation system are formulated.

Conditions

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Glioma

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Molecular pathology of glioma positive

This study does not intervene in this process.

Intervention Type DIAGNOSTIC_TEST

This study does not intervene in this process.

Molecular pathology of glioma negative

This study does not intervene in this process.

Intervention Type DIAGNOSTIC_TEST

This study does not intervene in this process.

Interventions

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This study does not intervene in this process.

This study does not intervene in this process.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* (1) a clear diagnosis of glioma based on pathological results;
* (2) The MRI sequence is complete and there are no obvious artifacts in the image;
* (3) The patient signs an informed consent form

Exclusion Criteria

* (1) Suffering from other neurological diseases;
* (2) Prior to enrollment, surgery or biopsy, or a history of radiation therapy or chemotherapy;
* (3) Unable to complete clinical scoring and related laboratory tests, unable to complete follow-up;
* (4) Unable to tolerate MRI examination; Poor image quality, such as motion artifacts.
Minimum Eligible Age

18 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Beijing Tiantan Hospital

OTHER

Sponsor Role lead

Responsible Party

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Yaou Liu

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Yaou Liu, Doctor

Role: PRINCIPAL_INVESTIGATOR

Beijing Tiantan Hospital

Locations

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Beijing Tiantan Hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Yaou Liu, Doctor

Role: CONTACT

+86 1059975396

Junjie Li, Master

Role: CONTACT

86-19834515120

Facility Contacts

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Yaou Liu, PhD

Role: primary

Other Identifiers

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KY2022-078-04

Identifier Type: -

Identifier Source: org_study_id

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