- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06234319
CXCR4 PET/MRI Targeted Imaging for Grading Diagnosis, Molecular Typing, and Prognostic Evaluation of Brain Glioma
March 3, 2024 updated by: Xiao Chen
Clinical Study on CXCR4 PET/MRI Targeted Integrated Imaging for Grading Diagnosis, Molecular Typing, and Prognostic Evaluation of Brain Glioma
This project intends to evaluate the role of C-X-C chemokine receptor type 4 (CXCR4) targeted PET/MRI integrated imaging in the grading and molecular typing of brain gliomas, using primary glioma patients as the research subjects and post-operative histopathological analysis as the reference, and to establish an evaluation model for the prognosis of primary glioma patients.
Study Overview
Detailed Description
- PET/MRI Scan: Image acquisition was completed 15 days before surgery. CXCR4 contrast agent was injected at 6.5 MBq/kg based on body mass, with no drug extravasation, and imaging was performed after 60 minutes of quiet rest. All subjects were scanned in a supine position on a single bed of the Signa™ 3.0T scanner (GE Healthcare Systems), using a 3.0T gem HNU head coil with a scanning field of view focused on the head. PET acquisition lasted for 20 minutes and was reconstructed using OSEM. Simultaneous MRI acquisition included MR-based attenuation correction (MRAC) - zero echo time pulse sequence (ZTE), as well as structural and functional MRI sequences (T1WI, T2WI, FLAIR, DWI, MRS, DSC, T1-CE). Image fusion was performed on a GE post-processing workstation.
- Image Analysis and Observation Indicators: PET/MRI images were independently reviewed and processed by two experienced neuroradiologists. Using IKT-SNAP software, target lesion VOIs were outlined based on FLAIR and T1-CE sequences. VOI delineation on the FLAIR sequence included solid tumor components, necrotic areas, and surrounding abnormal FLAIR signal regions. VOI delineation on the T1-CE sequence included enhanced solid components, non-enhanced solid components, and necrotic areas. MRI parameters (diffusion-weighted imaging parameters: ADC; perfusion imaging parameters: CBF, CBV, MTT, TTP; spectroscopic parameters: NAA, Cho, Cr, Lac, NAA/Cr, Cho/Cr) and PET parameters (SUVmax, SUVmean, SUVpeak, CXCR4 metabolic volume, TBR) were measured throughout the tumor and corresponding regions.
- Pathological Analysis: Slices containing no less than 25% tumor tissue were used, with each slice having a thickness of 4um. HE, CD34, and CXCR4 immunohistochemical staining were performed separately. Two senior pathologists reviewed the slides using a double-blind method. IDH mutation status and 1p/19q deletion status were determined by the pathology department.
Study Type
Observational
Enrollment (Estimated)
60
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Du ZHenwei, Ph.D
- Phone Number: +8618580503880
- Email: peter11dzw@126.com
Study Locations
-
-
Chongqing
-
Chongqing, Chongqing, China, 400000
- Recruiting
- Department of Nuclear Medicine, Daping Hospital of Army Medical University
-
Contact:
- Chen Xiao
- Phone Number: +8615922970174
- Email: xiaochen229@foxmail.com
-
Contact:
- Du Zhenwei
- Phone Number: +8618580503880
- Email: peter11dzw@126.com
-
Principal Investigator:
- Chen Xiao
-
Sub-Investigator:
- Du Zhenwei
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Probability Sample
Study Population
The subjects are adults with newly diagnosed primary glioma, regardless of gender.
Description
Inclusion Criteria:
- Patients diagnosed with primary glioma based on clinical, imaging, and histopathological criteria;
- The patient is at least 18 years old;
- Participate in CXCR4 PET/MRI imaging within 15 days before surgery;
- Surgical resection of glioma lesion tissue can be used for pathological analysis;
- The patient voluntarily participates and signs the informed consent form.
Exclusion Criteria:
- Pregnant or breastfeeding patients;
- The image quality of the imaging is poor and cannot be used for diagnosis and evaluation;
- Molecular typing was not determined by histologic examination;
- patients with claustrophobia;
- Patients who are allergic to radioactive tracers and MRI contrast agents, and patients with renal insufficiency.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Standardised uptake values
Time Frame: completed within one week after the PET/MRI examination
|
Standardised uptake values of suspected glioma disease in CXCR4 PET/MRI imaging
|
completed within one week after the PET/MRI examination
|
|
expression of CD34
Time Frame: completed within one week after surgery
|
Immunohistochemical evaluation of the expression of CD34 in postoperative tumor tissue
|
completed within one week after surgery
|
|
expression of CXCR4
Time Frame: completed within one week after surgery
|
Immunohistochemical evaluation of the expression of CXCR4 in postoperative tumor tissue
|
completed within one week after surgery
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
SUV and histological grading of glioma
Time Frame: through study completion, an average of 1 year
|
Correlation between SUV and histological grading of glioma
|
through study completion, an average of 1 year
|
|
CXCR4 expression and histological grading of glioma
Time Frame: through study completion, an average of 1 year
|
Correlation between CXCR4 expression and histological grading of glioma
|
through study completion, an average of 1 year
|
|
SUV and IDH mutation status
Time Frame: through study completion, an average of 1 year
|
Correlation between SUV and IDH mutation status
|
through study completion, an average of 1 year
|
|
SUV and 1p/19q deletion status
Time Frame: through study completion, an average of 1 year
|
Correlation between SUV and 1p/19q deletion status
|
through study completion, an average of 1 year
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Chen Xiao, Ph.D, Daping Hospital, Army Medical University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
February 15, 2024
Primary Completion (Estimated)
December 31, 2025
Study Completion (Estimated)
December 31, 2025
Study Registration Dates
First Submitted
January 4, 2024
First Submitted That Met QC Criteria
January 29, 2024
First Posted (Actual)
January 31, 2024
Study Record Updates
Last Update Posted (Estimated)
March 5, 2024
Last Update Submitted That Met QC Criteria
March 3, 2024
Last Verified
March 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 20230294
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.