Using Fluoroethyltyrosine to detect brain tumors
Official title: Fluoroethyltyrosine for the Evaluation of Intracranial Neoplasm
Run by University of California, San Francisco · NCT06474533 · Data updated 2026-11-12
This study is testing if a special type of brain scan can help doctors better identify and understand brain tumors in people who might have recurring or new tumors.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 4 Years and up |
| Sex | All |
| Enrollment | 199 (estimated) |
| Sponsor | University of California, San Francisco Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (San Francisco, California) |
| Status | Recruiting |
| Started | June 21, 2024 |
| Main results expected | August 31, 2028 |
| Study ends | August 31, 2028 |
| Registry record updated | August 27, 2026 |
| Trial ID | NCT06474533 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults with suspected intracranial neoplasms, particularly those with recurrent high-grade gliomas or metastatic lesions, as well as patients prior to primary treatment.
✕Probably not a fit
Patients with known incompatibility to PET or MRI scans, or those unlikely to comply with study procedures, may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study investigates the effectiveness of Fluoroethyltyrosine (FET) Positron Emission Tomography (PET) scans in identifying and characterizing intracranial neoplasms, particularly in differentiating between benign treatment-related changes and tumor recurrence. The study focuses on two populations: those with suspected recurrent high-grade gliomas and metastatic disease, and those prior to primary treatment. Participants will receive a single FET PET scan, with the possibility of up to two repeat scans, to assess the relationship between imaging results and clinical outcomes. Adverse events will be monitored throughout the study.
Why it matters
Potential benefit: If successful, this study could improve the accuracy of brain tumor detection and characterization, leading to better treatment decisions for patients.
How similar studies have gone: Other studies have shown promising results using similar imaging techniques for brain tumors, suggesting potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria:
* Presence or suspicion of intracranial neoplasm in two populations:
* Population 1: Participants after primary treatment (radiation therapy and/or surgery) with suspicion of recurrence on MRI.
* Three sub-populations will be considered:
* Recurrent metastatic lesions.
* Recurrent high-grade gliomas (Grades 3 and 4).
* Recurrent low-grade gliomas (Grade 2).
* Population 2: Participants prior to primary treatment with planned biopsy or surgical resection.
* Age \> 3 years.
Participants in other clinical trials will be eligible for this study including patients undergoing surgery guided by 5-aminolevulinic acid.
Exclusion Criteria:
* Participants with known incompatibility to PET or Computerized tomography (CT)/magnetic resonance imaging (MRI) scans.
* Participants unlikely to comply with study procedures, restrictions and requirements and judged by the Investigator to be unsuitable for study participation.
* Sedation or anesthesia can be used for participants who cannot tolerate the exam.
Where it's running
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University of California, San Francisco
San Francisco, California, United States Recruiting
Study contacts
- Principal investigator: Michael Thomas, MD — University of California, San Francisco
- Study coordinator: Louise Magat
- Email: Louise.Magat@ucsf.edu
- Phone: (415) 502-1822
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.