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Recruiting

NCT Number: NCT05386043

Registering Genomics and Imaging of Tumors (ReGIT)

This study is investigating how brain tumors might mutate over time, and whether new brain imaging tools like MRI and PET can predict these mutations.

Recruiting

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Indiana University School of Medicine

Indianapolis, Indiana, 46202, United States

Location status: Recruiting

Location contact

Jason Parker, PhD

PRINCIPAL_INVESTIGATOR

Mahsa Servati, MS

CONTACT

[email protected]

317-278-3384

About this study

This study is investigating how brain tumors might mutate over time, and whether new brain imaging tools like MRI and PET can predict these mutations. Subjects who are radiologically diagnosed with gliomas and are expected to undergo a tumor biopsy will be enrolled in the study. Subjects will complete two visits and will then undergo a follow-up period. At the baseline visit, subjects will under go a pregnancy test (if applicable), two PET-CT scans using different radioactive tracers, an MRI scan, and blood draws. At the biopsy visit, the subject will undergo an MRI scan as part of their standard of care and at least biopsy samples will be collected for research purposes using stereotactic core biopsy. The study team will take pictures of the locations of tumor samples as they are removed during surgery. The samples then get studied for genetic mutations, and the study team will look at the parts of the image the samples came from to see if they could have been predicted. Follow-up MRIs and potentially other radiology scans will be completed as part of subjects' regular care on a schedule determined by their healthcare provider at the facility ordered by their physician. The study team will follow subjects' care and collect the information from their regularly scheduled treatments and brain scans after their biopsy.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Subject is between 18 and 89 years of age.
  • Subject has radiologically-diagnosed or suspected WHO Grade II-IV glioma based on physician review or conformance with published WHO criteria as evaluated by the PI*.
  • Subject is treatment-naïve with the exception of previous biopsy for the above condition.
  • Subject is planning to undergo surgical resection and biopsy of their brain tumor.
  • Subject has sufficient tissue so that the study team is able to acquire at least 2 biopsy samples during resection.
  • Subject is able to read and write in English.
  • Subject is able to lay supine for up to 80 minutes.
  • Subject is able to hold still during MRI procedures.
  • Subject or their LAR has signed the consent form for participation in the study.

Exclusion criteria

  • Subject has conditions that would preclude the completion of an MRI such as claustrophobia, pacemaker, metal objects in the body, and/or pregnancy.
  • Subject has serious unstable medical or mental illness.
  • Subject has insufficient tissue to acquire at least two biopsy samples during resection.
  • Subject has a medical contraindication to any element of the study procedures.
  • Subject or their LAR has not read and signed the informed consent form, or does not understand its contents.
  • Subject is pregnant.**
  • Subject is at high risk for NSF (eGFR<60 or serum creatine >1.3) and cannot follow the weight-based dosing protocol for Gadavist.***

Treatment and study plan

FET F-18

Drug

PET scan with FET prior to biopsy

O-15 Radioisotope

Drug

PET scan with O-15 Water prior to biopsy

Other names: O-15 Water

CT Scan

Procedure

CT scan prior to biopsy

MRI with gadolinium-based contrast

Procedure

MRI prior to biopsy

Biopsy Collection

Procedure

Biopsy collection during standard of care neurosurgery for glioma diagnosis/excision

Primary outcomes

  1. Classification sensitivity

    Time frame: Through study completion, an average of 1 year.

    Statistical evaluation of the area under the ROC curve. 3.1.1 SMM classification sensitivity to >80% 3.1.2 Reduce computation time by a factor of 10, and maintain accuracy (>.95)

  2. Multivariate analysis

    Time frame: 2032

    Statistically determine if MRI, and 15O-H2O and FET-PET (if available) independently predict multiscale properties and together improve classification accuracy and sensitivity for SMM compared to 5 baseline MR sequences

  3. Survival

    Time frame: 2032

    Statistically determine if SMM classifications using MRI, and 15O-H2O and FET-PET (if available) can predict progression-free survival (PFS) and overall survival (OS), and individual voxel responses to chemotherapy and radiation therapy.

Study contacts

Contact information is provided by the study sponsor or research team.

Jason Parker, PhD

CONTACT

[email protected]

(317) 274-2072

Jason Parker, PhD

CONTACT

[email protected]

317-274-2072

Sponsors and collaborators

Lead sponsor

Indiana University

Other

Collaborators

  • Children's Hospital of Philadelphia

Registry information

Acronym: ReGIT

Important dates

Study start
2023
Primary completion
2030
Study completion
2032
First posted
May 23, 2022
Registry last updated
Sep 15, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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