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FCI in Post-operative Low Grade Gliomas

Non-invasive In-vivo Characterisation of Postoperative Low Grade Gliomas Using Field Cycling Imaging (FCI)

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06294418
Enrollment
9
Registered
2024-03-05
Start date
2024-02-15
Completion date
2026-03-31
Last updated
2026-04-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Glioma

Brief summary

The aim of this pilot study is to explore the utility of a new imaging technique, called Field Cycling Imaging (FCI), in postoperative low grade gliomas. The main question it aims to answer is if FCI can differentiate subtypes of low grade gliomas. Participants will have one FCI scan.

Detailed description

Standard clinical magnetic resonance imaging (MRI) is the mainstay of diagnosis in brain lesions. It is a powerful imaging technique for the non-invasive investigation of the brain and has been an incredibly successful technology since its commercialisation in the 1980s largely due to its excellent spatial resolution and ability to distinguish multiple tissues in multiple planes. When exogenous contrast agents are used, MRI can demonstrate the breakdown of the blood-brain barrier and provide additional physiological information. However, standard MRI has limitations in determining the subtypes of tumours, which originate from different cells and therefore contain differing types of proteins. The aim of this project is to establish if there is a difference in the relaxometry (i.e., loss of MRI signal over time) characteristics of different brain lesions using Field Cycling Imaging (FCI), which is a new technology being developed at the University of Aberdeen. FCI combines the use of a moderately high magnetic field with the ability to probe low magnetic fields so that one can preserve image resolution while also exploiting the high contrast present at low magnetic fields. This provides quantitative data on the molecular dynamics in the tissues, completely non-invasively. For this study, the research team will use FCI to try to establish if there is a difference in the relaxometry characteristics of different low-grade gliomas. Ten patients with postoperative low grade glioma will be included. Each participant will be asked to undergo one FCI scan only. FCI images will be acquired on dedicated equipment, specifically built for the purpose of imaging human volunteers and patients. Participants will carry on receiving their routine clinical care before and after their scan.

Interventions

DEVICEField Cycling Imaging (FCI)

FCI scan

Sponsors

NHS Grampian
Lead SponsorOTHER_GOV
University of Aberdeen
CollaboratorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
16 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients with post operative low-grade glioma. * Capacity to give informed consent. * Capacity to co-operate with the scanning procedures and duration. * Age 16 and above. * Participants who can pass through a 50 cm-diameter circular hoop to ensure they will be able to fit inside the scanner. * Participants who meet the safety criteria for undergoing an MRI scan. * Participants must be mobile enough to be positioned onto the FCI scanner couch.

Exclusion criteria

* MRI-incompatible conditions, as detected in the MRI safety screening form. * Restrictions to mobility that would prevent the correct positioning in the scanner by trained research radiographer (e.g., severe kyphosis). * Participants who are unable to give fully informed consent. * Women who are pregnant. * Participants who are unable to understand or communicate in English. * Patients who suffer from claustrophobia.

Design outcomes

Primary

MeasureTime frameDescription
Differentiation of sub-types of low grade glioma assessed by Field Cycling Imaging (FCI) T1 dispersion profilesAt baselineValidation of FCI T1 dispersion profiles as a non-invasive technology to differentiate sub-types of low grade glioma.

Countries

United Kingdom

Contacts

STUDY_CHAIRArnab K Rana, Dr

University of Aberdeen

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 21, 2026