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FCI-Glioblastoma Study

Applying New MRI Technology to Improve Outcomes From Chemoradiotherapy Treatment for Adult Patients With Glioblastoma

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07443176
Enrollment
18
Registered
2026-03-02
Start date
2026-05-01
Completion date
2027-12-01
Last updated
2026-04-30

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

Conditions

Glioblastom WHO Grade 4

Keywords

Glioblastoma, Field-Cycling Imaging, FCI, MRI

Brief summary

The goal of this study is to test if a new type of MRI scanner, called Field-Cycling Imaging (FCI), can tell the difference between tumour growth (progression) and 'pseudo-progression' (which looks like tumour but is not cancerous tissue) in patients with glioblastoma. The main question it aims to answer is: • Can FCI differentiate glioblastoma progression from pseudo-progression? Participants will undergo a standard MRI scan and an FCI scan, three times during the study. One before starting adjuvant chemotherapy, another one after three cycles and one at the end of treatment.

Interventions

OTHERBaseline Field-Cycling Imaging research scan

FCI scan at baseline

OTHERBaseline 3T MRI research scan

MRI scan at baseline

OTHERSecond Field-Cycling Imaging research scan

FCI scan after three cycles of chemotherapy

OTHERSecond 3T MRI research scan

MRI scan after three cycles of chemotherapy

OTHERFinal Field-Cycling Imaging research scan

FCI scan at the end of chemotherapy

OTHERFinal 3T MRI research scan

MRI scan at the end of chemotherapy

Sponsors

University of Aberdeen
Lead SponsorOTHER
NHS Grampian
CollaboratorOTHER_GOV

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

* Patients scheduled to have standard adjuvant temozolomide treatment for glioblastoma, within four weeks following radical radiotherapy with concomitant temozolomide * 18 to 70 years old * Life expectancy at least 12 weeks * Able to undergo MRI scans lasting up to 1 hour each * On stable or reducing dose of steroids for at least 5 days * Able to provide informed consent * Able to understand written and spoken English

Exclusion criteria

* Previous treatment for glioblastoma other than surgery and chemoradiation. * Previous radiotherapy to brain and/or prior chemotherapy for lower grade glioma. * Planned additional treatment with Tumor-Treating Fields * Previous cytotoxic wafers or implants at the time of neurosurgery * Uncontrolled intercurrent illness * Being pregnant or nursing * Conventional MRI contraindications * Known allergy to contrast agent * Unable to provide informed consent

Design outcomes

Primary

MeasureTime frameDescription
Comparisons of FCI with a) the MRI images at 6 months from start of chemotherapy (tumour/no tumour) and, b) clinical judgement of Consultant Clinical Oncologist and Consultant Neuroradiologist on presence of tumour (or not) at 6 months.At six months after baselineR1 maps will be generated from FCI data acquired at each field using a multi-field fitting approach. R1 values will be extracted from the co-registered 3T tissue maps and compared between tissue types and with 3T measures of tissue physiology such as perfusion, ADC, FA and T2\*. The dispersion profiles will be fitted using a power law model to extract the scaling factor (A) and the exponent (β), with adaptations if required.

Secondary

MeasureTime frameDescription
Identifying unique imaging biomarkers of tissue structure that yield additional diagnostic information over existing non-invasive imaging methods, which could be tested in future clinical trials.At six months after baselineFor identification of potential biomarkers, FCI images will be registered to the MRI images to obtain the T1 NMRD profiles of the pseudo-progressions. Dispersions models will be applied similarly to previous in vitro studies and comparison tests will be used to determine the best biomarker candidates that discriminate tumour residues from total clearance.

Countries

United Kingdom

Contacts

CONTACTAnne Kiltie, Prof
anne.kiltie@abdn.ac.uk+44 1224438651
CONTACTRafael Moleron, Dr
rafael.moleron@nhs.scot
STUDY_CHAIRAnne Kiltie, Prof

University of Aberdeen

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 1, 2026