Predicting Sites of Tumour Progression in the Invasive Margin of Glioblastomas (PRaM-GBM Study)
NCT ID: NCT03294434
Last Updated: 2024-09-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
147 participants
OBSERVATIONAL
2017-03-02
2024-07-11
Brief Summary
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Better understanding of the invasive margin might improve outcomes by facilitating more complete surgical resection beyond the traditional contrast enhancing margins. Diffusion tensor MRI (DTI) is an imaging technique which may be able to predict the site of tumour recurrence. DTI has previously been shown to identify regions, which have been confirmed with biopsies, to be areas of invasive tumours and are present before progression is seen with an MRI.
The primary aim of this study is to qualify an imaging biomarker that can be applied at initial presentation, that can accurately predict the site of where glioblastomas will progress after treatment and allow personalisation of both radiotherapy and surgical targets.
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Detailed Description
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Patients will be given a DTI-MRI both prior to the operation and prior to radiotherapy. Clinical MRIs will take place according to standard guidelines. Whilst the study is open patients will participate in the study until death. Once a total of 70 patients from the first 90 have shown true progression patients will participate in the study for a minimum of 6 months from the beginning of radiotherapy.
This study will be conducted in 6-10 NHS centres, where 120 patients will be recruited, patients who are withdrawn will be replaced.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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High Grade Glioma
Diffusion tensor Imaging (DTI-MRI) scan to be performed pre-operatively and pre-radiotherapy
Diffusion tensor Imaging (DTI)
Diffusion tensor Imaging (DTI) is a technique sensitive to the ordered diffusion of water along white matter tracts and can detect subtle disruption. A diffusion tensor signature method was developed that splits the tensor information into isotropic and anisotropic diffusion components. This can differentiate regions of pure tumour from invaded white matter.
Interventions
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Diffusion tensor Imaging (DTI)
Diffusion tensor Imaging (DTI) is a technique sensitive to the ordered diffusion of water along white matter tracts and can detect subtle disruption. A diffusion tensor signature method was developed that splits the tensor information into isotropic and anisotropic diffusion components. This can differentiate regions of pure tumour from invaded white matter.
Eligibility Criteria
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Inclusion Criteria
* Assessed by a neuroscience MDT to have a high grade glioma on imaging, OR if in the opinion of the CI, with guidance from the local PI that all relevant and appropriate members of a multidisciplinary team agree a high grade glioma diagnosis;
* Considered suitable for radical radiotherapy (60 Gy) with concomitant chemotherapy (Stupp Regime);
* WHO PS 0 or 1 (see Appendix 3);
* Age ≥16;
* Patient suitable for tumour resection where the treating neurosurgeon feels that \>90% of the enhancing tumour will be resected;
Exclusion Criteria
* Patients who are unsuitable for a contrast-enhanced MRI will be excluded. Such clinical problems include, but are not limited to:
* MR unsafe metallic implants;
* Claustrophobia;
* Allergy to gadolinium contrast agent;
* History of severe renal impairment.
* Patients unable to provide written informed consent
* PET sub-study only: Pregnant women
16 Years
ALL
No
Sponsors
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Cambridge University Hospitals NHS Foundation Trust
OTHER
Cancer Research UK
OTHER
Experimental Cancer Medicine Centres
OTHER
CCTU- Cancer Theme
OTHER
Responsible Party
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CCTU- Cancer Theme
CCTU-Cancer Theme
Principal Investigators
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Stephen Price
Role: PRINCIPAL_INVESTIGATOR
Cambridge University Hospitals NHS Foundation Trust
Locations
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Cambridge University Hospitals NHS Foundation Trust
Cambridge, , United Kingdom
Countries
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Other Identifiers
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PRaM-GBM
Identifier Type: -
Identifier Source: org_study_id
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