NCT03294434

Brief Summary

Brain tumours are the leading cause of cancer deaths in children, men under the age of 45 and women under the age of 25. Glioblastoma is the most common and most malignant primary tumour. The predominant treatment is surgical removal of the tumour followed by radiotherapy. Sadly the majority of patients given this treatment develop recurrent and progressive disease. 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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
147

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Mar 2017

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

March 2, 2017

Completed
7 months until next milestone

First Submitted

Initial submission to the registry

September 22, 2017

Completed
5 days until next milestone

First Posted

Study publicly available on registry

September 27, 2017

Completed
6.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 11, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 11, 2024

Completed
Last Updated

September 27, 2024

Status Verified

September 1, 2024

Enrollment Period

7.4 years

First QC Date

September 22, 2017

Last Update Submit

September 26, 2024

Conditions

Outcome Measures

Primary Outcomes (1)

  • Site of glioblastoma true progression correctly predicted by DTI scan

    Assess the diagnostic accuracy of DTI at pre-surgery or/and pre-radiotherapy as a biomarker to predict site of glioblastoma progression

    18 months

Secondary Outcomes (5)

  • Accuracy of DTI as a biomarker

    18 months

  • Perfusion imaging

    18 months

  • Time to progression

    18 months

  • Extent of resection and volume of tumour that remains post-surgery by standard imaging and DTI

    18 months

  • Radiotherapy dose according to DTI-defined invasive region

    18 months

Other Outcomes (3)

  • Difference of area highlighted by amino-acid PET and DTI-MRI

    18 months

  • Number of amino-acid PET only image guided biopsies taken from patients

    18 months

  • Site of glioblastoma true progression correctly predicted from pre-operative imaging by a region that is predicted by the DTI abnormality outside of the area of increased uptake to amino-acid on PET

    18 months

Study Arms (1)

High Grade Glioma

Diffusion tensor Imaging (DTI-MRI) scan to be performed pre-operatively and pre-radiotherapy

Other: Diffusion tensor Imaging (DTI)

Interventions

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.

High Grade Glioma

Eligibility Criteria

Age16 Years+
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Male and female patients aged 16 and over with newly diagnosed glioblastomas

You may qualify if:

  • Have given written informed consent to participate
  • 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;

You may not qualify if:

  • Patients who are participating in trials involving investigational treatments
  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Cambridge University Hospitals NHS Foundation Trust

Cambridge, CB2 0QQ, United Kingdom

Location

Biospecimen

Retention: SAMPLES WITH DNA

Patients that consent to participate in the optional PET sub-study will consent to the collection of additional tissue biopsies to be taken at the time of their standard of care surgery.

MeSH Terms

Conditions

Glioma

Interventions

Diffusion Tensor Imaging

Condition Hierarchy (Ancestors)

Neoplasms, NeuroepithelialNeuroectodermal TumorsNeoplasms, Germ Cell and EmbryonalNeoplasms by Histologic TypeNeoplasmsNeoplasms, Glandular and EpithelialNeoplasms, Nerve Tissue

Intervention Hierarchy (Ancestors)

NeuroimagingDiagnostic ImagingDiagnostic Techniques and ProceduresDiagnosisDiffusion Magnetic Resonance ImagingMagnetic Resonance ImagingTomographyDiagnostic Techniques, NeurologicalInvestigative Techniques

Study Officials

  • Stephen Price

    Cambridge University Hospitals NHS Foundation Trust

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
CCTU-Cancer Theme

Study Record Dates

First Submitted

September 22, 2017

First Posted

September 27, 2017

Study Start

March 2, 2017

Primary Completion

July 11, 2024

Study Completion

July 11, 2024

Last Updated

September 27, 2024

Record last verified: 2024-09

Data Sharing

IPD Sharing
Will not share

Locations