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| ID | Type | Description | Link |
|---|---|---|---|
| CDF-2018-11-ST2-003 | Other Grant/Funding Number | National Institute of Health Research (NIHR) |
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This study provides a work package for a larger programme of research developing Precision Surgery for Glioblastomas by developing individualised treatment volumes for surgery and radiotherapy. This study will recruit a cohort of patients with tumours in different brain regions and involve imaging pre- and post-operatively to outline the area of 'injury' to normal brain. The investigators will then correlate anatomical disruption with changes in measures of quality of life, visual functioning and visual fields and neuropsychology.
This study aims to explore the effect of surgically induced visual and neuro-cognitive defects on patient functioning and quality of life. The aims of this study are:
Patient Assessment: Patients will be assessed using the following tools.
Ophthalmological assessment - will include:
MR imaging - imaging protocol will include:
Assessment of visual functioning - using the National Eye Institute Visual Function Questionnaire-25 (NEI VFQ-25) - this 25 item questionnaire assesses difficulty with activities that require vision and their impact on quality of life.
Health related quality of life - will be assessed using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire -30 (EORTC-QLQ30) with the Brain Tumour 20 module (BN20).
Cognitive function - neuropsychological will be performed using the OCS-Bridge cognitive screening battery (https://ocs-bridge.com/about.html) on a tablet computer. It takes up to 30minutes to complete:
Timings of assessments will be:
Analysis of Clinical Data:
Visual deterioration will be defined as either deterioration in visual acuity (reduction in LogMAR >0.2), or an increase in visual field loss. Deterioration in the NEI-VFQ25 will be determined by published minimal important clinical differences.
Cognitive deterioration: significant abnormalities in cognition are defined as >2 standard deviations from established data from normal patients.
Changes in quality of life: as the investigators expect undergoing surgery alone may be associated with deterioration in quality of life, using published, minimally important clinical differences may not be valid. Instead the investigators will use the reliable change index (RCI) - this this is an individual's score computed as the difference in the baseline and delayed assessment tests divided by the standard error of the difference of the test calculated from a cohort of patients who have undergone an image-guided biopsy (i.e. underwent surgery under anaesthesia with minimal brain disruption) as control subjects.
MR Image Analysis:
Voxel-based lesion-symptom mapping will be used to identify the relationships between the surgical site location assessed on MRI and DTI with deterioration in quality of life using methods described in other studies mapping lesions to language and visual deficits.
DTI imaging data will study white matter disruption and will be processed in a number of ways -
Resting state functional MRI will assess changes to the integrity of brain functional networks and connections. Analysis will include -
Objectives and key deliverables: The primary objective will be to assess impact of developing a new, permanent surgically-induced visual or cognitive lesion has on quality of life. This will be achieved by understanding the effect of surgically induced visual/cognitive defects on quality of life. This will be achieved by comparing quality of life and NEI-VFQ25 scores for patients with and without newly developed surgically induced deficits.
Secondary objectives will include:
Explore which anatomical/functional regions will lead to deterioration in quality of life, neurocognitive function and NIE-VFQ25 scores. This will be achieved by:
Investigate recovery of surgically-induced visual/cognitive deficits. This will be studied by comparing visual and cognitive function between initial post-operative assessment and before starting radiotherapy.
Quantifying white matter tract disruption by correlating DTI metrics with development of new visual deficits.
Assess impact of cognitive reserve on surgically induced cognitive deficits by assessing cognitive decline with different degrees of cognitive reserve.
The investigators will use the data to explore the impact on surgery and changes in cognition and quality of life with disruption of functional brain networks as an exploratory outcome.
Patient Numbers: By recruiting 21 patients with visual deficits and comparing their mean RCI values with 21 patients without such deficits (as controls), an effect size of 0.8 (large) can be detected with 80% probability in a one-sided test (5% type I error rate). An effect size of 0.6 would be detected with a 60% probability under the same conditions with that sample size. From our pilot study data the investigators assume a 25% rate of visual deficit, and therefore 84 patients need to be recruited as a minimum to achieve the required sample size per group. A further 21 patients with frontal lobe lesions will be recruited to look for cognitive decline, and then (generously) assume a 15% drop out figure, so that the total patient numbers will be 120 for this work-package.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control group | 30 patients undergoing biopsy for brain tumour. They have the effect of the tumour but not the impact of surgery. Changes in QoL will inform the RCI measures planned | ||
| Surgery Group | The main test group. This group have been determined by their treating surgeon to undergo a resection of the tumour so will be different from the control arm by undergoing a safe, maximal resection of their tumour |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Maximal, safe resection of brain tumour | Procedure | Standard surgical resection as part of routine care |
|
| Measure | Description | Time Frame |
|---|---|---|
| Impact of new deficit on quality of life | Comparison of quality of life measures (using EORTC QLQ30 with BN20 module scores) for patients with and without newly developed surgically induced deficits. These are standard tools for assessing patient reported quality of life | 5 +/- 1 weeks post surgery (delayed assessment as defined above) |
| Measure | Description | Time Frame |
|---|---|---|
| Anatomical disruption | Anatomical disruption will be achieved by:
| Within 72 hours of surgery (early assessment as defined above) |
| Recovery of visual deficits |
| Measure | Description | Time Frame |
|---|---|---|
| Cognitive reserve | Patients will be divided at baseline into three categories of cognitive reserve using the CRq questionnaire that estimates high, medium and low cognitive reserve. We will correlate these categories with changes in cognitive assessments using the OCS-Bridge tool. | 5 +/- 1 weeks post surgery (delayed assessment as defined above) |
Inclusion Criteria:
Exclusion Criteria:
Such clinical problems include, but are not limited to:
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Glioblastoma patients presenting to a single neurosciences MDT
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| Name | Affiliation | Role |
|---|---|---|
| Stephen J Price, PhD FRCS | University of Cambridge | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stephen Price | Cambridge | CB2 0QQ | United Kingdom |
This is being explored as part of a United Kingdom's Cancer Research UK initiative
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| ID | Term |
|---|---|
| D005909 | Glioblastoma |
| ID | Term |
|---|---|
| D001254 | Astrocytoma |
| D005910 | Glioma |
| D018302 | Neoplasms, Neuroepithelial |
| D017599 | Neuroectodermal Tumors |
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Tumour samples will be retained as part of routine care in our Tumour Bank
Investigate recovery of surgically-induced visual deficits by comparing visual function between early assessment and delayed assessment (before starting radiotherapy). Definitions of visual deficits have been clearly defined in the protocol. To confirm they are - Visual deterioration will be defined as either deterioration in visual acuity (reduction in LogMAR >0.2), or an increase in visual field loss. Deterioration in the NEI-VFQ25 will be determined by published minimal important clinical differences.
| 5 +/- 1 weeks post surgery (delayed assessment as defined above) |
| Recovery of cognitive deficits using OCS-Bridge tool | Investigate recovery of surgically-induced cognitive deficits (measured using the OCS-Bridge tool) by comparing cognitive function between early assessment and delayed assessment. Definitions of cognitive deficits are defined as >2 standard deviations from established data from normal patients. | Within 72 hours of surgery (early assessment as defined above) |
| Quantifying white matter tract disruption | Quantifying white matter tract disruption by correlating DTI metrics with development of new visual deficits. This will be made by comparing visual field deficits (defined as the angle of field loss at delayed assessment compared to baseline) with extent of white matter disruption on DTI (defined from changes in DTI from baseline to early assessment). | 5 +/- 1 weeks post surgery (delayed assessment as defined above) |
| Impact of deficits on overall survival | Explore impact of new visual and cognitive deficit has on overall survival (defined as date of death from any cause, measured in weeks, assessed up to 3 years post-operatively), compared to patients that don't develop these deficits | Developing a deficit/not developing deficit will be classified at 6 weeks of surgery (pre-RT). Overall survival figures will be followed until the death of the patient or six months from the last patient undergoing their post-RT assessment. |
| D009373 |
| Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009380 | Neoplasms, Nerve Tissue |