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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UNKNOWN
NA
50 participants
INTERVENTIONAL
2021-03-28
2023-10-30
Brief Summary
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Detailed Description
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Because of these premises, the concept of "functional margins of resection" is now established in the neurosurgical community: a tumour is resected and the resection is pushed up to 1-2 cms beyond the margins or only up to the point where a functional/eloquent area is found. If the latter is the case, the functional area is obviously preserved and tumour resection is stopped. Identifying these areas is the main challenge in brain tumour surgery.
The aim of this study and its scientific justification is to refine a new, potentially more practical and quick technique to identify functional brain areas in real time. This study can serve as a benchmark study to both improve surgery of brain tumours and increase our knowledge about brain tumours and eloquent brain vascular supply. This technique can also potentially be implemented to obtain a novel technology to assess brain perfusion during neurosurgical procedures. Maintaining blood supply to healthy brain tissue is a key component of successful neuro-oncological surgery. Multispectral/hyperspectral analysis can be evaluated as a complementary tool to assess brain perfusion in real-time and prevent post-operative devastating neurological complications, such as strokes, or significantly reduce the secondary damage would these complications occurr.
The present project consists of a pilot observational study on patients diagnosed with brain tumours candidate for a neurosurgical operation.
From a practical point of view, participation in the study will only imply that some images will be acquired during surgery and processed at a later stage. The study won't impact on patients' care at any stage, nor will produce results that will be relevant for future medical records of patients enrolled. Patients will be approached about this study at the time of their first neuro-oncology clinic consultation. A member of the research team will be present at the time of the consultation and will explain in details what are the purposes and the methods of the present study.
Conditions
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Study Design
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NA
SINGLE_GROUP
OTHER
NONE
Study Groups
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Patients with brain tumours candidate for neurosurgery
Patients will be recruited following the inclusion criteria: any patient with a diagnosis of brain tumour, age ranging from 18 with no upper limit, who will agree to the operation and to take part of the present study, will be enrolled. During surgery, multispectral and/or hyper spectral acquisition of images from the surgical field will be performed. Each patient will have an average acquisition of 6 datasets. As each dataset will correspond to an image, this will be divided into many reading regions (from 10 to 20) for a total of approximatively 60 measurements per patient.
Intra-operative multispectral / hyperspectral analysis
During surgery, the operating surgeon will be using standard NHS neurosurgical equipment such as an endoscope and/or a microscope. This equipment is operated in exactly the same way as with any other procedure, but either the microscope or the endoscope in use will be connected to the system of camera and filters for multispectral/hyperspectral analysis. During each surgical intervention, tissue-specific spectral data will be collected at specific stages - mostly once the brain surface is exposed and at the end of the resection on the surgical cavity. The operation will be visually recorded in order to sync visual data with the spectral data obtained at the same moment in time. The video recording will not be patient identifiable and will be viewed only by members of the research team working on this project (see below). The use of video recording equipment will be included in the patient information sheet given to all patients prior to gaining consent
Interventions
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Intra-operative multispectral / hyperspectral analysis
During surgery, the operating surgeon will be using standard NHS neurosurgical equipment such as an endoscope and/or a microscope. This equipment is operated in exactly the same way as with any other procedure, but either the microscope or the endoscope in use will be connected to the system of camera and filters for multispectral/hyperspectral analysis. During each surgical intervention, tissue-specific spectral data will be collected at specific stages - mostly once the brain surface is exposed and at the end of the resection on the surgical cavity. The operation will be visually recorded in order to sync visual data with the spectral data obtained at the same moment in time. The video recording will not be patient identifiable and will be viewed only by members of the research team working on this project (see below). The use of video recording equipment will be included in the patient information sheet given to all patients prior to gaining consent
Eligibility Criteria
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Inclusion Criteria
* Agreed to take part to the present research protocol and signed proper informed consent form
Exclusion Criteria
* Patients not capable to give consent - not in condition of understanding, processing and retaining information
18 Years
ALL
No
Sponsors
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Imperial College London
OTHER
Responsible Party
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Principal Investigators
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Kevin O'Neill, MD, FRCS
Role: STUDY_CHAIR
Imperial College of London, Charing Cross Hospital
Locations
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Imperial College NHS Trust, Charing Cross Hospital
London, England, United Kingdom
Countries
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Central Contacts
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Facility Contacts
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References
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Behrooz A, Waterman P, Vasquez KO, Meganck J, Peterson JD, Faqir I, Kempner J. Multispectral open-air intraoperative fluorescence imaging. Opt Lett. 2017 Aug 1;42(15):2964-2967. doi: 10.1364/OL.42.002964.
Lu HD, Chen G, Cai J, Roe AW. Intrinsic signal optical imaging of visual brain activity: Tracking of fast cortical dynamics. Neuroimage. 2017 Mar 1;148:160-168. doi: 10.1016/j.neuroimage.2017.01.006. Epub 2017 Jan 4.
Fawzy Y, Lam S, Zeng H. Rapid multispectral endoscopic imaging system for near real-time mapping of the mucosa blood supply in the lung. Biomed Opt Express. 2015 Jul 21;6(8):2980-90. doi: 10.1364/BOE.6.002980. eCollection 2015 Aug 1.
Zhang Y, Wirkert SJ, Iszatt J, Kenngott H, Wagner M, Mayer B, Stock C, Clancy NT, Elson DS, Maier-Hein L. Tissue classification for laparoscopic image understanding based on multispectral texture analysis. J Med Imaging (Bellingham). 2017 Jan;4(1):015001. doi: 10.1117/1.JMI.4.1.015001. Epub 2017 Jan 25.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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258210
Identifier Type: -
Identifier Source: org_study_id
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