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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04712214
Other study ID # 258210
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date March 28, 2021
Est. completion date October 30, 2023

Study information

Verified date April 2023
Source Imperial College London
Contact Giulio Anichini, MD, FEBNS
Phone 00447460946298
Email g.anichini@imperial.ac.uk
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The present study aims to investigate the potential application of multispectral analysis, hyperspectral imaging, and fluorescence during neuro-oncological procedures, specifically during brain tumour debulking / resection. These optics techniques are entirely non-invasive and consist in camera with a filter to be linked to the standard microsurgical and endoscopic instruments used in theatre. The research procedure consists of images acquisition and data processing, with virtually no additional invasive procedures to be performed on patients.


Description:

Surgical resection of brain tumours remains a challenge. While the center of a tumour is easily resectable, its margins are often fading into normal brain, and therefore quite difficult to identify. Moreover, there is now extensive literature proving that tumour cells extend way beyond visible margins of a tumour, following white matter tracts in the brain. As opposite to different organs (such as liver or kidney), resection of brain tumours beyond the visible margins is limited by the presence of eloquent/functional areas. Damages or resection of these areas will inevitably cause a permanent disability, which can be incredibly serious and impact on further treatment: a paralyzed or unconscious patient is not capable of tolerating chemotherapy or radiotherapy after surgery, both crucial complementary forms of treatment to contain the disease, in combination with surgery. 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.


Recruitment information / eligibility

Status Recruiting
Enrollment 50
Est. completion date October 30, 2023
Est. primary completion date October 30, 2023
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Candidates for surgery due to a confirmed clinical and radiological diagnosis of cranial intrinsic or extrinsic tumour - any histological diagnosis confirming neuro-oncological disease, including primary and secondary disease - Agreed to take part to the present research protocol and signed proper informed consent form Exclusion Criteria: - Suspected differential diagnosis of pathological condition affecting central nervous system other than neuro-oncological disease - including demyelinating diseases, infections, brain traumas / haematomas, vascular or auto-immune diseases - Patients not capable to give consent - not in condition of understanding, processing and retaining information

Study Design


Intervention

Device:
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

Locations

Country Name City State
United Kingdom Imperial College NHS Trust, Charing Cross Hospital London England

Sponsors (1)

Lead Sponsor Collaborator
Imperial College London

Country where clinical trial is conducted

United Kingdom, 

References & Publications (4)

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Analysis of spectroscopic signal reading between brain tissue and brain tumour Brain tissue and tumour tissue, the signals collected will be correlated both to the visual signal seen on normal operative field, a pre-set of brain images, and the signal seen on the peri-operative imaging (MRI scan). 3 years
Primary Analysis of spectroscopic signal reading between functional brain areas and non functional brain areas The signal collected will be correlated with the neuro-physiological intra-operative findings, in every case there is an indication to do so, and with the expected location of the eloquent areas on the peri-operative images. 3 years
Secondary Analysis of spectroscopic signal reading of surgical field as seen at its baseline and under fluorescence-specific light Comparison will be made between multispectral / hyper spectral acquired images, and the same images acquired with the addition of fluorescence light 3 years
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