Quantitative Endogenous Fluorescence Analysis Discriminates Glioblastoma Tumor through Visible and NIR Excitation

Nowadays, the ability to diagnose brain tumors intraoperatively and delineate their margins, as accurately as possible, is of primordial importance during surgery. However, the exact tumor boundaries and targets are difficult to find due to the similar visual appearances especially at the margins, l...

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Bibliographic Details
Published in:Photonics 2023-04, Vol.10 (4), p.434
Main Authors: Mehidine, Hussein, Kaadou Mouawad, Emile, Varlet, Pascale, Devaux, Bertrand, Abi Haidar, Darine
Format: Article
Language:English
Subjects:
Anisotropy
Brain cancer
Brain research
Brain tumors
Comparative analysis
Comparative studies
endogenous fluorescence
Excitation
Fluorescence
Glioblastoma
In vivo methods and tests
Lasers
Metabolism
Microscopy
Neurosciences
Optical properties
Optics
Parameters
phasor FLIM
Photons
Signatures
Software
spectral analysis
Spectrum analysis
Surgery
Tissues
Tumors
Visual discrimination
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Summary:Nowadays, the ability to diagnose brain tumors intraoperatively and delineate their margins, as accurately as possible, is of primordial importance during surgery. However, the exact tumor boundaries and targets are difficult to find due to the similar visual appearances especially at the margins, leading in many cases to poor surgical outcomes and a high risk of recurrences. To solve this dogma, our group tried to determine different tissue optical signatures such as optical parameters and endogenous fluorescence. For that, we conducted a comparative study to differentiate between healthy and tumorous tissues under one- and two-photon excitations on optical properties to explore several optical parameters. In addition, the study of endogenous fluorescence can successfully help with the discrimination between tissue types using one- and two-photon excitations. This works suggests that the multimodal analysis of optical signatures of tissues could be a reliable technique that can be used to differentiate between healthy and tumorous tissues. This can help in the future with the implementation of such techniques in vivo during surgery to help the surgeon with the decision that needs to be taken as for tissue resection.
ISSN:2304-6732
2304-6732
DOI:10.3390/photonics10040434