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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Main Authors: Hussein Mehidine, Emile Kaadou Mouawad, Pascale Varlet, Bertrand Devaux, Darine Abi Haidar
格式: Article
語言:English
出版: MDPI AG 2023-04-01
叢編:Photonics
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在線閱讀:https://www.mdpi.com/2304-6732/10/4/434
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author Hussein Mehidine
Emile Kaadou Mouawad
Pascale Varlet
Bertrand Devaux
Darine Abi Haidar
author_facet Hussein Mehidine
Emile Kaadou Mouawad
Pascale Varlet
Bertrand Devaux
Darine Abi Haidar
author_sort Hussein Mehidine
collection DOAJ
description 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.
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spelling doaj.art-bbf6f6bc656b469b91c4995e37752e382023-11-17T20:58:00ZengMDPI AGPhotonics2304-67322023-04-0110443410.3390/photonics10040434Quantitative Endogenous Fluorescence Analysis Discriminates Glioblastoma Tumor through Visible and NIR ExcitationHussein Mehidine0Emile Kaadou Mouawad1Pascale Varlet2Bertrand Devaux3Darine Abi Haidar4Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, FranceUniversité Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, FranceUniversité Paris Cité, Faculté de Médecine Paris Descartes, 75006 Paris, FranceUniversité Paris Cité, Faculté de Médecine Paris Descartes, 75006 Paris, FranceUniversité Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, FranceNowadays, 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.https://www.mdpi.com/2304-6732/10/4/434endogenous fluorescenceoptical propertiesphasor FLIMspectral analysis
spellingShingle Hussein Mehidine
Emile Kaadou Mouawad
Pascale Varlet
Bertrand Devaux
Darine Abi Haidar
Quantitative Endogenous Fluorescence Analysis Discriminates Glioblastoma Tumor through Visible and NIR Excitation
Photonics
endogenous fluorescence
optical properties
phasor FLIM
spectral analysis
title Quantitative Endogenous Fluorescence Analysis Discriminates Glioblastoma Tumor through Visible and NIR Excitation
title_full Quantitative Endogenous Fluorescence Analysis Discriminates Glioblastoma Tumor through Visible and NIR Excitation
title_fullStr Quantitative Endogenous Fluorescence Analysis Discriminates Glioblastoma Tumor through Visible and NIR Excitation
title_full_unstemmed Quantitative Endogenous Fluorescence Analysis Discriminates Glioblastoma Tumor through Visible and NIR Excitation
title_short Quantitative Endogenous Fluorescence Analysis Discriminates Glioblastoma Tumor through Visible and NIR Excitation
title_sort quantitative endogenous fluorescence analysis discriminates glioblastoma tumor through visible and nir excitation
topic endogenous fluorescence
optical properties
phasor FLIM
spectral analysis
url https://www.mdpi.com/2304-6732/10/4/434
work_keys_str_mv AT husseinmehidine quantitativeendogenousfluorescenceanalysisdiscriminatesglioblastomatumorthroughvisibleandnirexcitation
AT emilekaadoumouawad quantitativeendogenousfluorescenceanalysisdiscriminatesglioblastomatumorthroughvisibleandnirexcitation
AT pascalevarlet quantitativeendogenousfluorescenceanalysisdiscriminatesglioblastomatumorthroughvisibleandnirexcitation
AT bertranddevaux quantitativeendogenousfluorescenceanalysisdiscriminatesglioblastomatumorthroughvisibleandnirexcitation
AT darineabihaidar quantitativeendogenousfluorescenceanalysisdiscriminatesglioblastomatumorthroughvisibleandnirexcitation