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Discrimination between primary low and high grade tumor and secondary metastasis tumor from deep-UV to NIR
Author(s): H. Mehidine; F. Jamme; A. Chalumeau; F. Poulon; P. Varlet; B. Devaux; M. Refregiers; D. Abi Haidar
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Paper Abstract

Among Central Nervous System (CNS) tumors, diffuse glioma are the most infiltrating and malignant tumors. According to the World Health Organization (WHO), they are classified into different grades, referring to their pathological class and histological properties. To treat glioma tumors, many methods have been proposed, still the standard one remains the maximal safe total resection. During the operation, many difficulties obstruct the surgeon to identify the infiltrated areas, which contains diffuse tumors cells, around the solid area of the tumor, overlapping the healthy areas, and presenting the same visual appearances. If not totally removed, these infiltrating zones can increase the risk of recurrence and affects the survival rate of patient. To overcome this problem, we develop a multimodal two-photon endomicroscope, based on the endogenous fluorescence of brain tissues, to assist the surgeon during the surgery. The tool will provide him information on the infiltrated areas and their histological nature. In this paper, we tried to discriminate between metastasis, low grade and high grade glioma from healthy fresh tissues, presenting a multimodal study using deep ultraviolet, visible and near infrared excitation to acquire spectral measurements, Fluorescence Lifetime Imaging (FLIM) and Two-Photon Emission Fluorescence (TPEF) imaging. We compared also our TPEF and FLIM images to the histological images.

Paper Details

Date Published: 27 February 2019
PDF: 9 pages
Proc. SPIE 10871, Multimodal Biomedical Imaging XIV, 1087109 (27 February 2019); doi: 10.1117/12.2506766
Show Author Affiliations
H. Mehidine, Imagerie et Modélisation en Neurobiologie et Cancérologie, CNRS (France)
F. Jamme, Synchrotron SOLEIL (France)
A. Chalumeau, Imagerie et Modélisation en Neurobiologie et Cancérologie, CNRS (France)
F. Poulon, Imagerie et Modélisation en Neurobiologie et Cancérologie, CNRS (France)
P. Varlet, Ctr. Hospitalier Sainte-Anne (France)
B. Devaux, Ctr. Hospitalier Sainte-Anne (France)
M. Refregiers, Synchrotron SOLEIL (France)
D. Abi Haidar, Imagerie et Modélisation en Neurobiologie et Cancérologie, CNRS (France)

Published in SPIE Proceedings Vol. 10871:
Multimodal Biomedical Imaging XIV
Fred S. Azar; Xavier Intes; Qianqian Fang, Editor(s)

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