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Review

Diagnosis of Glioma Molecular Markers by Terahertz Technologies

1
Institute of Laser Physics, Siberian Branch of the RAS, 630090 Novosibirsk, Russia
2
Institute on Laser and Information Technologies, Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of RAS, 140700 Shatura, Russia
3
Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai 200093, China
4
Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
5
Laboratory of Biophotonics, Tomsk State University, 634050 Tomsk, Russia
6
Central Research Laboratory, Siberian State Medical University, 634050 Tomsk, Russia
7
Institute of Strength Physics and Materials Science, Siberian Branch of the RAS, 634055 Tomsk, Russia
8
Federal Research Center “Institute of Cytology and Genetics of the Siberian Branch of the RAS”, 630090 Novosibirsk, Russia
9
Analytical and Technological Research Center, Novosibirsk State University, 630090 Novosibirsk, Russia
10
Rzhanov Institute of Semiconductor Physics, Siberian Branch of the RAS, 630090 Novosibirsk, Russia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this study and share first authorship.
Photonics 2021, 8(1), 22; https://doi.org/10.3390/photonics8010022
Received: 14 December 2020 / Revised: 12 January 2021 / Accepted: 13 January 2021 / Published: 16 January 2021
(This article belongs to the Special Issue Terahertz Biophotonics)
This review considers glioma molecular markers in brain tissues and body fluids, shows the pathways of their formation, and describes traditional methods of analysis. The most important optical properties of glioma markers in the terahertz (THz) frequency range are also presented. New metamaterial-based technologies for molecular marker detection at THz frequencies are discussed. A variety of machine learning methods, which allow the marker detection sensitivity and differentiation of healthy and tumor tissues to be improved with the aid of THz tools, are considered. The actual results on the application of THz techniques in the intraoperative diagnosis of brain gliomas are shown. THz technologies’ potential in molecular marker detection and defining the boundaries of the glioma’s tissue is discussed. View Full-Text
Keywords: brain glioma; glioma molecular markers; terahertz spectroscopy; terahertz imaging; metamaterials; machine learning brain glioma; glioma molecular markers; terahertz spectroscopy; terahertz imaging; metamaterials; machine learning
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MDPI and ACS Style

Cherkasova, O.; Peng, Y.; Konnikova, M.; Kistenev, Y.; Shi, C.; Vrazhnov, D.; Shevelev, O.; Zavjalov, E.; Kuznetsov, S.; Shkurinov, A. Diagnosis of Glioma Molecular Markers by Terahertz Technologies. Photonics 2021, 8, 22. https://doi.org/10.3390/photonics8010022

AMA Style

Cherkasova O, Peng Y, Konnikova M, Kistenev Y, Shi C, Vrazhnov D, Shevelev O, Zavjalov E, Kuznetsov S, Shkurinov A. Diagnosis of Glioma Molecular Markers by Terahertz Technologies. Photonics. 2021; 8(1):22. https://doi.org/10.3390/photonics8010022

Chicago/Turabian Style

Cherkasova, Olga, Yan Peng, Maria Konnikova, Yuri Kistenev, Chenjun Shi, Denis Vrazhnov, Oleg Shevelev, Evgeny Zavjalov, Sergei Kuznetsov, and Alexander Shkurinov. 2021. "Diagnosis of Glioma Molecular Markers by Terahertz Technologies" Photonics 8, no. 1: 22. https://doi.org/10.3390/photonics8010022

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