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Diagnosis of glioma molecular markers by terahertz technologies. / Cherkasova, Olga; Peng, Yan; Konnikova, Maria et al.

In: Photonics, Vol. 8, No. 1, 22, 01.2021, p. 1-30.

Research output: Contribution to journal › Review article › peer-review

Harvard

Cherkasova, O, Peng, Y, Konnikova, M, Kistenev, Y, Shi, C, Vrazhnov, D, Shevelev, O, Zavjalov, E, Kuznetsov, S & Shkurinov, A 2021, 'Diagnosis of glioma molecular markers by terahertz technologies', Photonics, vol. 8, no. 1, 22, pp. 1-30. https://doi.org/10.3390/photonics8010022

APA

Cherkasova, O., Peng, Y., Konnikova, M., Kistenev, Y., Shi, C., Vrazhnov, D., Shevelev, O., Zavjalov, E., Kuznetsov, S., & Shkurinov, A. (2021). Diagnosis of glioma molecular markers by terahertz technologies. Photonics, 8(1), 1-30. [22]. https://doi.org/10.3390/photonics8010022

Vancouver

Cherkasova O, Peng Y, Konnikova M, Kistenev Y, Shi C, Vrazhnov D et al. Diagnosis of glioma molecular markers by terahertz technologies. Photonics. 2021 Jan;8(1):1-30. 22. doi: 10.3390/photonics8010022

Author

Cherkasova, Olga ; Peng, Yan ; Konnikova, Maria et al. / Diagnosis of glioma molecular markers by terahertz technologies. In: Photonics. 2021 ; Vol. 8, No. 1. pp. 1-30.

BibTeX

@article{a75f01e408f14a2aac3cd89d68627e93,
title = "Diagnosis of glioma molecular markers by terahertz technologies",
abstract = "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{\textquoteright} potential in molecular marker detection and defining the boundaries of the glioma{\textquoteright}s tissue is discussed.",
keywords = "Brain glioma, Glioma molecular markers, Machine learning, Metamaterials, Terahertz imaging, Terahertz spectroscopy",
author = "Olga Cherkasova and Yan Peng and Maria Konnikova and Yuri Kistenev and Chenjun Shi and Denis Vrazhnov and Oleg Shevelev and Evgeny Zavjalov and Sergei Kuznetsov and Alexander Shkurinov",
note = "Funding Information: This work was supported by the Russian Foundation for Basic Research (grant # 19-52- 55004), the Ministry of Science and Higher Education of the Russian Federation within the Agreement No. 075-15-2019-1950, within the State assignment FSRC ?Crystallography and Photonics? RAS, within the State assignment of ILP SB RAS (project # 0307-2019-0007), within the State assignment of the Center for Genetic Resources of Laboratory Animals at ICG SB RAS (project # RFMEFI62119X0023). This work was supported by the Government of the Russian Federation (proposal No. 2020-220-08- 2389 to support scientific research projects implemented under the supervision of leading scientists at Russian institutions, Russian institutions of higher education). This work was performed as part of the government statement of work for ISPMS Project No. III.23.2.10. This work has been supported by the Interdisciplinary Scientific and Educational School of Moscow University ?Photonic and Quantum Technologies. Digital Medicine?. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = jan,
doi = "10.3390/photonics8010022",
language = "English",
volume = "8",
pages = "1--30",
journal = "Photonics",
issn = "2304-6732",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "1",

}

RIS

TY - JOUR

T1 - Diagnosis of glioma molecular markers by terahertz technologies

AU - Cherkasova, Olga

AU - Peng, Yan

AU - Konnikova, Maria

AU - Kistenev, Yuri

AU - Shi, Chenjun

AU - Vrazhnov, Denis

AU - Shevelev, Oleg

AU - Zavjalov, Evgeny

AU - Kuznetsov, Sergei

AU - Shkurinov, Alexander

N1 - Funding Information: This work was supported by the Russian Foundation for Basic Research (grant # 19-52- 55004), the Ministry of Science and Higher Education of the Russian Federation within the Agreement No. 075-15-2019-1950, within the State assignment FSRC ?Crystallography and Photonics? RAS, within the State assignment of ILP SB RAS (project # 0307-2019-0007), within the State assignment of the Center for Genetic Resources of Laboratory Animals at ICG SB RAS (project # RFMEFI62119X0023). This work was supported by the Government of the Russian Federation (proposal No. 2020-220-08- 2389 to support scientific research projects implemented under the supervision of leading scientists at Russian institutions, Russian institutions of higher education). This work was performed as part of the government statement of work for ISPMS Project No. III.23.2.10. This work has been supported by the Interdisciplinary Scientific and Educational School of Moscow University ?Photonic and Quantum Technologies. Digital Medicine?. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/1

Y1 - 2021/1

N2 - 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.

AB - 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.

KW - Brain glioma

KW - Glioma molecular markers

KW - Machine learning

KW - Metamaterials

KW - Terahertz imaging

KW - Terahertz spectroscopy

UR - http://www.scopus.com/inward/record.url?scp=85100803358&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/7c1645e7-7c96-398e-a937-060e122cf2d9/

U2 - 10.3390/photonics8010022

DO - 10.3390/photonics8010022

M3 - Review article

AN - SCOPUS:85100803358

VL - 8

SP - 1

EP - 30

JO - Photonics

JF - Photonics

SN - 2304-6732

IS - 1

M1 - 22

ER -

ID: 27879047