Diagnosis of Glioma Molecular Markers by Terahertz Technologies
Olga Cherkasova,
Yan Peng,
Maria Konnikova,
Yuri Kistenev,
Chenjun Shi,
Denis Vrazhnov,
Oleg Shevelev,
Evgeny Zavjalov,
Sergei Kuznetsov,
Alexander Shkurinov
Affiliations
Olga Cherkasova
Institute of Laser Physics, Siberian Branch of the RAS, 630090 Novosibirsk, Russia
Yan Peng
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
Maria Konnikova
Institute on Laser and Information Technologies, Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of RAS, 140700 Shatura, Russia
Yuri Kistenev
Laboratory of Biophotonics, Tomsk State University, 634050 Tomsk, Russia
Chenjun Shi
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
Denis Vrazhnov
Institute of Strength Physics and Materials Science, Siberian Branch of the RAS, 634055 Tomsk, Russia
Oleg Shevelev
Federal Research Center “Institute of Cytology and Genetics of the Siberian Branch of the RAS”, 630090 Novosibirsk, Russia
Evgeny Zavjalov
Federal Research Center “Institute of Cytology and Genetics of the Siberian Branch of the RAS”, 630090 Novosibirsk, Russia
Sergei Kuznetsov
Analytical and Technological Research Center, Novosibirsk State University, 630090 Novosibirsk, Russia
Alexander Shkurinov
Institute on Laser and Information Technologies, Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of RAS, 140700 Shatura, Russia
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.
