Diagnosis of Glioma Molecular Markers by Terahertz Technologies
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-b...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/8/1/22 |
| _version_ | 1797410791223197696 |
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| author | Olga Cherkasova Yan Peng Maria Konnikova Yuri Kistenev Chenjun Shi Denis Vrazhnov Oleg Shevelev Evgeny Zavjalov Sergei Kuznetsov Alexander Shkurinov |
| author_facet | Olga Cherkasova Yan Peng Maria Konnikova Yuri Kistenev Chenjun Shi Denis Vrazhnov Oleg Shevelev Evgeny Zavjalov Sergei Kuznetsov Alexander Shkurinov |
| author_sort | Olga Cherkasova |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T04:35:19Z |
| format | Article |
| id | doaj.art-d3e8c2b42e654dd795245e4d539c7c18 |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-09T04:35:19Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-d3e8c2b42e654dd795245e4d539c7c182023-12-03T13:30:00ZengMDPI AGPhotonics2304-67322021-01-01812210.3390/photonics8010022Diagnosis of Glioma Molecular Markers by Terahertz TechnologiesOlga Cherkasova0Yan Peng1Maria Konnikova2Yuri Kistenev3Chenjun Shi4Denis Vrazhnov5Oleg Shevelev6Evgeny Zavjalov7Sergei Kuznetsov8Alexander Shkurinov9Institute of Laser Physics, Siberian Branch of the RAS, 630090 Novosibirsk, RussiaTerahertz 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, ChinaInstitute on Laser and Information Technologies, Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of RAS, 140700 Shatura, RussiaLaboratory of Biophotonics, Tomsk State University, 634050 Tomsk, RussiaTerahertz 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, ChinaInstitute of Strength Physics and Materials Science, Siberian Branch of the RAS, 634055 Tomsk, RussiaFederal Research Center “Institute of Cytology and Genetics of the Siberian Branch of the RAS”, 630090 Novosibirsk, RussiaFederal Research Center “Institute of Cytology and Genetics of the Siberian Branch of the RAS”, 630090 Novosibirsk, RussiaAnalytical and Technological Research Center, Novosibirsk State University, 630090 Novosibirsk, RussiaInstitute on Laser and Information Technologies, Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of RAS, 140700 Shatura, RussiaThis 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.https://www.mdpi.com/2304-6732/8/1/22brain gliomaglioma molecular markersterahertz spectroscopyterahertz imagingmetamaterialsmachine learning |
| spellingShingle | Olga Cherkasova Yan Peng Maria Konnikova Yuri Kistenev Chenjun Shi Denis Vrazhnov Oleg Shevelev Evgeny Zavjalov Sergei Kuznetsov Alexander Shkurinov Diagnosis of Glioma Molecular Markers by Terahertz Technologies Photonics brain glioma glioma molecular markers terahertz spectroscopy terahertz imaging metamaterials machine learning |
| title | Diagnosis of Glioma Molecular Markers by Terahertz Technologies |
| title_full | Diagnosis of Glioma Molecular Markers by Terahertz Technologies |
| title_fullStr | Diagnosis of Glioma Molecular Markers by Terahertz Technologies |
| title_full_unstemmed | Diagnosis of Glioma Molecular Markers by Terahertz Technologies |
| title_short | Diagnosis of Glioma Molecular Markers by Terahertz Technologies |
| title_sort | diagnosis of glioma molecular markers by terahertz technologies |
| topic | brain glioma glioma molecular markers terahertz spectroscopy terahertz imaging metamaterials machine learning |
| url | https://www.mdpi.com/2304-6732/8/1/22 |
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