Diagnosis of glioma molecular markers by terahertz technologies
| Autor: | M. Konnikova, Evgeny Zavjalov, Sergei A. Kuznetsov, Yan Peng, Chenjun Shi, Denis A. Vrazhnov, Yuri V. Kistenev, Olga P. Cherkasova, Alexander P. Shkurinov, Oleg B. Shevelev |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
lcsh:Applied optics. Photonics
Brain glioma Materials science Terahertz radiation terahertz spectroscopy терагерцовая визуализация 01 natural sciences 010309 optics молекулярные маркеры 03 medical and health sciences chemistry.chemical_compound terahertz imaging 0302 clinical medicine brain glioma глиома головного мозга Molecular marker Glioma 0103 physical sciences medicine Radiology Nuclear Medicine and imaging Instrumentation lcsh:TA1501-1820 medicine.disease Tumor tissue Atomic and Molecular Physics and Optics Brain gliomas Terahertz spectroscopy and technology терагерцовая спектроскопия metamaterials machine learning chemistry glioma molecular markers 030220 oncology & carcinogenesis Biomedical engineering |
| Zdroj: | Photonics. 2021. Vol. 8, № 1. P. 22 (1-30) Photonics, Vol 8, Iss 22, p 22 (2021) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|