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

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

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’ potential in molecular marker detection and defining the boundaries of the glioma’s tissue is discussed.

Original languageEnglish
Article number22
Pages (from-to)1-30
Number of pages30
JournalPhotonics
Volume8
Issue number1
DOIs
Publication statusPublished - Jan 2021

Keywords

  • Brain glioma
  • Glioma molecular markers
  • Machine learning
  • Metamaterials
  • Terahertz imaging
  • Terahertz spectroscopy

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