| Autor: |
I. D. Romanishkin, L. R. Bikmukhametova, T. A. Savelieva, S. A. Goryaynov, A. V. Kosyrkova, V. A. Okhlopkov, D. A. Golbin, I. Yu. Poletaeva, A. A. Potapov, V. B. Loschenov |
| Jazyk: |
ruština |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Biomedical Photonics, Vol 9, Iss 3, Pp 4-12 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2413-9432 |
| DOI: |
10.24931/2413-9432-2020-9-3-4-12 |
| Popis: |
Neurosurgery of intracranial tumors, especially of glial origin, is a non-trivial task due to their infiltrative growth. In recent years, optical methods of intraoperative navigation have been actively used in neurosurgery. However, one of the most widely used approaches based on the selective accumulation of fluorescent contrast medium (5-ALA-induced protoporphyrin IX) by the tumor cannot be applied to a significant number of tumors due to its low accumulation. On the contrary, Raman spectroscopy, which allows analyzing the molecular composition of tissues while preserving all the advantages of the method of fluorescence spectroscopy, does not require the use of an exogenous dye and may become a method of choice when composing a system for intraoperative navigation or optical biopsy. This work presents the first results of using the principal component method to classify Raman spectra of human glioblastoma with intermediate processing of spectra to minimize possible errors from the fluorescence of both endogenous fluorophores and photosensitizers used in fluorescence navigation. As a result, differences were found in the principal component space, corresponding to tissue samples with microcystic components, extensive areas of necrosis, and foci of fresh hemorrhages. It is shown that this approach can serve as the basis for constructing a system for automatic intraoperative tissue classification based on the analysis of Raman spectra. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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