biophBiomedical PhotonicsBiomedical Photonics2413-9432Non-profit partnership for development of domestic photodynamic therapy and photodiagnosis10.24931/2413-9432-2020-9-3-4-12bioph-435Research ArticleОРИГИНАЛЬНЫЕ СТАТЬИORIGINAL ARTICLESCпектроскопия спонтанного комбинационного рассеяния для ex vivo диагностики внутричерепных опухолейSpontaneous Raman spectroscopy for intracranial tumors diagnostics ex vivoРоманишкинИ. Д.RomanishkinI. D.

Москва

Moscow

igor.romanishkin@gmail.comБикмухаметоваЛ. Р.BikmukhametovaL. R.

Москва

Moscow

СавельеваТ. А.SavelievaT. A.

Москва

Moscow

ГоряйновС. А.GoryaynovS. A.

Москва

Moscow

КосырьковаА. В.KosyrkovaA. V.

Москва

Moscow

ОхлопковВ. А.OkhlopkovV. A.

Москва

Moscow

ГольбинД. А.GolbinD. A.

Москва

Moscow

ПолетаеваИ. Ю.PoletaevaI. Yu.

Москва

Moscow

ПотаповА. А.PotapovA. A.

Москва

Moscow

ЛощеновВ. Б.LoschenovV. B.

Москва

Moscow

Институт общей физики им. А.М.Прохорова Российской академии наукРоссияProkhorov General Physics Institute of the Russian Academy of SciencesRussian FederationООО «БИОСПЕК»РоссияООО “BIOSPEC”Russian FederationИнститут общей физики им. А.М.Прохорова Российской академии наук; Национальный исследовательский ядерный университет «МИФИ»РоссияProkhorov General Physics Institute of the Russian Academy of Sciences; National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)Russian FederationНМИЦ нейрохирургии им.ак. Н.Н.БурденкоРоссияN.N. Burdenko National Medical Research Center of NeurosurgeryRussian FederationИнститут общей физики им. А.М.Прохорова Российской академии наук; ООО «БИОСПЕК»; Национальный исследовательский ядерный университет «МИФИ»РоссияProkhorov General Physics Institute of the Russian Academy of Sciences; ООО “BIOSPEC”; National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)Russian Federation20201810202093412Copyright © Романишкин И.Д., Бикмухаметова Л.Р., Савельева Т.А., Горяйнов С.А., Косырькова А.В., Охлопков В.А., Гольбин Д.А., Полетаева И.Ю., Потапов А.А., Лощенов В.Б., 20202020Романишкин И.Д., Бикмухаметова Л.Р., Савельева Т.А., Горяйнов С.А., Косырькова А.В., Охлопков В.А., Гольбин Д.А., Полетаева И.Ю., Потапов А.А., Лощенов В.Б.Romanishkin I.D., Bikmukhametova L.R., Savelieva T.A., Goryaynov S.A., Kosyrkova A.V., Okhlopkov V.A., Golbin D.A., Poletaeva I.Y., Potapov A.A., Loschenov V.B.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.pdt-journal.com/jour/article/view/435

Cпектроскопия спонтанного комбинационного рассеяния для ex vivo диагностики внутричерепных опухолей  Нейрохирургия внутричерепных опухолей, особенно глиального происхождения, представляет нетривиальную задачу в силу их инфильтративного роста. В последние годы в нейрохирургии активно используются оптические методы интраоперационной навигации, однако один из наиболее широко распространенных подходов, основанный на селективном накоплении опухолью флуоресцентного контрастного вещества (5-АЛК индуцированного протопорфирина IX), не может быть применен для значимой части опухолей вследствие его низкого накопления. Напротив, спектроскопия комбинационного рассеяния, позволяющая проводить анализ молекулярного состава тканей с сохранением всех достоинств метода флуоресцентной спектроскопии, не требует при этом введения экзогенного красителя и может быть вариантом выбора при построении системы интраоперационной навигации или оптической биопсии. В настоящей работе представлены первые результаты использования метода главных компонент для классификации спектров комбинационного рассеяния глиобластомы человека с промежуточной обработкой спектров для минимизации возможных ошибок от флуоресценции как эндогенных флуорофоров, так и фотосенсибилизаторов, используемых при флуоресцентной навигации. В результате были обнаружены различия в пространстве главных компонент, соответствующие образцам тканей с микрокистозными компонентами, обширными участками некрозов, фокусами свежих кровоизлияний. Показано, что данный подход может послужить основой для построения системы автоматической интраоперационной классификации тканей на основе анализа спектров комбинационного рассеяния.

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.

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The authors declare that there are no conflicts of interest present.