Approach to building a decision support system in neuro-oncology based on fluorescence, diffuse and raman scattering spectroscopy methods
Tatiana A. Savelieva1,2*, Igor D. Romanishkin1, Anuar Ospanov2, Svetlana V. Shugai3, Sergei A. Goryaynov3, Galina V. Pavlova3,4, Igor N. Pronin3, Victor B. Loschenov1,2
1 Institute of General Physics named after A.M. Prokhorov Russian Academy of Sciences, Moscow, Russia
2 National Research Nuclear University MEPhI (MEPhI), Moscow, Russia
3 National Medical Research Center for Neurosurgery named after. Academician N.N. Burdenko, Moscow, Russia
4 Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
Abstract
A large collaborative project on biobanking of intracranial tumors is currently underway in the cryoconservation laboratory of the N.N. Burdenko National Medical Research Center of Neurosurgery. The task of GPI RAS in this project is to obtain optical-spectral signatures of tumor tissues obtained directly after exposure in different modes, such as fluorescence (5-ALA induced and endogenous), diffuse reflectance and Raman spectroscopy. We developed a model bsed on machine learning techniques which allows to differentiate glial and meningial tumor and also differentiate areas of actively growth of tumor, perifocal and normal tissues.
Speaker
Tatiana A. Savelieva
GPI RAS
Russia
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