Reference : PATH-29. POTENTIAL OF RAMAN SPECTROSCOPY IN ONCOLOGICAL NEUROSURGERY
Scientific congresses, symposiums and conference proceedings : Poster
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/41259
PATH-29. POTENTIAL OF RAMAN SPECTROSCOPY IN ONCOLOGICAL NEUROSURGERY
English
Kleine Borgmann, Felix [> >]
Husch, Andreas mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Slimani, Redouane [> >]
Jelke, Finn [> >]
Mirizzi, Giulia [> >]
Klein, Karoline [> >]
Mittelbronn, Michel mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Hertel, Frank mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
2019
Yes
International
24th Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology
November 22 – 24, 2019
Phoenix, Arizona
USA
[en] Raman spectroscopy (RS) has gained increasing interest for the analysis of biological tissues within the recent years. It is a label-free, non-destructive method providing insights in biochemical properties of tumor cells. It is possible to compare RS signals with histological properties of identical tissue parts. Therefore, RS bears promising potentials in neurosurgical neurooncology. On one hand, it could potentially be used for both intraoperative tumor diagnostics and resection control. On the other hand, it could provide important knowledge on tumor biochemistry and used for a subclassification of tumors with a potential impact on personalized therapy approaches. Within our group, we analyzed over 3000 measurement points in different brain tumors ex vivo with a robotized RS system and correlated the spectral curves with histopathological results. We separated and subclassified the data by AI-based methods. Additionally, we compared the latter results with those of a handheld probe, which is potentially navigatable for in vivo, intraoperative applications. We could demonstrate, that it is possible to separate distinct tumor groups only based on RS signals, especially by using computer-based signal analysis. Furthermore, we could demonstrate the differences of the spectra of deep-frozen and formalin-fixed tissues versus non-fixed tissues. Based on our results, we will highlight the potentials of RS for intraoperative neurosurgical application in resection control for brain tumors, as well as we will focus on the potentials for brain tumor diagnostics based purely on this method or by using it as an adjunct. Those methods bear additional potentials in the field of personalized chemotherapy approaches.
http://hdl.handle.net/10993/41259
10.1093/neuonc/noz175.625
https://doi.org/10.1093/neuonc/noz175.625

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