Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms

Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms

Objective and Methods: Timely discrimination between primary CNS lymphoma (PCNSL) and glioblastoma is crucial for diagnostics and therapy, but most importantly also determines the intraoperative surgical course. Advanced radiological methods allow this to a certain extent but ultimately, biopsy i...

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Bibliographic Details
Main Authors: Gilbert Georg Klamminger, Karoline Klein, Laurent Mombaerts, Finn Jelke, Giulia Mirizzi, Rédouane Slimani, Andreas Husch, Michel Mittelbronn, Frank Hertel, Felix Bruno Kleine Borgmann
Format: Article
Language:English
Published: University of Münster / Open Journals System 2021-10-01
Series:Free Neuropathology
Subjects:
Raman spectroscopy
PCNSL
Glioblastoma
Machine learning
Online Access:https://www.uni-muenster.de/Ejournals/index.php/fnp/article/view/3458

Internet

https://www.uni-muenster.de/Ejournals/index.php/fnp/article/view/3458

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