BACKGROUNDRaman spectroscopy probes the unique molecular vibrations of a sample to accurately characterise its molecular composition. No sample processing is required allowing for rapid analysis of fresh tissue. The genetic classification of gliomas, particularly isocitrate dehydrogenase (IDH) mutations, is critical for clinical decision-making. With the development of new drugs targeting specific glioma genetic subtypes it will become increasingly important for surgeons to be aware of the genetics of the tumour at the time of operation to inform their surgical strategy. The aim of this study was to use Raman spectroscopy on fresh samples taken straight from the operating theatre and to classify gliomas according to their genetic subtypes. Similar classification models were built using cryosections and formalin-fix paraffin embedded (FFPE) sections.
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