Technology & Data Science for Enhanced Patient Care

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EUROPE 2015

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Presented at 2015_EU

DESI-MS and REIMS as Excellent Techniques to Complement and Support Histology in Ovarian Cancer
Luisa Doria
Imperial College of London

Ovarian cancer is the fifth most common cancer among women and one of the causes is the poor and vague prognosis and diagnosis. REIMS and DESI-MS are two mass spectrometry techniques with great potential to characterize and discriminate different cancer types and stages. Both techniques are excellent to complement and support histology, REIMS can identify different ovarian cancer types in real time and DESI can provide detailed spatial information within the sample giving the opportunity to investigate tumour biology from an entirely new perspective with accurate biochemical information about each tissue type.

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