Raman spectroscopy (RS) is an optical high specificity label-free method increasingly applied to get molecular fingerprints of biological tissues and cells. Recent technological advances have created a novel and fast Raman imaging microscope instrument, providing morphological investigation of large tissue areas, coupled with point-by-point spectral analysis of biochemical composition. This modality is important not only for discrimination between healthy and pathological tissues, but especially for gaining specific molecular information on the gradual biochemical changes from a healthy tissue to a tumor state and for the identification of key components responsible for tumorigenesis and its leading events. The aim of the present work is to demonstrate that RS is able to reliably descriminate between healthy and papillary thyroid carcinoma (PTC) tissue and is suitable for the improved non-invasive diagnosis and detection of thyroid tissues. Our results demonstrate that the achieved diagnostic accuracy is compatible with the clinical use and that RS imaging of human tissues may improve histopathological evaluation.
RAMAN IMAGING OF TISSUES TOWARDS CLINICAL CANCER DIAGNOSTICS / Rau, J. V.; Fosca, M.; Graziani, Valerio; Taffon, C.; La Vaccara, V.; Caricato, M.; Crescenzi, A.. - ELETTRONICO. - 1:(2016), pp. 299-303. (Intervento presentato al convegno BioMaH tenutosi a CNR, Roma, Italy nel 17-20 ottobre 2016).
RAMAN IMAGING OF TISSUES TOWARDS CLINICAL CANCER DIAGNOSTICS
GRAZIANI, VALERIO;Crescenzi, A.
2016
Abstract
Raman spectroscopy (RS) is an optical high specificity label-free method increasingly applied to get molecular fingerprints of biological tissues and cells. Recent technological advances have created a novel and fast Raman imaging microscope instrument, providing morphological investigation of large tissue areas, coupled with point-by-point spectral analysis of biochemical composition. This modality is important not only for discrimination between healthy and pathological tissues, but especially for gaining specific molecular information on the gradual biochemical changes from a healthy tissue to a tumor state and for the identification of key components responsible for tumorigenesis and its leading events. The aim of the present work is to demonstrate that RS is able to reliably descriminate between healthy and papillary thyroid carcinoma (PTC) tissue and is suitable for the improved non-invasive diagnosis and detection of thyroid tissues. Our results demonstrate that the achieved diagnostic accuracy is compatible with the clinical use and that RS imaging of human tissues may improve histopathological evaluation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
