Raman spectroscopy as a tool for the identification and differentiation of neoplasias contained within lymph nodes of the head and neck

摘要

The use of Raman spectroscopy in the detection and classification of malignancy within lymph nodes of the head and neck has been evaluated. Currently histopathology is considered the diagnostic gold standard. A consensus (majority) opinion from three expert histopathologists has been obtained and spectral diagnostic models developed by correlation with their opinions.rnRaman spectra have been measured at 830nm from 103 lymph nodes collected from patients undergoing surgery for a suspicious node. The pathologies covered reactive lymph nodes, primaries from Hodgkin's and non-Hodgkin's lymphomas and metastases from squamous cell carcinomas and adenocarcinomas. Spectral diagnostic models were constructed using PCA-fed-LDA and tested using leave-one-specimen-out cross validation. Models were constructed to distinguish between reactive and malignant nodes as well as a four group model to distinguish between the benign, metastatic and primary conditions. They achieved 89% and 84% correct prediction by node versus the gold standard, majority histopathology.